Conferences

Anderson Rocha

  1. LAVI, Bahram ; NASCIMENTO, José Dori ; ROCHA, ANDERSON . Semi-supervised Feature Embedding for Data Sanitization in Real-World Events. In: IEEE International Conference on on Acoustics, Speech and Signal Processing (ICASSP), 2021, Toronto. Prof. of the IEEE International Conference on on Acoustics, Speech and Signal Processing (ICASSP), 2021.
  2. SORIANO-VARGAS, A. ; ROLLMANN, Klaus ; ALMEIDA, Forlan ; DAVOLIO, Alessandra ; HAMANN, Bernd ; SCHIOZER, Denis ; ROCHA, ANDERSON . Leveraging Phylogenetic Trees to Assess Variability of Reservoir Models. In: SPE Latin American and Caribbean Petroleum Engineering Conference (LACPEC),, 2020, Bogotá. SPE Latin American and Caribbean Petroleum Engineering Conference (LACPEC),, 2020.
  3. OLIVEIRA, Alberto ; ROCHA, ANDERSON . Contextual Features and Sequence Labeling Techniques for Relevance Prediction in Retrieval. In: 2020 International Conference on Systems, Signals and Image Processing (IWSSIP), 2020, Niterói. 2020 International Conference on Systems, Signals and Image Processing (IWSSIP), 2020. p. 305-310.
  4. SCHWARZ, STEPHANE ; THEOPHILO, ANTONIO ; ROCHA, ANDERSON . EMET: Embeddings from Multilingual-Encoder Transformer for Fake News Detection. In: ICASSP 2020 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Barcelona. ICASSP 2020 – 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020. p. 2777-2780.
  5. PADILHA, Rafael ; ANDALO, Fernanda A. ; ROCHA, ANDERSON . Improving the Chronological Sorting of Images through Occlusion: A Study on the Notre-Dame Cathedral Fire. In: ICASSP 2020 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Barcelona. ICASSP 2020 – 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020. p. 2972-2975.
  6. PEIXOTO, Bruno ; LAVI, Bahram ; BESTAGINI, Paolo ; DIAS, Zanoni ; ROCHA, ANDERSON . Multimodal Violence Detection in Videos. In: ICASSP 2020 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Barcelona. ICASSP 2020 – 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020. p. 2957-2960.
  7. OLIVEIRA, J. S. ; SOUZA, G. B. ; ROCHA, Anderson ; DEUS, F. E. ; MARANA, Aparecido Nilceu . Cross-Domain Deep Face Matching for Real Banking Security Systems. In: Intl. Conference on eDemocracy and eGovernment, 2020, Buenos Aires. Proc. of the Intl. Conference on eDemocracy and eGovernment, 2020. p. 1-8.
  8. MARTINEZ, Victor ; ROCHA, ANDERSON . Oil & Gas Production Forecasting based on LSTMs. In: EAGE Conference on Machine Learning in Americas (EAGE), 2020, Cartagena. Prof. of the EAGE Conference on Machine Learning in Americas (EAGE), 2020. p. 1-5.
  9. PRITSOS, Dimitrios ; ROCHA, ANDERSON ; STAMATATOS, Efstathios . Open-set Web Genre Identification Using Distributional Features and Nearest Neighbors Distance Ratio. In: European Conference on Information Retrieval (ECIR), 2019, Cologne, Germany. Proc. of the 2019 European Conference on Information Retrieval (ECIR), 2019.
  10. BHARATI, Aparna ; MOREIRA, D. H. ; BROGAN, Joel ; HALE, Patricia ; BOWYER, Kevin ; FLYNN, Patrick ; ROCHA, ANDERSON ; SCHEIRER, Walter J. . Beyond Pixels: Image Provenance Analysis Leveraging Metadata. In: IEEE Intl. Winter Conference on Applications of Computer Vision (WACV), 2019, Waikoloa Village. Proc. of the 2019 IEEE Intl. Winter Conference on Applications of Computer Vision (WACV), 2019.
  11. PINHEIRO, GIULIANO ; CIRNE, Marcos ; BESTAGINI, Paolo ; TUBARO, Stefano ; ROCHA, ANDERSON . Detection and synchronization of video sequences for event reconstruction. In: IEEE Intl. Conference on Image Processing (ICIP), 2019, Taipei. IEEE Intl. Conference on Image Processing (ICIP), 2019.
  12. CIRNE, Marcos ; ANDALO, Fernanda A. ; DIAS, Rafael ; RESEK, Thiago ; BERTOCCO, Gabriel ; TORRES, RICARDO DA S. ; ROCHA, ANDERSON . Deep Face Verification for Spherical Images. In: IEEE Intl. Conference on Image Processing (ICIP), 2019, Taipei. IEEE Intl. Conference on Image Processing (ICIP), 2019.
  13. MENDES JUNIOR, PEDRO ; BONDI, Luca ; BESTAGINI, Paolo ; ROCHA, ANDERSON ; TUBARO, Stefano . RNU-based method to expose video device compositions in open set. In: IEEE Intl. Conference on Image Processing (ICIP), 2019, Taipei. IEEE Intl. Conference on Image Processing (ICIP), 2019.
  14. LEYVA, Roberto ; SANTOS, Geise K. S. ; ROCHA, ANDERSON ; SANCHEZ, Victor ; LI, Chang-Tsun . Accelerometer Dense Trajectories for Activity Recognition and People Identification. In: IAPR/IEEE Intl. Workshop on Biometrics and Forensics (IWBF), 2019, Cancun. IAPR/IEEE Intl. Workshop on Biometrics and Forensics (IWBF), 2019.
  15. OLIVEIRA, Alberto ; ROCHA, ANDERSON . Score-Based Learning for Relevance Prediction in Image Similarity Search. In: IEEE Intl. Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Brighton. IEEE Intl. Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
  16. PEIXOTO, Bruno ; LAVI, Bahram ; MARTIN, João P. P. ; AVILA, SANDRA ; DIAS, Zanoni ; ROCHA, ANDERSON . Toward Subjective Violence Detection in videos. In: IEEE Intl. Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Brighton. IEEE Intl. Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
  17. THEOPHILO, ANTONIO ; PEREIRA, Luis Augusto M. ; ROCHA, ANDERSON . A needle in a haystack? Harness- ing onomatopoeia and user-specific stylometrics for authorship attribution of micro-messages.. In: IEEE Intl. Conference on Acoustics, Speech and Signal Processing (ICASSP),, 2019, Brighton. IEEE Intl. Conference on Acoustics, Speech and Signal Processing (ICASSP),, 2019.
  18. PEREZ, Mauricio L. ; KOT, Alex ; ROCHA, ANDERSON . Detection of Real-world Fights in Surveillance Videos.. In: IEEE Intl. Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Brighton. IEEE Intl. Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
  19. RODRIGUES, Caroline M. ; PEREIRA, Luis Augusto M. ; ROCHA, Anderson ; DIAS, ZANONI . Image Semantic Representation for Event Understanding. In: IEEE Intl. Workshop on Information Forensics and Security (WIFS), 2019, Delft. IEEE Intl. Workshop on Information Forensics and Security (WIFS), 2019. p. 1-6.
  20. POMARI, Thales ; RUPPERT, GUILHERME C.S. ; REZENDE, Edmar ; ROCHA, ANDERSON ; Tiago Carvalho . Image Splicing Detection Through Illumination Inconsistencies and Deep Learning. In: IEEE International Conference on Image Processing (ICIP), 2018, Athens. Proc. of the IEEE International Conference on Image Processing (ICIP), 2018. p. 1-5.
  21. PEIXOTO, Bruno ; AVILA, SANDRA ; DIAS, Zanoni ; ROCHA, ANDERSON . Breaking down violence: A deep-learning strategy to model and classify violence in videos. In: ARES Intl. Conference on Availability, Reliability, and Security — Intl. Workshop on Digital Forensics (WSDF), 2018, Hamburg. Proc. of the ARES Intl. Conference on Availability, Reliability, and Security — Intl. Workshop on Digital Forensics (WSDF), 2018. p. 1-7.
  22. MOREIRA, D. H. ; AVILA, SANDRA ; PEREZ, MAURICIO ; MORAES, Daniel ; TESTONI, Vanessa ; VALLE, Eduardo ; Siome Goldenstein ; ROCHA, ANDERSON . Temporal Robust Features for Violence Detection. In: IEEE Intl. Winter Conference on Applications of Computer Vision (WACV), 2017, Santa Rosa. IEEE Intl. Winter Conference on Applications of Computer Vision (WACV), 2017. p. 1-9.
  23. PINTO, ALLAN ; MOREIRA, D. H. ; BHARATI, Aparna ; BROGAN, Joel ; BOWYER, Kevin ; FLYNN, Patrick ; SCHEIRER, Walter J. ; ROCHA, ANDERSON . Provenance Filtering for Multimedia Phylogeny. In: IEEE Intl. Conference on Image Processing (ICIP), 2017, Beijing. Proc. of the IEEE Intl. Conference on Image Processing (ICIP), 2017. p. 1-5.
  24. BROGAN, Joel ; BESTAGINI, Paolo ; BHARATI, Aparna ; PINTO, Allan da Silva ; MOREIRA, Daniel ; BOWYER, Kevin ; FLYNN, Patrick ; ROCHA, ANDERSON ; SCHEIRER, Walter J. . Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization. In: IEEE Intl. Conference on Image Processing (ICIP), 2017, Beijing. Proc. of the IEEE Intl. Conference on Image Processing (ICIP), 2017. p. 1-5.
  25. BHARATI, Aparna ; MOREIRA, Daniel ; PINTO, Allan da Silva ; BROGAN, Joel ; BOWYER, Kevin ; FLYNN, Patrick ; SCHEIRER, Walter J. ; ROCHA, ANDERSON . U-Phylogeny: Undirected Provenance Graph Construction in the Wild. In: IEEE Intl. Conference on Image Processing (ICIP), 2017, Beijing. Proc. of the IEEE Intl. Conference on Image Processing (ICIP), 2017. v. 12. p. 1-5.
  26. BOULKENAFET, Z. KUMULAINEN, J. AKHTAR, Z. BENLAMOUDI, A. BEKHOUCHE, S. OUAFI, A. DORNAIKA, F. TALEB-AHMED, A. QIN, L. PENG, F. ZHANG, L. LONG, M. BHILARE, S. KANHANGAD, V. COSTA-PAZO, A. VAZQUEZ-FERNANDEZ, E. PEREZ-CABO, D. MOREIRA-PEREZ, J. J. GONZALEZ-JIMENEZ, D. MOHAMMADI, A. BHATTACHARJEE, S. MARCEL, S. VOLKOVA, S. TANG, Y. ABE, N. , et al.LI, L. FENG, X. XIA, Z. JIANG, X. LIU, S. SHAO, R. YUEN, P. C. ALMEIDA, Waldir Rodrigues de ANDALO, Fernanda A. PADILHA, Rafael BERTOCCO, Gabriel DIAS, William WAINER, J. TORRES, R. DA S. ROCHA, ANDERSON DE ASSIS ANGELONI, M. FOLEGO, GUILHERME GODOY, A. HADID, A. ; A Competition on Generalized Software-based Face Presentation Attack Detection in Mobile Scenarios. In: International Joint Conference on Biometrics (IJCB), 2017, Denver. Proc. of the International Joint Conference on Biometrics (IJCB), 2017. p. 1-8.
  27. MOREIRA, Daniel ; GOLDENSTEIN, Siome ; ROCHA, ANDERSON . Sensitive-Video Analysis. In: Congresso da Sociedade Brasileira de Computação (CTD/CSBC), 2017, São Paulo. Concurso de Teses e Dissertações (CTD/SBC), 2017. p. 1-6.
  28. FOLEGO, GUILHERME ; GOMES, OTAVIO ; ROCHA, ANDERSON . From impressionism to expressionism: Automatically identifying van Gogh’s paintings. In: 2016 IEEE International Conference on Image Processing (ICIP), 2016, Phoenix. 2016 IEEE International Conference on Image Processing (ICIP). p. 141.
  29. VITORINO, Paulo ; AVILA, Sandra Eliza Fontes ; ROCHA, ANDERSON . A Two-tier Image Representation Approach to Detecting Child Pornography. In: Workshop de Visão Computacional (WVC), 2016, Campo Grande. Workshop de Visão Computacional (WVC), 2016. p. 129-134.
  30. FOLEGO, GUILHERME ; ANGELONI, Marcus A. ; STUCHI, José ; GODOY, Alan ; ROCHA, ANDERSON . Cross-Domain Face Verification: Matching ID Document and Self-Portrait Photographs. In: Workshop de Visão Computacional (WVC), 2016, Campo Grande. Workshop de Visão Computacional (WVC), 2016. p. 311-316.
  31. COSTA, Filipe de Oliveira ; LAMERI, Silvia ; BESTAGINI, Paolo ; DIAS, Zanoni ; TUBARO, Stefano ; ROCHA, ANDERSON . Hash-Based Frame Selection for Video Phylogeny. In: IEEE Workshop on Information Forensics and Security (WIFS), 2016, Abu Dhabi. IEEE Workshop on Information Forensics and Security (WIFS), 2016.
  32. ROCHA, ANDERSON DE REZENDE; KOCH, FERNANDO LUIZ ; GOLDENSTEIN, Siome Klein ; BRITTO NETO, LAURINDO DE SOUSA ; BARANAUSKAS, MARIA CECÍLIA CALANI ; MAIKE, VANESSA REGINA MARGARETH LIMA . A Wearable Face Recognition System Built into a Smartwatch and the Visually Impaired User. In: 17th International Conference on Enterprise Information Systems, 2015, Barcelona. Proceedings of the 17th International Conference on Enterprise Information Systems. p. 5-13.
  33. SEIBEL, HILARIO ; GOLDENSTEIN, Siome ; ROCHA, ANDERSON . Fast and Effective Geometric K-Nearest Neighbors Multi-frame Super-Resolution. In: 2015 28th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2015, Salvador. 2015 28th SIBGRAPI Conference on Graphics, Patterns and Images. p. 103-110.
  34. COSTA, F. O. ; LAMERI, S. ; BESTAGINI, P. ; Dias, Z. ; ROCHA, A. ; TAGLIASACCHI, M. ; TUBARO, S. . Phylogeny reconstruction for misaligned and compressed video sequences. In: 2015 IEEE International Conference on Image Processing (ICIP), 2015, Quebec City. 2015 IEEE International Conference on Image Processing (ICIP). p. 301-304.
  35. MOREIRA, Daniel ; AVILA, Sandra Eliza Fontes ; PEREZ, Mauricio L. ; MORAES, Daniel ; TESTONI, Vanessa ; VALLE, Eduardo ; Goldenstein, Siome ; ROCHA, Anderson . RECOD at MediaEval 2015: Affective Impact of Movies Task. In: MediaEval 2014 Multimedia Benchmark Workshop, 2015, Wurzen. Working Notes Proceedings of the MediaEval 2014 Workshop, 2015. p. 1-2.
  36. OLIVEIRA, A. ; FERRARA, P. ; DE ROSA, A. ; PIVA, A. ; BARNI, M. ; Goldenstein, S. ; Dias, Z. ; ROCHA, A. . Multiple parenting identification in image phylogeny. In: 2014 IEEE International Conference on Image Processing (ICIP), 2014, Paris. 2014 IEEE International Conference on Image Processing (ICIP). p. 5347-5351.
  37. LAMERI, S. ; BESTAGINI, P. ; MELLON, A. ; MILANI, S. ; ROCHA, A. ; TAGLIASACCHI, M. ; TUBARO, S. . Who is my parent? Reconstructing video sequences from partially matching shots. In: 2014 IEEE International Conference on Image Processing (ICIP), 2014, Paris. 2014 IEEE International Conference on Image Processing (ICIP). p. 5342-5345.
  38. PIRES, Ramon ; AVILA, SANDRA ; JELINEK, Herbert F. ; Wainer, Jacques ; VALLE, Eduardo ; ROCHA, ANDERSON . Automatic Diabetic Retinopathy detection using BossaNova representation. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014, Chicago. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. p. 146-149.
  39. MELLONI, A. ; BESTAGINI, P. ; MILANI, S. ; TAGLIASACCHI, M. ; ROCHA, A. ; TUBARO, S. . Image phylogeny through dissimilarity metrics fusion. In: 2014 5th European Workshop on Visual Information Processing (EUVIP), 2014, Villetaneuse. 2014 5th European Workshop on Visual Information Processing (EUVIP). p. 1-6.
  40. CAVALCANTE, Thiago ; ROCHA, Anderson ; CARVALHO, Ariadne . Large-Scale Micro-Blog Authorship Attribution: Beyond Simple Feature Engineering. In: Iberoamerican Congress on Pattern Recognition (CIARP), 2014, Puerto Vallarta. Proceedings of the Iberoamerican Congress on Pattern Recognition (CIARP), 2014. v. 8827. p. 399-407.
  41. FERREIRA, A. C. B. ; ROCHA, Anderson . A Multiscale and Multi-Perturbation Blind Forensic Technique For Median Detecting. In: Iberoamerican Congress on Pattern Recognition (CIARP), 2014, Puerto Vallarta. Proceedings of the Iberoamerican Congress on Pattern Recognition (CIARP), 2014. v. 8827. p. 302-310.
  42. CHINGOVSKA, I. YANG, J. LEI, Z. YI, D. LI, S. Z. KAHM, O. GLASER, C. DARNER, N. KUIJPER, A. NOUAK, A. KOMULAINEN, J. PEREIRA, T. GUPTA, S. KHANDEL WA, S. BANSAL, S. RAI, A. KRISHNA, T. GOYAL, D. WARIS, M.-A. ZHANG, H. AHMAD, I. KIRANYAZ, S. GABBOUJ, M. TRONCI, R. PILI, M. , et al.SIRENA, N. ROLI, F. GALBALLY, J. FICRRCZ, J. PINTO, A. PEDRINI, H. SCHWARTZ, W. S. ROCHA, A. ANJOS, A. MARCEL, S. ; The 2nd competition on counter measures to 2D face spoofing attacks. In: 2013 International Conference on Biometrics (ICB), 2013, Madrid. 2013 International Conference on Biometrics (ICB). p. 1-6.
  43. GUNTHER, M. COSTA-PAZO, A. DING, C. BOUTELLAA, E. CHIACHIA, G. ZHANG, H. DE ASSIS ANGELONI, M. STRUC, V. KHOURY, E. VAZQUEZ-FERNANDEZ, E. TAO, D. BENGHERABI, M. COX, D. KIRANYAZ, S. DE FREITAS PEREIRA, T. ZGANEC-GROS, J. ARGONES-RUA, E. PINTO, N. GABBOUJ, M. SIMOES, F. DOBRISEK, S. GONZALEZ-JIMENEZ, D. ROCHA, A. NETO, M. ULIANI PAVESIC, N. , et al.FALCAO, A. VIOLATO, R. MARCEL, S. ; The 2013 face recognition evaluation in mobile environment. In: 2013 International Conference on Biometrics (ICB), 2013, Madrid. 2013 International Conference on Biometrics (ICB). p. 1-7.
  44. JELINEK, Herbert F. ; PIRES, Ramon ; PADILHA, Rafael ; Goldenstein, Siome ; Wainer, Jacques ; ROCHA, Anderson . Quality Control and Multi-lesion Detection in Automated Retinopathy Classification using a Visual Words Dictionary. In: Intl. Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2013, Osaka. Proceedings of the 35th Anual Intl. Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2013. p. 5857-5860.
  45. FARIA, Fabio A. ; DOS SANTOS, JEFERSSON A. ; SARKAR, Sudeep ; ROCHA, ANDERSON ; TORRES, RICARDO DA S. . Classifier Selection Based on the Correlation of Diversity Measures: When Fewer Is More. In: 2013 XXVI SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2013, Arequipa. 2013 XXVI Conference on Graphics, Patterns and Images. p. 16-23.
  46. FARIA, Fabio A. ; DOS SANTOS, JEFERSSON A. ; TORRES, RICARDO DA S. ; ROCHA, ANDERSON ; FALCAO, ALEXANDRE X. . Automatic fusion of region-based classifiers for coffee crop recognition. In: IGARSS 2012 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012, Munich. 2012 IEEE International Geoscience and Remote Sensing Symposium. p. 2221-2224.
  47. JELINEK, Herbert F. ; PIRES, Ramon ; PADILHA, Rafael ; GOLDENSTEIN, Siome Klein ; Jacques WAINER ; ROCHA, Anderson . Data fusion for multi-lesion diabetic retinopathy detection. In: IEEE International Symposium on Computer-based Medical System, 2012, Roma. Proc. of the IEEE Intl. Symposium on Computer-based Medical System, 2012.
  48. DOS SANTOS, Jefersson Alex ; FARIA, Fabio A. ; TORRES, Ricardo ; ROCHA, Anderson ; GOSSELIN Philippe Henri ; PHILIPP-FOLIGUET, Sylvie ; FALCÃO, Alexandre X . Descriptor Correlation Analysis for Remote Sensing Image Multi-Scale Classification. In: IAPR Intl. Conference on Pattern Recognition (ICPR), 2012, Tsukuba, Japão. Proceedings of the 21st IAPR Intl. Conference on Pattern Recognition (ICPR), 2012. p. 3078-3081.
  49. AFONSO, L. ; PAPA, J. ; PAPA, L. ; MARANA, A. ; ROCHA, ANDERSON . Automatic visual dictionary generation through Optimum-Path Forest clustering. In: 2012 19th IEEE International Conference on Image Processing (ICIP 2012), 2012, Orlando. 2012 19th IEEE International Conference on Image Processing. p. 1897-1900.
  50. PINTO, Allan da Silva ; PEDRINI, HELIO ; SCHWARTZ, WILLIAM ; ROCHA, ANDERSON . Video-Based Face Spoofing Detection through Visual Rhythm Analysis. In: 2012 XXV SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2012, Ouro Preto. 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images. p. 221-228.
  51. MORAIS, ERIKSON ; GOLDENSTEIN, Siome ; FERREIRA, ANSELMO ; ROCHA, ANDERSON . Automatic Tracking of Indoor Soccer Players Using Videos from Multiple Cameras. In: 2012 XXV SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2012, Ouro Preto. 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images. p. 174-181.
  52. COSTA, FILIPE DE O. ; ECKMANN, Michael ; SCHEIRER, Walter J. ; ROCHA, ANDERSON . Open Set Source Camera Attribution. In: 2012 XXV SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2012, Ouro Preto. 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images. p. 71-78.
  53. PIRES, Ramon ; JELINEK, Herbert F. ; Wainer, Jacques ; ROCHA, ANDERSON . Retinal Image Quality Analysis for Automatic Diabetic Retinopathy Detection. In: 2012 XXV SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2012, Ouro Preto. 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images. p. 229-236.
  54. CARVALHO, Tiago ; SILVA, Ewerton A. ; COSTA, Filipe de Oliveira ; FERREIRA, A. C. B. ; ROCHA, Anderson . Além do óbvio: a análise forense de imagens e a investigação do conteúdo implícito e explícito de fotografias digitais. In: Workshop de Forense Computacional – Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg 2012),, 2012, Curitiba. Anais do Workshop de Forense Computacional – Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg 2012),, 2012.
  55. FARIA, FABIO AUGUSTO ; SANTOS, JEFERSSON ALEX DOS ; ROCHA, ANDERSON ; TORRES, RICARDO DA S. . Automatic Classifier Fusion for Produce Recognition. In: 2012 XXV SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2012, Ouro Preto. 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images. p. 252-259.
  56. CHIACHIA, Giovani ; PINTO, Nicolas ; SCHWARTZ, WILLIAM ; ROCHA, ANDERSON ; FALCÃO, ALEXANDRE ; COX, David . Person-Specific Subspace Analysis for Unconstrained Familiar Face Identification. In: British Machine Vision Conference 2012, 2012, Surrey. Procedings of the British Machine Vision Conference 2012. p. 101.1.
  57. FABIAN, Junior ; PIRES, Ramon ; ROCHA, ANDERSON . Searching for People through Textual and Visual Attributes. In: 2012 XXV SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2012, Ouro Preto. 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images, 2012. p. 276.
  58. MORAIS, Erikson Freitas ; GOLDENSTEIN, Siome Klein ; ROCHA, Anderson . Automatic Localization of Indoor Soccer Players From Multiple Cameras. In: International Conference on Computer Vision Theory and Applications (VISAPP), 2012, Roma. Proc. of the Intl. Conference on Computer Vision Theory and Applications (VISAPP), 2012. p. 205-212.
  59. JELINEK, Herbert F. ; ROCHA, Anderson ; CARVALHO, Tiago ; GOLDENSTEIN, Siome Klein ; Jacques WAINER . Machine Learning and Pattern Classification in Identification of Indigenous Retinal Pathology. In: 33rd Annual Intl. Conference of the IEEE Engineering in Medicine and Biology Society, 2011, Boston. Proc. of the 33rd Annual Intl. Conference of the IEEE Engineering in Medicine and Biology Society, 2011. p. 5951-5954.
  60. SABOIA, Priscila ; Tiago Carvalho ; ROCHA, Anderson . Eye Specular Highlights Telltales for Digital Forensics: A Machine Learning Approach. In: IEEE Intl. Conference on Image Processing (ICIP), 2011, Bruxelas. Proc. of the 2011 IEEE Intl. Conference on Image Processing (ICIP), 2011. p. 1937-1940.
  61. PEIXOTO, Bruno ; MICHELASSI, Carolina ; ROCHA, ANDERSON . Face liveness detection under bad illumination conditions. In: 2011 18th IEEE International Conference on Image Processing (ICIP 2011), 2011, Brussels. 2011 18th IEEE International Conference on Image Processing. p. 3557-3560.
  62. PAPA, João. P. ; ROCHA, Anderson . Image Categorization Through Optimum-Path Forest and Visual Words. In: IEEE Intl. Conference on Image Processing (ICIP), 2011, Bruxelas. Proc. of the 2011 IEEE Intl. Conference on Image Processing (ICIP), 2011. p. 3525-3528.
  63. CHAKKA, Murali Mohan ; ANJOS, André ; MARCEL, Sébastien ; TRONCI, Roberto ; MUNTONI, Daniele ; FADDA, Gianluca ; PILI, Maurizio ; SIRENA, Nicola ; MURGIA, Gabriele ; RISTORI, Marco ; ROLI, Fabio ; YAN, Junjie ; YI, Dong ; LEI, Zhen ; ZHANG, Zhiwei ; LI, Stan Z. ; SCHWARTZ, William Robson ; ROCHA, Anderson ; PEDRINI, Hélio ; LORENZO-NAVARRO, Javier ; CASTRILLON-SANTANA, Modesto ; MAATTA, Jukka ; HADID, Abdenour ; PIETIKAINEN, Matti . Competition on Counter Measures to 2-D Facial Spoofing Attacks. In: IEEE/IAPR Intl. Joint Conference on Biometrics (IJCB), 2011, Washington, DC. Proc. of the 2011 IEEE/IAPR Intl. Joint Conference on Biometrics (IJCB 11), 2011. p. 1-6.
  64. CHIACHIA, Giovani ; FALCÃO, Alexandre X. ; ROCHA, Anderson . Person-Specific Face Representation for Recognition. In: IEEE/IAPR Intl. Joint Conference on Biometrics (IJCB), 2011, Washington, DC. Proc. of the 2011 IEEE/IAPR Intl. Joint Conference on Biometrics (IJCB 11), 2011. p. 1-8.
  65. SCHWARTZ, William Robson ; ROCHA, Anderson ; PEDRINI, Hélio . Face Spoofing Detection through Partial Least Squares and Low-Level Descriptors. In: IEEE/IAPR Intl. Joint Conference on Biometrics (IJCB), 2011, Washington, DC. Proc. of the 2011 IEEE/IAPR Intl. Joint Conference on Biometrics (IJCB 11), 2011. p. 1-8.
  66. CARVALHO, Tiago ; ROCHA, Anderson ; Jacques WAINER ; GOLDENSTEIN, Siome Klein . Computer Vision and Machine Learning techniques for hard exudates detection eye-fundus images. In: Sibgrapi Workshop of Theses and Dissertations (WTD-SIBGRAPI), 2011, Maceió. Proc. of the 23rd Conference on Graphics, Patterns and Images (SIBGRAPI) — Workshop of Thesis and Dissertations, 2011. p. 1-6.
  67. FARIA, Fabio A. ; CALUMBY, Rodrigo T. ; VELOSO, Adriano Alonso ; ROCHA, Anderson ; TORRES, Ricardo . Uso de Técnicas de Aprendizagem para Classificação e Recuperação de Imagens. In: Sibgrapi Workshop of Theses and Dissertations (WTD-SIBGRAPI), 2011, Maceió. Proc. of the 23rd Conference on Graphics, Patterns and Images (SIBGRAPI) — Workshop of Thesis and Dissertations, 2011. p. 1-6.
  68. DIAS, Zanoni ; ROCHA, Anderson ; GOLDENSTEIN, Siome Klein . Video Phylogeny: Recovering Near-Duplicate Video Relationships. In: IEEE Intl. Workshop on Information Forensics and Security (WIFS), 2011, Foz do Iguaçu. Proc. of the IEEE Intl. Workshop on Information Forensics and Security (WIFS), 2011. p. 1-6.
  69. QUILES, Marcos Gonçalves ; ZHAO, Liang ; BREVE, Fabrício ; ROCHA, Anderson . Label Propagation Through Neuronal Synchrony. In: IEEE International Joint Conference on Neural Networks (IJCNN), 2010, Barcelona. Proc. of the 2010 IEEE Intl. Joint Conference on Neural Networks (IJCNN), 2010. p. 2517-2524.
  70. SCHEIRER, Walter J. ; ROCHA, Anderson ; MICHAELS, Ross ; BOULT, Terrance E. . Robust Fusion: Extreme Value Theory for Recognition Score Normalization. In: European Conference on Computer Vision (ECCV), 2010, Heraklion, Greece. Proc. of the 11th European Conference on Computer Vision, 2010. p. 481-495.
  71. ROCHA, Anderson; GOLDENSTEIN, Siome Klein . Classifiers and Machine Learning Techniques for Image Processing and Computer Vision. In: Sibgrapi Workshop of Theses and Dissertations (WTD-SIBGRAPI), 2010, Gramado. Proc. of the 23rd Conference on Graphics, Patterns and Images (SIBGRAPI) — Workshop of Thesis and Dissertations, 2010. p. 1-6.
  72. ROCHA, Anderson; PAPA, João. P. ; MEIRA, Luis A. A. . How Far You Can Get Using Machine Learning Black-Boxes. In: 23rd Conference on Graphics, Patterns and Images (SIBGRAPI), 2010, Gramado. Proc. of the 23rd Conference on Graphics, Patterns and Images (Sibgrapi), 2010. p. 193-200.
  73. DIAS, Zanoni ; ROCHA, Anderson ; GOLDENSTEIN, Siome Klein . First Steps Toward Image Phylogeny. In: IEEE International Workshop on Information Forensics and Security (WIFS), 2010, Seattle. Proc. of the Intl. Workshop on Information Forensics and Security (WIFS), 2010. p. 1-6.
  74. ROCHA, Anderson; GOLDENSTEIN, Siome Klein . Multi-class from Binary – Divide to Conquer. In: International Conference on Computer Vision Theory and Applications (VISAPP), 2009, Lisbon. Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP), 2009. p. 323-330.
  75. SCHEIRER, Walter J. ; ROCHA, Anderson ; HEFLIN, Brian ; BOULT, Terrance E. . Difficult Detection: A Comparison of Two Different Approaches to Eye Detection for Unconstrained Environments. In: IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems, 2009, Washington, DC. Proceedings of the 2009 IEEE 3rd Intl. Conference on Biometrics: Theory, Applications, and Systems. New York: IEEE, 2009. p. 176-183.
  76. GOLDENSTEIN, Siome Klein ; ROCHA, Anderson . High-profile forensic analysis of images. In: International Conference on Imaging for Crime Detection and Prevention (ICDP), 2009, London. Proceedings of the 3rd ICDP, 2009, 2009. p. 18-23.
  77. ALMEIDA, Jurandy ; ROCHA, Anderson ; TORRES, Ricardo ; GOLDENSTEIN, Siome Klein . Making colors worth more than a thousand words. In: 23rd Annual ACM Symposium on Applied Computing, 2008, Fortaleza. 23rd International ACM Symposium on Applied Computing, 2008. p. 1179-1185.
  78. ROCHA, Anderson; GOLDENSTEIN, Siome Klein ; Walter Scheirer ; Terrance E. Boult . The Unseen Challenge data sets. In: IEEE CVPR Workshop on Vision of the Unseen, 2008, Anchorage. IEEE CVPR Workshop on Vision of the Unseen, 2008. p. 1-8.
  79. ROCHA, Anderson; Daniel C. HAUAGGE ; Jacques WAINER ; GOLDENSTEIN, Siome Klein . Automatic produce classification from images using color, texture and appearance cues. In: 21st Conference on Graphics, Patterns and Images (SIBGRAPI), 2008, Campo Grande. Proc. of the 21st Conference on Graphics, Patterns and Images (SIBGRAPI), 2008. p. 3-10.
  80. ROCHA, Anderson; ALMEIDA, Jurandy ; TORRES, Ricardo ; GOLDENSTEIN, Siome Klein . Efficient and Flexible Cluster-and-Search for CBIR. In: International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS), 2008, Juan-les-Pins. International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS), 2008. p. 77-88.
  81. ROCHA, Anderson; GOLDENSTEIN, Siome Klein . PR: More than Meets the Eye. In: Eleventh IEEE International Conference on Computer Vision, 2007, Rio de Janeiro. Proceedings of the Eleventh IEEE International Conference on Computer Vision, 2007. p. 1-8.
  82. ROCHA, Anderson; Siome Goldenstein . Progressive Randomization for Steganalysis. In: IEEE 8th International Workshop on Multimedia Signal Processing, 2006, Victoria, BC. Proceedings of the 2006 IEEE 8th Workshop on Multimedia Signal Processing. Seattle, USA: OmniPress, 2006. v. 1. p. 314-319.
  83. FALCÃO, Alexandre X ; MIRANDA, Paulo André Vechiatto ; ROCHA, Anderson . A Linear-Time Approach for Image Segmentation Using Graph-Cut Measures. In: Advanced Concepts for Intelligent Vision Systems, 2006, Antwerp, Belgium. Proceedings of the Advanced Concepts for Intelligent Vision Systems, LNCS. Berlin: Springer Berlin / Heidelberg, 2006. v. 4179. p. 138-149.
  84. FALCÃO, Alexandre X. ; MIRANDA, Paulo André Vechiatto ; ROCHA, Anderson ; BERGO, Felipe P. G. . Object detection by k-connected seed competition. In: 18th Conference on Graphics, Patterns and Images (SIBGRAPI), 2005, Natal, RN. Proc. of the 18th Conference on Graphics, Patterns and Images (SIBGRAPI), 2005. p. 97-104.
  85. ROCHA, Anderson; GOLDENSTEIN, Siome Klein ; COSTA, Heitor Augustus Xavier ; CHAVES, Lucas Monteiro . Camaleão: um software de esteganografia para proteção e privacidade digital. In: Simpósio Segurança em Informática (SSI), 2004, São José dos Campos. Anais do 6º Simpósio de Segurança em Informática, 2004. p. 1-9.


Eduardo Valle

  1. Vinicius Ribeiro ; Sandra de Avila ; Eduardo Valle . Less Is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, 2020, Virtual Event. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, 2020. p. 738.
  2. BISSOTO, ALCEU ; Eduardo Valle ; Sandra de Avila . Debiasing Skin Lesion Datasets and Models? Not So Fast. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, 2020, Virtual Event. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, 2020. p. 740.
  3. Arthur Douillard ; Matthieu Cord ; Charles Ollion ; Thomas Robert ; Eduardo Valle . PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning. In: 16th European Conference on Computer Vision, ECCV 2020, 2020, Glasgow. Proceedings of the 16th European Conference on Computer Vision, ECCV 2020, 2020.
  4. PEREZ, FABIO ; AVILA, SANDRA ; Eduardo Valle . Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, Long Beach, CA. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019.
  5. BISSOTO, ALCEU ; FORNACIALI, MICHEL ; Eduardo Valle ; AVILA, SANDRA . (De)Constructing Bias on Skin Lesion Datasets. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, Long Beach, CA. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019.
  6. MOREIRA, DANIEL ; AVILA, SANDRA ; PEREZ, MAURICIO ; MORAES, DANIEL ; TESTONI, VANESSA ; VALLE, EDUARDO ; GOLDENSTEIN, SIOME ; ROCHA, ANDERSON . Temporal Robust Features for Violence Detection. In: 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 2017, Santa Rosa. 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 2017. p. 391.
  7. MENEGOLA, AFONSO ; FORNACIALI, MICHEL ; PIRES, RAMON ; BITTENCOURT, FLAVIA VASQUES ; AVILA, SANDRA ; VALLE, EDUARDO . Knowledge transfer for melanoma screening with deep learning. In: 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017, Melbourne. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017. p. 297.
  8. CARVALHO, MICAEL ; CORD, MATTHIEU ; AVILA, SANDRA ; THOME, NICOLAS ; VALLE, EDUARDO . Deep neural networks under stress. In: 2016 IEEE International Conference on Image Processing (ICIP), 2016, Phoenix. 2016 IEEE International Conference on Image Processing (ICIP). p. 4443-4447.
  9. TABACOF, PEDRO ; VALLE, EDUARDO . Exploring the space of adversarial images. In: 2016 International Joint Conference on Neural Networks (IJCNN), 2016, Vancouver. 2016 International Joint Conference on Neural Networks (IJCNN), 2016. p. 426-433.
  10. Ramon de Oliveira ; TABACOF, PEDRO ; Eduardo Valle . Known unknowns: Uncertainty quality in bayesian neural networks. In: NIPS 2016 Workshop ? Bayesian Deep Learning, 2016, Barcelona, Spain. NIPS 2016 Workshop ? Bayesian Deep Learning, 2016.
  11. TABACOF, PEDRO ; Julia Tavares ; Eduardo Valle . Adversarial images for variational autoencoders. In: NIPS 2016 Workshop ? Adversarial Training, 2016, Barcelona, Spain. NIPS 2016 Workshop ? Adversarial Training, 2016.
  12. TOTTI, LUAM CATAO ; COSTA, FELIPE ALMEIDA ; AVILA, SANDRA ; VALLE, EDUARDO ; MEIRA, WAGNER ; ALMEIDA, VIRGILIO . The impact of visual attributes on online image diffusion. In: the 2014 ACM conference, 2014, Bloomington. Proceedings of the 2014 ACM conference on Web science – WebSci ’14. p. 42-51.
  13. FORNACIALI, MICHEL ; AVILA, SANDRA ; CARVALHO, MICAEL ; VALLE, EDUARDO . Statistical Learning Approach for Robust Melanoma Screening. In: 2014 27th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2014, Brazil. 2014 27th SIBGRAPI Conference on Graphics, Patterns and Images. p. 319.
  14. Eliezer Silva ; Thiago Teixeira ; George Teodoro ; VALLE, EDUARDO . Large-Scale Distributed Locality-Sensitive Hashing for General Metric Data. In: 7th International Conference on Similarity Search and Applications (SISAP 2014), 2014, Los Cabos, México. Proceedings of the 7th International Conference on Similarity Search and Applications, 2014.
  15. PIRES, RAMON ; AVILA, SANDRA ; JELINEK, HERBERT F. ; WAINER, JACQUES ; VALLE, EDUARDO ; ROCHA, ANDERSON . Automatic Diabetic Retinopathy detection using BossaNova representation. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014, Chicago. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014. p. 146.
  16. Eliezer Silva ; Eduardo Valle . K-medoids LSH: a new locality sensitive hashing in general metric space. In: Simpósio Brasileiro de Banco de Dados (SBBD), 2013, Recife. Proceedings of the 28th Brazilian Symposium on Databases ? Short Papers, 2013. p. 127-132.
  17. Lucas Bueno ; Ricardo Torres ; Eduardo Valle . Bayesian approach for near-duplicate image detection. In: ACM International Conference on Multimedia Retrieval (ICMR’12), 2012, Hong Kong, PRC. Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR’12), 2012.
  18. Antonio da Luz Jr. ; Eduardo Valle ; Arnaldo Araújo . A Context-Aware Description for Content Filtering on Video Sharing Social Networks. In: IEEE International Conference on Multimedia & Expo (ICME’12), 2012, Melbourne, Australia. Proceedings of the IEEE International Conference on Multimedia & Expo (ICME’12), 2012.
  19. Sandra de Avila ; Nicolas Thome ; Matthieu Cord ; Eduardo Valle ; Arnaldo Araújo . BossaNova at ImageCLEF 2012 Flickr Photo Annotation Task. In: Conference and Labs of the Evaluation Forum (CLEF), 2012, Rome, Italy. Working Notes of the Conference and Labs of the Evaluation Forum (CLEF), 2012.
  20. Eduardo Valle; Sandra de Avila ; Fillipe de Souza ; Marcelo Coelho ; Arnaldo Araújo . Content-based filtering for video sharing social networks. In: SBSEG 2012 ? XII Simpósio em Segurança da Informação e de Sistemas Computacionais : WFC ? Workshop de Forense Computacional, 2012, Curitiba, PR, Brasil. Anais do SBSeg 2012 ? XII Simpósio em Segurança da Informação e de Sistemas Computacionais, 2012. p. 352-359.
  21. Sandra de Avila ; Nicolas Thome ; Matthieu Cord ; Eduardo Valle ; Arnaldo Araújo . BOSSA: Extended BoW Formalism for Image Classification. In: IEEE International Conference on Image Processing (ICIP), 2011, Brussels, Belgium. Proceedings of the 18th IEEE International Conference on Image Processing (ICIP 2011), 2011. p. 2909.
  22. Otávio Penatti ; Eduardo Valle ; Ricardo Torres . Encoding spatial arrangement of visual words. In: 16th Iberoamerican Congress on Pattern Recognition (CIARP 2011), 2011, Pucón, Chile. Proceedings of the 16th Iberoamerican Congress on Pattern Recognition (CIARP 2011), 2011.
  23. Fillipe de Souza ; Eduardo Valle ; Guillermo Chávez ; Arnaldo Araújo . Color-Aware Local Spatiotemporal Features for Action Recognition. In: 16th Iberoamerican Congress on Pattern Recognition (CIARP 2011), 2011, Pucón, Chile. Proceedings of the 16th Iberoamerican Congress on Pattern Recognition (CIARP 2011), 2011. p. 248.
  24. George Teodoro ; Eduardo Valle ; Nathan Mariano ; Ricardo Torres ; Wagner Meira Jr. . Adaptive Parallel Approximate Similarity Search for Responsive Multimedia Retrieval. In: 20th ACM Conference on Information and Knowledge Management (CIKM2011), 2011, Glasgow, Scotland, UK. Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM2011), 2011.
  25. COELHO, MARCELO ; VALLE, EDUARDO ; SANTOS JUNIOR, C´SSIO ; ARAUJO, ARNALDO . Subspace Clustering for Information Retrieval in Urban Scene Databases. In: 2011 24th SIBGRAPI Conference on Graphics, Patterns and Images (Sibgrapi), 2011, Alagoas. 2011 24th SIBGRAPI Conference on Graphics, Patterns and Images. p. 173.
  26. LOPES, ANA PAULA ; SANTOS, ELERSON ; VALLE, EDUARDO ; ALMEIDA, JUSSARA ; ARAUJO, ARNALDO . Transfer Learning for Human Action Recognition. In: 2011 24th SIBGRAPI Conference on Graphics, Patterns and Images (Sibgrapi), 2011, Alagoas. 2011 24th SIBGRAPI Conference on Graphics, Patterns and Images. p. 352.
  27. Antonio da Luz Jr. ; Eduardo Valle ; Arnaldo Araújo . Semantic Concepts for Content Filtering on Video Sharing Social Networks. In: 10th IADIS International Conference on WWW/Internet, 2011, Rio de Janeiro, RJ, Brazil. Proceedings of the 10th IADIS International Conference on WWW/Internet, 2011.
  28. Fernando Akune ; Eduardo Valle ; Ricardo Torres . MONORAIL: A Disk-Friendly Index for Huge Descriptor Databases. In: 20th International Conference on Pattern Recognition (ICPR 2010), 2010, Istambul, Turkey. in Proceedings of the 20th International Conference on Pattern Recognition (ICPR 2010), 2010. p. 4145-4148.
  29. Fábio Faria ; Adriano Veloso ; Humberto de Almeida ; Eduardo Valle ; Marcos Gonçalves ; Wagner Meira Jr. . Learn to Rank for Content-Based Image Retrieval. In: Proceedings of the 11th ACM International Conference on Multimedia Information Retrieval (MIR 2010), 2010, Philadelphia, PA, USA. Proceedings of the 11th ACM International Conference on Multimedia Information Retrieval (MIR 2010), 2010. p. 285-294.
  30. Fillipe de Souza ; Guillermo Chávez ; Eduardo Valle ; Arnaldo Araújo . Violence Detection in Video Using Spatio-Temporal Features. In: 23rd Brazilian Symposium of Computer Graphics and Image Processing (SIBGRAPI 2010), 2010, Gramado, RS, Brazil. Proceedings of the 23rd Brazilian Symposium of Computer Graphics and Image Processing (SIBGRAPI 2010), 2010. p. 224-230.
  31. Elerson Santos ; Ana Lopes ; Eduardo Valle ; Arnaldo Araújo . Vocabulários Visuais para Recuperação de Informação Multimídia. In: 16º Simpósio Brasileiro em Sistemas Multimídia e Web (WebMedia 2010), 2010, Belo Horizonte, MG, Brazil. Anais do 16º Simpósio Brasileiro em Sistemas Multimídia e Web (WebMedia 2010), 2010. v. 2. p. 21-24.
  32. Flávio Bertholdo ; Eduardo Valle ; Arnaldo Araújo . Layout-Aware Limiarization for Readability Enhancement of Degraded Historical Documents. In: ACM Symposium on Document Engineering (DOCENG 2009), 2009, Munich, Germany. Proceedings of the 9th ACM Symposium on Document Engineering (DOCENG 2009), 2009. p. 1-4.
  33. Eduardo Valle; David Picard ; Matthieu Cord . Geometric Consistency Checking for Local-Descriptor Based Document Retrieval. In: ACM Symposium on Document Engineering (DOCENG 2009), 2009, Munich, Germany. Proceedings of the 9th ACM Symposium on Document Engineering (DOCENG 2009), 2009. p. 1-4.
  34. David Picard ; Eduardo Valle ; Matthieu Cord . Study of Sift Descriptors for Image Matching Based Localization in Urban Street View Context. In: City Models, Roads and Traffic ISPRS Workshop (CMRT09), 2009, Paris, France. City Models, Roads and Traffic ISPRS Workshop (CMRT09), 2009. p. 1-6.
  35. Eduardo Valle; Matthieu Cord . Advanced Techniques in CBIR: Local Descriptors, Visual Dictionaries and Bags of Features. In: 22nd Brazilian Symposium of Computer Graphics and Image Processing (SIBGRAPI 2009), 2009, Rio de Janeiro, RJ, Brazil. Proceedings of the 22nd Brazilian Symposium of Computer Graphics and Image Processing (SIBGRAPI 2009) — Tutorials, 2009. p. 72-78.
  36. Eduardo Valle; Matthieu Cord ; Sylvie Philipp-Foliguet . High-Dimensional Descriptor Indexing for Large Multimedia Databases. In: ACM Conference on Information and Knowledge Management, 2008, San Francisco, CA – USA. Proceedings of the ACM Conference on Information and Knowledge Management, 2008. p. 739-748.
  37. Eduardo Valle; Matthieu Cord ; Sylvie Philipp-Foliguet . Fast Identification of Visual Documents Using Local Descriptors. In: ACM Symposium on Document Engineering DOCENG 2008, 2008, São Paulo. Proceedings of the 8th ACM Symposium on Document Engineering DOCENG 2008, 2008. p. 173-176.
  38. Eduardo Valle; Matthieu Cord ; Sylvie Philipp-Foliguet . Content-based Image Identification on Cultural Databases. In: International Cultural Heritage Informatics Meeting ICHIM 2007, 2007, Toronto. Proceedings of the International Cultural Heritage Informatics Meeting ICHIM 2007. Toronto, ON, Canada: Archives & Museums Informatics, 2007. p. 1-5.
  39. Eduardo Valle; Matthieu Cord ; Sylvie Philipp-Foliguet . Matching Local Descriptors for Image Identification on Cultural Databases. In: 9th International Conference on Document Analysis and Recognition ICDAR 2007, 2007, Curitiba, PR. Proceedings of the 9th International Conference on Document Analysis and Recognition ICDAR 2007, 2007. v. II. p. 679-683.
  40. Eduardo Valle; Matthieu Cord ; Sylvie Philipp-Foliguet . 3-way Trees: A Similarity Search Method for High-Dimensional Descriptor Matching. In: 14th IEEE International Conference on Image Processing ICIP 2007, 2007, San Antonio, TX, EUA. Proceedings of the 14th IEEE International Conference on Image Processing ICIP 2007, 2007. p. 173-176.
  41. Eduardo Valle; Sylvie Philipp-Foliguet ; Matthieu Cord . Image Identification using Local Descriptors. In: ImagEVAL 2006 Workshop (with CIVR 2007), 2007, Amsterdã, Holanda. ImagEVAL 2006 Workshop, 2007. p. 1-5.
  42. Eduardo Valle; Matthieu Cord ; Sylvie Philipp-Foliguet . Content-based Retrieval of Images for Cultural Institutions using Local Descriptors. In: Geometric Modelling and Imaging New Trends GMAI 2006, 2006, Londres, Reino-Unido. Geometric Modelling and Imaging New Trends GMAI 2006, 2006. p. 177-182.
  43. Carlos Lopes ; Fernanda Vieira ; Eliane Amorim ; Eduardo Valle . Digitalizando para Durar: a Experiência do Arquivo Público Mineiro. In: I Congresso Nacional de Arquivologia – ABARQ, 2004, Brasília, DF. Anais do I Congresso Nacional de Arquivologia – ABARQ. Brasília, DF: Associação Brasiliense de Arquivologia, 2004. p. 1-11.
  44. Fernanda Vieira ; Eduardo Valle ; Nelson de Andrade ; Eliane Amorim ; Arnaldo Araújo . Inclusão Digital de Acervos Históricos Através de Sistemas de Informação Multimídia. In: IV Workshop de Tratamento de Imagens (WTI 2003), 2003, Belo Horizonte, MG, Brasil. Anais do IV Workshop de Tratamento de Imagens (WTI 2003), 2003. p. 47-53.
  45. Clarissa Lima ; Arnaldo Araújo ; Claudina Moresi ; Eduardo Valle . Formação de um de Sistema de Informação Multimídia para a Pesquisa Guignard. In: IV Workshop de Tratamento de Imagens (WTI 2003), 2003, Belo Horizonte, MG, Brasil. Anais do IV Workshop de Tratamento de Imagens (WTI 2003), 2003. p. 71-76.
  46. Claudina Moresi ; Anamaria Neves ; Bethânia Veloso ; Arnaldo Araújo ; Eduardo Valle ; Silvana Trindade ; Letícia Julião ; Inês Teixeira ; Francisco Vinhosa ; Renato Hadad . Estudo e Digitalização da Obra de Guignard, Pintor Modernista. In: III Workshop em Tratamento de Imagens, 2002, Belo Horizonte – MG. Anais do III Workshop em Tratamento de Imagens. Belo Horizonte – MG: NPDI / DCC / Universidade Federal de Minas Gerais, 2002. p. 46-51.
  47. Eduardo Valle; Arnaldo Araújo . Preserving Historical Collections Using Multimedia Information Systems. In: Thesis and Dissertations Workshop – VIII Simpósio Brasileiro de Sistemas Multimídia e Hipermídia – SBMídia, 2002, Fortaleza, CE. Anais do 8º Simpósio Brasileiro em Sistemas Multimídia e Hipermídia. Fortaleza, CE: Universidade Federal do Ceará / Sociedade Brasileira de Computação, 2002. v. 8. p. 317-324.
  48. Eduardo Valle; Arnaldo Araújo ; Fernanda Vieira ; Carla da Costa . A Tool for Workflow Management in the Composition of Multimedia Databases from Preexistent Documents. In: Tools and Applications Workshop – VIII Simpósio Brasileiro de Sistemas Multimídia e Hipermídia – SBMídia, 2002, Fortaleza, CE. Anais do 8º Simpósio Brasileiro em Sistemas Multimídia e Hipermídia. Fortaleza, CE: Universidade Federal do Ceará / Sociedade Brasileira de Computação, 2002. v. 8. p. 379-382.


Jacques Wainer

  1. HADJIISKI, LUBOMIR M. ; TOURASSI, GEORGIA D. ; FONSECA, PABLO ; MENDOZA, JULIO ; Wainer, Jacques ; FERRER, JOSE ; PINTO, JOSEPH ; GUERRERO, JORGE ; CASTANEDA, BENJAMIN . Automatic breast density classification using a convolutional neural network architecture search procedure. In: SPIE Medical Imaging, 2015, Orlando. p. 941428.
  2. PIRES, Ramon ; AVILA, SANDRA ; JELINEK, Herbert F. ; Wainer, Jacques ; VALLE, Eduardo ; Rocha, Anderson . Automatic Diabetic Retinopathy detection using BossaNova representation. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014, Chicago. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014. p. 146.
  3. Jelinek, Herbert F. ; Rocha, Anderson ; Carvalho, Tiago ; Goldenstein, Siome ; WAINER, J. . Data fusion for multi-lesion diabetic retinopathy detection. In: IEEE International Symposium on Computer-based Medical System,, 2012, Roma. Proc of the IEEE International Symposium on Computer-based Medical System,, 2012.
  4. Herbert Jelinek ; Anderson Rocha ; Tiago Carvalho ; Goldenstein, Siome ; WAINER, J. . Machine Learning and Pattern Classification in Identification of Indigenous Retinal Pathology. In: 33rd Annual Intl. Conference of the IEEE Engineering in Medicine and Biology Society,, 2011, Boston. 33rd Annual Intl. Conference of the IEEE Engineering in Medicine and Biology Society,, 2011.
  5. Paulo Gurgel ; WAINER, J . Planning for Multi-robot Localization. In: Simposio Brasileiro de IA, 2010, Sao Bernardo do Campo. Lecture Notes in Computer Science, 2010. v. 6404. p. 183-192.
  6. BEZERRA, Fabio ; Aalst, W. ; WAINER, J. . Anomaly Detection Using Process Mining. In: 10th International Workshop, BPMDS 2009, 2009, Amsterdan. Lecture Notes in Business Information Processing, 2009. v. 29. p. 149-161.
  7. WAINER, J.; BILLA, Cleo Zanella ; Marcio Paixao ; SIGULEM, Daniel . ST guide: a framework for the implementation of automatic clinical guidelines. In: 23th ACM Symposium on applied computing (SAC), 2008, Fortaleza. Proceedings of the 23th ACM SAC, 2008. v. 2. p. 1325-1332.
  8. DIGIAMPIETRI, L. A. ; ROMAN, N. T. ; Luis A. A. Meira ; WAINER, J. ; Goldenstein, S. . Uses of Artificial Intelligence in the Brazilian Customs Fraud Detection System. In: The 9th Annual International Conference on Digital Government Research, 2008, Montreal. Proceedings, 2008.
  9. WAINER, J. . Anomaly Detection Algorithms in Business Process Logs. In: International Conference on Enterprise Information Systems, 2008, Barcelona. 10th International Conference on Enterprise Information Systems, 2008.
  10. SAK, T. ; WAINER, J. ; Goldenstein, S. . Probabilisitc multiagent patrolling. In: Simposio Brasileiro de Inteligencia Artificial, 2008, Salvador. Lecture Notes in Computer Science, 2008. v. 5249. p. 124-133.
  11. Anderson Rocha ; Daniel C. Hauagge ; Wainer, Jacques ; Goldenstein, S. ; Wainer, Jacques . Automatic Produce Classification from Images Using Color, Texture and Appearance Cues. In: Proceedings of the 2008 XXI Brazilian Symposium on Computer Graphics and Image Processing, 2008. Proceedings of the 2008 XXI Brazilian Symposium on Computer Graphics and Image Processing. Washigton: IEEE Computer Society, 2008. p. 3-10.
  12. JAMBEIRO, Jorge ; WAINER, J. . Using a Hierarchical Bayesian Model to Handle High Cardinality Attributes with Relevant Interactions in a Classification Problem. In: International Joint Conference on AI (IJCAI 07), 2007. Proceedings of the IJCAI 2007, 2007. v. 1. p. 2504-2509.
  13. MASSRUHÁ, Silvia ; WAINER, J. . An objected oriented framework fo virtual diagnosis.. In: 6th Biennial Conference of the European Federation of IT in Agriculture, 2007, Glasgow. 6th Biennial Conference of the European Federation of IT in Agriculture, 2007.
  14. WAINER, J. . Towards Detecting Fraudulent Executions in Business Process Aware Systems. In: Workshop on Workflows and Process Management,, 2007, imisoara, Romênia. WfPM 2007 – Workshop on Workflows and Process Management,, 2007.
  15. BEZERRA, Fabio ; WAINER, J. . Um Método de Detecção de Anomalias em Logs de Processos de Negócios. In: Workshop on Business Process Management, 2007, Gramado. Workshop on Business Process Management, 2007.
  16. Negrello, F. ; WAINER, J. . Revogação com downgrade. In: VI Simpósio Brasileiro em Segurança da Informação e de Sistemas Computacionais (SBSeg), 2006, Santos. Anais do VI SBSeq.
  17. BEZERRA, Fabio ; WAINER, J. . Selecting Anomalous Traces from Workflow Event Logs. In: Simposio Brasileiro de Sistemas Colaborativos, 2006, Natal. Anais do SBSC.
  18. ELLIS, Clarence ; Rembert A. ; KIM, Kwanghoon ; WAINER, J. . Beyond Workflow Mining. In: Business Process Management, 4th International Conference, BPM 2006, 2006, Vienna. Proceedings BPM 2006, 2006. v. 4102. p. 49-64.
  19. Lanna, A. ; Goldenstein, S. ; WAINER, J. . Carancho – A Decision Support System for Customs. In: ECML PKDD 2006 Workshop on Practical Data Mining: Applications, Experiences and Challenges, 2006, Berlin. ECML PKDD 2006 Workshop on Practical Data Mining: Applications, Experiences and Challenges, 2006.
  20. WAINER, J. . Analyzing Bayesian Networks with Local Structure and Cardinality Reduction over a Practical Case. In: I Workshop on Computational Intelligence (WCI), 2006, Ribeirao Preto. Anais do I Workshop on Computational Intelligence (WCI), 2006.
  21. BRANDAO, Bruno Ceraz ; Goldenstein, S. ; WAINER, J. . Subspace Hierarchical Particle Filter. In: Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2006), 2006, manaus. Proceedings of the SIBGRAPI, 2006.
  22. WAINER, J.; KUMAR, Akhil . A fine grained, controllable user-to-tuser delegation method in RBAC. In: 10th ACM Symposium on Access Control Models and Techologies, 2005, Estocolmo. Proceedings of the 10th ACM Symposium on Access Control Models and Technologies. New York: ACM Press, 2005. v. 1. p. 59-66.
  23. WAINER, J.; KIM, Kwanghoon ; ELLIS, Clarence . A workflow mining method through model rewriting. In: International Workshop in Groupware (CRIWG), 2005, Porto de galinhas. Groupware: design implementation and use. Heidelberg: Springer, 2005. v. 3706. p. 184-191.
  24. WAINER, J. . Modeling the behavior of distaching rules in workflow systems: a statistical approach. In: International Workshop in Groupware (CRIWG), 2005, Porto de galinhas. Groupware: design implementation and use. Heidelberg: Springer, 2005. v. 3706. p. 208-215.
  25. BARSOTTINI, Claudia Novoa ; WAINER, J. . Patterns of collaboration and non-collaboration among physicians. In: International Workshop in Groupware (CRIWG), 2005, porto de galinhas. Groupware: design implementation and use. Heidelberg: Springer, 2005. v. 3706. p. 248-254.
  26. WAINER, J. . Artificial intelligence in medical decision support: the role of virtual health libraries in systematic review. In: 9th World Congress in Health information and libraries, 2005, Salvador, 2005.
  27. PISA, Ivan ; WAINER, J. . Epistemology of medical informatics. In: 9th World Congress in Health information and libraries, 2005, Salvador, 2005.
  28. ANDRE, Amaury ; WAINER, J. . Uma aplicação de planejamento em workflows. In: Workshop Brasileiro de tecnologias de colaboração (WCSCW), 2005, Juiz de Fora. Proceedings do WCSCW, 2005.
  29. TRAMONTINA, Gregorio ; WAINER, J. . Statisical analysis of the performance of scheduling heurisitcs in sequence of workflow activities. In: workshop Brasileiro de tecnologias de colaboração (WCSCW), 2005, Juiz de Fora. Proceedings do WCSCW, 2005.
  30. MASSRUHÁ, Silvia ; WAINER, J. . An integrated framework for clinical problem solving in agriculture.. In: Efita /WCCA 2005 Joint Congress on IT in Agriculture, 2005, Vila Real.. Efita /WCCA 2005 Joint Congress on IT in Agriculture, 2005. p. 1400-1407.
  31. KUMAR, Akhil ; WAINER, J. . Meta-workflows and ESP: A Framework for Coordination, Exception Handling and Adaptability in Workflow Systems. In: CAiSe – Workshop on Web Services, e-Business, and the Semantic Web (WES), 2004, Klagenfurt – Austria. Web Services, E-Business, and the Semantic Web: Second International Workshop, WES 2003 – Revised Selected papers, 2003. v. 3075. p. 13-27.
  32. WAINER, J. ; ELLIS, Clarence . Applying scheduling techniques to minimize the number of late jobs in a workflow system. In: ACM Symposium on Applied Computing, 2004, Nicosia, Chipre. Proceedings of the 2004 ACM Symposium on Applied COmputing, 2004. p. 1396-1403.
  33. WAINER, J.; BEZERRA, Fabio . Tucupi: a flexible workflow system based on overidable constraints. In: ACM Symposium on Applied Computing, 2004, Nicosia, Chipre. Proceedings of the 2004 ACM Symposium on Applied Computing, 2004. p. 298-502.
  34. WAINER, J. . Analise bibliografica do uso de computadores na educação e seus respectivos resultados. In: Workshop sobre Informatica na Escola (parte do congresso da SBC 2004), 2004, Slavador. Anais do SBC 2004, 2004. v. 1. p. 89.
  35. WAINER, J. . Software para Projetar o Peso Futuro no Controle Clínico do Emagrecimento. In: IX Congresso da Sociedade Brasileira de Informatica em Saude, 2004, Riberao Preto. Anais do IX Congresso Brasileiro de Informatica em Saude (CBIS 2004), 2004. v. 1. p. 106-110.
  36. BILLA, Cleo Zanella ; WAINER, J. . Modo Auditor Num Sistema Automático de Condutas Clínicas Para o Atendimento Primário. In: IX Congresso da Sociedade Brasileira de Informatica em Saude, 2004, Ribeirao Preto. Anais do CBIS 2004, 2004. p. 170-175.
  37. BILLA, Cleo Zanella ; WAINER, J. . Diferentes Modos de Interação Num Sistema Automático de Condutas Clínicas Para o Atendimento Primário. In: IX Congresso da Sociedade Brasileira de Informatica em Saude, 2004, Ribeirao Preto. Anais do CBIS 2004, 2004. p. 176-179.
  38. WAINER, J.; CAMPOS, Carlos Jose Reis dos ; SIGULEM, Daniel . O que é pesquisa em informática em saúde?2004. In: IX Congresso da Sociedade Brasileira de Informatica em Saude, 2004, Ribeirao Preto. Anais do CBIS 2004, 2004. p. 246-250.
  39. WAINER, J.; MEDEIROS, Rogerio . Telemedicina: onde estão seus benefícios sócioeconômicos?. In: IX Congresso da Sociedade Brasileira de Informatica em Saude, 2004, Ribeirao Preto. Anais do CBIS 2004, 2004. p. 485-488.
  40. MASSRUHÁ, Silvia ; WAINER, J. . Ordering manifestations for investigation in incomplete diagnosis.. In: Information Processing and Management of Uncertainty (IPMU 2004), 2004, Perugia (Italia). Proc. 10th International Conference IPMU 2004, 2004. p. 1153-1160.
  41. MADEIRA, Edmundo ; WAINER, J. . Um Algoritmo Guloso para Configuração e Reconfiguração de Scatternets Bluetooth. In: XXX Seminário Integrado de Software e Hardware (SEMISH), 2003, Campians. XXX Seminário Integrado de Software e Hardware (SEMISH), 2003.
  42. WAINER, J. . Inferência Abdutiva na Avaliação de Ameaças na Defesa Aeroespacial. In: IV Encontro Nacional de Inteligencia Artificial, 2003, Campians. IV Encontro Nacional de Inteligencia Artificial, 2003.
  43. WAINER, J. ; COVIC, Andre . High level techniques for self-repairing robotic systems. In: IV Encontro Nacional de Inteligencia Artificial, 2003, Campinas. IV Encontro Nacional de Inteligencia Artificial (ENIA), 2003.
  44. PELLEGRINI, Jeronimo ; WAINER, J. . On the use of POMDPs to model diagnosis and treatment of diseases. In: IV Encontro Nacional de Inteligencia Artificial, 2003, Campinas. IV Encontro Nacional de Inteligencia Artificial, 2003.
  45. MADEIRA, Edmundo ; WAINER, J. . A Greedy Algorithm to Configure and Reconfigure Bluetooth Scatternets. In: Fifth IEEE International Conference on Mobile and Wireless Communications Networks (MWCN 2003), 2003, Singapura. Fifth IEEE International Conference on Mobile and Wireless Communications Networks (MWCN 2003), 2003.
  46. WAINER, J.. Constraint-based flexible workflows. In: 9th International Workshop on Groupware, 2003, Grenoble. 9th International Workshop on Groupware, 2003.
  47. MASSRUHÁ, Silvia ; WAINER, J. . Fuzzy covering theory: an alternative approach for diagnostic problem solving. In: European Federation for Information Technology in Agriculture, Food and the Environment 2003, 2003, Debrecen. EFITA 2003, 2003.
  48. MASSRUHÁ, Silvia ; WAINER, J. . Fuzzy Covering Theory: an alternative approach for diagnostic problem-solving. In: 4th European Conference for Information Technology in Agriculture (EFITA 2003), 2003, Budapest. Proceedings of the 4th European Conference for Information Technology in Agriculture (EFITA 2003), 2003. p. 768-775.
  49. WAINER, J. . Um sistema de controle de interacao medicamentosa. In: VIII Congresso brasileiro de informatica em saude, 2002, Natal, 2002.
  50. BARSOTTINI, Claudia Novoa ; WAINER, J. . Um modelo taxonomico de teleconsultas. In: VIII Congresso brasileiro de informatica em saude, 2002, Natal, 2002.
  51. WAINER, J. . Model based diagnostics in LANs. In: 2002 IEEE Workshop on IP Operations and Management (IPOM 2002), 2002, dallas, texas, eua. Proceedings of the IEEE workshop on IP Operations and Management, 2002.
  52. WAINER, J. ; MADEIRA, Edmundo . Um algoritmo de configuracao de Scatternets Bluetooth. In: IV Workshop de redes sem fio e computacao movel, 2002, Sao Paulo, 2002. p. 184-190.
  53. WAINER, J.. A conceptual framework to model chronic and long term diseases. In: Artificial Intelligence in Medicine in Europe, 2001. Proceedings of the AIME 2001, 2001. v. 2101. p. 405-409.
  54. WAINER, J.. SYMGROUP: applying social agents in a group interaction system. In: ACM Conference on supporting group work, 2001, Boulder, Colorado, EUA. Proceedings of the ACM GROUP 2001, 2001.
  55. WAINER, J.. Logical representation of processes in work activity coordination. In: ACM Conference on Applied Computing, 2000. Proceedings of the ACm Conference on Applied COmputing 2000, 2000. v. 1. p. 203-209.
  56. WAINER, J.. Network Fault Diagnosis: a model based approach. In: IFIP/IEEE Network Operations Management Symposium, 2000. Proceedings IFIP/IEEE Network Operations Management Symposium, 2000.
  57. WAINER, J. . Workflow Modeling using proclets. In: 5th International Conference on Cooperative Information Systems, 2000, 2000.
  58. WAINER, J. . Scheduling meetings through multi-agent negotiations. In: Simposio Brasileiro de Inteligencia artificial, 2000. Proceedings on the 15h Brazilian Symposium on Artificial Intelligence, 2000. v. 1952. p. 126-135.
  59. WAINER, J.. A concpetual framework to model chronic and long term diseases. In: Simposio Brasileiro de Inteligencia Artificial, 2000. IBERAMIA-SBIA Open discussion track, 2000. p. 137-146.
  60. WAINER, J. . Multi agent plans: analysis and implementation. In: Iberamia SBIA 2000, 2000. IBERAMIA SBIA 2000 Open discussion track Proceedings, 2000. p. 137-146.
  61. WAINER, J. ; ELLIS, Clarence . Corba Based Architecture For Large Scale Workflow. In: 4th International Symposium on Autonomous Decentralized Systems, 1999, Japao. Proceedings of the 4th International Symposium on Autonomous Decentralized Systems. Japao, 1999. p. 276-283.
  62. WAINER, J. . Model Based diagnostics for network communication faults. In: Third International workfshop on Artificial Intelligence in Distributed Information Networking, 1999. Thecnical Report WS-99-03, 1999. p. 57-62.
  63. SOUZA, C. ; WAINER, J. . A model and tool for semi-automatic recording of design rationale in software diagrams. In: Citos-Rites International Workshop in Groupware, 1999. Citos-Rites International Workshop in Groupware, 1999.
  64. WAINER, J. . Fault diagnosis for local area network environment. In: IEEE latin American network operation and management symposium, 1999.
  65. WAINER, J.. A Fuzzy Temporal/Categorical Extension To The Parsimonious Covering Theory. In: 7th Conference on Information Processing and Management of Uncertanty in Knowledge Base Systems (IPMU 98) 7th Conference on Information Processing and the management of Uncertanty in Knowledge Based Systems (IPMU 98), 1998, Paris. A fuzzy temporal/cetegorical extension to the parsimonious covering theory. Paris, Franca, 1998.
  66. SOUZA, C. ; WAINER, J. ; RUBIRA, C. . Cooperative Design Editing On The Web. In: International Conference on Software Engineering ICSE 98, 1998. Workshop on Software Engineering over the Internet. Japao.
  67. SOUZA, C. ; WAINER, J. ; RUBIRA, C. . Um Framework Para Editores de Diagramas Cooperativos Baseados Em Anotacoes. In: Ingenharia de Ambientes de Software, 1998, Torres. IDEAS´98 (Ingenharia de Ambientes de Software). Torres, RS, 1998.
  68. WAINER, J. . A Strong Conditional Logic. In: Simposio Brasileiro de Inteligencia Artificial, 1998, Porto Alegre. Simposio Brasileiro de Inteligencia Artificial. Berlin: Springer Verlag, 1998.
  69. WAINER, J. . Modeling Action, Knowledge And Control. In: 13th European Conference on Artificial Intelligence, 1998, Inglaterra. Proceedings of the European Conference on Artificial Intelligence (ECAI’98). Inglaterra, 1998. p. 532-536.
  70. WAINER, J.. Fuzzy Temporal Categorical And Intensity Information In Diagnosis. In: XIV Brazilian Symposium on Artificial Intelligence – SBIA’98, 1998, Porto Alegre. Proceedings of the XIV Brazilian Symposium on Artificial Intelligence – SBIA’98. Berlin: Springer Verlag, 1998.
  71. WAINER, J.; ELLIS, Clarence . Agents In Groupware Systems. In: 4th CYTED-RITOS Workshop on Groupware (CRIWG’98), 1998, Buzios. Proceedings of the CYTED-RITOS Workshop on Groupware (CRIWG’98). Buzios, Brasil, 1998. p. 157-168.
  72. ELLIS, Clarence ; WAINER, J. . Modeling Workflow Dynamic Change Using Timed Flow Nets And Flow Jumpers. In: 19th International Conference on Applications and Theory of Petri Nets, 1998, Lisboa. Workshop Workflow Management: Net-based Concepts, Models, Techniques and Tools. Lisboa, Portugal, 1998.
  73. PELLEGRINI, Jeronimo ; WAINER, J. . Diagonalization And Type Rewriting In Clan. In: Proceedings of the 8th Portuguese Conference on AI (EPIA 97), 1997, Portugal. Lecture Notes in Artificial Intelligence (Sringer Verlag). Berlin: Springer Verlag, 1997. v. 1323.
  74. SOUZA, C. ; WAINER, J. ; RUBIRA, C. . Um Modelo de Anotacoes Para O Desenvolvimento Colaborativo de Software. In: III Workshop em Sistemas Multimedia e Hipermedia, 1997, Sao Carlos. Sao Carlos, 1997. p. 143-154.
  75. WAINER, J. . A Temporal Extension To The Parsimonious Covering Theory. In: Simposio Brasileio de Inteligencia Atificial, 1996. Lecture Notes in Artificial Intelligence (Springer Verlag). Curitiba. v. 1159. p. 201-210.
  76. WAINER, J. . Epistemic Conditional Logics. In: Simposio Brasileiro em Inteligencia Artificial (SBIA 96), 1996. Lecture Notes in Artificial Intelligence (Springer Verlag). Curitiba. v. 1159. p. 21-30.
  77. WAINER, J. . Preferential Mutli-Agent Nonmonotonic Logics: Preliminary Report. In: 5th Conference on principles of Knoledge Representation and Reasoning (KR 96), 1996. Proceedings (Morgan Kaufmann). EUA. p. 446-452.
  78. WAINER, J. . Constructing Conditional Models With Good Properties: Preliminary Results. In: XVI International Conference of the Chilean Computer Science Society, 1996, Chile. Proceedings of the XVI International Conference of the Chilean Computer Science Society. chile, 1996.
  79. WAINER, J. . Workflow Modeling. In: Cytes Ritos International workshop on Groupware, 1995, Lisboa. Proceedings of the 1st CITES-RYTOS International WOrkshop on Groupware. Portugal, 1995. p. 1-13.
  80. WAINER, J. . Workflow Systems: A Few Suggestions And A Few Definitions. In: ACM Conference on Organizational Computing Systems, 1995, San Jose, USA. Proceedings ACM Conference on Organizational Computing Systems. EUA: ACM Press, 1995. p. 138-147.
  81. ELLIS, Clarence ; WAINER, J. . A Conceptual Model Of Groupware. In: Proceedings of the ACM Conference on Computer Supported Colaborative Work, 1994. ACM Conference on Computer Supported Colaborative Work. EUA. p. 79-88.
  82. WAINER, J.. Epistemic Extension Of Propositional Preference Logics. In: International Joint Conference on AI (IJCAI 93), 1993. Proceedings. Franca. p. 382-387.


Sandra Avila

  1. BISSOTO, Alceu ; VALLE, Eduardo ; Avila, Sandra . Debiasing Skin Lesion Datasets and Models? Not So Fast. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020, Seattle. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020. p. 3192.
  2. RIBEIRO, VINICIUS ; Avila, Sandra ; VALLE, Eduardo . Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020, Seattle. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020. p. 3182.
  3. BOLLIS, EDSON ; PEDRINI, HELIO ; Avila, Sandra . Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020, Seattle. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020. p. 310.
  4. PEIXOTO, Bruno ; LAVI, BAHRAM ; PEREIRA MARTIN, JOAO PAULO ; Avila, Sandra ; DIAS, Zanoni ; ROCHA, ANDERSON . Toward Subjective Violence Detection in Videos. In: ICASSP 2019 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Brighton. ICASSP 2019 – 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019. p. 8276-8280.
  5. BISSOTO, Alceu ; FORNACIALI, MICHEL ; VALLE, Eduardo ; Avila, Sandra . (De) Constructing Bias on Skin Lesion Datasets. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019, Long Beach. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019. p. 2766.
  6. PEREZ, FABIO ; Avila, Sandra ; VALLE, Eduardo . Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019, Long Beach. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019. p. 2775.
  7. ISHIKAWA, AKARI ; BOLLIS, EDSON ; Avila, Sandra . Combating the Elsagate Phenomenon: Deep Learning Architectures for Disturbing Cartoons. In: 2019 7th International Workshop on Biometrics and Forensics (IWBF), 2019, Cancun. 2019 7th International Workshop on Biometrics and Forensics (IWBF), 2019. p. 1-6.
  8. MALTA, EVA MAIA ; Avila, Sandra ; BORIN, Edson . Exploring the Cost-benefit of AWS EC2 GPU Instances for Deep Learning Applications. In: the 12th IEEE/ACM International Conference, 2019, Auckland. Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing – UCC’19. New York: ACM Press, 2019. p. 21.
  9. BISSOTO, Alceu ; PEREZ, Fábio ; VALLE, Eduardo ; AVILA, Sandra . Skin Lesion Synthesis with Generative Adversarial Networks. In: ISIC Skin Image Analysis Workshop and Challenge, 2018, Granada. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018.
  10. PEIXOTO, Bruno ; AVILA, Sandra ; DIAS, Zanoni ; ROCHA, Anderson . Breaking Down Violence: A Deep-Learning Strategy to Model and Classify Violence in Videos. In: International Workshop on Digital Forensics (WSDF), 2018, Hamburgo. International Conference on Availability, Reliability and Security (ARES). New York: ACM Press, 2018.
  11. PEREZ, Fábio ; VASCONCELOS, Cristina N. ; AVILA, Sandra ; VALLE, Eduardo . Data Augmentation for Skin Lesion Analysis. In: ISIC Skin Image Analysis Workshop and Challenge, 2018, Granada. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018.
  12. MOREIRA, DANIEL ; AVILA, SANDRA ; PEREZ, MAURICIO ; MORAES, DANIEL ; TESTONI, VANESSA ; VALLE, Eduardo ; GOLDENSTEIN, SIOME ; ROCHA, Anderson . Temporal Robust Features for Violence Detection. In: 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 2017, Santa Rosa. 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 2017. p. 391-399.
  13. MENEGOLA, AFONSO ; FORNACIALI, MICHEL ; PIRES, Ramon ; BITTENCOURT, FLAVIA VASQUES ; AVILA, SANDRA ; VALLE, Eduardo . Knowledge transfer for melanoma screening with deep learning. In: 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017, Melbourne. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017. p. 297-300.
  14. LEONARDO, MATHEUS MACEDO ; AVILA, SANDRA ; ZUCCHI, ROBERTO A. ; FARIA, FABIO A. . Mid-level Image Representation for Fruit Fly Identification (Diptera: Tephritidae). In: 2017 IEEE 13th International Conference on eScience (eScience), 2017, Auckland. 2017 IEEE 13th International Conference on e-Science (e-Science), 2017. p. 202.
  15. CARVALHO, MICAEL ; CORD, MATTHIEU ; AVILA, SANDRA ; THOME, NICOLAS ; VALLE, EDUARDO . Deep neural networks under stress. In: 2016 IEEE International Conference on Image Processing (ICIP), 2016, Phoenix. 2016 IEEE International Conference on Image Processing (ICIP). p. 4443-4447.
  16. VITORINO, PAULO. ; AVILA, SANDRA ; ROCHA, ANDERSON . A two-tier image representation approach to detecting child pornography. In: XII Workshop de Visão Computacional, 2016, Campo Grande. XII Workshop de Visão Computacional (WVC), 2016.
  17. RAMOS, N. ; FREITAS, C. ; AVILA, S. ; COSTA, P. D. P. ; TESTONI, V. ; BORIN, J. F. . Ensino de programação para alunas de ensino médio: relato de uma experiência. In: XXIII Workshop sobre Educação em Informática (WEI), 2015, Recife/PE. XXXV Congresso da Sociedade Brasileira de Computação (CSBC), 2015.
  18. CAETANO, CARLOS ; AVILA, SANDRA ; GUIMARÃES, SILVIO ; ARAÚJO, ARNALDO DE A. . Representing local binary descriptors with BossaNova for visual recognition. In: the 29th Annual ACM Symposium, 2014, Gyeongju. Proceedings of the 29th Annual ACM Symposium on Applied Computing – SAC ’14. New York: ACM Press. p. 49-54.
  19. TOTTI, LUAM CATAO ; COSTA, FELIPE ALMEIDA ; AVILA, SANDRA ; VALLE, EDUARDO ; MEIRA, WAGNER ; ALMEIDA, VIRGILIO . The impact of visual attributes on online image diffusion. In: the 2014 ACM conference, 2014, Bloomington. Proceedings of the 2014 ACM conference on Web science – WebSci ’14. New York: ACM Press. p. 42.
  20. PIRES, RAMON ; AVILA, SANDRA ; JELINEK, HERBERT F. ; WAINER, JACQUES ; VALLE, EDUARDO ; ROCHA, ANDERSON . Automatic Diabetic Retinopathy detection using BossaNova representation. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014, Chicago. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. p. 146-149.
  21. FORNACIALI, MICHEL ; AVILA, SANDRA ; CARVALHO, MICAEL ; VALLE, EDUARDO . Statistical Learning Approach for Robust Melanoma Screening. In: 2014 27th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2014, Brazil. 2014 27th SIBGRAPI Conference on Graphics, Patterns and Images. p. 319-326.
  22. CAETANO, C. ; AVILA, S. ; GUIMARAES, S. J. F. ; A. de A. Araújo . Pornography Detection Using BossaNova Video Descriptor. In: European Signal Processing Conference (EUSIPCO), 2014, Lisboa, Portugal. Proceedings of the 22nd European Signal Processing Conference, 2014. p. 1681-1685.
  23. DURAND, THIBAUT ; THOME, NICOLAS ; CORD, MATTHIEU ; AVILA, SANDRA . Image classification using object detectors. In: 2013 20th IEEE International Conference on Image Processing (ICIP), 2013, Melbourne. 2013 IEEE International Conference on Image Processing. p. 4340-4344.
  24. AVILA, S.; THOME, N. ; CORD, M. ; VALLE, E. ; A. de A. Araújo . Extended Bag-of-words Formalism for Image Classification. In: Conference on Graphics, Patterns and Images (SIBGRAPI), 2013, Arequipa. Conference on Graphics, Patterns and Images, 2013.
  25. VALLE, E. ; AVILA, S. ; SOUZA, F. D. M. ; Marcelo de Miranda Coelho ; A. de A. Araújo . Content-based filtering for video sharing social networks. In: Brazilian Symposium on Information and Computer System Security (SBSeg), 2012, Curitiba. Brazilian Symposium on Information and Computer System Security, 2012.
  26. AVILA, S.; THOME, N. ; CORD, M. ; VALLE, E. ; DE A. ARAUJO, A. . BOSSA: Extended bow formalism for image classification. In: 2011 18th IEEE International Conference on Image Processing (ICIP 2011), 2011, Brussels. 2011 18th IEEE International Conference on Image Processing. p. 2909-2969.
  27. LOPES, A. P. B. ; AVILA, S. E. F. ; PEIXOTO, A. ; Rodrigo Silva Oliveira ; Arnaldo de A. Araújo . A Bag-of-features Approach based on Hue-SIFT Descriptor for Nude Detection. In: 17th European Signal Processing Conference (EUSIPCO), 2009, Glasgow. Proceedings of 17th European Signal Processing Conference (EUSIPCO), 2009. p. 1552-1556.
  28. LOPES, A. P. B. ; AVILA, S. E. F. ; PEIXOTO, A. ; Rodrigo Silva Oliveira ; Marcelo de Miranda Coelho ; Arnaldo de A. Araújo . Nude Detection in Video using Bag-of-Visual-Features. In: XXII Brazilian Symposium on Computer Graphics and Image (SIBGRAPI), 2009, Rio de Janeiro, RJ. Proceedings of the XXII Brazilian Symposium on Computer Graphics and Image (SIBGRAPI). Washington, DC, USA: IEEE Computer Society, 2009. p. 224-236.
  29. AVILA, S. E. F.; Arnaldo de A. Araújo . VSUMM: An approach based on color features for automatic summarization and a subjective evaluation method. In: VIII Workshop of Theses and Dissertations (WTD) / XXII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI), 2009, Rio de Janeiro, RJ. XXII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI), 2009.
  30. AVILA, S. E. F.; Antonio da Luz Jr. ; Arnaldo de A. Araújo . VSUMM: A Simple and Efficient Approach for Automatic Video Summarization. In: 15th International Conference on Systems, Signals and Image Processing (IWSSIP), 2008, Bratislava. Proceedings oh the 15th International Conference on Systems, Signals and Image Processing (IWSSIP), 2008. p. 449-452.
  31. AVILA, S. E. F.; Antonio da Luz Jr. ; Arnaldo de A. Araújo ; CORD, M. . VSUMM: An Approach for Automatic Video Summarization and Quantitative Evaluation. In: XXI Brazilian Symposium on Computer Graphics and Image (SIBGRAPI), 2008, Campo Grande. Proceedings of the 21th Brazilian Symposium on Computer Graphics and Image (SIBGRAPI). Los Alamitos: IEEE Computer Society, 2008. p. 103-110.
  32. LOPES, A. P. B. ; FLAM, D. L. ; BATISTA, N. C. ; AVILA, S. E. F. ; ALMEIDA, J. M. ; Arnaldo de A. Araújo . Automatic frame extraction for improving content-based image retrieval of historical photographs. In: 14th Brazilian Symposium on Multimedia and the Web (WebMedia), 2008, Vila Velha. Proceedings of the 14th Brazilian Symposium on Multimedia and the Web (WebMedia). New York, NY, USA: ACM, 2008. p. 44-50.
  33. AVILA, S. E. F.; MATOS, L. N. ; FREITAS, C. O. A. ; CARVALHO, J. M. de . Evaluating a Zoning Mechanism and Class-Modular Architecture for Handwritten Characters Recognition. In: Progress in Pattern Recognition, Image Analysis and Applications, 12th Iberoamerican Congress on Pattern Recognition (CIARP), 2007, Valparaiso. Proceedings of the 12th Iberoamerican Congress on Pattern Recognition (CIARP). Berlin, Heidelberg: Springer, 2007. v. 4756. p. 515-524.
  34. AVILA, S. E. F.; BISPO, K. A. ; PALMA, G. F. L. . FiSiKA: Linguagem de Programação Funcional para Animação. In: VI ERBASE – Escola Regional de Computação Bahia-Sergipe, 2006, São Cristóvão. IV WTICG-BASE – Workshop de Trabalhos de Graduação e Iniciação Científica Bahia-Sergipe, 2006.


Adín Rivera

  1. Silva, M.V.S. ; Bittencourt, L. ; Ramírez Rivera, A. . Towards Federated Learning in Edge Computing for Real-Time Traffic Estimation in Smart Cities. In: Workshop of Urban Computation, 2020, Rio de Janeiro. Workshop of Urban Computation, 2020.
  2. Nikolentzos, G. ; Thomas, M. ; Ramírez Rivera, A. ; Vazirgiannis, M. . Image Classification using Graph-based Representations and Graph Neural Networks. In: International Conference Complex Networks and their Applications, 2020, Madrid. International Conference Complex Networks and their Applications, 2020.
  3. Khusainova, A. ; Khan, A. ; Ramirez Rivera, A. . SART—Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation. In: International Conference on Computational Linguistics and Intelligent Text Processing, 2019, La Rochelle. Lecture Notes in Computer Science, 2019.
  4. TTITO, DARWIN ; QUISPE, RODOLFO ; RIVERA, ADIN RAMIREZ ; PEDRINI, HELIO . Where are the People? A Multi-Stream Convolutional Neural Network for Crowd Counting via Density Map from Complex Images. In: 2019 International Conference on Systems, Signals and Image Processing (IWSSIP), 2019, Osijek. 2019 International Conference on Systems, Signals and Image Processing (IWSSIP), 2019. p. 241.
  5. Saire, D. ; Ramirez Rivera, A. . Graph Learning Network: A Structure Learning Algorithm. In: ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Data, 2019, Long Beach. ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Data, 2019.
  6. Robles, S. ; Gómez, J. ; Ramirez Rivera, A. ; González, J. ; Padilla, N. ; DUJOVNE, D. . A Halo Merger Tree Generation and Evaluation Framework. In: ICML 2019 Workshop on Theoretical Physics for Deep Learning, 2019, Long Beach. ICML 2019 Workshop on Theoretical Physics for Deep Learning, 2019.
  7. Kim, B. ; Ramirez Rivera, A. ; Chae, O. ; Kim, J. . Background Modeling Through Spatiotemporal Edge Feature and Color. In: International Symposium on Visual Computing, 2019, Nevada. Advances in Visual Computing, 2019. p. 196-208.
  8. ZHDANOV, P. ; KHAN, A. ; Ramírez Rivera, A. ; KHATTAK, A. . Improving Human Action Recognition through Hierarchical Neural Network Classifiers. In: International Joint Conference on Neural Networks (IJCNN), 2018, Rio. International Joint Conference on Neural Networks (IJCNN), 2018.
  9. DOBRENKII, ANTON ; KULEEV, RAMIL ; KHAN, ADIL ; Rivera, Adin Ramirez ; KHATTAK, ASAD MASOOD . Large residual multiple view 3D CNN for false positive reduction in pulmonary nodule detection. In: 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2017, Manchester. 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2017. p. 1.
  10. GUSAREV, MAXIM ; KULEEV, RAMIL ; KHAN, ADIL ; Rivera, Adin Ramirez ; KHATTAK, ASAD MASOOD . Deep learning models for bone suppression in chest radiographs. In: 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2017, Manchester. 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2017. p. 1.
  11. KIM, JAEMYUN ; RIVERA, ADIN RAMIREZ ; KIM, BYEONGWOO ; ROY, KAUSHIK ; CHAE, OKSAM . Background modeling using adaptive properties of hybrid features. In: 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2017, Lecce. 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2017. p. 1.
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  13. Arias Figueroa, J. ; Ramirez Rivera, A. . Is Simple Better?: Revisiting Simple Generative Models for Unsupervised Clustering. In: Bayesian Deep Learning (NIPS Workshop), 2017, Long Beach. Bayesian Deep Learning (NIPS Workshop), 2017.
  14. SEOKJIN HONG ; KIM, JAEMYUN ; Rivera, Adin Ramirez ; SONG, GIHUN ; CHAE, OKSAM . Edge shape pattern for background modeling based on hybrid local codes. In: 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2016, Colorado Springs. 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). p. 1.
  15. KIM, JAEMYUN ; Rivera, Adin Ramirez ; RYU, BYUNGYONG ; CHAE, OKSAM . Simultaneous Foreground Detection and Classification with Hybrid Features. In: 2015 IEEE International Conference on Computer Vision (ICCV), 2015, Santiago. 2015 IEEE International Conference on Computer Vision (ICCV), 2015. p. 3307.
  16. KIM, JAEMYUN ; RAMIREZ RIVERA, ADIN ; RYU, BYUNGYONG ; AHN, KIOK ; CHAE, OKSAM . Unattended object detection based on edge-segment distributions. In: 2014 International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2014, Seoul. 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2014. p. 283.
  17. KIM, JAEMYUN ; Rivera, Adin Ramirez ; SONG, GIHUN ; RYU, BYUNGYONG ; CHAE, OKSAM . Edge-segment-based Background Modeling: Non-parametric online background update. In: 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2013, Krakow. 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013. p. 214.
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  19. Ramirez, Adin; Rojas Castillo, J. ; Chae, O. . Local Gaussian Directional Pattern for Face Recognition. In: International Conference on Pattern Recognition (ICPR), 2012, Tsukuba. International Conference on Pattern Recognition (ICPR), 2012.
  20. RAMIREZ RIVERA, ADIN; ROJAS CASTILLO, JORGE A. ; CHAE, OKSAM . Recognition of face expressions using Local Principal Texture Pattern. In: 2012 19th IEEE International Conference on Image Processing (ICIP 2012), 2012, Orlando. 2012 19th IEEE International Conference on Image Processing, 2012. p. 2609.
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  22. RAMIREZ-RIVERA, ADIN; MURSHED, MAHBUB ; CHAE, OKSAM . Object detection through edge behavior modeling. In: 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2011, Klagenfurt. 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2011. p. 273.
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Ricardo Torres

  1. PINCIROLI VAGO, NICOLO ORESTE ; LAVINAS, YURI ; RODRIGUES, DANIELE ; MOURA, FELIPE ; CUNHA, SERGIO ; ARANHA, CLAUS ; da Silva Torres, Ricardo . INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches. In: 34th International ECMS Conference on Modelling and Simulation, 2020, Wildau, Germany. ECMS 2020 Proceedings edited by Mike Steglich, Christian Mueller, Gaby Neumann, Mathias Walther, 2020. p. 228.
  2. PINTO, ALLAN ; CORDOVA, MANUEL A. ; DECKER, LUIS G. L. ; FLORES-CAMPANA, JOSE L. ; SOUZA, MARCOS R. ; DOS SANTOS, ANDREZA A. ; CONCEICAO, JHONATAS S. ; GAGLIARDI, HENRIQUE F. ; LUVIZON, DIOGO C. ; TORRES, RICARDO DA S. ; PEDRINI, HELIO . Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation. In: 2020 IEEE International Conference on Image Processing (ICIP), 2020, Abu Dhabi. 2020 IEEE International Conference on Image Processing (ICIP), 2020. p. 1621-1625.
  3. LAYZA, JAIME ROCCA ; PEDRINI, HELIO ; TORRES, Ricardo da Silva . 1-to-N Large Margin Classifier. In: 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2020, Recife/Porto de Galinhas. 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2020. p. 316-323.
  4. ROSSANEZ, ANDERSON ; Reis, J. C. ; TORRES, R. da S. . Representing scientific literature evolution via temporal knowledge graphs. In: 6th Managing the Evolution and Preservation of the Data Web (MEPDaW) Workshop, International Semantic Web Conference (ISWC), 2020. MEPDaW, 2020.
  5. Andrade, F. ; Aranha, C. ; TORRES, R. da S. . On the Use of Predation to Shape Evolutionary Computation. In: IEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2020. SSCI, 2020.
  6. Dourado, I. C. ; Tabbone, S. ; TORRES, R. da S. . Event Prediction Based on Unsupervised Graph-Based Rank-Fusion Models. In: International Workshop on Graph-Based Representations in Pattern Recognition, 2019, Tours, France. GbRPR, 2019. p. 88-98.
  7. Dias, D. ; Dias, U. ; Menini, N. ; Lamparelli, R. ; Le Maire, G. ; TORRES, R. da S. . Pixelwise Remote Sensing Image Classification based on Recurrence Plot Deep Features. In: IEEE International Geoscience and Remote Sensing Symposium, 2019, Yokohama, Japão. IGARSS, 2019.
  8. Santos, E. S. ; Alberton, B. ; Morellato, L. P. C. ; TORRES, R. da S. . An Information Retrieval Approach for Large-Scale Time Series Retrieval. In: IEEE International Geoscience and Remote Sensing Symposium, 2019, Yokohama, Japão. IGARSS, 2019.
  9. Tavares, E. ; Santos, J. A. ; TORRES, R. da S. . Evaluating Deep Contextual Description of Superpixels for Detection in Aerial Images. In: IEEE International Geoscience and Remote Sensing Symposium, 2019, Yokohama, Japão. IGARSS, 2019.
  10. CIRNE, MARCOS ; ANDALO, FERNANDA ; DIAS, RAFAEL ; RESEK, THIAGO ; BERTOCCO, GABRIEL ; TORRES, RICARDO DA S. ; ROCHA, ANDERSON . Deep Face Verification for Spherical Images. In: 2019 IEEE International Conference on Image Processing (ICIP), 2019, Taipei. 2019 IEEE International Conference on Image Processing (ICIP), 2019. p. 3292-3296.
  11. GUTIERREZ-CASTILLA, NICOLAS ; DA S. TORRES, RICARDO ; FALCAO, ALEXANDRE X. ; KOZERKE, SEBASTIAN ; SCHWITTER, JURG ; MASCI, PIER-GIORGIO ; Montoya-Zegarra, Javier A. . Long-Range Decoder Skip Connections: Exploiting Multi-Context Information for Cardiac Image Segmentation. In: 2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2019, Rio de Janeiro. 2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2019. p. 60-67.
  12. DESTRO, J. ; Reis, J. C. ; TORRES, R. da S. ; Ricarte, I. L. M. . Ontology Changes-Driven Semantic Refinement of Cross-Language Biomedical Ontology Alignment. In: Workshop on Semantic Web Solutions for Large-Scale Biomedical Data Analytics (SeWeBMeDA), 18th International Semantic Web Conference (ISWC), 2019, Auckland, New Zealand. SeWeBMeDA, 2019. p. 1-15.
  13. NEIRA, MANUEL A. CORDOVA ; Decker, L. G. L. ; Campana, J. L. F. ; Santos, A. A. ; Conceicao, J. S. J. ; PINTO, ALLAN ; Pedrini, H. ; TORRES, R. da S. . Pelee-Text: A Tiny Convolutional Neural Network for Multi-Oriented Scene Text Detection. In: ICMLA, 2019, Boca Raton, USA. 18th IEEE International Conference on Machine Learning and Applications, 2019. p. 400-405.
  14. DESTRO, J. ; Reis, J. C. ; Ricarte, I. L. M. ; TORRES, R. da S. . Evolution-based Refinement of Cross-language Ontology Alignments. In: 34th Brazilian Symposium on Databases, 2019, Fortaleza, Brazil. SBBD, 2019.
  15. DESTRO, J. ; Muñoz, J. M. ; Reis, J. C. ; TORRES, R. da S. . EVOCROS: Results for OAEI 2019. In: Proceedings of the 14th International Workshop on Ontology Matching, 2019, Auckland, New Zealand. OM@ISWC, 2019.
  16. Santana, T. M. H. C. ; TORRES, R. da S. ; Santos, J. A. . Superpixel Context Description Based on Visual Words Co-Occurrence Matrix. In: IEEE International Geoscience and Remote Sensing Symposium, 2018, Valencia, Espanha. IGARSS, 2018. p. 6199-6202.
  17. Almeida, A. E. ; Menini, N. ; Verbesselt, J. ; TORRES, R. da S. . BFAST Explorer: An Effective Tool For Time Series Analysis. In: IEEE International Geoscience and Remote Sensing Symposium, 2018, Valencia, Espanha. IGARSS, 2018. p. 4913-4916.
  18. Werneck, R. O. ; Raveaux, R. ; Tabbone, S. ; TORRES, R. da S. . Learning Cost Functions for Graph Matching. In: Structural, Syntactic, and Statistical Pattern Recognition, 2018, Pequim, China. S+SSPR, 2018. p. 345-354.
  19. DE O. WERNECK, RAFAEL ; DOURADO, ICARO C. ; FADEL, SAMUEL G. ; TABBONE, SALVATORE ; DA S. TORRES, RICARDO . Graph-Based Early-Fusion for Flood Detection. In: 2018 25th IEEE International Conference on Image Processing (ICIP), 2018, Athens. 2018 25th IEEE International Conference on Image Processing (ICIP), 2018. p. 1048-1052.
  20. DESTRO, J. ; Santos, G. O. S. ; Reis, J. C. ; TORRES, R. da S. ; Carvalho, A. ; Ricarte, I. L. M. . EVOCROS: results for OAEI 2018. In: 3th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference, 2018, Monterey, CA, USA. OM@ISWC, 2018.
  21. C. UCHOA MAIA RODRIGUES, DANIELE ; A. MOURA, FELIPE ; CUNHA, SERGIO AUGUSTO ; DA S. TORRES, RICARDO . Visualizing Temporal Graphs using Visual Rhythms – A Case Study in Soccer Match Analysis. In: International Conference on Information Visualization Theory and Applications, 2017, Porto. Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2017. v. 3. p. 96-107.
  22. Albarracín, J. ; Ferreira, E. ; Santos, J. A. ; TORRES, R. da S. . Fusion of Genetic-Programming-Based Indices in Hyperspectral Image Classification Tasks. In: IEEE International Geoscience and Remote Sensing Symposium, 2017, Fort Worth, TX, EUA. IGARSS, 2017. p. 554-557.
  23. Nogueira, K. ; Santos, J. A. ; Cancian, L. ; Borges, B. D. ; Silva, T. S. F. ; Morellato, L. P. C. ; TORRES, R. da S. . Semantic Segmentation of Vegetation Images Acquired by Unmanned Aerial Vehicles Using an Ensemble of Convnets. In: IEEE International Geoscience and Remote Sensing Symposium, 2017, Fort Worth, TX, EUA. IGARSS, 2017. p. 3787-3790.
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  25. MARIANO, GREICE CRISTINA ; SOARES, NATALIA COSTA ; MORELLATO, LEONOR PATRICIA CERDEIRA ; TORRES, Ricardo da Silva . Change Frequency Heatmaps for Temporal Multivariate Phenological Data Analysis. In: 2017 IEEE 13th International Conference on eScience (eScience), 2017, Auckland. 2017 IEEE 13th International Conference on e-Science (e-Science), 2017. p. 305-314.
  26. GALLICCHIO DOMINGUES, DIANA MARIA ; Funghetto, S. ; Miranda, M. R. ; Batista, P. K. C. M. ; Oliveira, P. R. F. ; Assis, G. A. ; Rocha, A. ; TORRES, R. da S. . Mobility and freedom: Affective cane for expanded sensorium and embodied cognition. In: 23rd International Conference on Virtual System & Multimedia, 2017, Dublin, Irlanda. VSMM, 2017. p. 1-7.
  27. NOGUEIRA, KEILLER ; DOS SANTOS, JEFERSSON A. ; FORNAZARI, TAMIRES ; FREIRE SILVA, THIAGO SANNA ; MORELLATO, LEONOR PATRICIA ; S. TORRES, RICARDO DA . Towards vegetation species discrimination by using data-driven descriptors. In: 2016 9th IAPR Workshop on Pattern Recogniton in Remote Sensing (PRRS), 2016, Cancun. 2016 9th IAPR Workshop on Pattern Recogniton in Remote Sensing (PRRS), 2016. p. 1-6.
  28. ALBARRACIN, JUAN FELIPE HERNANDEZ ; SANTOS, JEFERSSON ALEX DOS ; TORRES, RICARDO DA S. . Learning to Combine Spectral Indices with Genetic Programming. In: 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2016, Sao Paulo. 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI). p. 408-415.
  29. Mariano, G. ; Staggemeier, V. G. ; Morellato, L. P. C. ; TORRES, R. da S. . A Visual Rhythm Approach to Visualize Multidimensional Cyclical Data: A Case Study on Phenological Data Analysis. In: International Conference on Digital Libraries, 2016, New Delhi, Índia. ICDL. New Delhi: TERI, 2016.
  30. Pinto-Cáceres, S. M ; Almeida, J. G. A. ; Baranauskas, M. C. ; TORRES, R. da S. . FISIR: A Flexible Framework for Interactive Search in Image Retrieval Systems. In: MultiMedia Modeling, 2015. MMM, 2015. v. 8935. p. 335-347.
  31. Nicastro, F. ; Pereira, R. ; Alberton, B. ; Morellato, L. P. C. ; Baranauskas, M. C. ; TORRES, R. da S. . A Semiotic-Informed Approach to Interface Guidelines for Mobile Applications: A Case Study on Phenology Data Acquisition. In: 17th International Conference on Enterprise information Systems, 2015, Barcelona, Spain. ICEIS, 2015. p. 34-43.
  32. Valem, L. P. ; Pedronette, D. C. G. ; TORRES, R. da S. ; Borin, E. ; Almeida, J. G. A. . Effective, Efficient, and Scalable Unsupervised Distance Learning in Image Retrieval Tasks. In: International Conference on Multimedia Retrieval, 2015, Shanghai, China. ICMR, 2015. p. 51-58.
  33. OKADA, CÉSAR YUGO ; PEDRONETTE, DANIEL CARLOS GUIMARÃES ; DA S. TORRES, RICARDO . Unsupervised Distance Learning by Rank Correlation Measures for Image Retrieval. In: the 5th ACM, 2015, Shanghai. Proceedings of the 5th ACM on International Conference on Multimedia Retrieval – ICMR ’15. New York: ACM Press. p. 331-338.
  34. PEDRONETTE, DANIEL CARLOS GUIMARAES ; TORRES, RICARDO DA S. . Unsupervised Effectiveness Estimation for Image Retrieval Using Reciprocal Rank Information. In: 2015 28th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2015, Salvador. 2015 28th SIBGRAPI Conference on Graphics, Patterns and Images. p. 321-328.
  35. VARGAS MUÑOZ, JAVIER ALVARO ; da Silva Torres, Ricardo ; GONÇALVES, MARCOS ANDRÉ . A Soft Computing Approach for Learning to Aggregate Rankings. In: the 24th ACM International, 2015, Melbourne. Proceedings of the 24th ACM International on Conference on Information and Knowledge Management – CIKM ’15. New York: ACM Press. p. 83-92.
  36. WAKU, GUSTAVO M. ; BOLLIS, EDSON R. ; RUBIRA, CECILIA M.F. ; TORRES, RICARDO DA S. . A Robust Software Product Line Architecture for Data Collection in Android Platform. In: 2015 IX Brazilian Symposium on Components, Architectures and Reuse Software (SBCARS), 2015, Belo Horizonte. 2015 IX Brazilian Symposium on Components, Architectures and Reuse Software. p. 31-39.
  37. Pisani, F. ; Pedronette, D. C. G. ; TORRES, R. da S. ; Borin, E. . Improving the Performance of the Contextual Spaces Re-Ranking Algorithm on Heterogeneous Systems. In: XVI Simpósio em Sistemas Computacionais de Alto Desempenho, 2015, Florianópolis, SC. WSCAD, 2015.
  38. Silva, F. B. ; Tabbone, S. ; TORRES, R. da S. . BoG: a New Approach for Graph Matching. In: 22nd International Conference on Pattern Recognition, 2014, Stockholm, Sweden. ICPR, 2014. p. 82-87.
  39. Conti, J. C. ; Faria, F. ; Almeida, J. G. A. ; Alberton, B. ; Morellato, L. P. C. ; Camolesi, L. ; TORRES, R. da S. . Evaluation of Time Series Distance Functions in the Task of Detecting Remote Phenology Patterns. In: 22nd International Conference on Pattern Recognition, 2014, Stockholm, Sweden. ICPR, 2014. p. 3126-3131.
  40. CALUMBY, RODRIGO TRIPODI ; da Silva Torres, Ricardo ; GONCALVES, MARCOS ANDRE . Diversity-driven learning for multimodal image retrieval with relevance feedback. In: 2014 IEEE International Conference on Image Processing (ICIP), 2014, Paris. 2014 IEEE International Conference on Image Processing (ICIP). p. 2197.
  41. Pedronette, D. C. G. ; TORRES, R. da S. . Unsupervised Manifold Learning by Correlation Graph and Strongly Connected Components for Image Retrieval. In: IEEE International Conference on Image Processing, 2014, Paris, France. ICIP, 2014.
  42. Pedronette, D. C. G. ; Calumby, R. T. ; TORRES, R. da S. . Semi-Supervised Learning for Relevance Feedback on Image Retrieval Tasks. In: Conference on Graphics, Patterns and Images, 2014, Rio de Janeiro, Brazil. XXVII SIBGRAPI, 2014. p. 243-250.
  43. Faria, F. ; Rocha, A. ; TORRES, R. da S. . A Framework for Pattern Classifier Selection and Fusion. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2014, Nancy, France. ECML PKDD, 2014.
  44. SANTOS, LILIAN CHAVES BRANDAO DOS ; Almeida, Jurandy ; SANTOS, JEFERSSON ALEX DOS ; GUIMARAES, SILVIO JAMIL FERZOLI ; ARAUJO, ARNALDO DE ALBUQUERQUE ; ALBERTON, BRUNA ; MORELLATO, LEONOR PATRICIA CERDEIRA ; TORRES, Ricardo da Silva . Phenological Event Detection by Visual Rhythms Dissimilarity Analysis. In: 2014 IEEE 10th International Conference on eScience (eScience), 2014, Sao Paulo. 2014 IEEE 10th International Conference on e-Science. p. 263-270.
  45. PEDRONETTE, DANIEL C. G. ; PENATTI, OTÁVIO A. B. ; CALUMBY, RODRIGO T. ; DA S. TORRES, RICARDO . Unsupervised Distance Learning By Reciprocal kNN Distance for Image Retrieval. In: International Conference, 2014, Glasgow. Proceedings of International Conference on Multimedia Retrieval – ICMR ’14, 2014. p. 345.
  46. DOS SANTOS, JEFERSSON A. ; PENATTI, OTAVIO A. B. ; DA S. TORRES, RICARDO ; GOSSELIN, PHILIPPE-H. ; PHILIPP-FOLIGUET, SYLVIE ; FALCAO, ALEXANDRE X. . Remote sensing image representation based on hierarchical histogram propagation. In: IGARSS 2013 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013, Melbourne. 2013 IEEE International Geoscience and Remote Sensing Symposium – IGARSS. p. 2982.
  47. DA S. TORRES, RICARDO; HASEGAWA, MAKOTO ; TABBONE, SALVATORE ; Almeida, Jurandy ; DOS SANTOS, JEFERSSON A. ; ALBERTON, BRUNA ; MORELLATO, LEONOR PATRICIA C. . Shape-based time series analysis for remote phenology studies. In: IGARSS 2013 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013, Melbourne. 2013 IEEE International Geoscience and Remote Sensing Symposium – IGARSS. p. 3598.
  48. GODOI, THIAGO A. ; TORRES, RICARDO DA S. ; CARVALHO, ARIADNE M.B.R. ; GONÇALVES, MARCOS A. ; FERREIRA, ANDERSON A. ; FAN, WEIGUO ; FOX, EDWARD A. . A relevance feedback approach for the author name disambiguation problem. In: the 13th ACM/IEEECS joint conference, 2013, Indianapolis. Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries – JCDL ’13. New York: ACM Press. p. 209.
  49. Silva, F. B. ; Goldenstein, S. K. ; Tabbone, S. ; TORRES, R. da S. . Image Classification based on Bag of Visual Graphs. In: IEEE International Conference on Image Processing, 2013, Melbourne, Australia. ICIP, 2013. p. 4312-4316.
  50. Almeida, Jurandy ; DOS SANTOS, JEFERSSON A. ; ALBERTON, BRUNA C. ; MORELLATO, LEONOR PATRICIA C. ; DA S. TORRES, RICARDO . Visual rhythm-based time series analysis for phenology studies. In: 2013 20th IEEE International Conference on Image Processing (ICIP), 2013, Melbourne. 2013 IEEE International Conference on Image Processing. p. 4412.
  51. FARIA, FABIO A. ; DOS SANTOS, JEFERSSON A. ; SARKAR, SUDEEP ; ROCHA, ANDERSON ; TORRES, RICARDO DA S. . Classifier Selection Based on the Correlation of Diversity Measures: When Fewer Is More. In: 2013 XXVI SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2013, Arequipa. 2013 XXVI Conference on Graphics, Patterns and Images. p. 16.
  52. Pedronette, D. C. G. ; TORRES, R. da S. . Unsupervised measures for estimating the effectiveness of image retrieval systems. In: Conference on Graphics, Patterns, and Images, 2013, Arequipa, Peru. 26th SIBGRAPI, 2013.
  53. PEREIRA, LUIS A.M. ; PAPA, J. PAULO ; Almeida, Jurandy ; TORRES, RICARDO DA S. ; AMORIM, WILLIAN PARAGUASSU . A Multiple Labeling-Based Optimum-Path Forest for Video Content Classification. In: 2013 XXVI SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2013, Arequipa. 2013 XXVI Conference on Graphics, Patterns and Images. p. 334.
  54. TOFFOLI, TICIANA ONIKI ; KOZIEVITCH, NÁDIA PUCHALSKI ; GONÇALVES, MARCOS ANDRÉ ; TORRES, Ricardo da Silva . A formal approach for the specification of digital complex objects. In: the 19th Brazilian symposium, 2013, Salvador. Proceedings of the 19th Brazilian symposium on Multimedia and the web – WebMedia ’13. New York: ACM Press. p. 125.
  55. Almeida, J. G. A. ; Santos, J. A. ; Alberton, B. ; Morellato, L. P. C. ; TORRES, R. da S. . Plant Species Identification with Phenological Visual Rhythms. In: 9th IEEE International Conference on e-Science, 2013, Beijing. e-Science, 2013. p. 148-154.
  56. Pedronette, D. C. G. ; TORRES, R. da S. ; Borin, E. ; Breternitz, M. . Image Re-Ranking Acceleration on GPUs. In: 25th International Symposium on Computer Architecture and Highperformance Computing, 2013, Ipojuca, PE. SBAC-PAD, 2013. p. 176-183.
  57. Muraro, E. ; Mariano, G. ; Kozievitch, N. P. ; Almeida, J. G. A. ; Santos, J. A. ; TORRES, R. da S. ; Alberton, B. ; Morellato, L. P. C. . A Framework for Semantic Annotation of Phenology Image Components. In: International Conference on Digital Libraries, 2013, New Delhi, India. ICDL. New Delhi: TERI, 2013. p. 243-256.
  58. Pedronette, D. C. G. ; TORRES, R. da S. ; Borin, E. ; Breternitz, M. . Efficient Image Re-Ranking Computation on GPUs. In: 10th IEEE International Symposium on Parallel and Distributed Processing with Applications, 2012, Madrid, Espanha. ISPA 2012, 2012. p. 95-102.
  59. FARIA, FABIO A. ; DOS SANTOS, JEFERSSON A. ; TORRES, RICARDO DA S. ; ROCHA, ANDERSON ; FALCAO, ALEXANDRE X. . Automatic fusion of region-based classifiers for coffee crop recognition. In: IGARSS 2012 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012, Munich. 2012 IEEE International Geoscience and Remote Sensing Symposium. p. 2221.
  60. Nakamura, R. ; PAPA, J. ; FONSECA, L. ; SANTOS, J. A. DOS ; TORRES, R. da S. . Hyperspectral band selection through Optimum-Path Forest and evolutionary-based algorithms. In: IGARSS 2012 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012, Munich. 2012 IEEE International Geoscience and Remote Sensing Symposium. p. 3066.
  61. Bueno, L. M. ; Valle, Eduardo ; TORRES, R. da S. . Bayesian Approach for Near-duplicate Image Detection. In: ACM International Conference on Multimedia Retrieval, 2012, Hong Kong. ICMR, 2012. v. 15.
  62. Penatti, O. A. B. ; Li, L. T. ; Almeida, J. G. A. ; TORRES, R. da S. . A Visual Approach for Video Geocoding using Bag-of-Scenes. In: ACM International Conference on Multimedia Retrieval, 2012, Hong Kong. ICMR, 2012. v. 53.
  63. Andrade, F. ; Almeida, J. G. A. ; Pedrini, H. ; TORRES, R. da S. . Fusion of Local and Global Descriptors for Content-Based Image and Video Retrieval. In: 17th Iberoamerican Congress on Pattern Recognition, 2012, Buenos Aires, Argentina. CIARP, 2012. v. 7441. p. 845-853.
  64. Pedronette, D. C. G. ; TORRES, R. da S. . Combining Re-Ranking and Rank Aggregation Methods. In: 17th Iberoamerican Congress on Pattern Recognition, 2012, Buenos Aires, Argentina. CIARP, 2012. v. 7441. p. 170-178.
  65. Mariano, G. ; Almeida, J. G. A. ; TORRES, R. da S. ; Alberton, B. ; Morellato, L. P. C. . Desenvolvimento de um Modelo Conceitual de um Banco de Dados para o Projeto e-phenology. In: VI e-Science Workshop, 2012, Curitiba, PR. XXXII Congresso da Sociedade Brasileira de Computação (CSBC), 2012.
  66. Vidal, M. ; Cavalcanti, J. M. B. ; Moura, E. S. ; Silva, A. S. ; TORRES, R. da S. . Sorted Dominant Local Color for Searching Large and Heterogeneous Image Databases. In: 21st International Conference on Pattern Recognition, 2012, Tsukuba Science City, Japão. ICPR, 2012. p. 1960-1963.
  67. Santos, J. A. ; Penatti, O. A. B. ; TORRES, R. da S. ; Gosselin, P.-H. ; Phillip-Foliguet, S. ; Falcão, A. X. . Improving Texture Description in Remote Sensing Image Multi-Scale Classification Tasks By Using Visual Words. In: 21st International Conference on Pattern Recognition, 2012, Tsukuba Science City, Japão. ICPR, 2012. p. 3090-3093.
  68. Santos, J. A. ; Faria, F. ; TORRES, R. da S. ; Gosselin, P.-H. ; Phillip-Foliguet, S. ; Falcão, A. X. ; Rocha, A. . Descriptor Correlation Analysis for Remote Sensing Image Multi-Scale Classification. In: 21st International Conference on Pattern Recognition, 2012, Tsukuba Science City, Japão. ICPR, 2012. p. 3078-3081.
  69. Mansano, A. ; Matsuoka, J. A. ; Afonso, L. C. S. ; Papa, J. P. ; Faria, F. ; TORRES, R. da S. . Improving Image Classification through Descriptor Combination. In: 2012 XXV SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2012, Ouro Preto. 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images. p. 324.
  70. FARIA, FABIO AUGUSTO ; SANTOS, JEFERSSON ALEX DOS ; ROCHA, ANDERSON ; TORRES, RICARDO DA S. . Automatic Classifier Fusion for Produce Recognition. In: 2012 XXV SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2012, Ouro Preto. 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images. p. 252.
  71. Almeida, Jurandy ; DOS SANTOS, JEFERSSON A. ; ALBERTON, BRUNA ; TORRES, RICARDO DA S. ; MORELLATO, LEONOR PATRICIA C. . Remote phenology: Applying machine learning to detect phenological patterns in a cerrado savanna. In: 2012 IEEE 8th International Conference on EScience (eScience), 2012, Chicago. 2012 IEEE 8th International Conference on E-Science. p. 1.
  72. Pedronette, D. C. G. ; TORRES, R. da S. . Exploiting Contextual Spaces for Image Re-Ranking and Rank Aggregation. In: International Conference on Multimedia Retrieval, 2011, Trento, Itália. ICMR, 2011. p. 13:1-13:8.
  73. Murthy, U. ; Li, L. T. ; Hallerm, E. M. ; Fox, E. A. ; Perez-Quinones. M. A. ; Delcambre, L. M. ; TORRES, R. da S. . Use of Subimages in Fish Species Identification: A Qualitative Study. In: 11th ACM/IEEE Joint Conference on Digital Libraries, 2011, Ottawa, Canada. JCDL, 2011. p. 185-194.
  74. Pedronette, D. C. G. ; TORRES, R. da S. . Exploiting Contextual Information for Rank Aggregation. In: IEEE International Conference on Image Processing, 2011, Brussels, Bélgica. ICIP, 2011. p. 97-100.
  75. Almeida, J. G. A. ; Leite, N. J. ; TORRES, R. da S. . Comparison of Video Sequences with Histograms of Motion Patterns. In: IEEE International Conference on Image Processing, 2011, Brussels, Bélgica. ICIP, 2011. p. 3673-3676.
  76. Pedronette, D. C. G. ; TORRES, R. da S. . Image Re-Ranking and Rank Aggregation based on Similarity of Ranked Lists. In: 14th International Conference on Computer Analysis of Images and Patterns, 2011, Sevilha, Espanha. CAIP, 2011. p. 369-376.
  77. Santos, J. A. ; Silva, A. T. ; TORRES, R. da S. ; Falcão, A. X. ; Magalhães, L. P. ; Lamparelli, R. . Interactive Classification of Remote Sensing Images by using Optimum-Path Forest and Genetic Programming. In: 14th International Conference on Computer Analysis of Images and Patterns, 2011, Sevilha, Espanha. CAIP, 2011. p. 300-307.
  78. Kozievitch, N. P. ; Almeida, J. G. A. ; TORRES, R. da S. ; Santanchè, A. ; Leite, N. J. . Reusing a Compound-Based Infrastructure for Searching Video Stories. In: 12th International Conference on Information Reuse and Intergration, 2011, Las Vegas, EUA. IEEE IRI, 2011. p. 222-227.
  79. Penatti, O. A. B. ; Valle, E. A. ; TORRES, R. da S. . Encoding Spatial Arrangement of Visual Words. In: 16th Iberoamerican Congress on Pattern Recognition, 2011, Pucón, Chile. CIARP, 2011.
  80. Almeida, J. G. A. ; Leite, N. J. ; TORRES, R. da S. . Rapid Cut Detection on Compressed Video. In: 16th Iberoamerican Congress on Pattern Recognition, 2011, Pucón, Chile. CIARP, 2011.
  81. Teodoro, G. ; Valle, E. A. ; Mariano, N. ; TORRES, R. da S. ; Meira, W. . Adaptive Parallel Approximate Similarity Search for Responsive Multimedia Retrieval. In: 20th ACM Conference on Information and Knowledge Management, 2011, Glasgow, Scotland. CIKM. New York, NY, USA: ACM, 2011. p. 495-504.
  82. Faria, F. ; Veloso, A. ; Almeida, H. ; Valle, E. A. ; TORRES, R. da S. ; Gonçalves, M. A. ; Meira, W. . Learning to Rank for Content-Based Image Retrieval. In: 11th ACM International Conference on Multimedia Information Retrieval (MIR), 2010, Philadelphia, Pennsylvania. MIR, 2010. p. 285-294.
  83. Macário, C. ; Santos, J. A. ; Medeiros, C. B. ; TORRES, R. da S. . Annotating Data to Support Decision-Making: a Case Study. In: 6th Workshop on Geographic Information Retrieval, 2010, Zurich, Switzerland. GIR, 2010. p. 1-7.
  84. Santos, J. A. ; Penatti, O. A. B. ; TORRES, R. da S. . Evaluating the Potential of Texture and Color Descriptors for Remote Sensing Image Retrieval and Classification. In: International Conference on Computer Vision Theory and Applications, 2010, Angers, France. VISAPP, 2010. p. 203-208.
  85. Pedronette, D. C. G. ; TORRES, R. da S. . Shape Retrieval Using Contour Features and Distance Optimization. In: International Conference on Computer Vision Theory and Applications, 2010, Angers, France. VISAPP, 2010. v. 2. p. 197-202.
  86. Garcia, V. B. ; TORRES, R. da S. . A Shape Descriptor based on Scale-Invariant Multiscale Fractal Dimension. In: International Conference on Computer Vision Theory and Applications, 2010, Angers, France. VISAPP, 2010. v. 2. p. 185-190.
  87. Faria, F. ; Papa, J. P. ; Falcão, A. X. ; TORRES, R. da S. . Multimodal Pattern Recognition Through Particle Swarm Optimization. In: 17th International Conference on Systems, Signals, and Image Processing, 2010, Rio de Janeiro, Brazil. IWSSIP, 2010. p. 134-137.
  88. Almeida, J. G. A. ; Minetto, R. ; Almeida, T. A. ; TORRES, R. da S. ; Leite, N. J. . Estimation of Camera Parameters in Videos Sequence with a Large Amount of Scene Motion. In: 17th International Conference on Systems, Signals, and Image Processing, 2010, Rio de Janeiro, Brazil. IWSSIP, 2010. p. 348-351.
  89. Santos, J. A. ; Faria, F. ; Calumby, R. T. ; Lamparelli, R. ; TORRES, R. da S. . A Genetic Programming Approach for Coffee Crop Recognition. In: IEEE International Geoscience and Remote Sensing Symposium, 2010, Honolulu, Hawaii, USA. IGARSS, 2010. p. 3418-3421.
  90. Akune, F. ; Valle, E. A. ; TORRES, R. da S. . MONORAIL: A Disk-Friendly Index for Huge Descriptor. In: 20th International Conference on Pattern Recognition, 2010, Istambul, Turquia. ICPR, 2010. p. 4145-4148.
  91. Pedronette, D. C. G. ; TORRES, R. da S. . Distances Correlation for Re-Ranking in Content-Based Image Retrieval. In: 23rd SIBGRAPI ? Conference on Graphics, Patterns and Images, 2010, Gramado, RS. SIBGRAPI 2010, 2010. p. 1-8.
  92. Pedronette, D. C. G. ; TORRES, R. da S. . Exploiting Contextual Information for Image Re-ranking. In: 15th Iberoamerican Congress on Pattern Recognition, 2010, São Paulo, Brasil. CIARP, 2010. p. 541-548.
  93. Kozievitch, N. P. ; TORRES, R. da S. ; Park, S. H. ; Fox, E. A. ; Short, N. ; Abbott, L. ; Misra, S. ; Hsiao, M. . Rethinking Fingerprint Evidence Through Integration of Very Large Digital Libraries. In: Third Workshop on Very Large Digital Libraries, 14th European Conference on Research and Advanced Technologies on Digital Libraries, 2010, Glasgow, Scotland. ECDL, 2010.
  94. Murthy, U. ; Kozievitch, N. P. ; Fox, E. A. ; TORRES, R. da S. ; Hallerm, E. M. . SUPERIDR: A Tablet PC Tool for Image Description and Retrieval. In: Workshop on the Impact of Pen-Based Technology on Education, 2010, Blacksburg, VA. WIPTE, 2010.
  95. Almeida, J. G. A. ; TORRES, R. da S. ; Leite, N. J. . Rapid Video Summarization on Compressed Video. In: IEEE International Symposium on Multimedia, 2010, Taichung, Taiwan. ISM2010, 2010. p. 113-120.
  96. Gil, F. B. ; Kozievitch, N. P. ; TORRES, R. da S. . A Geographic Annotation Service for Biodiversity Systems. In: XI Brazilian Symposium on Geoinformatics, 2010, Campos do Jordão. Geoinfo, 2010. p. 33-44.
  97. Montoya-Zegarra, Javier A. ; Papa, J. P. ; Leite, N. J. ; TORRES, R. da S. ; Falcão, A. X. . Novel Approaches for Exclusive and Continuous Fingerprint Classification. In: 3rd Pacific-Rim Symposium on Image and Video Technology, 2009, Tokyo, Japão. PSIVT, 2009. v. 5414. p. 386-397.
  98. Santos, J. A. ; Lamparelli, R. ; TORRES, R. da S. . Using Relevance Feedback for Classifying Remote Sensing Images. In: Brazilian Remote Sensing Symposium, 2009, Natal, RN. SBSR, 2009. p. 7909-7916.
  99. Murthy, U. ; Fox, E. A. ; Chen, Y. ; Hallerm, E. M. ; TORRES, R. da S. ; Ramos, E. J. ; Falcão, T. R. C. . Superimposed Image Description and Retrieval for Fish Species Identification. In: 13th European Conference on Digital Libraries, 2009, Corfu, Greece. ECDL 2009. Heidelberg: Springer, 2009. v. 5714. p. 285-296.
  100. Santos, K. ; Almeida, H. ; Gonçalves, M. A. ; TORRES, R. da S. . Recuperação de Imagens da Web Utilizando Múltiplas Evidências Textuais e Programação Genética. In: XXIV Simpósio Brasileiro de Banco de Dados, 2009, Fortaleza, CE. SBBD, 2009. p. 91-105.
  101. Almeida, J. G. A. ; Minetto, R. ; Almeida, T. A. ; TORRES, R. da S. ; Leite, N. J. . Robust Estimation of Camera Motion using Optical Flow Models. In: 5th International Symposium on Visual Computing, 2009, Las Vegas, Nevada. ISVC. Heidelberg: Springer Berlin, 2009. v. 5875. p. 435-446.
  102. Almeida, J. G. A. ; Rocha, A. ; TORRES, R. da S. ; Goldenstein, S. K. . Making Colors Worth More than a Thousand Words. In: 23rd Annual ACM Symposium on Applied Computing, 2008, Fortaleza, Brazil. ACM SAC, 2008. p. 1184-1190.
  103. Escalona-Cuaresma, M. J. ; Torres-Zenteno, A. ; Gutierrez, J. ; Martins, E. ; TORRES, R. da S. ; Baranauskas, M. C. . A Development Process for Web Geographic Information System. In: Proceedings of the 10th International Conference on Enterprise Information Systems, 2008, Barcelona. ICEIS, 2008. v. HCI. p. 112-117.
  104. TORRES, R. da S.; Montoya-Zegarra, J. A. ; Santos, J. A. ; Ferreira, C. D. ; Penatti, O. A. B. ; Andaló, F. A. ; Almeida, J. G. A. . Recuperação de Imagens: Desafios e Novos Rumos. In: XXXV Seminário Integrado de Software e Hardware, 2008, Belém. SEMISH, 2008. p. 223-237.
  105. Santos, J. A. ; Ferreira, C. D. ; TORRES, R. da S. . A Genetic Programming Approach for Relevance Feedback in Region-based Image Retrieval Systems. In: XXI Brazilian Symposium on Computer Graphics and Image Processing, 2008, Campo Grande, MS. SIBGRAPI, 2008. p. 155-162.
  106. Penatti, O. A. B. ; TORRES, R. da S. . Color Descriptors for Web Image Retrieval: A Comparative Study. In: XXI Brazilian Symposium on Computer Graphics and Image Processing, 2008, Campo Grande, MS. SIBGRAPI, 2008. p. 163-170.
  107. Rocha, A. ; Almeida, J. G. A. ; Nascimento, M. ; TORRES, R. da S. ; Goldenstein, S. K. . Efficient and Flexible Cluster-and-Search for CBIR. In: Advanced Concepts for Intelligent Vision Systems, 2008, Juan-les-Pins, France. ACVIS, 2008. v. 5259. p. 77-88.
  108. Pedronette, D. C. G. ; TORRES, R. da S. . Uma Plataforma de Serviços de Recomendação para Bibliotecas Digitais. In: XXIII Simposio Brasileiro de Banco de Dados, 2008, Campinas. SBBD, 2008. p. 253-267.
  109. Ferreira, C. D. ; TORRES, R. da S. ; Gonçalves, M. A. ; Fan, W. . Image Retrieval with Relevance Feedback based on Genetic Programming. In: XXIII Simposio Brasileiro de Banco de Dados, 2008, Campinas. SBBD, 2008. p. 120-134.
  110. Montoya-Zegarra, J. A. ; Beeck, J. C. ; Leite, N. J. ; TORRES, R. da S. ; Falcão, A. X. . Combining Global with Local Texture Information for Image Retrieval Applications. In: IEEE International Symposium on Multimedia, 2008, Berkeley, California, USA. ISM, 2008. p. 148-153.
  111. Moreno, M. A. M. ; TORRES, R. da S. . Recuperação de Imagem Utilizando Descritores Baseados em Esqueletos. In: IV Workshop de Visão Computacional, 2008, Bauru. WVC, 2008.
  112. Montoya-Zegarra, J. A. ; Leite, N. J. ; TORRES, R. da S. . Rotation-Invariant and Scale-Invariant Steerable Pyramid Decomposition for Texture Image Retrieval. In: XX Brazilian Symposium on Computer Graphics and Image Processing, 2007, Belo Horizonte. SIBGRAPI, 2007. p. 121-128.
  113. Murthy, U. ; Gorton, D. ; TORRES, R. da S. ; Gonçalves, M. A. ; Fox, E. A. ; L. Delcambre . Extending the 5S Digital Library (DL) Framework: From a Minimal DL towards a DL Reference Model. In: 1st Workshop on Digital Library Foundations, 2007, Vancouver, Canada. ACM IEEE Joint Conference on Digital Libraries, 2007.
  114. Penatti, O. A. B. ; TORRES, R. da S. . Descritor de Relacionamento Espacial baseado em Partições. In: XXVI Concurso de Trabalhos de Iniciação Científica, 2007, Rio de Janeiro. XXVII Congresso da Sociedade Brasileira de Computação, 2007.
  115. Andaló, F. A. ; Miranda, P. ; TORRES, R. da S. ; Falcão, A. X. . A New Shape Descriptor based on Tensor Scale. In: 8th International Symposium on Mathematical Morphology, 2007, Rio de Janeiro. ISMM, 2007. p. 141-152.
  116. Andaló, F. A. ; Miranda, P. ; TORRES, R. da S. ; Falcão, A. X. . Detecting Contour Saliences using Tensor Scale. In: IEEE International Conference on Image Processing, 2007, San Antonio, Texas, USA. ICIP, 2007. p. VI-349-VI-352.
  117. Mariote, L. ; Medeiros, C. B. ; TORRES, R. da S. . Diagnosing Similarity of Oscillation Trends in Time Series. In: International Workshop on Spatial and Spatio-Temporal Data Mining, 2007, Omaha, NE, EUA. SSTDM, 2007. p. 643-648.
  118. Montoya-Zegarra, J. A. ; Papa, J. P. ; Leite, N. J. ; TORRES, R. da S. ; Falcão, A. X. . Rotation-invariant Texture Recognition. In: International Symposium on Visual Computing (ISVC), 2007, Lake Tahoe, Nevada. LNCS, 2007. v. 4842. p. 193-204.
  119. Torres-Zenteno, A. ; Martins, E. ; TORRES, R. da S. ; Escalona-Cuaresma, M. J. . Teste de Desempenho em Aplicações SIG Web. In: IX Workshop Iberoamericano de Ingeniería de Requisitos y Ambientes de Software, 2006, La Plata. IDEAS, 2006. p. 449-462.
  120. Shen, R. ; Vemuri, N. S. ; Fan, W. ; TORRES, R. da S. ; Fox, E. A. . Exploring Digital Libraries: Integrating Browsing, Searching, and Visualization. In: 6th ACM/IEEE-CS Joint Conference on Digital libraries, 2006, Chapel Hill, NC, USA. JCDL, 2006. p. 1-10.
  121. Miranda, P. ; TORRES, R. da S. ; Falcão, A. X. . TSD: A Shape Descriptor Based on a Distribution of Tensor Scale Local Orientation. In: XVIII Brazilian Symposium on Computer Graphics and Image Processing, 2005, Natal, RN, Brazil. SIBGRAPI, 2005. p. 139-146.
  122. Freitas, R. B. ; TORRES, R. da S. . OntoSAIA: Um ambiente Baseado em Ontologias para Recuperação e Anotação Semi-Automática de Imagens. In: Primeiro Workshop de Bibliotecas Digitais, 2005, Uberlâmdia. XX Simpósio Brasileiro de Banco de Dados, 2005. p. 60-79.
  123. TORRES, R. da S.; Picado, E. M. ; Falcão, A. X. ; Costa, L. da F. . Effective Image Retrieval by Shape Saliences. In: XVI Brazilian Symposium on Computer Graphics and Image Processing, 2003, São Carlos, SP. SIBGRAPI, 2003. p. 167-174.
  124. TORRES, R. da S.; Silva, C. G. ; Medeiros, C. B. ; Rocha, H. V. . Visual Structures for Image Browsing. In: 12th International Conference on Information and Knowledge Management, 2003, New Orleans, Lousiana, USA. CIKM. New York, NY, USA: ACM Press, 2003. p. 49-55.
  125. TORRES, R. da S.; Falcão, A. X. ; Costa, L. da F. . Shape Description by Image Foresting Transform. In: 14th International Conference on Digital Signal Processing, 2002, Santorini. DSP, 2002. v. 2. p. 1089-1092.


Siome Goldenstein

  1. GRIJALVA, F. ; MARTINI, L. ; GOLDENSTEIN, S. ; FLORENCIO, D. . Anthropometric-Based Customization of Head-related Transfer Functions using Isomap in the Horizontal Plane. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014, Florença. Proc of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014.
  2. SILVA, F. ; GOLDENSTEIN, S. ; TABBONE, S. ; TORRES, R. . Image Classification based on Bag of Visual Graphs. In: IEEE Intl. Conference on Image Processing (ICIP), 2013. Proc. of the IEEE Intl. Conf. on Image Processing (ICIP), 2013.
  3. Jelinek, H. ; Pires, Ramon ; Padilha, Rafael ; GOLDENSTEIN, S. ; Wainer, Jacques ; ROCHA, Anderson . Quality Control and Multi-Lesion Detection in Automated Retinopathy Classification Using a Visual Words Dictionary. In: IEEE Engineering in Medicine and Biology Society (EMBS), 2013. Proc. of the IEEE Engineering in Medicine and Biology Society (EMBS), 2013.
  4. SENDIN, I. ; GOLDENSTEIN, S. . Protein Structure Determination with Imprecise Distances. In: Workshop on Distance Geometry and Applications, 2013. Proc. of the Workshop on Distance Geometry and Applications, 2013.
  5. ESCALANTE, DIEGO ALONSO CHAVEZ ; TAUBIN, GABRIEL ; NONATO, LUIS GUSTAVO ; GOLDENSTEIN, SIOME KLEIN . Using Unsupervised Learning for Graph Construction in Semi-supervised Learning with Graphs. In: 2013 XXVI SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2013, Arequipa. 2013 XXVI Conference on Graphics, Patterns and Images, 2013. p. 24.
  6. MORAIS, E. ; ROCHA, Anderson ; Goldenstein, Siome . Automatic Localization of Indoor Soccer Players from Multiple Cameras. In: VISAPP, 2012, Barcelona. Proc. of VISAPP, 2012.
  7. Jelinek, Herbert F. ; Pires, Ramon ; Padilha, Rafael ; Goldenstein, Siome ; Wainer, Jacques ; Bossomaier, Terry ; ROCHA, Anderson . Data fusion for multi-lesion Diabetic Retinopathy detection. In: 2012 25th IEEE International Symposium on ComputerBased Medical Systems (CBMS), 2012, Rome. 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2012.
  8. SENDIN, I. ; Goldenstein, Siome ; LAVOR, C. . Protein Structure Reconstruction with Data Uncertainties. In: UNCERTAINTIES, 2012. Proc. of UNCERTAINTIES.
  9. ANDALO, F. ; TAUBIN, G. ; GOLDENSTEIN, S. . Solving Image Puzzles with a Quadratic Programming Formulation. In: SIBGRAPI, 2012, Ouro Preto. Proc. of SIBGRAPI, 2012.
  10. MORAIS, E. ; GOLDENSTEIN, S. ; FERREIRA, A. ; ROCHA, Anderson . Automatic tracking of indoor soccer players using videos from multiple cameras. In: SIBGRAPI, 2012, Ouro Preto. Proc. of SIBGRAPI, 2012.
  11. RIBEIRO, F. ; ARAUJO, G. ; SILVA, E. ; OLIVEIRA, J. ; GOLDENSTEIN, S. . Detecção de Pontos Fiduciais sobre a Face em Tempo Real. In: SBRT, 2012, Brasilia. Anais do SBRT, 2012.
  12. SABOIA, P. ; GOLDENSTEIN, S. . Crowd Simulation: Improving Pedestrians’ Dynamics by the Application of Lattice-Gas Concepts to the Social Force Model.. In: Brazilian Symposium of Computer Graphics and Image Processing (SIBGRAPI), 2011. Brazilian Symposium of Computer Graphics and Image Processing (SIBGRAPI), 2011.
  13. ARAUJO, G. ; SABINO, W. ; SILVA, E. ; GOLDENSTEIN, S. . Detecção de Landmarks Faciais Usando SVM. In: Simpósio Brasileiro de Telecomunicações (SBrT), 2011. Simpósio Brasileiro de Telecomunicações (SBrT), 2011.
  14. Jelinek, H. ; ROCHA, Anderson ; Carvalho, T. ; GOLDENSTEIN, S. ; WAINER, J. . Machine Learning and Pattern Classification in Identification of Indigenous Retinal Pathology. In: Conference of the IEEE Engineering in Medicine and Biology Society,, 2011. Conference of the IEEE Engineering in Medicine and Biology Society,, 2011.
  15. DIAS, Z. ; ROCHA, Anderson ; GOLDENSTEIN, S. . Video Phylogeny: Recovering Near-Duplicate Video Relationships. In: IEEE Workshop on Information Forensics and Security (WIFS), 2011. IEEE Workshop on Information Forensics and Security (WIFS), 2011.
  16. ANDALO, F. ; Calakli, F. ; TAUBIN, G. ; GOLDENSTEIN, S. . Accurate 3D Footwear Impression Recovery From Photographs. In: International Conference on Imaging for Crime Detection and Prevention,, 2011. International Conference on Imaging for Crime Detection and Prevention,, 2011.
  17. SABINO, W. ; ARAUJO, G. ; SILVA, E. ; GOLDENSTEIN, S. . Facial Fiducial Points Detection Using Discriminative Filtering on Principal Components.. In: International Conference on Image Processing (ICIP), 2010, Hong Kong. Proceedings of ICIP, 2010.
  18. ARAUJO, G. ; SABINO, W. ; SILVA, E. ; GOLDENSTEIN, S. . Facial Landmarks Detection Based on Correlation Filters.. In: International Telecommunications Symposium, 2010. International Telecommunications Symposium.
  19. ANDALO, F. ; TAUBIN, G. ; GOLDENSTEIN, S. . Vanishing Point Detection by Segment Clustering on the Projective Space. In: Workshop on Reconstruction and Modeling of Large-Scale 3D Virtual Environments, In conjunction with ECCV, 2010. Workshop on Reconstruction and Modeling of Large-Scale 3D Virtual Environments, In conjunction with ECCV, 2010.
  20. DIAS, Z. ; ROCHA, Anderson ; GOLDENSTEIN, S. . First Steps Toward Image Phylogeny. In: IEEE Workshop on Information Forensics and Security, 2010, Seattle. Proceedings of the IEEE Workshop on Information Forensics and Security, 2010. p. 1-6.
  21. ANDALO, F. ; TAUBIN, G. ; GOLDENSTEIN, S. . Detetecting Vanishing Points by Segment Clustering on the Projective Plane for Single-View Photogrammetry. In: IEEE Workshop on Information Forensics and Security, 2010, Seattle. Proceedings of the IEEE Workshop on Information Forensics and Security, 2010. p. 7-12.
  22. ROCHA, Anderson ; GOLDENSTEIN, S. . Multi-class from Binary – Divide to conquer. In: VISAPP, 2009, Lisboa. Proceedings of VISAPP, 2009. v. 1. p. 323-330.
  23. Roman, N ; FERREIRA, C. D. ; MEIRA, L. ; REZENDE, R. C. ; Digiampietri, L. ; Jambeiro, J ; KONDO, A. A. ; BRANDÃO, B. C. ; Constantino, E ; Ribeiro, H ; WAINER, J. ; GOLDENSTEIN, S. . Attribute-Value Specification in Customs Fraud Detection: A Human-Aided Approach.. In: International Conference on Digital Government Research (dg.o), 2009, Cidade do México. Proc. of the 10th Annual International Conference on Digital Government Research (dg.o), 2009. p. 264-271.
  24. GOLDENSTEIN, S.; ROCHA, Anderson . High-Profile Forensic Analysis of Image. In: 3rd International Conference on Imaging for Crime Detection and Prevention, 2009, Londres. Proc. of the 3rd International Conference on Imaging for Crime Detection and Prevention, 2009. p. 1-1.
  25. Digiampietri, L. ; Roman, N ; MEIRA, L. ; Jambeiro, J ; FERREIRA, C. D. ; KONDO, A. A. ; REZENDE, R. C. ; Constantino, E ; BRANDÃO, B. C. ; Ribeiro, H ; CAROLINO, P. K. ; Lanna, A ; WAINER, J. ; GOLDENSTEIN, S. . Uses of Artificial Intelligence in the Brazilian Customs Fraud Detection System.. In: 9th Annual International Conference on Digital Government Research (dg.o), 2008, Montreal. Proceedings of the 9th Annual International Conference on Digital Government Research (dg.o), 2008.
  26. GOES, Fernando de ; GOLDENSTEIN, S. ; VELHO, Luiz . A Hierarchical Segmentation of Articulated Bodies. In: Proceedings of Eurographics Symposium on Geometry Processing (SGP), 2008, Copenhagen. (Appeared as an article in the CGF Journal – see journals), 2008.
  27. ALMEIDA JUNIOR, J. G. DE ; ROCHA, A. DE R. ; TORRES, R. ; GOLDENSTEIN, S. . Colors Worth More than a Thousand Words. In: 23rd Annual ACM Symposium on Applied Computing – ACM-SAC, 2008, Fortaleza, Ceará. Proc. of the 23rd Annual ACM Symposium on Applied Computing – ACM-SAC, 2008.
  28. ROCHA, A. DE R. ; Scheirer, W. ; GOLDENSTEIN, S. ; Boult, Terrance . The Unseen Challenge Data Sets.. In: 1st IEEE Workitorial of Vision of the Unseen (WVU), 2008, Anchorage, AK. Proc. 1st IEEE Workitorial of Vision of the Unseen, 2008.
  29. Sak, T. ; WAINER, J. ; GOLDENSTEIN, S. . Probabilistic Multiagent Patrolling.. In: Simpósio Brasileiro de Inteligência Artificial (SBIA), 2008, Salvador. Proc. Simpósio Brasileiro de Inteligência Artificial, 2008.
  30. ROCHA, A. DE R. ; ALMEIDA JUNIOR, J. G. DE ; Nascimento, M. A. ; TORRES, R. ; GOLDENSTEIN, S. . Efficient and Flexible Cluster-and-Search for CBIR.. In: Advanced Concepts for Intelligent Vision Systems (ACIVS), 2008. Proceedings of Advanced Concepts for Intelligent Vision Systems, 2008.
  31. ROCHA, Anderson ; HAUAGGE, D. ; WAINER, J. ; GOLDENSTEIN, S. . Automatic produce classification from images using color, texture and appearance cues.. In: PBrazilian Symposium of Computer Graphics and Image Processing (SIBGRAPI), 2008, Campo Grande, MS. Proc. of the Brazilian Symposium of Computer Graphics and Image Processing, 2008.
  32. ROCHA, Anderson ; GOLDENSTEIN, S. . PR: More than Meets the Eye. In: IEEE International Conference on Computer Vision, 2007, Rio de Janeiro, Brazil. IEEE International Conference on Computer Vision, 2007.
  33. VOGLER, Christian ; Li, Zhiguo ; Kanaujia, Atul ; GOLDENSTEIN, S. ; METAXAS, Dimitris . The Best of Both Worlds: Combining 3D Deformable Models with Active Shape Models.. In: IEEE International Conference on Computer Vision, 2007, Rio de Janeiro, Brazil. IEEE International Conference on Computer Vision, 2007.
  34. GOES, Fernando de ; Bergo, F ; FALCAO, A. X. ; GOLDENSTEIN, S. ; VELHO, Luiz . Adapted Dynamic Meshes for Deformable Surfaces.. In: Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 2006, Manaus. Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 2006. p. 213-220.
  35. DORINI, L. B. ; GOLDENSTEIN, S. . Unscented KLT: nonlinear feature and uncertainty tracking. In: Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 2006, Manaus. Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 2006. p. 187-193.
  36. BRANDÃO, B. C. ; WAINER, J. ; GOLDENSTEIN, S. . Subspace Hierarchical Particle Filter. In: Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 2006, Manaus. Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 2006. p. 194-204.
  37. ROCHA, A. DE R. ; GOLDENSTEIN, S. . Progressive Randomization for Steganalysis.. In: IEEE 8th Workshop on Multimedia Signal Processing (MMSP), 2006. IEEE 8th Workshop on Multimedia Signal Processing (MMSP), 2006. p. 314-419.
  38. GOLDENSTEIN, S.; VOGLER, Christian . When Occlusions are Outliers. In: IEEE Workshop 25 Years of RANSAC – With CVPR 2006, 2006, New York City. Proceedings of CVPR 2006 Workshops, 2006.
  39. VOGLER, Christian ; GOLDENSTEIN, S. . Analysis of Facial Expressions in American Sign Language.. In: 3rd International Conference on Universal Access in Human-Computer Interaction, 2005, Las Vegas. Proceedings of the 3rd International Conference on Universal Access in Human-Computer Interaction, 2005.
  40. GOLDENSTEIN, S.; VOGLER, Christian ; STOLFI, J. ; PAVLOVIC, V. ; METAXAS, Dimitris . Outlier Rejection in Deformable Model Tracking. In: IEEE Workshop on Articulated and Nonrigid Motion, 2004, Washington, DC. IEEE Workshop on Articulated and Nonrigid Motion, 2004.
  41. GOLDENSTEIN, S.; VOGLER, Christian ; METAXAS, Dimitris . 3D Facial Tracking from Corrupted Movie Sequences. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2004, Washington, DC. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2004.
  42. GOLDENSTEIN, S.; VOGLER, Christian ; VELHO, Luiz . Adaptive Deformable Models. In: XVII Brazilian Symposium on Computer Graphics and Image Processing, 2004, Curitiba, PR. XVII Brazilian Symposium on Computer Graphics and Image Processing, 2004.
  43. ROCHA, Anderson ; GOLDENSTEIN, S. ; COSTA, Heitor Augustus Xavier ; CHAVES, Lucas Monteiro . Camaleão: privacidade e segurança na internet por esteganografia em imagens. In: WEBMEDIA & LA-WEB – SOFTWARE AND TOOLS, 2004, Ribeirão Preto. Proceedings of the Webmedia & LA-Web 2004 Joint Conference, 2004. v. II. p. 317-318.
  44. ROCHA, Anderson ; GOLDENSTEIN, S. ; COSTA, Heitor Augustus Xavier ; CHAVES, Lucas Monteiro . Camaleão: um software de esteganografia para proteção e privacidade digital.. In: SIMPÓSIO SEGURANÇA EM INFORMÁTICA, 2004, São José dos Campos. Anais do 6º Simpósio de Segurança em Informática, 2004.
  45. ROCHA, Anderson ; GOLDENSTEIN, S. ; COSTA, Heitor Augustus Xavier ; CHAVES, Lucas Monteiro . Segurança e privacidade na internet por esteganografia em imagens. In: WEBMEDIA & LA-WEB, 2004, Ribeirão Preto. Proceedings of the Webmedia & LA-Web 2004 Joint Conference, 2004. v. II. p. 379-381.
  46. GOLDENSTEIN, S.; VOGLER, Christian ; METAXAS, Dimitris . Directed Acyclic Graph Representation of Deformable Models. In: IEEE Workshop on Motion and Video Computing, 2002, Orlando. Proceedings of the WMVC 2002, 2002. p. 84-89.
  47. GOLDENSTEIN, S.; VOGLER, Christian ; METAXAS, Dimitris . Affine Arithmetic Based Estimation of Cue Distributions in Deformable Model Tracking. In: IEEE Conference in Computer Vision and Pattern Recognition, 2001. Proceedings of CVPR 2001, 2001. v. 1. p. 1098-1105.
  48. GOLDENSTEIN, S.; KARAVELAS, Menelaos ; METAXAS, Dimitris ; GUIBAS, Leonidas ; GOSWAMI, Ambarish . Scalable Dynamical Systems for Multi-Agent Steering and Simulation. In: IEEE Conference in Robotics and Automation, 2001. Proceedings of ICRA 2001, 2001. v. 4. p. 3973-3780.
  49. SILVA, Fernando ; VELHO, Luiz ; GOMES, Jonas ; GOLDENSTEIN, S. . Motion Processing Using Variable Harmonic Components. In: Computer Animation, 2000. Proceedings of CA 2000, 2000. p. 62-70.
  50. GOLDENSTEIN, S.; METAXAS, Dimitris ; LARGE, Edward . Nonlinear Dynamic Systems for Autonomous Agents Navigation. In: American Association on Artificial Inteligence SS, 2000. Proceedings of AAAI SS 2000, 2000.
  51. SILVA, Fernando ; VELHO, Luiz ; GOMES, Jonas ; GOLDENSTEIN, S. . Motion Cyclification by Time X Frequency Warping. In: Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 1999. Proceedings of SIBGRAPI ’99, 1999. p. 49-58.
  52. GOLDENSTEIN, S.; GOMES, Jonas . Time Warping of Audio Signals. In: Computer Graphics International, 1999. Proceedings of CGI’99, 1999. p. 52-57.
  53. GOLDENSTEIN, S.; LARGE, Edward ; METAXAS, Dimitris . Dynamical Autonomous Agents: Game Applications. In: Computer Animation, 1998. Proceedings of CA’98, 1998. p. 25-31.
  54. GOLDENSTEIN, S.; CARVALHO, Paulo Cezar P ; FIGUEIREDO, Luiz Henrique de . IG: Um sistema de Contruções Geométricas com Vínculos. In: Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 1995. Anais do SIBGRAPI ’95, 1995.


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