Journals

Anderson Rocha

  1. DELAFIORI, JEANY NAVARRO, LUIZ CLÁUDIO SICILIANO, RINALDO FOCACCIA DE MELO, GISELY CARDOSO BUSANELLO, ESTELA NATACHA BRANDT NICOLAU, JOSÉ CARLOS SALES, GEOVANA MANZAN DE OLIVEIRA, ARTHUR NOIN VAL, FERNANDO FONSECA ALMEIDA DE OLIVEIRA, DIOGO NOIN EGUTI, ADRIANA DOS SANTOS, LUIZ AUGUSTO DALÇÓQUIO, TALIA FALCÃO BERTOLIN, ADRIADNE JUSTI ABREU-NETTO, REBECA LINHARES SALSOSO, ROCIO BAÍA-DA-SILVA, DJANE MARCONDES-BRAGA, FABIANA G SAMPAIO, VANDERSON SOUZA JUDICE, CARLA CRISTINA COSTA, FABIO TRINDADE MARANHÃO DURÁN, NELSON PERROUD, MAURICIO WESLEY SABINO, ESTER CERDEIRA LACERDA, MARCUS VINICIUS GUIMARÃES , et al. ; Covid-19 Automated Diagnosis and Risk Assessment through Metabolomics and Machine Learning. ANALYTICAL CHEMISTRY, v. 93, p. 2471-2479, 2021.
  2. DIAS-AUDIBERT, FLÁVIA LUÍSA ; NAVARRO, LUIZ CLAUDIO ; DE OLIVEIRA, DIOGO NOIN ; DELAFIORI, JEANY ; MELO, CARLOS FERNANDO ODIR RODRIGUES ; GUERREIRO, TATIANE MELINA ; ROSA, FLÁVIA TRONCON ; PETENUCI, DIEGO LIMA ; WATANABE, MARIA ANGELICA EHARA ; VELLOSO, LICIO AUGUSTO ; ROCHA, ANDERSON REZENDE ; CATHARINO, RODRIGO RAMOS . Combining Machine Learning and Metabolomics to Identify Weight Gain Biomarkers. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, v. 8, p. 1-11, 2020.
  3. FOLEGO, GUILHERME ; WEILER, Marina ; CASSEB, R. F. ; PIRES, Ramon ; ROCHA, Anderson . Alzheimer’s Disease Detection Through Whole-Brain 3D-CNN MRI. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, v. 8, p. 1193-1207, 2020.
  4. SANTOS, GEISE ; PISANI, PAULO HENRIQUE ; LEYVA, Roberto ; LI, Chang-Tsun ; TAVARES, TIAGO ; ROCHA, ANDERSON . Manifold learning for user profiling and identity verification using motion sensors. PATTERN RECOGNITION, v. 106, p. 107408-16, 2020.
  5. LIMA, ESTELA DE OLIVEIRA ; NAVARRO, LUIZ CLAUDIO ; MORISHITA, KAREN NODA ; KAMIKAWA, CAMILA MIKA ; RODRIGUES, RAFAEL GUSTAVO MARTINS ; DABAJA, MOHAMED ZIAD ; DE OLIVEIRA, DIOGO NOIN ; DELAFIORI, JEANY ; DIAS-AUDIBERT, FLÁVIA LUÍSA ; RIBEIRO, MARTA DA SILVA ; VICENTINI, ADRIANA PARDINI ; ROCHA, ANDERSON ; CATHARINO, RODRIGO RAMOS . Metabolomics and Machine Learning Approaches Combined in Pursuit for More Accurate Paracoccidioidomycosis Diagnoses. mSystems, v. 5, p. 1-12, 2020.
  6. LI, HAOLIANG ; WANG, SHIQI ; HE, PEISONG ; ROCHA, ANDERSON . Face Anti-Spoofing With Deep Neural Network Distillation. IEEE Journal of Selected Topics in Signal Processing, v. 14, p. 933-946, 2020.
  7. PADILHA, Rafael ; MAZINI, CAROLINE ; ANDALO, FERNANDA ALCANTARA ; BERTOCCO, Gabriel ; DIAS, Zanoni ; ROCHA, ANDERSON . Forensic Event Analysis: From Seemingly Unrelated Data to Understanding. IEEE SECURITY & PRIVACY, v. 18, p. 23-32, 2020.
  8. PINTO, ALLAN ; GOLDENSTEIN, Siome ; FERREIRA, ALEXANDRE ; CARVALHO, Tiago ; PEDRINI, HELIO ; ROCHA, ANDERSON . Leveraging Shape, Reflectance and Albedo From Shading for Face Presentation Attack Detection. IEEE Transactions on Information Forensics and Security, v. 15, p. 3347-3358, 2020.
  9. CAVALCANTE, CRISTINA C.B. ; MASCHIO, CÉLIO ; SCHIOZER, Denis ; ROCHA, ANDERSON . A stochastic learning-from-data approach to the history-matching problem. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, v. 94, p. 103767, 2020.
  10. PADILHA, Rafael ; ANDALÓ, FERNANDA A. ; BERTOCCO, Gabriel ; ALMEIDA, WALDIR R. ; DIAS, William ; RESEK, Thiago ; TORRES, RICARDO DA S. ; Wainer, Jacques ; ROCHA, ANDERSON . Two-tiered face verification with low-memory footprint for mobile devices. IET Biometrics, v. 9, p. 205-215, 2020.
  11. ROCHA, ANDERSON. The Information Forensics and Security Technical Committee: Then, Now, and in the Future [In the Spotlight]. IEEE SIGNAL PROCESSING MAGAZINE, v. 37, p. 175-176, 2020.
  12. ALMEIDA, WALDIR R. ; ANDALÓ, FERNANDA A. ; PADILHA, Rafael ; BERTOCCO, Gabriel ; DIAS, William ; TORRES, RICARDO DA S. ; Wainer, Jacques ; ROCHA, ANDERSON . Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function. PLoS One, v. 15, p. e0238058-24, 2020.
  13. VERDE, SEBASTIANO ; RESEK, Thiago ; MILANI, SIMONE ; ROCHA, ANDERSON . Ground-to-Aerial Viewpoint Localization via Landmark Graphs Matching. IEEE SIGNAL PROCESSING LETTERS, v. 27, p. 1490-1494, 2020.
  14. SORIANO-VARGAS, A. ; ROLLMANN, Klaus ; ALMEIDA, Forlan ; DAVOLIO, Alessandra ; HAMANN, Bernd ; SCHIOZER, Denis ; ROCHA, Anderson . A synthetic case study of measuring the misfit between 4D seismic data and numerical reservoir simulation models through the Momenta Tree. COMPUTERS & GEOSCIENCES, v. 145, p. 104617, 2020.
  15. FERREIRA, ALEXANDRE ; CARVALHO, Tiago ; ANDALO, Fernanda A. ; ROCHA, ANDERSON . Counteracting the contemporaneous proliferation of digital forgeries and fake news. ANAIS DA ACADEMIA BRASILEIRA DE CIÊNCIAS (ONLINE), v. 91, p. e20180149, 2019.
  16. KUEHLKAMP, ANDREY ; PINTO, ALLAN ; ROCHA, ANDERSON ; BOWYER, KEVIN W. ; CZAJKA, ADAM . Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection. IEEE Transactions on Information Forensics and Security, v. 14, p. 1419-1431, 2019.
  17. PIRES, Ramon ; AVILA, SANDRA ; Wainer, Jacques ; VALLE, Eduardo ; ABRAMOFF, MICHAEL D. ; ROCHA, ANDERSON . A Data-driven Approach to Referable Diabetic Retinopathy Detection. ARTIFICIAL INTELLIGENCE IN MEDICINE, v. 96, p. 93-106, 2019.
  18. OLIVEIRA, Alberto ; OAKLEY, Eric ; DA SILVA TORRES, RICARDO ; ROCHA, ANDERSON . Relevance prediction in similarity-search systems using extreme value theory. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 60, p. 236-249, 2019.
  19. FERREIRA, ANSELMO ; FELIPUSSI, SIOVANI C. ; PIRES, Ramon ; AVILA, SANDRA ; SANTOS, GEISE ; LAMBERT, JORGE ; HUANG, Jiwu ; ROCHA, ANDERSON . Eyes in the Skies: A Data-Driven Fusion Approach to Identifying Drug Crops From Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 12, p. 4773-4786, 2019.
  20. JUNIOR, PEDRO RIBEIRO MENDES ; BONDI, Luca ; BESTAGINI, Paolo ; TUBARO, Stefano ; ROCHA, ANDERSON . An In-Depth Study on Open-Set Camera Model Identification. IEEE Access, v. 7, p. 180713-180726, 2019.
  21. CAVALCANTE, CRISTINA C. B. ; MASCHIO, CÉLIO ; SANTOS, Antonio Alberto ; SCHIOZER, Denis ; ROCHA, ANDERSON . A continuous learning algorithm for history matching. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, v. 85, p. 543-568, 2019.
  22. WERNECK, Rafael de Oliveira ; DE ALMEIDA, WALDIR RODRIGUES ; STEIN, BERNARDO VECCHIA ; PAZINATO, Daniel Vatanabe ; JÚNIOR, PEDRO RIBEIRO MENDES ; PENATTI, OTÁVIO AUGUSTO BIZETTO ; ROCHA, ANDERSON ; TORRES, RICARDO DA SILVA . Kuaa: A unified framework for design, deployment, execution, and recommendation of machine learning experiments. Future Generation Computer Systems, v. 78, p. 59-76, 2018.
  23. MOREIRA, D. H. ; BHARATI, Aparna ; PINTO, ALLAN ; PAROWSKI, Michael ; BOWYER, Kevin ; FLYNN, Patrick ; ROCHA, Anderson ; SCHEIRER, Walter J. . Image Provenance Analysis at Scale. IEEE TRANSACTIONS ON IMAGE PROCESSING, v. 27, p. 6109-6123, 2018.
  24. SHEN, Bingyu ; FORSTALL, Christopher W. ; ROCHA, Anderson ; SCHEIRER, Walter J. . Practical Text Phylogeny for Real-World Settings. IEEE Access, v. 6, p. 41002-41012, 2018.
  25. NAVARRO, LUIZ ; NAVARRO, Alexandre K. W. ; GREGIO, Andre ; ROCHA, ANDERSON ; DAHAB, Ricardo . Leveraging Ontologies and Machine-learning Techniques for Malware Analysis into Android Permissions Ecosystems. COMPUTERS & SECURITY, v. 78, p. 429-453, 2018.
  26. MOREIRA, Daniel ; AVILA, SANDRA ; PEREZ, MAURICIO ; MORAES, Daniel ; TESTONI, Vanessa ; VALLE, Eduardo ; Goldenstein, Siome ; ROCHA, ANDERSON . Multimodal Data Fusion for Sensitive Scene Localization. Information Fusion, v. 45, p. 307-323, 2018.
  27. MELO, CARLOS FERNANDO ODIR RODRIGUES NAVARRO, LUIZ CLAUDIO DE OLIVEIRA, DIOGO NOIN GUERREIRO, TATIANE MELINA LIMA, ESTELA DE OLIVEIRA DELAFIORI, JEANY DABAJA, MOHAMED ZIAD RIBEIRO, MARTA DA SILVA DE MENEZES, MAICO RODRIGUES, RAFAEL GUSTAVO MARTINS MORISHITA, KAREN NODA ESTEVES, CIBELE ZANARDI DE AMORIM, ALINE LOPES LUCAS AOYAGUI, CAROLINE TIEMI PARISE, PIERINA LORENCINI MILANEZ, GUILHERME PAIER DO NASCIMENTO, GABRIELA MANSANO RIBAS FREITAS, ANDRÉ RICARDO ANGERAMI, RODRIGO COSTA, FÁBIO TRINDADE MARANHÃO ARNS, CLARICE WEIS RESENDE, MARIANGELA RIBEIRO AMARAL, ELIANA JUNIOR, RENATO PASSINI RIBEIRO-DO-VALLE, CAROLINA C. , et al. ; A Machine Learning Application Based in Random Forest for Integrating Mass Spectrometry-Based Metabolomic Data: A Simple Screening Method for Patients With Zika Virus. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, v. 6, p. 1-11, 2018.
  28. NEIRA, MANUEL A. CORDOVA ; JUNIOR, PEDRO R. MENDES ; ROCHA, ANDERSON ; TORRES, RICARDO DA S. . Data-Fusion Techniques for Open-set Recognition Problems. IEEE Access, v. 6, p. 1-1, 2018.
  29. NAVARRO, LUIZ C. ; NAVARRO, ALEXANDRE K.W. ; ROCHA, ANDERSON ; DAHAB, Ricardo . Connecting the dots: Toward accountable machine-learning printer attribution methods. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 53, p. 257-272, 2018.
  30. ROCHA, ANDERSON; LI, SHUJUN ; KUO, C.-C. JAY ; PIVA, Alessandro ; HUANG, Jiwu . Data-driven multimedia forensics and security. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 55, p. 447-448, 2018.
  31. LI, HAOLIANG ; HE, PEISONG ; WANG, SHIQI ; ROCHA, ANDERSON ; JIANG, XINGHAO ; KOT, ALEX C. . Learning Generalized Deep Feature Representation for Face Anti-Spoofing. IEEE Transactions on Information Forensics and Security, v. 13, p. 2639-2652, 2018.
  32. SEABRA OLIVEIRA, DANIELA ; EPSTEIN, JEREMY ; KUROSE, JAMES ; ROCHA, ANDERSON . Cybersecurity and Privacy Issues in Brazil: Back, Now, and Then [Guest Editors’ Introduction]. IEEE SECURITY & PRIVACY, v. 16, p. 10-12, 2018.
  33. ROCHA, ANDERSON; SCHEIRER, Walter J. ; FORSTALL, Christopher W. ; CAVALCANTE, Thiago ; THEOPHILO, ANTONIO ; SHEN, Bingyu ; CARVALHO, ARIADNE R. B. ; STAMATATOS, Efstathios . Authorship Attribution for Social Media Forensics. IEEE Transactions on Information Forensics and Security, v. 12, p. 5-33, 2017.
  34. RUPPERT, GUILHERME C.S. ; CHIACHIA, Giovani ; BERGO, FELIPE P.G. ; FAVRETTO, FERNANDA O. ; YASUDA, CLARISSA L. ; ROCHA, ANDERSON ; FALCÃO, Alexandre X. . Medical image registration based on watershed transform from greyscale marker and multi-scale parameter search. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, v. 5, p. 138-156, 2017.
  35. MENDES JÚNIOR, PEDRO R. ; DE SOUZA, ROBERTO M. ; WERNECK, RAFAEL DE O. ; STEIN, BERNARDO V. ; PAZINATO, DANIEL V. ; DE ALMEIDA, WALDIR R. ; PENATTI, OTÁVIO A. B. ; TORRES, RICARDO DA S. ; ROCHA, ANDERSON . Nearest neighbors distance ratio open-set classifier. Machine Learning (Dordrecht. Online), v. 106, p. 359-386, 2017.
  36. PIRES, Ramon ; AVILA, SANDRA ; JELINEK, Herbert F. ; Wainer, Jacques ; VALLE, Eduardo ; ROCHA, ANDERSON . Beyond Lesion-Based Diabetic Retinopathy: A Direct Approach for Referral. IEEE Journal of Biomedical and Health Informatics, v. 21, p. 193-200, 2017.
  37. COSTA, FILIPE DE O. ; OLIVEIRA, Alberto ; FERRARA, Pasquale ; DIAS, ZANONI ; Goldenstein, Siome ; ROCHA, ANDERSON . New dissimilarity measures for image phylogeny reconstruction. PATTERN ANALYSIS AND APPLICATIONS, p. 1-17, 2017.
  38. FERREIRA, ANSELMO ; BONDI, Luca ; BAROFFIO, Luca ; BESTAGINI, Paolo ; HUANG, Jiwu ; DOS SANTOS, JEFERSSON A. ; TUBARO, Stefano ; ROCHA, ANDERSON . Data-Driven Feature Characterization Techniques for Laser Printer Attribution. IEEE Transactions on Information Forensics and Security, v. 12, p. 1860-1873, 2017.
  39. CAVALCANTE, CRISTINA C. B. ; MASCHIO, CÉLIO ; SANTOS, Antonio Alberto ; SCHIOZER, Denis ; ROCHA, ANDERSON . History matching through dynamic decision-making. PLoS One, v. 12, p. e0178507-e0178507:32, 2017.
  40. FERREIRA, ALEXANDRE ; SANTOS, GEISE ; ROCHA, ANDERSON ; GOLDENSTEIN, Siome . User-Centric Coordinates for Applications Leveraging 3-Axis Accelerometer Data. IEEE SENSORS JOURNAL, v. 17, p. 5231-5243, 2017.
  41. SEIBEL, HILARIO ; GOLDENSTEIN, Siome ; ROCHA, ANDERSON . Eyes on the Target: Super-Resolution and License-Plate Recognition in Low-Quality Surveillance Videos. IEEE Access, v. 5, p. 20020-20035, 2017.
  42. VITORINO, Paulo ; AVILA, Sandra Eliza Fontes ; PEREZ, Mauricio L. ; ROCHA, ANDERSON . Leveraging Deep Neural Networks to Fight Child Pornography in the Age of Social Media. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, p. 303-313, 2017.
  43. OLIVEIRA, Alberto ; FERRARA, Pasquale ; DE ROSA, Alessia ; PIVA, Alessandro ; BARNI, Mauro ; Siome Goldenstein ; DIAS, Zanoni ; ROCHA, ANDERSON . Multiple Parenting Phylogeny Relationships in Digital Images. IEEE Transactions on Information Forensics and Security, v. 11, p. 328-343, 2016.
  44. PAZINATO, DANIEL V. ; STEIN, BERNARDO V. ; DE ALMEIDA, WALDIR R. ; DE O. WERNECK, RAFAEL ; JUNIOR, PEDRO R. MENDES ; PENATTI, OTAVIO A. B. ; TORRES, RICARDO DA S. ; MENEZES, FABIO H. ; ROCHA, ANDERSON . Pixel-Level Tissue Classification for Ultrasound Images. IEEE J BIOMED HEALTH, v. 20, p. 256-267, 2016.
  45. OIKAWA, Marina A. ; DIAS, Zanoni ; DE REZENDE ROCHA, ANDERSON ; GOLDENSTEIN, Siome . Manifold Learning and Spectral Clustering for Image Phylogeny Forests. IEEE Transactions on Information Forensics and Security, v. 11, p. 5-18, 2016.
  46. BONDI, Luca ; BAROFFIO, Luca ; CESANA, Matteo ; TAGLIASACCHI, Marco ; CHIACHIA, Giovani ; ROCHA, ANDERSON . Rate-energy-accuracy optimization of convolutional architectures for face recognition. Journal of Visual Communication and Image Representation (Print), v. 36, p. 142-148, 2016.
  47. CARVALHO, Tiago ; FARIA, FABIO ; PEDRINI, HELIO ; TORRES, Ricardo ; ROCHA, ANDERSON . Illuminant-based Transformed Spaces for Image Forensics. IEEE Transactions on Information Forensics and Security, v. 11, p. 1-1, 2016.
  48. FERREIRA, ANSELMO ; DOS SANTOS, JEFERSSON A. ; ROCHA, ANDERSON . Multi-directional and multi-scale perturbation approaches for blind forensic median filtering detection. Intelligent Data Analysis (Print), v. 20, p. S17-S36, 2016.
  49. OIKAWA, Marina A. ; DIAS, Zanoni ; ROCHA, ANDERSON ; GOLDENSTEIN, Siome . Distances in multimedia phylogeny. International Transactions in Operational Research, v. 23, p. 921-946, 2016.
  50. MORAES, Daniel ; Wainer, Jacques ; ROCHA, ANDERSON . Low False Positive Learning with Support Vector Machines. Journal of Visual Communication and Image Representation (Print), v. 38, p. 340-350, 2016.
  51. MOREIRA, Daniel ; AVILA, SANDRA ; PEREZ, MAURICIO ; MORAES, Daniel ; TESTONI, Vanessa ; VALLE, Eduardo ; GOLDENSTEIN, Siome ; ROCHA, ANDERSON . Pornography Classification: The Hidden Clues in Video Space-Time. Forensic Science International, v. 268, p. 46-61, 2016.
  52. PERRE, P ; FARIA, F A ; JORGE, L R ; ROCHA, A ; TORRES, R S ; SOUZA-FILHO, M F ; LEWINSOHN, T M ; ZUCCHI, R A . Toward an Automated Identification of Anastrepha Fruit Flies in the fraterculus group (Diptera, Tephritidae). Neotropical Entomology (Impresso), v. 1, p. 1-5, 2016.
  53. FARIA, Fabio A. ; ALMEIDA, Jurandy ; ALBERTON, Bruna ; MORELLATO, LEONOR PATRICIA C. ; ROCHA, ANDERSON ; DA S. TORRES, RICARDO . Time series-based classifier fusion for fine-grained plant species recognition. Pattern Recognition Letters, v. 81, p. 101-109, 2016.
  54. PEREZ, MAURICIO ; AVILA, SANDRA ; MORAES, Daniel ; TESTONI, Vanessa ; VALLE, Eduardo ; GOLDENSTEIN, Siome ; ROCHA, Anderson . Video pornography detection through deep learning techniques and motion information. NEUROCOMPUTING, p. 279-293, 2016.
  55. MARMEROLA, GUILHERME D. ; OIKAWA, Marina A. ; DIAS, Zanoni ; GOLDENSTEIN, Siome ; ROCHA, ANDERSON . On the Reconstruction of Text Phylogeny Trees: Evaluation and Analysis of Textual Relationships. Plos One, v. 11, p. e0167822-e0167822:35, 2016.
  56. BRITTO NETO, LAURINDO DE SOUSA ; GRIJALVA, Felipe ; MAIKE, Vanessa ; MARTINI, Luis César ; FLORENCIO, Dinei ; BARANAUSKAS, MARIA CECÍLIA CALANI ; ROCHA, ANDERSON ; GOLDENSTEIN, Siome . A Kinect-Based Wearable Face Recognition System to Aid Visually Impaired Users. IEEE Transactions on Human-Machine Systems, p. 1-13, 2016.
  57. FERREIRA, ANSELMO ; FELIPUSSI, SIOVANI C. ; ALFARO, Carlos ; FONSECA, Pablo ; VARGAS-MUNOZ, John E. ; DOS SANTOS, JEFERSSON A. ; ROCHA, ANDERSON . Behavior Knowledge Space-Based Fusion for Copy-Move Forgery Detection. IEEE Transactions on Image Processing, v. 25, p. 4729-4742, 2016.
  58. FERREIRA, ANSELMO ; NAVARRO, LUIZ ; PINHEIRO, GIULIANO ; SANTOS, JEFERSSON DOS ; ROCHA, ANDERSON . Laser Printer Attribution: Exploring New Features and Beyond. Forensic Science International, v. 247, p. 105-125, 2015.
  59. SILVA, Ewerton A. ; DE CARVALHO, TIAGO ; FERREIRA, A. C. B. ; ROCHA, Anderson . Going deeper into copy-move forgery detection: exploring image telltales via multi-scale analysis and voting processes. Journal of Visual Communication and Image Representation (Print), v. 29, p. 16-32, 2015.
  60. Wainer, Jacques ; ECKMANN, Michael ; ROCHA, Anderson . Peer-Selected Best Papers: Are They Really That Good?. Plos One, v. 10, p. e0118446-e0118446-12, 2015.
  61. GOMES, David Menotti ; CHIACHIA, Giovani ; PINTO, Allan da Silva ; SCHWARTZ, WILLIAM ; PEDRINI, HELIO ; FALCÃO, Alexandre X ; ROCHA, Anderson . Deep Representations for Iris, Face, and Fingerprint Spoofing Detection. IEEE Transactions on Information Forensics and Security, v. 10, p. 864-879, 2015.
  62. PINTO, ALLAN ; SCHWARTZ, WILLIAM ; PEDRINI, HELIO ; ROCHA, ANDERSON . Using Visual Rhythms for Detecting Video-based Facial Spoof Attacks. IEEE Transactions on Information Forensics and Security, v. 10, p. 1-1, 2015.
  63. CARVALHO, Tiago ; PEDRINI, HELIO ; ROCHA, Anderson . Visual Computing and Machine Learning Techniques for Digital Forensics. Revista de Informática Teórica e Aplicada: RITA, v. 22, p. 128-153, 2015.
  64. PIRES, Ramon ; Tiago Carvalho ; SPURLING, G. ; Siome Goldenstein ; Wainer, Jacques ; LUCKIE, A. ; JELINEK, Herbert F. ; ROCHA, ANDERSON . Automated Multi-Lesion Detection for Referable Diabetic Retinopathy in Indigenous Health Care. Plos One, v. 10, p. e0127664, 2015.
  65. ROCHA, ANDERSON; SCHEIRER, Walter J. . Large-scale learning for media understanding. EURASIP J IMAGE VIDE, v. 2015, p. 24-27, 2015.
  66. PENATTI, OTAVIO ; WERNECK, Rafael de Oliveira ; ALMEIDA, Waldir Rodrigues de ; STEIN, Bernardo Vechia ; MENDES JR., Pedro Ribeiro ; TORRES, Ricardo ; ROCHA, ANDERSON . Mid-level image representations for real-time heart view plane classification of echocardiograms. Computers in Biology and Medicine, v. 66, p. 66-81, 2015.
  67. PINTO, ALLAN ; PEDRINI, HELIO ; SCHWARTZ, William Robson ; ROCHA, ANDERSON . Face Spoofing Detection Through Visual Codebooks of Spectral Temporal Cubes. IEEE Transactions on Image Processing, v. 24, p. 4726-4740, 2015.
  68. DE O. COSTA, FILIPE ; SILVA, EWERTON ; ECKMANN, Michael ; SCHEIRER, Walter J. ; ROCHA, ANDERSON . Open set source camera attribution and device linking. Pattern Recognition Letters, v. 39, p. 92-101, 2014.
  69. FABIAN, Junior ; PIRES, Ramon ; ROCHA, ANDERSON . Visual words dictionaries and fusion techniques for searching people through textual and visual attributes. Pattern Recognition Letters, v. 30, p. 74-84, 2014.
  70. FARIA, Fabio A. ; PEDRONETTE, Daniel C. G. ; DOS SANTOS, Jefersson Alex ; ROCHA, Anderson ; TORRES, Ricardo . Rank Aggregation for Pattern Classifier Selection in Remote Sensing Images. IEEE J-STARS, v. 7, p. 1103-1115, 2014.
  71. FARIA, Fabio A. ; DOS SANTOS, JEFERSSON A. ; ROCHA, ANDERSON ; TORRES, RICARDO DA S. . A framework for selection and fusion of pattern classifiers in multimedia recognition. Pattern Recognition Letters, v. 39, p. 52-64, 2014.
  72. ROCHA, ANDERSON; GOLDENSTEIN, Siome Klein . Multiclass From Binary: Expanding One-Versus-All, One-Versus-One and ECOC-Based Approaches. IEEE Transactions on Neural Networks and Learning Systems, v. 25, p. 289-302, 2014.
  73. MORAIS, ERIKSON ; FERREIRA, ANSELMO ; CUNHA, SERGIO AUGUSTO ; BARROS, RICARDO M.L. ; ROCHA, Anderson ; GOLDENSTEIN, S. . A multiple camera methodology for automatic localization and tracking of futsal players. Pattern Recognition Letters, v. 39, p. 21-30, 2014.
  74. PIRES, Ramon ; Jelinek, Herbert F. ; Wainer, Jacques ; VALLE, Eduardo ; ROCHA, Anderson . Advancing Bag-of-Visual-Words Representations for Lesion Classification in Retinal Images. Plos One, v. 9, p. e96814-e96814, 2014.
  75. FARIA, F.A. ; PERRE, P. ; ZUCCHI, R.A. ; JORGE, L.R. ; LEWINSOHN, T.M. ; ROCHA, A. ; TORRES, R. DA S. . Automatic identification of fruit flies (Diptera: Tephritidae). Journal of Visual Communication and Image Representation (Print), v. 25, p. 1516-1527, 2014.
  76. DE O. COSTA, FILIPE ; OIKAWA, Marina A. ; DIAS, Zanoni ; GOLDENSTEIN, Siome ; ROCHA, ANDERSON . Image Phylogeny Forests Reconstruction. IEEE Transactions on Information Forensics and Security, v. 9, p. 1-1, 2014.
  77. CHIACHIA, Giovani ; FALCAO, ALEXANDRE X. ; PINTO, Nicolas ; ROCHA, ANDERSON ; COX, David . Learning Person-Specific Representations from Faces in the Wild. IEEE Transactions on Information Forensics and Security, v. 9, p. 1-1, 2014.
  78. DIAS, Zanoni ; Siome Goldenstein ; ROCHA, Anderson . Large-Scale Image Phylogeny: Tracing Back Image Ancestry Relationships. IEEE Multimedia, v. 20, p. 58-70, 2013.
  79. DIAS, Zanoni ; Siome Goldenstein ; ROCHA, Anderson . Toward image phylogeny forests: Automatically recovering semantically similar image relationships. Forensic Science International, v. 231, p. 178-189, 2013.
  80. CARVALHO, Tiago ; RIESS, Christian ; ANGELOPOULOU, Elli ; PEDRINI, HELIO ; ROCHA, Anderson . Exposing Digital Image Forgeries by Illumination Color Classification. IEEE Transactions on Information Forensics and Security, v. 8, p. 1182-1194, 2013.
  81. WAINER, J. ; Wainer, Jacques ; Eckmann, Michael ; Goldenstein, Siome ; ROCHA, Anderson . How productivity and impact differ across computer science subareas. Communications of the ACM, v. 56, p. 67, 2013.
  82. PIRES, Ramon ; JELINEK, Herbert F. ; Wainer, Jacques ; GOLDENSTEIN, Siome ; VALLE, Eduardo ; ROCHA, ANDERSON . Assessing the Need for Referral in Automatic Diabetic Retinopathy Detection. IEEE Transactions on Biomedical Engineering, v. 60, p. 3391-3398, 2013.
  83. TOKUDA, ERIC ; PEDRINI, HELIO ; ROCHA, ANDERSON . Computer generated images vs. digital photographs: A synergetic feature and classifier combination approach. Journal of Visual Communication and Image Representation (Print), v. 24, p. 1276-1292, 2013.
  84. DIAS, Zanoni ; GOLDENSTEIN, Siome ; ROCHA, ANDERSON . Exploring Heuristic and Optimum Branching Algorithms for Image Phylogeny. Journal of Visual Communication and Image Representation (Print), v. 24, p. 1124-1134, 2013.
  85. ROCHA, Anderson; PAPA, João. P. ; MEIRA, Luis A. A. . HOW FAR DO WE GET USING MACHINE LEARNING BLACK-BOXES?. International Journal of Pattern Recognition and Artificial Intelligence, v. 26, p. 1261001-1261001-26, 2012.
  86. MORISSON, André Luiz da Costa ; LAMBERT, Jorge de Albuquerque ; REIS, Paulo Max Gil Innocencio ; ROCHA, Anderson . Perícia Criminal Brasileira, Estado da Arte e Tecnologias. Perícia Federal, v. XIII, p. 44-46, 2012.
  87. DIAS, Zanoni ; ROCHA, Anderson ; Goldenstein, Siome . Image Phylogeny by Minimal Spanning Trees. IEEE Transactions on Information Forensics and Security, v. 7, p. 774-788, 2012.
  88. SCHEIRER, Walter J. ; ROCHA, Anderson ; PARRIS, Jonathan ; BOULT, Terrance E. . Learning for Meta-Recognition. IEEE Transactions on Information Forensics and Security, v. 7, p. 1214-1224, 2012.
  89. ROCHA, Anderson; Carvalho, Tiago ; Jelinek, Herbert F. ; Goldenstein, Siome ; WAINER, J. ; Wainer, Jacques . Points of Interest and Visual Dictionaries for Automatic Retinal Lesion Detection. IEEE Transactions on Biomedical Engineering (Print), v. 59, p. 2244-2253, 2012.
  90. Eckmann, Michael ; WAINER, J. ; Wainer, Jacques ; ROCHA, Anderson . Relationship between high-quality journals and conferences in computer vision. Scientometrics (Online), v. 90, p. 617-630, 2012.
  91. SCHEIRER, WALTER ; ROCHA, ANDERSON ; SAPKOTA, Archana ; BOULT, TERRANCE . Towards Open Set Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 35, p. 1-1, 2012.
  92. ROCHA, Anderson; SCHEIRER, Walter J. ; BOULT, Terrance E. ; GOLDENSTEIN, Siome Klein . Vision of the Unseen: Current Trends and Challenges in Digital Image and Video Forensics. ACM Computing Surveys, v. 43, p. 26:1-26:42, 2011.
  93. SILVA, Ewerton A. ; ROCHA, Anderson . Análise Forense de Documentos Digitais: Além da Visão Humana. Saúde, Ética & Justiça, v. 16, p. 9-17, 2011.
  94. SCHEIRER, Walter J. ; ROCHA, Anderson ; MICHAELS, Ross ; BOULT, Terrance E. . Meta-Recognition: The Theory and Practice of Recognition Score Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 33, p. 1689-1695, 2011.
  95. ROCHA, Anderson; Hauagge, Daniel C. ; Wainer, Jacques ; Goldenstein, Siome . Automatic fruit and vegetable classification from images. Computers and Electronics in Agriculture, v. 70, p. 96-104, 2010.
  96. ROCHA, Anderson; Goldenstein, Siome . Progressive randomization: Seeing the unseen. Computer Vision and Image Understanding (Print), v. 114, p. 349-362, 2010.
  97. ROCHA, Anderson; GOLDENSTEIN, Siome Klein . Steganography and Steganalysis in Digital Multimedia: Hype or Hallelujah. Revista de Informática Teórica e Aplicada, v. 15, p. 83-110, 2008.
  98. MIRANDA, Paulo André Vechiatto ; FALCÃO, Alexandre X ; ROCHA, Anderson ; BERGO, Felipe P. G. . Object delineation by k-connected components. EURASIP Journal on Advances in Signal Processing (Print), v. 2008, p. 1-14, 2008.
  99. ROCHA, Anderson; COSTA, Heitor Augustus Xavier ; CHAVES, Lucas Monteiro . Camaleão: um software para segurança digital utilizando esteganografia. REIC. Revista Eletrônica de Iniciação Científica (Online), http://www.sbc.org.br/reic, v. I, n.Número I, p. 1-11, 2004.
  100. ROCHA, Anderson; SCHNEIDER, Andréia ; ALVES, Júlio César ; SILVA, Ricardo Martins de Abreu . wxProc: um simulador de políticas de escalonamento multiplataforma. INFOCOMP (UFLA), v. I, n.III, p. 43-47, 2004.
  101. ROCHA, Anderson; RESENDE, Antônio Maria Pereira de . Discutindo soluções do clássico problema da sujeira com agentes inteligentes, Java e Jess. REIC. Revista Eletrônica de Iniciação Científica (Online), http://www.sbc.org.br/reic/, v. III, n.Volume III, p. 1-11, 2003.


Eduardo Valle

  1. PIRES, RAMON ; AVILA, SANDRA ; WAINER, JACQUES ; VALLE, EDUARDO ; ABRAMOFF, MICHAEL D. ; ROCHA, ANDERSON . A Data-driven Approach to Referable Diabetic Retinopathy Detection. ARTIFICIAL INTELLIGENCE IN MEDICINE, v. 96, p. 93-106, 2019.
  2. CACEFFO, Ricardo ; Eduardo Valle ; Rickson Mesquita ; Rodolfo de Azevedo . Assessment of Predictive Power of The Felder & Silverman Learning Styles Model on Students? Performance in an Introductory Physics Course. European Journal of Physics Education, v. 10, p. 1-22, 2019.
  3. VALLE, EDUARDO; FORNACIALI, MICHEL ; MENEGOLA, AFONSO ; TAVARES, JULIA ; VASQUES BITTENCOURT, FLÁVIA ; LI, LIN TZY ; AVILA, SANDRA . Data, Depth, and Design: Learning Reliable Models for Skin Lesion Analysis. NEUROCOMPUTING, v. 383, p. 303-313, 2019.
  4. MOREIRA, DANIEL ; AVILA, SANDRA ; PEREZ, MAURICIO ; MORAES, DANIEL ; TESTONI, VANESSA ; VALLE, EDUARDO ; GOLDENSTEIN, SIOME ; ROCHA, ANDERSON . Multimodal Data Fusion for Sensitive Scene Localization. Information Fusion, v. 45, p. 307-326, 2018.
  5. PIRES, RAMON ; AVILA, SANDRA ; JELINEK, HERBERT ; WAINER, JACQUES ; VALLE, EDUARDO ; ROCHA, ANDERSON . Beyond Lesion-based Diabetic Retinopathy: a Direct Approach for Referral. IEEE Journal of Biomedical and Health Informatics, v. 21, p. 193-200, 2017.
  6. MOREIRA, DANIEL ; AVILA, SANDRA ; PEREZ, MAURICIO ; MORAES, DANIEL ; TESTONI, VANESSA ; VALLE, EDUARDO ; GOLDENSTEIN, SIOME ; ROCHA, ANDERSON . Pornography Classification: The Hidden Clues in Video Space-Time. Forensic Science International, v. 268, p. 46-61, 2016.
  7. MOREIRA, THIERRY PINHEIRO ; PEREZ, MAURICIO LISBOA ; OLIVEIRA WERNECK, RAFAEL DE ; VALLE, EDUARDO . Where is my puppy? Retrieving lost dogs by facial features. MULTIMEDIA TOOLS AND APPLICATIONS, v. 76, p. 15325-15340, 2016.
  8. PEREZ, MAURICIO ; AVILA, SANDRA ; MOREIRA, DANIEL ; MORAES, DANIEL ; TESTONI, VANESSA ; VALLE, EDUARDO ; GOLDENSTEIN, SIOME ; ROCHA, ANDERSON . Video pornography detection through deep learning techniques and motion information. NEUROCOMPUTING, v. 230, p. 279-293, 2016.
  9. TESTONI, V. ; PENATTI, O.A.B. ; ANDALÓ, F.A. ; LIZARRAGA, M. ; RITTNER, L. ; VALLE, E. ; AVILA, S. . Guest Editorial: Special Issue on Vision-based Human Activity Recognition. Journal of Communication and Information Systems (Online), v. 30, p. 58-59, 2015.
  10. PENATTI, OTÁVIO A.B. ; SILVA, FERNANDA B. ; VALLE, EDUARDO ; GOUET-BRUNET, VALERIE ; TORRES, RICARDO DA S. . Visual word spatial arrangement for image retrieval and classification. Pattern Recognition, v. 47, p. 705-720, 2014.
  11. TEODORO, GEORGE ; VALLE, EDUARDO ; MARIANO, NATHAN ; TORRES, RICARDO ; MEIRA, WAGNER ; SALTZ, JOEL H. . Approximate similarity search for online multimedia services on distributed CPU-GPU platforms. VLDB JOURNAL, v. 23, p. 427-448, 2014.
  12. PIRES, RAMON ; JELINEK, HERBERT F. ; WAINER, JACQUES ; VALLE, EDUARDO ; ROCHA, ANDERSON . Advancing Bag-of-Visual-Words Representations for Lesion Classification in Retinal Images. Plos One, v. 9, p. e96814, 2014.
  13. Sandra de Avila ; Nicolas Thome ; Matthieu Cord ; Eduardo Valle ; Arnaldo Araújo . Pooling in image representation: the visual codeword point of view. Computer Vision and Image Understanding (Print), v. 117, p. 453-465, 2013.
  14. PIRES, RAMON ; JELINEK, HERBERT ; WAINER, JACQUES ; GOLDENSTEIN, SIOME ; VALLE, EDUARDO ; ROCHA, ANDERSON . Assessing the Need for Referral in Automatic Diabetic Retinopathy Detection. IEEE Transactions on Biomedical Engineering (Print), v. 60, p. 3391-3398, 2013.
  15. Eduardo Valle; Jacques Wainer ; What happens to computer science research after it is published? Tracking CS research lines. Journal of the American Society for Information Science and Technology (Print), v. 64, p. 1104-1111, 2013.
  16. Eduardo Valle; Otávio Penatti ; Ricardo Torres . Comparative study of global color and texture descriptors for web image retrieval. Journal of Visual Communication and Image Representation (Print), v. 23, p. 359-380, 2012.
  17. LUZ, ANTONIO ; VALLE, EDUARDO ; A. ARAÚJO, ARNALDO . Non-collaborative content detecting on video sharing social networks. Multimedia Tools and Applications, v. 70, p. 1049-1067, 2012.
  18. Eduardo Valle; Matthieu Cord ; Sylvie Philipp-Foliguet ; David Gorisse . Indexing Personal Image Collections: A Flexible, Scalable Solution. IEEE Transactions on Consumer Electronics, v. 56, p. 1167-1175, 2010.
  19. Jurandy de Almeida Jr. ; Eduardo Valle ; Ricardo Torres ; Neucimar Leite . DAHC-tree: An Effective Index for Approximate Search in High-Dimensional Metric Spaces. Journal of Information and Data Management – JIDM, v. 1, p. 375-390, 2010.
  20. Eduardo Valle. Preservação digital e gestão eletronica de documentos para museus e arquivos: O desafio dos acervos permanentes. Anais do Museu Histórico Nacional, Rio de Janeiro, v. 37, p. 139-151, 2005.
  21. Eduardo Valle; Arnaldo Araújo . Digitalização de acervos, desafio para o futuro. Revista do Arquivo Publico Mineiro, Belo Horizonte, MG, v. XLI, n.ano XLI, p. 129-143, 2005.


Jacques Wainer

  1. ALMEIDA, WALDIR R. ; ANDALÓ, FERNANDA A. ; PADILHA, RAFAEL ; BERTOCCO, GABRIEL ; DIAS, WILLIAM ; TORRES, RICARDO DA S. ; Wainer, Jacques ; Rocha, Anderson . Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function. PLoS One, v. 15, p. e0238058, 2020.
  2. PADILHA, RAFAEL ; ANDALÓ, FERNANDA A. ; BERTOCCO, GABRIEL ; ALMEIDA, WALDIR R. ; DIAS, WILLIAM ; RESEK, THIAGO ; TORRES, RICARDO DA S. ; Wainer, Jacques ; Rocha, Anderson . Two-tiered face verification with low-memory footprint for mobile devices. IET Biometrics, v. 9, p. 205-215, 2020.
  3. PIRES, RAMON ; AVILA, SANDRA ; WAINER, J. ; Eduardo Valle ; ABRAMOFF, MICHAEL D. ; ROCHA, ANDERSON . A Data-driven Approach to Referable Diabetic Retinopathy Detection. ARTIFICIAL INTELLIGENCE IN MEDICINE, v. 96, p. 93-106, 2019.
  4. WAINER, J; Xavier, Eduardo C. . A Controlled Experiment on Python vs C for an Introductory Programming Course. ACM Transactions on Computing Education, v. 18, p. 1-16, 2018.
  5. WAINER, J. Evidências de uma divisa racial de riquezas no Brasil urbano. REVISTA BRASILEIRA DE SOCIOLOGIA, v. 6, p. 178, 2018.
  6. DUARTE, EDSON ; Wainer, Jacques . Empirical comparison of cross-validation and internal metrics for tuning SVM hyperparameters. Pattern Recognition Letters, v. 88, p. 6-11, 2017.
  7. Wainer, Jacques; MELGUIZO, TATIANA . Políticas de inclusão no ensino superior: avaliação do desempenho dos alunos baseado no Enade de 2012 a 2014. EDUCAÇÃO E PESQUISA, v. 44, p. e162807-0, 2017.
  8. PIRES, Ramon ; AVILA, SANDRA ; JELINEK, Herbert F. ; WAINER, J. ; VALLE, Eduardo ; ROCHA, Anderson . Beyond Lesion-Based Diabetic Retinopathy: A Direct Approach for Referral. IEEE Journal of Biomedical and Health Informatics, v. 21, p. 193-200, 2017.
  9. WAINER, J.; CAWLEY, G. . Empirical Evaluation of Resampling Procedures for Optimising SVM Hyperparameters. Journal of Machine Learning Research (Online), v. 18, p. 1-35, 2017.
  10. MORAES, Daniel ; WAINER, J. ; ROCHA, Anderson . Low False Positive Learning with Support Vector Machines. Journal of Visual Communication and Image Representation (Print), v. 38, p. 340-350, 2016.
  11. MELGUIZO, TATIANA ; Wainer, Jacques . Toward a set of measures of student learning outcomes in higher education: evidence from Brazil. Higher Education, v. 72, p. 381-401, 2016.
  12. Wainer, Jacques; Eckmann, Michael ; Rocha, Anderson . Peer-Selected -Best Papers–Are They Really That -Good-?. Plos One, v. 10, p. e0118446, 2015.
  13. PIRES, Ramon ; Carvalho, Tiago ; SPURLING, GEOFFREY ; Goldenstein, Siome ; Wainer, Jacques ; LUCKIE, ALAN ; JELINEK, Herbert F. ; Rocha, Anderson . Automated Multi-Lesion Detection for Referable Diabetic Retinopathy in Indigenous Health Care. Plos One, v. 10, p. e0127664, 2015.
  14. PINHEIRO, PAULO ; CARDOZO, ELERI ; Wainer, Jacques ; ROHMER, ERIC . Cleaning Task Planning for an Autonomous Robot in Indoor Places with Multiples Rooms. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND COMPUTING, v. 5, p. 86-90, 2015.
  15. PIRES, Ramon ; JELINEK, Herbert F. ; Wainer, Jacques ; VALLE, Eduardo ; Rocha, Anderson . Advancing Bag-of-Visual-Words Representations for Lesion Classification in Retinal Images. Plos One, v. 9, p. e96814, 2014.
  16. Wainer, Jacques; VIEIRA, PAULA ; MELGUIZO, TATIANA . The association between having access to computers and Internet and educational achievement for primary students in Brazil. Computers and Education, v. 80, p. 68-76, 2014.
  17. BEZERRA, Fábio ; WAINER, J. . Algorithms for anomaly detection of traces in logs of process aware information systems. Information Systems (Oxford), v. 38, p. 33-44, 2013.
  18. ANDRE, AMAURY B. ; BELTRAME, EDUARDO ; Wainer, Jacques . A COMBINATION OF SUPPORT VECTOR MACHINE AND k-NEAREST NEIGHBORS FOR MACHINE FAULT DETECTION. Applied Artificial Intelligence, v. 27, p. 36-49, 2013.
  19. Wainer, Jacques; VALLE, EDUARDO . What happens to computer science research after it is published? Tracking CS research lines. Journal of the American Society for Information Science and Technology (Print), v. 64, p. 1104-1111, 2013.
  20. WAINER, J; VIEIRA, PAULA . Avaliação de bolsas de produtividade em pesquisa do CNPq e medidas bibliométricas: correlações para todas as grandes áreas. Perspectivas em Ciência da Informação (Impresso), v. 18, p. 60-78, 2013.
  21. Wainer, Jacques; VIEIRA, PAULA . Correlations between bibliometrics and peer evaluation for all disciplines: the evaluation of Brazilian scientists. Scientometrics (Online), v. 96, p. 395-410, 2013.
  22. Wainer, Jacques; Eckmann, Michael ; Goldenstein, Siome ; Rocha, Anderson . How productivity and impact differ across computer science subareas. Communications of the ACM, v. 56, p. 67, 2013.
  23. VIEIRA, PAULA VANESSA MEDEIROS ; Wainer, Jacques . Correlações entre a contagem de citações de pesquisadores brasileiros, usando o Web of Science, Scopus e Scholar. Perspectivas em Ciência da Informação (Impresso), v. 18, p. 45-60, 2013.
  24. PIRES, Ramon ; JELINEK, Herbert F. ; WAINER, J. ; GOLDENSTEIN, Siome ; VALLE, Eduardo ; ROCHA, ANDERSON ; ROCHA, Anderson . Assessing the Need for Referral in Automatic Diabetic Retinopathy Detection. IEEE Transactions on Biomedical Engineering, v. 60, p. 3391-3398, 2013.
  25. Ellis, Clarence A. ; KIM, Kwanghoon ; Rembert, Aubrey ; Wainer, Jacques . Investigations on Stochastic Information Control Nets. Information Sciences, v. 194, p. 120-137, 2012.
  26. SILVA, V. C. G. ; BETTA, C. A. ; NISHIO, E. A. ; BARSOTTINI, C. N. ; WAINER, J . Mensuração do tempo dos registros manual e eletrônico da Sistematização da Assistência de Enfermagem em Unidade de Terapia Intensiva. Journal of Health Informatics, v. 4, p. 1, 2012.
  27. BEZERRA, Fábio ; WAINER, J . A Dynamic Threshold Algorithm for Anomaly Detection in Logs of Process Aware Systems. Journal of Information and Data Management – JIDM, v. 3, p. 316, 2012.
  28. Rocha, Anderson ; Carvalho, Tiago ; Jelinek, Herbert F. ; Goldenstein, Siome ; Wainer, Jacques . Points of Interest and Visual Dictionaries for Automatic Retinal Lesion Detection. IEEE Transactions on Biomedical Engineering (Print), v. 59, p. 2244-2253, 2012.
  29. Eckmann, Michael ; Rocha, Anderson ; Wainer, Jacques . Relationship between high-quality journals and conferences in computer vision. Scientometrics (Print), v. 90, p. 617-630, 2012.
  30. Wainer, Jacques; Billa, Cleo ; Goldenstein, Siome . Invisible work in standard bibliometric evaluation of computer science. Communications of the ACM, v. 54, p. 141, 2011.
  31. BEZERRA, Fabio ; Wainer, Jacques . Fraud detection in process aware systems. International Journal of Business Process Integration and Management (Print), v. 5, p. 121, 2011.
  32. WAINER, J.; COVIC, Andre . Ethnic Digital Exclusion in Brazil: National and Regional Data from 2001 to 2004. Information Technologies and International Development (Print), v. 6, p. 34-47, 2010.
  33. BILLA, Cleo Zanella ; Wainer, Jacques ; Barsottini, Claudia . ST-Audit: guideline-based automatic auditing of electronic patient records. Journal of Intelligent Information Systems, v. 36, p. 49-72, 2010.
  34. Wainer, Jacques; Henrique Przibisczki de Oliveira ; Ricardo Anido . Patterns of bibliographic references in the ACM published papers. Information Processing & Management, v. 47, p. 135-142, 2010.
  35. ROCHA, Anderson ; Hauagge, Daniel C. ; WAINER, J. ; Goldenstein, Siome . Automatic fruit and vegetable classification from images. Computers and Electronics in Agriculture, v. 70, p. 96-104, 2010.
  36. Arruda, Denis ; Bezerra, Fábio ; Neris, Vânia Almeida ; Rocha De Toro, Patricia ; Wainera, Jacques . Brazilian computer science research: Gender and regional distributions. Scientometrics, v. 79, p. 651-665, 2009.
  37. Wainer, Jacques; Xavier, Eduardo C. ; BEZERRA, Fabio . Scientific production in Computer Science: A comparative study of Brazil and other countries. Scientometrics (Print), v. 81, p. 535-547, 2009.
  38. WAINER, J.; CAMPOS, Carlos Jose Reis dos ; Lichtenstein, F. ; SIGULEM, Daniel . Princípios que devem reger um prontuário único do paciente. Textos de la Cibersociedad, v. 16, p. 193, 2009.
  39. WAINER, J.; BARSOTTINI, C. G. N. ; Lacerda, Danilo ; MAGALHÃES DE MARCO, L R . Empirical evaluation in Computer Science research published by ACM. Information and Software Technology, v. 51, p. 1081-1085, 2009.
  40. WAINER, J.; COVIC, Andre ; DWYER, T. . Uso de computadores no ensino fundamental e médio e seus resultados empíricos: uma revisão sistemática da literatura.. Revista Brasileira de Informática na Educação, v. 16, p. 57-68, 2008.
  41. WAINER, J.; DWYER, T. ; COVIC, Andre . Too much computer and Internet use is bad for your grades, especially if you are young and poor: Results from the 2001 Brazilian SAEB. Computers & Education, v. 51, p. 1417-1429, 2008.
  42. PELLEGRINI, Jeronimo ; WAINER, J. . Processos de Decisao de Markov: um tutorial. Revista de Informática Teórica e Aplicada, v. 14, p. 133-179, 2008.
  43. JAMBEIRO, Jorge ; WAINER, J. . HPB: A Model for Handling BN Nodes with High Cardinality Parents. Journal of Machine Learning Research, v. 9, p. 2141-2170, 2008.
  44. WAINER, J.; Campos, C. J.R. ; Salinas, M.D. U. ; Sigulem, D. . Security Requirements for a Lifelong Electronic Health Record System: An Opinion. The Open Medical Informatics Journal, v. 2, p. 160-165, 2008.
  45. AFONSO, D. L. A. ; PARENTE, M. ; WAINER, J. . Computador de mão: uma ferramenta didatica na graduação em Medicina. Revista Brasileira de Informática na Educação, v. 16, p. 21-27, 2008.
  46. WAINER, J.; KUMAR, Akhil . DW-RBAC: A formal security model of delegation and revocation in workflow systems. Information Systems (Oxford), v. 32, p. 365-384, 2007.
  47. WAINER, J.. Modeling generalized implicatures using non-monotonic logics. Journal of Logic, Language and Information, v. 16, p. 195-216, 2007.
  48. WAINER, J; FERREIRAJR, P ; CONSTANTINO, E . Scheduling meetings through multi-agent negotiations. Decision Support Systems, v. 44, p. 285-297, 2007.
  49. WAINER, J.; BARSOTTINI, Claudia Novoa . Empirical research in CSCW – a review of the ACM/CSCW conferences from 1998 to 2004. Journal of the Brazilian Computer Society, v. 13, p. 27-36, 2007.
  50. Dwyer, Tom ; WAINER, J. ; Dutra, Rodrigo Silveira ; Covic, André ; Magalhães, Valdo B. ; Ferreira, Luiz Renato Ribeiro ; Pimenta, Valdiney Alves ; Claudio, Kleucio . Desvendando mitos: os computadores e o desempenho no sistema escolar. Educação e Sociedade, v. 28, p. 1303-1328, 2007.
  51. BILLA, Cleo Zanella ; BARSOTTINI, Claudia Novoa ; WAINER, J. . Model of design rationale for outpatient medical care. Scientia (Unisinos), v. 18, p. 1, 2007.
  52. Razzouk, D. ; Mari, J.J. ; SHIRAKAWA, I. ; WAINER, J. ; Sigulem, D. . Decision support system for the diagnosis of schizophrenia disorders. Brazilian Journal of Medical and Biological Research, Ribeirao Preto, v. 39, n.1, p. 1, 2006.
  53. WAINER, J. ; SIGULEM, Daniel . How do experts recognize schizophrenia: the role of the disorganization symptom. Revista Brasileira de Psiquiatria (São Paulo), v. 28, n.1, p. 5-9, 2006.
  54. WAINER, J.; CAMPOS, Carlos Jose Reis dos ; SIGULEM, Daniel ; LOPES, P. . O que é pesquisa em informatica em saude. Revista de Informática Teórica e Aplicada, v. 13, p. 42-56, 2006.
  55. WAINER, J.; KUMAR, Akhil . Meta workflows as a control and coordination mechanism for exception handling in workflow systems. Decision Support Systems, Alemanha, v. 40, n.1, p. 89-105, 2005.
  56. Blin, M. ; WAINER, J. ; MEDEIROS, C. B. . A reuse-oriented workflow definition language. International Journal of Cooperative Information Systems, Singapura, v. 12, n.1, p. 1-36, 2003.
  57. Razzouk, D; MARI, J. J. ; SHIRAKAWA, I. ; WAINER, J. ; SIGULEM, Daniel . Knowledge acquisition in schizophrenia: clinical reasoning patterns among three experts. Schizophrenia Research, Holanda, v. 63, n.3, p. 295-296, 2003.
  58. WAINER, J.; Bartthelmess, P. ; KUMAR, Akhil . W-RBAC – A Workflow Security Model Incorporating Controlled Overriding of Constraints,. International Journal of Cooperative Information Systems, v. 12, n.4, p. 455-487, 2003.
  59. SILVA, R. ; WAINER, J. ; MADEIRA, Edmundo . A Fully Distributed Architecture for Large Scale Workflow Enactment. International Journal of Cooperative Information Systems, Singapura, v. 12, n.4, p. 411-441, 2003.
  60. Aalst, W. ; Bartthelmess, P. ; ELLIS, Clarence ; WAINER, J. . Proclets:a framework for lightweight interacting workflow processes. International Journal of Cooperative Information Systems, Singapura, v. 10, n.4, p. 443-482, 2001.
  61. SILVA, R. ; WAINER, J. ; MADEIRA, Edmundo ; ELLIS, Clarence . CORBA based architecture for large scale workflow. IEICE Transactions on Communications, v. e83-b, n.5, p. 988-998, 2000.
  62. WAINER, J.; SANDRI, S. . Fuzzy Temporal/Categorical Information In Diagnosis. Journal of Intelligent Information Systems, Alemanha, v. XII, p. 9-26, 1999.
  63. Pistori, Hemerson; Wainer, Jacques . Automatic theory formation in graph theory. Journal of the Brazilian Computer Society, v. 6, n.2, p. 1, 1999.
  64. WAINER, J; DEMELOREZENDE, A . A temporal extension to the parsimonious covering theory. Artificial Intelligence in Medicine, Holanda, v. 10, p. 235-255, 1997.
  65. WAINER, J. . Vibis A Discussion And Voting Tool. Journal of the Brazilian Computer Society, Brasil, v. 1, n.2, p. 36-43, 1994.
  66. ELLIS, Clarence ; WAINER, J. . Goal-Based Models Of Collaboration. Collaborative Computing, Inglaterra, v. 1, n.1, p. 61-83, 1994.


Sandra Avila

  1. SANTOS, THIAGO T. ; DE SOUZA, LEONARDO L. ; DOS SANTOS, ANDREZA A. ; Avila, Sandra . Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 170, p. 105247, 2020.
  2. CARVALHO, Luiz Sérgio F. ; GIOPPATO, Silvio ; FERNANDEZ, Marta D. ; TRINDADE, Bernardo C. ; SILVA, José Carlos Q. E. ; MIRANDA, Rebeca G. S. ; SOUZA, Beto J. R. M. ; NADRUZ JUNIOR, W. ; AVILA, Sandra ; SPOSITO, Andrei C. . Machine Learning Improves the Identification of Individuals With Higher Morbidity and Avoidable Health Costs After Acute Coronary Syndromes. VALUE IN HEALTH, v. 23, p. 1570-1579, 2020.
  3. PIRES, Ramon ; Avila, Sandra ; WAINER, Jacques ; VALLE, Eduardo ; ABRAMOFF, MICHAEL D. ; ROCHA, Anderson . A Data-driven Approach to Referable Diabetic Retinopathy Detection. ARTIFICIAL INTELLIGENCE IN MEDICINE, v. 96, p. 93-106, 2019.
  4. FERREIRA, ANSELMO ; FELIPUSSI, Siovani C. ; PIRES, Ramon ; Avila, Sandra ; SANTOS, GEISE ; LAMBERT, JORGE ; HUANG, JIWU ; ROCHA, Anderson . Eyes in the Skies: A Data-Driven Fusion Approach to Identifying Drug Crops From Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 99, p. 1-14, 2019.
  5. VALLE, Eduardo ; FORNACIALI, MICHEL ; MENEGOLA, AFONSO ; TAVARES, JULIA ; VASQUES BITTENCOURT, FLÁVIA ; LI, LIN TZY ; Avila, Sandra . Data, Depth, and Design: Learning Reliable Models for Skin Lesion Analysis. NEUROCOMPUTING, v. 383, p. 303-313, 2019.
  6. MELO, CARLOS FERNANDO ODIR RODRIGUES NAVARRO, LUIZ CLAUDIO DE OLIVEIRA, DIOGO NOIN GUERREIRO, TATIANE MELINA LIMA, ESTELA DE OLIVEIRA DELAFIORI, JEANY DABAJA, MOHAMED ZIAD RIBEIRO, MARTA DA SILVA DE MENEZES, MAICO RODRIGUES, RAFAEL GUSTAVO MARTINS MORISHITA, KAREN NODA ESTEVES, CIBELE ZANARDI DE AMORIM, ALINE LOPES LUCAS AOYAGUI, CAROLINE TIEMI PARISE, PIERINA LORENCINI MILANEZ, GUILHERME PAIER DO NASCIMENTO, GABRIELA MANSANO RIBAS FREITAS, ANDRÉ RICARDO ANGERAMI, RODRIGO COSTA, FÁBIO TRINDADE MARANHÃO ARNS, CLARICE WEIS RESENDE, MARIANGELA RIBEIRO AMARAL, ELIANA JUNIOR, RENATO PASSINI RIBEIRO-DO-VALLE, CAROLINA C. , et al. ; A Machine Learning Application Based in Random Forest for Integrating Mass Spectrometry-Based Metabolomic Data: A Simple Screening Method for Patients With Zika Virus. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, v. 6, p. 1-11, 2018.
  7. MOREIRA, Daniel ; AVILA, Sandra ; PEREZ, MAURICIO ; MORAES, Daniel ; TESTONI, Vanessa ; VALLE, Eduardo ; Goldenstein, Siome ; ROCHA, Anderson . Multimodal Data Fusion for Sensitive Scene Localization. Information Fusion, v. 45, p. 307-323, 2018.
  8. ARAUJO, Lucas M. ; OLIVEIRA, Fabíola M. C. ; FACCIPIERI, Jorge H. ; COIMBRA, Tiago A. A. ; AVILA, Sandra ; TYGEL, Martin ; BORIN, Edson . Detecção de estruturas em dados sísmicos com Deep Learning. BOLETIM SBGF, v. 104, p. 18-21, 2018.
  9. VITORINO, Paulo ; AVILA, Sandra ; PEREZ, Mauricio ; ROCHA, Anderson . Leveraging Deep Neural Networks to Fight Child Pornography in the Age of Social Media. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, p. 303-313, 2017.
  10. PIRES, Ramon ; AVILA, Sandra ; JELINEK, Herbert F. ; Wainer, Jacques ; VALLE, Eduardo ; ROCHA, Anderson . Beyond Lesion-Based Diabetic Retinopathy: A Direct Approach for Referral. IEEE Journal of Biomedical and Health Informatics, v. 21, p. 193-200, 2017.
  11. MOREIRA, DANIEL ; AVILA, SANDRA ; PEREZ, MAURICIO ; MORAES, DANIEL ; TESTONI, VANESSA ; VALLE, EDUARDO ; GOLDENSTEIN, SIOME ; ROCHA, ANDERSON . Pornography Classification: The Hidden Clues in Video Space-Time. Forensic Science International, v. 268, p. 46-61, 2016.
  12. CAETANO, CARLOS ; AVILA, SANDRA ; SCHWARTZ, WILLIAM ROBSON ; GUIMARÃES, SILVIO JAMIL F. ; ARAÚJO, ARNALDO DE A. . A mid-level video representation based on binary descriptors: A case study for pornography detection. Neurocomputing (Amsterdam), v. 213, p. 102-114, 2016.
  13. PEREZ, MAURICIO ; AVILA, SANDRA ; MOREIRA, DANIEL ; MORAES, DANIEL ; TESTONI, VANESSA ; VALLE, EDUARDO ; GOLDENSTEIN, SIOME ; ROCHA, ANDERSON . Video pornography detection through deep learning techniques and motion information. Neurocomputing (Amsterdam), v. 230, p. 279-293, 2016.
  14. AVILA, SANDRA; THOME, NICOLAS ; CORD, MATTHIEU ; VALLE, EDUARDO ; DE A. ARAÚJO, ARNALDO . Pooling in image representation: The visual codeword point of view. Computer Vision and Image Understanding (Print), v. 117, p. 453-465, 2013.
  15. DE AVILA, SANDRA ELIZA FONTES; Lopes, Ana Paula Brandão ; DA LUZ, ANTONIO ; de Albuquerque Araújo, Arnaldo . VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method. Pattern Recognition Letters, v. 32, p. 56-68, 2011.


Adín Rivera

  1. SAIRE, DARWIN ; RIVERA, ADIN RAMIREZ . Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task. IEEE Access, v. 9, p. 1-1, 2021.
  2. SANTANDER, MIGUEL RODRÍGUEZ ; ALBARRACÍN, JUAN HERNÁNDEZ ; RIVERA, ADÍN RAMÍREZ . On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study. EXPERT SYSTEMS WITH APPLICATIONS, v. V, p. 114991, 2021.
  3. IQBAL, MD TAUHID BIN ; RYU, BYUNGYONG ; RAMIREZ RIVERA, ADIN ; MAKHMUDKHUJAEV, FARKHOD ; CHAE, OKSAM ; BAE, SUNG-HO . Facial Expression Recognition with Active Local Shape Pattern and Learned-Size Block Representations. IEEE Transactions on Affective Computing, v. V, p. 1-1, 2020.
  4. Quispe, R. ; Ttito, D. ; Ramírez Rivera, A. ; Pedrini, H. . Multi-stream networks and ground-truth generation for crowd counting. International Journal of Electrical and Computer Engineering Systems, v. V, p. 1, 2020.
  5. Ramírez Rivera, A.; Khan, A. ; Bekkouch, I. ; Sheikh, T. . Anomaly Detection Based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation. IEEE Transactions on Neural Networks and Learning Systems, p. 1-11, 2020.
  6. RYU, BYUNGYONG ; Rivera, Adin Ramirez ; KIM, JAEMYUN ; CHAE, OKSAM . Local Directional Ternary Pattern for Facial Expression Recognition. IEEE TRANSACTIONS ON IMAGE PROCESSING, v. PP, p. 1-13, 2017.
  7. Rivera, Adin Ramirez; CHAE, OKSAM . Spatiotemporal Directional Number Transitional Graph for Dynamic Texture Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 37, p. 2146-2152, 2015.
  8. RAMÍREZ RIVERA, ADÍN; ROJAS CASTILLO, JORGE ; CHAE, OKSAM . Local Directional Texture Pattern image descriptor. Pattern Recognition Letters, v. 51, p. 94-100, 2015.
  9. KIM, JAEMYUN ; MURSHED, MAHBUB ; RAMIREZ, ADIN ; CHAE, OKSAM . Background Modelling Using Edge-Segment Distributions. International Journal of Advanced Robotic Systems (Print), v. 10, p. 1, 2013.
  10. Rivera, Adin Ramirez; MURSHED, MAHBUB ; KIM, JAEMYUN ; CHAE, OKSAM . Background Modeling Through Statistical Edge-Segment Distributions. IEEE Transactions on Circuits and Systems for Video Technology (Print), v. 23, p. 1375-1387, 2013.
  11. RAMIREZ RIVERA, ADIN; ROJAS CASTILLO, JORGE ; OKSAM CHAE, OKSAM . Local Directional Number Pattern for Face Analysis: Face and Expression Recognition. IEEE Transactions on Image Processing, v. 22, p. 1740-1752, 2013.
  12. Murshed, M. ; Ramírez Rivera, A. ; Kim, J. ; Chae, O. . Statistical Binary Edge Frequency Accumulation Model for Moving Object Detection. International Journal of Innovative Computing, Information & Control, v. 8, p. 4943, 2012.
  13. RAMIREZ RIVERA, ADIN; BYUNGYONG RYU ; CHAE, OKSAM . Content-Aware Dark Image Enhancement Through Channel Division. IEEE Transactions on Image Processing, v. 21, p. 3967-3980, 2012.
  14. Rojas Castillo, J. ; Ramírez Rivera, A. ; Chae, O. . Robust Facial Recognition Based on Local Gaussian Structural Pattern. International Journal of Innovative Computing, Information & Control, v. 8, p. 8399, 2012.


Ricardo Torres

  1. PEDRONETTE, DANIEL CARLOS GUIMARÃES ; VALEM, LUCAS PASCOTTI ; TORRES, RICARDO DA S. . A BFS-Tree of ranking references for unsupervised manifold learning. PATTERN RECOGNITION, v. 111, p. 107666, 2021.
  2. GOMES, LUIZ ALBERTO FERREIRA ; da Silva Torres, Ricardo ; CÔRTES, MARIO LÚCIO . On the prediction of long-lived bugs: An analysis and comparative study using FLOSS projects. INFORMATION AND SOFTWARE TECHNOLOGY, v. 132, p. 106508, 2021.
  3. MERLIN, MURILO ; CUNHA, SERGIO AUGUSTO ; MOURA, FELIPE ARRUDA ; TORRES, Ricardo da Silva ; GONÇALVES, BRUNO ; SAMPAIO, JAIME . Exploring the determinants of success in different clusters of ball possession sequences in soccer. Research in Sports Medicine, v. 28, p. 339-350, 2020.
  4. ALMEIDA, ALEXANDRE G. ; MERLIN, MURILO ; PINTO, ALLAN ; TORRES, RICARDO DA S. ; CUNHA, SERGIO A. . Performance-level indicators of male elite handball teams. International Journal of Performance Analysis in Sport, v. 20, p. 1-9, 2020.
  5. PISANI, FLÁVIA ; PASCOTTI VALEM, LUCAS ; GUIMARÃES PEDRONETTE, DANIEL CARLOS ; DA S. TORRES, RICARDO ; BORIN, EDSON ; BRETERNITZ, MAURICIO . A unified model for accelerating unsupervised iterative re ranking algorithms. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v. 32, p. e5702, 2020.
  6. GUEVARA, JUDY C. ; TORRES, RICARDO DA S. ; DA FONSECA, NELSON L.S. . On the classification of fog computing applications: A machine learning perspective. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, v. 159, p. 102596, 2020.
  7. CAMPANA, JOSE L. FLORES ; PINTO, ALLAN ; NEIRA, MANUEL CORDOVA ; DECKER, LUIS G. L. ; SANTOS, ANDREZA ; CONCEICAO, JHONATAS S. ; TORRES, Ricardo da Silva . On the Fusion of Text Detection Results: A Genetic Programming Approach. IEEE Access, v. 8, p. 81257-81270, 2020.
  8. STREHER, ANNIA SUSIN ; TORRES, Ricardo da Silva ; MORELLATO, LEONOR PATRÍCIA CERDEIRA ; SILVA, THIAGO SANNA FREIRE . Accuracy and limitations for spectroscopic prediction of leaf traits in seasonally dry tropical environments. REMOTE SENSING OF ENVIRONMENT, v. 244, p. 111828, 2020.
  9. SILVA, EWERTON ; TORRES, RICARDO DA S. ; ALBERTON, BRUNA ; MORELLATO, LEONOR PATRICIA C. ; SILVA, THIAGO S. F. . A Change-Driven Image Foveation Approach for Tracking Plant Phenology. Remote Sensing, v. 12, p. 1409, 2020.
  10. GOBATTO, C. A. ; TORRES, R. S. ; Moura, F. A. ; CUNHA, S. A. ; GIOMETTI, C. B. ; ARAUJO, G. G. ; SOUSA, F. A. B. ; MANCHADO-GOBATTO, F. B. . Corresponding Assessment Scenarios in Laboratory and on-Court Tests: Centrality Measurements by Complex Networks Analysis in Young Basketball Players. Scientific Reports, v. 10, p. 1-10, 2020.
  11. SILVA, EWERTON ; TORRES, R. da Silva ; PINTO, ALLAN ; Li, L. T. ; Vianna, J. E. ; Azevedo, R. J. ; Goldenstein, S. K. . Application-Oriented Retinal Image Models for Computer Vision. SENSORS, v. 20, p. 3746, 2020.
  12. FADEL, SAMUEL G. ; TORRES, RICARDO DA S. . Neural relational inference for disaster multimedia retrieval. MULTIMEDIA TOOLS AND APPLICATIONS, v. 79, p. 26735-26746, 2020.
  13. ALBARRACÍN, JUAN F. H. ; OLIVEIRA, RAFAEL S. ; HIROTA, MARINA ; DOS SANTOS, JEFERSSON A. ; TORRES, RICARDO DA S. . A Soft Computing Approach for Selecting and Combining Spectral Bands. Remote Sensing, v. 12, p. 2267, 2020.
  14. DIAS, DANIELLE ; DIAS, ULISSES ; MENINI, NATHALIA ; LAMPARELLI, RUBENS ; LE MAIRE, GUERRIC ; TORRES, RICARDO DA S. . Image-Based Time Series Representations for Pixelwise Eucalyptus Region Classification: A Comparative Study. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, v. 17, p. 1450-1454, 2020.
  15. PADILHA, RAFAEL ; ANDALÓ, FERNANDA A. ; BERTOCCO, GABRIEL ; ALMEIDA, WALDIR R. ; DIAS, WILLIAM ; RESEK, THIAGO ; TORRES, RICARDO DA S. ; WAINER, JACQUES ; ROCHA, ANDERSON . Two-tiered face verification with low-memory footprint for mobile devices. IET Biometrics, v. 9, p. 205-215, 2020.
  16. BELTRAME, THOMAS ; GOIS, MARIANA DE OLIVEIRA ; HOFFMANN, UWE ; KOSCHATE, JESSICA ; HUGHSON, RICHARD LEE ; FRADE, MARIA CECÍLIA MORAES ; LINARES, STEPHANIE NOGUEIRA ; TORRES, Ricardo da Silva ; CATAI, APARECIDA MARIA . Relationship between maximal aerobic power with aerobic fitness as a function of signal-to-noise ratio. JOURNAL OF APPLIED PHYSIOLOGY, v. 129, p. 522-532, 2020.
  17. DIAS, DANIELLE ; PINTO, ALLAN ; DIAS, ULISSES ; LAMPARELLI, RUBENS ; LE MAIRE, GUERRIC ; TORRES, RICARDO DA S. . A Multi-Representational Fusion of Time Series for Pixelwise Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 13, p. 1-1, 2020.
  18. ALMEIDA, WALDIR R. ; ANDALÓ, FERNANDA A. ; PADILHA, RAFAEL ; BERTOCCO, GABRIEL ; DIAS, WILLIAM ; TORRES, RICARDO DA S. ; WAINER, JACQUES ; ROCHA, ANDERSON . Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function. PLoS One, v. 15, p. e0238058, 2020.
  19. ROSSANEZ, ANDERSON ; DOS REIS, JULIO CESAR ; TORRES, Ricardo da Silva ; DE RIBAUPIERRE, HÉLÈNE . KGen: a knowledge graph generator from biomedical scientific literature. BMC Medical Informatics and Decision Making, v. 20, p. 26735-26746, 2020.
  20. CARRASCO, ALINE C. ; SILVA, MARIANA F. ; GUENKA, LEANDRO C. ; BUENO, MURILO J.O. ; DELA BELA, LAÍS F. ; TORRES, RICARDO S. ; MOURA, FELIPE A. ; CARDOSO, JEFFERSON R. . Test-retest reliability of multiscale fractal dimension measurements of plantar pressure maps during dynamic tasks. JOURNAL OF BIOMECHANICS, v. 113, p. 110103, 2020.
  21. CORDOVA, MANUEL ; PINTO, ALLAN ; PEDRINI, HELIO ; TORRES, RICARDO DA S. . Pelee-Text++: A Tiny Neural Network for Scene Text Detection. IEEE Access, v. 8, p. 223172-223188, 2020.
  22. DOURADO, ÍCARO CAVALCANTE ; GALANTE, RENATA ; GONÇALVES, MARCOS ANDRÉ ; da Silva Torres, Ricardo . Bag of textual graphs (BoTG): A general graph-based text representation model. Journal of the Association for Information Science and Technology, v. 70, p. 817-829, 2019.
  23. MENINI, NATHALIA ; ALMEIDA, ALEXANDRE E. ; LAMPARELLI, RUBENS ; MAIRE, GUERRIC LE ; SANTOS, JEFERSSON A. DOS ; PEDRINI, HELIO ; HIROTA, MARINA ; TORRES, RICARDO DA S. . A Soft Computing Framework for Image Classification Based on Recurrence Plots. IEEE Geoscience and Remote Sensing Letters, v. 16, p. 320-324, 2019.
  24. Santos, C. ; Lamparelli, R. ; Figueiredo, G. ; Dupuy, S. ; Boury, J. ; Santos, A. C. ; TORRES, R. da S. ; Le Maire, G. . Crops, pastures, and tree plantations classification along the season with multi-sensors image time-series in a subtropical agricultural region. Remote Sensing, v. 11, p. 1-27, 2019.
  25. Oliveira, A. ; Oakley, E. ; TORRES, R. da S. ; Rocha, A. . Relevance Prediction in Similarity-Search Systems Using Extreme Value Theory. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, p. 236-249, 2019.
  26. Nogueira, K. ; Santos, J. A. ; Menini, N. ; Silva, T. S. F. ; Morellato, L. P. C. ; TORRES, R. da S. . Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks. IEEE Geoscience and Remote Sensing Letters, v. 16, p. 1665-1669, 2019.
  27. Caetano, F. ; Panula, V. ; TORRES, R. da S. ; Anido, R. O. ; Cunha, S. ; Moura, F. A. . Analysis of match dynamics of different soccer competition levels based on the player dyads. Journal of Human Kinetics, v. 70, p. 173-182, 2019.
  28. Rodrigues, D. C. U. ; Moura, F. A. ; Cunha, S. ; TORRES, R. da S. . Graph Visual Rhythms in Temporal Network Analyses. GRAPHICAL MODELS, v. 103, p. 101021, 2019.
  29. Dourado, I. C. ; Pedronette, D. C. G. ; TORRES, R. da S. . Unsupervised Graph-based Rank Aggregation for Improved Retrieval. INFORMATION PROCESSING & MANAGEMENT, v. 56, p. 1260-1279, 2019.
  30. Mariano, G. ; Alberton, B. ; Morellato, L. P. C. ; TORRES, R. da Silva . RadialPheno: A tool for near surface phenology analysis through radial layouts. Applications in Plant Sciences, v. 7, p. e01253, 2019.
  31. Pedronette, D. C. G. ; Valem, L. P. ; Almeida, J. G. A. ; TORRES, R. da S. . Multimedia Retrieval through Unsupervised Hypergraph-based Manifold Ranking. IEEE Transactions on Image Processing, v. 28, p. 5824-5838, 2019.
  32. Menini, N. ; Almeida, A. E. ; Lamparelli, R. ; Le Maire, G. ; Oliveira, R. S. ; Verbesselt, J. ; Hirota, M. ; TORRES, R. da S. . Tucumã: A toolbox for spatiotemporal remote sensing image analysis [Software and Data Sets]. IEEE Geoscience and Remote Sensing Magazine, v. 7, p. 110-122, 2019.
  33. Muñoz, J. M. ; Gonçalves, M. A. ; Dias, Z. ; TORRES, R. da Silva . Hierarchical Clustering-Based Graphs for Large Scale Approximate Nearest Neighbor Search. PATTERN RECOGNITION, v. 96, p. 106970, 2019.
  34. Gomes, L. A. F. ; TORRES, R. da S. ; Cortes, M. L. . Bug Report Severity Level Prediction in Open Source Software: A Survey and Research Opportunities. INFORMATION AND SOFTWARE TECHNOLOGY, v. 115, p. 58-78, 2019.
  35. Werneck, R. O. ; Raveaux, R. ; Tabbone, S. ; TORRES, R. da S. . Learning Cost Function for Graph Classification with Open-Set Methods. PATTERN RECOGNITION LETTERS, v. 128, p. 8-15, 2019.
  36. Alberton, B. ; TORRES, R. da S. ; Silva, T. S. F. ; Rocha, H. ; Moura, M. S. B. ; Morellato, L. P. C. . Leafing Patterns and Drivers across Seasonally Dry Tropical Communities. Remote Sensing, v. 11, p. 2267, 2019.
  37. Werneck, R. O. ; Almeida, W. ; Stein, B. ; Pazinato, D. ; Mendes, P. R. ; Penatti, O. A. B. ; Rocha, A. ; TORRES, R. da S. . Kuaa: A unified framework for design, deployment, execution, and recommendation of machine learning experiments. Future Generation Computer Systems, v. 78, p. 59-76, 2018.
  38. Silva, F. B. ; Werneck, R. O. ; Goldenstein, S. K. ; Tabbone, S. ; TORRES, R. da S. . Graph-based Bag-of-Words for Classification. PATTERN RECOGNITION, v. 74, p. 266-285, 2018.
  39. PEREIRA, LUÍS A.M. ; TORRES, Ricardo da Silva . Semi-Supervised Transfer Subspace for Domain Adaptation. PATTERN RECOGNITION, v. 75, p. 235-249, 2018.
  40. NEIRA, MANUEL A. CORDOVA ; JUNIOR, PEDRO R. MENDES ; ROCHA, ANDERSON ; TORRES, RICARDO DA S. . Data-Fusion Techniques for Open-set Recognition Problems. IEEE Access, v. 6, p. 21242-21265, 2018.
  41. Esmael, A. ; Santos, J. A. ; TORRES, R. da S. . On the ensemble of multiscale object-based classifiers for aerial images: a comparative study. MULTIMEDIA TOOLS AND APPLICATIONS, v. 77, p. 24565-24592, 2018.
  42. MARIANO, GREICE C. ; STAGGEMEIER, VANESSA G. ; MORELLATO, LEONOR PATRICIA CERDEIRA ; DA S. TORRES, RICARDO . Multivariate cyclical data visualization using radial visual rhythms: A case study in phenology analysis. Ecological Informatics, v. 46, p. 19-35, 2018.
  43. Nogueira, K. ; Fadel, S. G. ; Dourado, I. C. ; Werneck, R. O. ; Muñoz, J. M. ; Penatti, O. A. B. ; Calumby, R. T. ; Li, L. T. ; Santos, J. A. ; TORRES, R. da Silva . Exploiting ConvNet Diversity for Flooding Identification. IEEE Geoscience and Remote Sensing Letters, v. 15, p. 1446-1450, 2018.
  44. Ribeiro, R. V. ; TORRES, R. da S. . Sentinel plants as programmable processing units: insights from a multidisciplinary perspective about stress memory and plant signaling and their relevance at community level. PLANT SIGNALLING & BEHAVIOR (ONLINE), v. 13, p. 1-3, 2018.
  45. Souza, N. ; Caetano, F. ; Santiago, P. ; Cunha, S. ; TORRES, R. da S. ; Moura, F. A. . Space configuration and numerical relationship during professional soccer matches: a proposal for small-sided games design. Human Movement, v. 2018, p. 121-128, 2018.
  46. Calumby, R. T. ; Gonçalves, M. A. ; TORRES, R. da S. . Diversity-based Interactive Learning meets Multimodality. NEUROCOMPUTING, v. 259, p. 159-175, 2017.
  47. Pisani, F. ; Pedronette, D. C. G. ; TORRES, R. da S. ; Borin, E. . Contextual Spaces Re-Ranking: accelerating the Re-sort Ranked Lists step on heterogeneous systems. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v. 29, p. e3962, 2017.
  48. MENDES JÚNIOR, PEDRO R. ; DE SOUZA, ROBERTO M. ; WERNECK, RAFAEL DE O. ; STEIN, BERNARDO V. ; PAZINATO, DANIEL V. ; DE ALMEIDA, WALDIR R. ; PENATTI, OTÁVIO A. B. ; TORRES, RICARDO DA S. ; ROCHA, ANDERSON . Nearest neighbors distance ratio open-set classifier. MACHINE LEARNING, v. 106, p. 359-386, 2017.
  49. Pedronette, D. C. G. ; TORRES, R. da S. . Unsupervised Rank Diffusion for Content-Based Image Retrieval. NEUROCOMPUTING, v. 260, p. 478-489, 2017.
  50. Almeida, A. E. ; TORRES, R. da S. . Remote Sensing Image Classification Using Genetic-Programming-Based Time Series Similarity Functions. IEEE Geoscience and Remote Sensing Letters, v. 14, p. 1499-1503, 2017.
  51. Alberton, B. ; TORRES, R. da Silva ; Cancian, L. ; Borges, B. D. ; Almeida, J. G. A. ; Mariano, G. ; Santos, J. A. ; Morellato, L. P. C. . Introducing digital cameras to monitor plant phenology in the tropics: applications for conservation. Perspectives in Ecology and Conservation, v. 15, p. 82-90, 2017.
  52. Moura, F. A. ; Marche, A. L. ; Caetano, F. G. ; TORRES, R. da S. ; Martins, L. E. B. ; Cunha, S. . Analysis of high-intensity efforts of Brazilian professional soccer players. Human Movement, v. 0, p. 3-10, 2017.
  53. Santos, J. M. ; Moura, E. S. ; Silva, A. S. ; TORRES, R. da S. . Color and texture applied to a signature-based bag of visual words method for image retrieval. MULTIMEDIA TOOLS AND APPLICATIONS, v. 76, p. 16855-16872, 2017.
  54. Pedronette, D. C. G. ; TORRES, R. da S. . Combining re-ranking and rank aggregation methods for image retrieval. Multimedia Tools and Applications, v. 75, p. 9121-9144, 2016.
  55. Carvalho, T. ; Faria, F. ; Pedrini, H. ; TORRES, R. da S. ; Rocha, A. . Illuminant-based Transformed Spaces for Image Forensics. IEEE Transactions on Information Forensics and Security, v. 11, p. 720-733, 2016.
  56. PAZINATO, DANIEL ; STEIN, BERNARDO ; ALMEIDA, WALDIR ; WERNECK, RAFAEL ; MENDES JUNIOR, PEDRO ; PENATTI, OTAVIO ; TORRES, RICARDO ; MENEZES, FABIO H ; ROCHA, ANDERSON . Pixel-Level Tissue Classification for Ultrasound Images. IEEE J BIOMED HEALTH, v. 20, p. 256-267, 2016.
  57. Saraiva, P. C. ; Cavalcanti, J. M. B. ; Moura, E. S. ; Gonçalves, M. A. ; TORRES, R. da S. . A multimodal query expansion based on genetic programming for visually-oriented e-commerce applications. Information Processing & Management, v. 52, p. 783-800, 2016.
  58. Faria, F. ; Almeida, J. G. A. ; Alberton, B. ; Morellato, L. P. C. ; TORRES, R. da Silva . Fusion of Time Series Representations for Plant Recognition in Phenology Studies. Pattern Recognition Letters, v. 83, p. 205-214, 2016.
  59. Mariano, G. ; Morellato, L. P. C. ; Almeida, J. G. A. ; Alberton, B. ; Camargo, M. G. G. ; TORRES, R. da S. . Modeling plant phenology database: Blending near-surface remote phenology with on-the-ground observations. Ecological Engineering, v. 91, p. 396-408, 2016.
  60. Perre, P. ; Faria, F. ; Jorge, L. R. ; Rocha, A. ; TORRES, R. da S. ; Lewinsohn, T. M. ; Zucchi, R. A. . Toward an Automated Identification of Anastrepha Fruit Flies in the fraterculus group (Diptera, Tephritidae). Neotropical Entomology (Impresso), v. 45, p. 554-558, 2016.
  61. Calumby, R. T. ; Gonçalves, M. A. ; TORRES, R. da S. . On Interactive Learning-to-Rank for IR: Overview, Recent Advances, Challenges, and Directions. Neurocomputing (Amsterdam), v. 208, p. 3-24, 2016.
  62. Pedronette, D. C. G. ; TORRES, R. da S. . A Correlation Graph Approach for Unsupervised Manifold Learning in Image Retrieval Tasks. Neurocomputing (Amsterdam), v. 208, p. 66-79, 2016.
  63. Pedronette, D. C. G. ; Almeida, J. G. A. ; TORRES, R. da S. . A graph-based ranked-list model for unsupervised distance learning on shape retrieval. Pattern Recognition Letters, v. 83, p. 357-387, 2016.
  64. Freitas, A. M. ; TORRES, R. da S. ; Miranda, P. . TSS & TSB: Tensor scale descriptors within circular sectors for fast shape retrieval. Pattern Recognition Letters, v. 83, p. 303-311, 2016.
  65. LEITE, ROGER A. ; SCHNORR, LUCAS MELLO ; Almeida, Jurandy ; ALBERTON, BRUNA ; MORELLATO, LEONOR PATRICIA C. ; TORRES, RICARDO DA S. ; COMBA, JOÃO L.D. . PhenoVis – A Tool for Visual Phenological Analysis of Digital Camera Images Using Chronological Percentage Maps. Information Sciences, v. 372, p. 181-195, 2016.
  66. Almeida, J. G. A. ; Pedronette, D. C. G. ; Alberton, B. ; Morellato, L. P. C. ; TORRES, R. da S. . Unsupervised Distance Learning for Plant Species Identification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 9, p. 5325-5338, 2016.
  67. Almeida, Jurandy ; DOS SANTOS, JEFERSSON A. ; ALBERTON, BRUNA ; MORELLATO, LEONOR PATRICIA C. ; DA S. TORRES, RICARDO . Phenological visual rhythms: Compact representations for fine-grained plant species identification. Pattern Recognition Letters, v. 81, p. 90-100, 2016.
  68. FARIA, FABIO A. ; Almeida, Jurandy ; ALBERTON, BRUNA ; MORELLATO, LEONOR PATRICIA C. ; ROCHA, ANDERSON ; DA S. TORRES, RICARDO . Time series-based classifier fusion for fine-grained plant species recognition. Pattern Recognition Letters, v. 81, p. 101-109, 2016.
  69. RODRIGUES LUCENA, TIAGO FRANKLIN ; FLEURY ROSA, SUÉLIA RODRIGUES ; JACQUES MIOSSO, CRISTIANO ; da Silva Torres, Ricardo ; KRUEGER, TED ; GALLICCHIO DOMINGUES, DIANA MARIA . Walking and health: an enactive affective system. Digital Creativity (Exeter), v. 27, p. 314-333, 2016.
  70. Almeida, Jurandy ; DOS SANTOS, JEFERSSON A. ; MIRANDA, WANER O. ; ALBERTON, BRUNA ; MORELLATO, LEONOR PATRICIA C. ; DA S. TORRES, RICARDO . Deriving vegetation indices for phenology analysis using genetic programming. Ecological Informatics (Print), v. 26, p. 61-69, 2015.
  71. Santos, J. M. ; Moura, E. S. ; Silva, A. S. ; Cavalcanti, J. M. B. ; TORRES, R. da S. ; Vidal, M. . A Signature-based Bag of Visual Words Method for Image Indexing and Search. Pattern Recognition Letters, v. 65, p. 1-7, 2015.
  72. Pedronette, D. C. G. ; Calumby, R. T. ; TORRES, R. da S. . A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval. EURASIP J IMAGE VIDE, v. 2015, p. 1-15, 2015.
  73. Penatti, O. A. B. ; Werneck, R. ; Almeida, W. ; Stein, B. ; Pazinato, D. ; Mendes, P. R. ; TORRES, R. da S. ; Rocha, A. . Mid-level Image Representations for Real-time Heart View Plane Classification of Echocardiograms. Computers in Biology and Medicine, v. 6, p. 66-81, 2015.
  74. Pedronette, D. C. G. ; TORRES, R. da S. ; Calumby, R. T. . Using Contextual Spaces for Image Re-Ranking and Rank Aggregation. Multimedia Tools and Applications, v. 69, p. 689-716, 2014.
  75. Calumby, R. T. ; TORRES, R. da S. ; Gonçalves, M. A. . Multimodal Retrieval with Relevance Feedback Based on Genetic Programming. Multimedia Tools and Applications, v. 69, p. 991-1019, 2014.
  76. Nakamura, R. ; Fonseca, L. M. G. ; Santos, J. A. ; TORRES, R. da S. ; Yang, X.-S. ; Papa, J. P. . Nature-Inspired Framework for Hyperspectral Band Selection. IEEE Transactions on Geoscience and Remote Sensing, v. 52, p. 2126-2137, 2014.
  77. Teodoro, G. ; Valle, E. A. ; Mariano, N. ; TORRES, R. da S. ; Meira, W. ; Saltz, J. H. . Approximate similarity search for online multimedia services on distributed CPU-GPU platforms. The VLDB Journal, v. 23, p. 427-448, 2014.
  78. Pedronette, D. C. G. ; Almeida, J. G. A. ; TORRES, R. da S. . A Scalable Re-Ranking Method for Content-Based Image Retrieval. Information Sciences, v. 265, p. 91-104, 2014.
  79. FARIA, FABIO A. ; Pedronette, D. C. G. ; Santos, J. A. ; Rocha, A. ; TORRES, R. da S. . Rank Aggregation for Pattern Classifier Selection in Remote Sensing Images. IEEE J-STARS, v. 7, p. 1103-1115, 2014.
  80. PEDRONETTE, DANIEL CARLOS GUIMARÃES ; PENATTI, OTÁVIO A.B. ; TORRES, RICARDO DA S. . Unsupervised Manifold Learning Using Reciprocal kNN Graphs in Image Re-Ranking and Rank Aggregation Tasks. Image and Vision Computing, v. 32, p. 120-130, 2014.
  81. ALBERTON, BRUNA ; Almeida, Jurandy ; HENNEKEN, RAIMUND ; DA S. TORRES, RICARDO ; MENZEL, ANNETTE ; MORELLATO, LEONOR PATRICIA C. . Using phenological cameras to track the green up in a cerrado savanna and its on-the-ground validation. Ecological Informatics (Print), v. 19, p. 62-70, 2014.
  82. FARIA, FABIO A. ; DOS SANTOS, JEFERSSON A. ; ROCHA, ANDERSON ; TORRES, RICARDO DA S. . A framework for selection and fusion of pattern classifiers in multimedia recognition. Pattern Recognition Letters, v. 39, p. 52-64, 2014.
  83. PENATTI, OTÁVIO A.B. ; SILVA, FERNANDA B. ; Valle, Eduardo ; GOUET-BRUNET, VALERIE ; TORRES, RICARDO DA S. . Visual word spatial arrangement for image retrieval and classification. Pattern Recognition, v. 47, p. 705-720, 2014.
  84. FARIA, FABIO A. ; Perre, P. ; Zucchi, R. A. ; Jorge, L. R. ; Lewinsohn, T. ; Rocha, A. ; TORRES, R. da Silva . Automatic identification of fruit flies (Diptera: Tephritidae). Journal of Visual Communication and Image Representation (Print), v. 25, p. 1516-1527, 2014.
  85. Almeida, Jurandy ; DOS SANTOS, JEFERSSON A. ; ALBERTON, BRUNA ; TORRES, RICARDO DA S. ; MORELLATO, LEONOR PATRICIA C. . Applying machine learning based on multiscale classifiers to detect remote phenology patterns in Cerrado savanna trees. Ecological Informatics (Print), v. 23, p. 49-61, 2014.
  86. Mansano, A. ; Matsuoka, J. A. ; Abiuzzi, N. A. M. ; Afonso, L. C. S. ; PAPA, J. ; Faria, F. ; TORRES, R. da S. ; Falcão, A. X. . Swarm-based Descriptor Combination and its Application for Image Classification. ELCVIA. Electronic letters on computer vision and image analysis, v. 13, p. 13-27, 2014.
  87. LI, LIN TZY ; PEDRONETTE, DANIEL CARLOS GUIMARÃES ; Almeida, Jurandy ; PENATTI, OTÁVIO A. B. ; CALUMBY, RODRIGO TRIPODI ; TORRES, Ricardo da Silva . A rank aggregation framework for video multimodal geocoding. Multimedia Tools and Applications (Dordrecht. Online), v. 73, p. 1323-1359, 2014.
  88. DOS SANTOS, JEFERSSON A. ; PENATTI, OTAVIO A. B. ; GOSSELIN, PHILIPPE-HENRI ; FALCAO, ALEXANDRE X. ; PHILIPP-FOLIGUET, SYLVIE ; TORRES, RICARDO DA S. . Efficient and Effective Hierarchical Feature Propagation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 7, p. 4632-4643, 2014.
  89. Almeida, J. G. A. ; Leite, N. J. ; TORRES, R. da S. . Online Video Summarization on Compressed Domain. Journal of Visual Communication and Image Representation (Print), v. 24, p. 729-738, 2013.
  90. Murthy, U. ; Fox, E. A. ; Chen, Y. ; Hallerm, E. M. ; Orth, D. J. ; TORRES, R. da S. ; Li, L. T. ; Kozievitch, N. P. ; Andrade, F. ; Falcão, T. R. C. ; Ramos, E. J. . SuperIDR: A Tool for Fish Identification and Information Retrieval. Fisheries (Bethesda, Md.), v. 38, p. 65-75, 2013.
  91. Saraiva, P. C. ; Cavalcanti, J. M. B. ; Gonçalves, M. A. ; Santos, K. ; Moura, E. S. ; TORRES, R. da S. . Evaluation of parameters for combining multiple textual sources of evidence for Web image retrieval using Genetic Programming. Journal of the Brazilian Computer Society (Impresso), v. 19, p. 147-160, 2013.
  92. Pedronette, D. C. G. ; TORRES, R. da S. . Image Re-Ranking and Rank Aggregation based on Similarity of Ranked Lists. Pattern Recognition, v. 46, p. 2350-2360, 2013.
  93. DOS SANTOS ; GOSSELIN, PHILIPPE-HENRI ; PHILIPP-FOLIGUET, SYLVIE ; TORRES, RICARDO DA S. ; FALCAO, ALEXANDRE XAVIER . Interactive Multiscale Classification of High-Resolution Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 6, p. 2020-2034, 2013.
  94. Penatti, O. A. B. ; Valle, Eduardo ; TORRES, R. da S. . Comparative study of global color and texture descriptors for web image retrieval. Journal of Visual Communication and Image Representation (Print), v. 23, p. 359-380, 2012.
  95. Silva, A. T. ; Santos, J. A. ; Falcão, A. X. ; TORRES, R. da S. ; Magalhães, L. P. . Incorporating Multiple Distance Spaces in Optimum-path Forest Classification to Improve Feedback-based Learning. Computer Vision and Image Understanding (Print), v. 116, p. 510-523, 2012.
  96. Almeida, J. G. A. ; Leite, N. J. ; TORRES, R. da S. . VISON: Video Summarization for Online Applications. Pattern Recognition Letters, v. 33, p. 397-409, 2012.
  97. Santos, J. A. ; Gosselin, P.-H. ; Phillip-Foliguet, S. ; TORRES, R. da S. ; Falcão, A. X. . Multi-Scale Classification of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, v. 50, p. 3764-3775, 2012.
  98. Pedronette, D. C. G. ; TORRES, R. da S. . Exploiting Contextual Information for Image Re-Ranking and Rank Aggregation. International Journal of Multimedia Information Retrieval, v. 1, p. 115-128, 2012.
  99. Pedronette, D. C. G. ; TORRES, R. da S. . Exploiting Pairwise Recommendation and Clustering Strategies for Image Re-Ranking. Information Sciences, v. 207, p. 19-34, 2012.
  100. Kozievitch, N. P. ; Almeida, J. G. A. ; TORRES, R. da S. ; Santanchè, A. ; Leite, N. J. ; Murthy, U. ; Fox, E. A. . Reusing a Compound-Based Infrastructure for Searching and Annotating Video Stories. International Journal of Multimedia Technology, v. 2, p. 89-97, 2012.
  101. Mariote, L. ; Medeiros, C. B. ; TORRES, R. da S. ; Bueno, L. M. . TIDES – A New Descriptor for Time Series Oscillation Behavior. Geoinformatica (Dordrecht), v. 15, p. 75-109, 2011.
  102. Ferreira, C.D. ; Santos, J. A. ; TORRES, R. da S. ; Gonçalves, M.A. ; Rezende, R.C. ; Fan, W. . Relevance feedback based on genetic programming for image retrieval. Pattern Recognition Letters, v. 32, p. 27-37, 2011.
  103. Santos, J. A. ; Ferreira, C. D. ; TORRES, R. da S. ; Gonçalves, M. A. ; Lamparelli, R. . A relevance feedback method based on genetic programming for classification of remote sensing images. Information Sciences, v. 181, p. 2671-2684, 2011.
  104. Pinto-Cáceres, S. M ; Almeida, J. G. A. ; Neris, V. ; Baranauskas, M. C. ; Leite, N. J. ; TORRES, R. da S. . Navigating through Video Stories using Clustering Sets. International Journal of Multimedia Data Engineering and Management, v. 2, p. 1-20, 2011.
  105. Kozievitch, N. P. ; TORRES, R. da S. ; Santanchè, A. ; Pedronette, D. C. G. ; Calumby, R. T. ; Fox, E. A. . An Infrastructure for Searching and Harvesting Complex Image Objects. The Information – Interaction – Intelligence (I3) Journal, v. 11, p. 39-68, 2011.
  106. Kozievitch, N. P. ; Almeida, J. G. A. ; TORRES, R. da S. ; Leite, N. J. ; Gonçalves, M. A. ; Murthy, U. ; Fox, E. A. . Towards a Formal Theory for Complex Objects and Content-Based Image Retrieval. Journal of Information and Data Management – JIDM, v. 2, p. 321-336, 2011.
  107. Kimura, P. ; Cavalcanti, J. M. B. ; Saraiva, P. C. ; TORRES, R. da S. ; Gonçalves, M. A. . Evaluating Retrieval Effectiveness of Descriptors for Searching in Large Image Databases. Journal of Information and Data Management – JIDM, v. 2, p. 305-320, 2011.
  108. Medeiros, C. B. ; Santanchè, A. ; Madeira, E. R. M. ; Martins, E. ; Magalhães, G. C. ; Baranauskas, M. C. ; Leite, N. J. ; TORRES, R. da S. . Data Driven Research at LIS: the Laboratory of Information Systems at UNICAMP. Journal of Information and Data Management – JIDM, v. 2, p. 93-108, 2011.
  109. Gil, F. B. ; Kozievitch, N. P. ; TORRES, R. da S. . GeoNote: A Web Service for Geographic Data Annotation in Biodiversity Information Systems. Journal of Information and Data Management – JIDM, v. 2, p. 195-210, 2011.
  110. Pedronette, D. C. G. ; TORRES, R. da S. . Exploiting clustering approaches for image re-ranking. Journal of Visual Languages and Computing, v. 22, p. 453-466, 2011.
  111. Andaló, F. A. ; Miranda, P.A.V. ; TORRES, R. da S. ; Falcão, A. X. . Shape feature extraction and description based on tensor scale. Pattern Recognition, v. 43, p. 26-36, 2010.
  112. Almeida, J. G. A. ; Valle, E. A. ; TORRES, R. da S. ; Leite, N. J. . DAHC-tree: An Effective Index for Approximate Search in High-Dimensional Metric Spaces. Journal of Information and Data Management – JIDM, v. 1, p. 375-390, 2010.
  113. Li, L. T. ; TORRES, R. da S. . Revisitando os Desafios da Recuperação de Informação Geográfica na Web. Cadernos CPQD tecnologia, v. 6, p. 7-20, 2010.
  114. Montoya-Zegarra, J. A. ; Leite, N. J. ; TORRES, R. da S. . Wavelet-based fingerprint image retrieval. Journal of Computational and Applied Mathematics, v. 227, p. 294-307, 2009.
  115. TORRES, R. da S.; Falcão, A. X. ; Gonçalves, M. A. ; Papa, J. P. ; Zhang, B. ; Fan, W. ; Fox, E. A. . A genetic programming framework for content-based image retrieval. Pattern Recognition, v. 42, p. 283-292, 2009.
  116. Almeida, J. G. A. ; TORRES, R. da S. ; Goldenstein, S. K. . SIFT Applied to CBIR. Revista de Sistemas de Informação da FSMA, v. 4, p. 41-48, 2009.
  117. Montoya-Zegarra, Javier A. ; Papa, J. P. ; Leite, N. J. ; TORRES, R. da S. ; Falcão, A. X. . Learning How to Extract Rotation-Invariant and Scale-Invariant Features from Texture Images. EURASIP Journal on Advances in Signal Processing (Print), v. 2008, p. 1-16, 2008.
  118. TORRES, R. da S.; Falcão, A. X. . Contour Salience Descriptors for Effective Image Retrieval and Analysis. Image and Vision Computing, v. 25, p. 3-13, 2007.
  119. Penatti, O. A. B. ; TORRES, R. da S. . Descritor de Relacionamento Espacial Baseado em Partições. REIC. Revista Eletrônica de Iniciação Científica, v. VII, p. 3, 2007.
  120. TORRES, R. da S.; Medeiros, C. B. ; Gonçalves, M. A. ; Fox, E. A. . A Digital Library Framework for Biodiversity Information Systems. International Journal on Digital Libraries (Print), Berlin, v. 6, p. 3-17, 2006.
  121. TORRES, R. da S.; Falcão, A. X. . Content-Based Image Retrieval: Theory and Applications. Revista de Informática Teórica e Aplicada, Porto Alegre, RS, Brasil, v. 13, p. 161-185, 2006.
  122. Medeiros, C. B. ; Alcazar, J. P. ; Digiampietri, L. ; Pastorello, G. Z. ; Santanchè, A. ; TORRES, R. da S. ; Madeira, E. R. M. ; Bacarin, E. . WOODSS and the Web: Annotating and Reusing Scientific Workflows. SIGMOD Record, Estados Unidos, v. 34, p. 18-23, 2005.
  123. TORRES, R. da S.; Falcão, A. X. ; Costa, L. da F. . A Graph-based Approach for Multiscale Shape Analysis. Pattern Recognition, EUA, v. 37, p. 1163-1174, 2004.


Siome Goldenstein

  1. BARBOSA, ADRIANO ; PAULOVICH, FERNANDO ; PAIVA, AFONSO ; Goldenstein, Siome ; PETRONETTO, FABIANO ; NONATO, LUIS . Visualizing and Interacting with Kernelized Data. IEEE Transactions on Visualization and Computer Graphics, v. 22, p. 1314-1325, 2016.
  2. GRIJALVA, FELIPE ; MARTINI, LUIZ ; FLORENCIO, DINEI ; Goldenstein, Siome . A Manifold Learning Approach for Personalizing HRTFs from Anthropometric Features.. IEEE/ACM Transactions on Audio, Speech, and Language Processing, v. 24, p. 559-570, 2016.
  3. DE OLIVEIRA, ALBERTO A. ; FERRARA, PASQUALE ; DE ROSA, ALESSIA ; PIVA, ALESSANDRO ; BARNI, MAURO ; Goldenstein, Siome ; DIAS, ZANONI ; ROCHA, Anderson . Multiple Parenting Phylogeny Relationships in Digital Images. IEEE Transactions on Information Forensics and Security, v. 11, p. 328-343, 2016.
  4. OIKAWA, Marina A. ; DIAS, Zanoni ; ROCHA, Anderson ; GOLDENSTEIN, S. . Manifold Learning and Spectral Clustering for Image Phylogeny Forests. IEEE Transactions on Information Forensics and Security, v. 11, p. 5-18, 2016.
  5. Pires, Ramon ; CARVALHO, TIAGO ; SPURLING, GEOFFREY ; Goldenstein, Siome ; Wainer, Jacques ; LUCKIE, ALAN ; Jelinek, Herbert F. ; ROCHA, Anderson . Automated Multi-Lesion Detection for Referable Diabetic Retinopathy in Indigenous Health Care. Plos One, v. 10, p. e0127664, 2015.
  6. ANDALÓ, FERNANDA A. ; TAUBIN, GABRIEL ; Goldenstein, Siome . Efficient height measurements in single images based on the detection of vanishing points. Computer Vision and Image Understanding (Print), v. 138, p. 51-60, 2015.
  7. ROCHA, Anderson ; GOLDENSTEIN, SIOME KLEIN . Multiclass From Binary: Expanding One-Versus-All, One-Versus-One and ECOC-Based Approaches. IEEE Transactions on Neural Networks and Learning Systems, v. 25, p. 289-302, 2014.
  8. MORAIS, ERIKSON ; FERREIRA, ANSELMO ; CUNHA, SERGIO AUGUSTO ; BARROS, RICARDO M.L. ; ROCHA, Anderson ; Goldenstein, Siome . A multiple camera methodology for automatic localization and tracking of futsal players. Pattern Recognition Letters, v. 39, p. 21-30, 2014.
  9. DE O. COSTA, FILIPE ; OIKAWA, MARINA A. ; DIAS, ZANONI ; Goldenstein, Siome ; ROCHA, Anderson . Image Phylogeny Forests Reconstruction. IEEE Transactions on Information Forensics and Security, v. 9, p. 1-1, 2014.
  10. STROEH, K. ; MADEIRA, E. ; GOLDENSTEIN, S. . An approach to the correlation of security events based on machine learning techniques. Journal of Internet Services and Applications, v. 4, p. 7, 2013.
  11. Wainer, Jacques ; ECKMANN, M. ; GOLDENSTEIN, S. ; ROCHA, Anderson . How productivity and impact differ across computer science subareas. Communications of the ACM, v. 56, p. 67-73, 2013.
  12. DIAS, Z. ; GOLDENSTEIN, S. ; ROCHA, Anderson . Large-Scale Image Phylogeny: Tracing Back Image Ancestry Relationships. IEEE Multimedia, v. 20, p. 58-70, 2013.
  13. DIAS, Z. ; GOLDENSTEIN, S. ; ROCHA, Anderson . Toward image phylogeny forests: Automatically recovering semantically similar image relationships. Forensic Science International, v. 231, p. 178-189, 2013.
  14. DIAS, ZANONI ; Goldenstein, Siome ; ROCHA, Anderson . Exploring heuristic and optimum branching algorithms for image phylogeny. Journal of Visual Communication and Image Representation (Print), v. 24, p. 1124-1134, 2013.
  15. Pires, Ramon ; Jelinek, Herbert F. ; Wainer, Jacques ; Goldenstein, Siome ; VALLE, EDUARDO ; ROCHA, Anderson . Assessing the Need for Referral in Automatic Diabetic Retinopathy Detection. IEEE Transactions on Biomedical Engineering (Print), v. 60, p. 3391-3398, 2013.
  16. DIAS, Z. ; ROCHA, Anderson ; GOLDENSTEIN, S. . Image Phylogeny by Minimal Spanning Trees. IEEE Transactions on Information Forensics and Security, v. 7, p. 774-788, 2012.
  17. ROCHA, Anderson ; Carvalho, T. ; Jelinek, H. ; GOLDENSTEIN, S. ; WAINER, J. . Points of Interest and Visual Dictionaries for Automatic Retinal Lesion Detection. IEEE Transactions on Biomedical Engineering (Print), v. 59, p. 2244-2253, 2012.
  18. SABOIA, PRISCILA ; Goldenstein, Siome . Crowd simulation: applying mobile grids to the social force model. The Visual Computer (Internet), v. 28, p. 1039-1048, 2012.
  19. Dorini, Leyza Baldo ; GOLDENSTEIN, S. . Unscented feature tracking. Computer Vision and Image Understanding (Print), v. 115, p. 8-15, 2011.
  20. de Goes, Fernando ; Goldenstein, Siome ; Desbrun, Mathieu ; VELHO, Luiz . Exoskeleton: Curve network abstraction for 3D shapes. Computers & Graphics, v. 35, p. 112-121, 2011.
  21. BARROS, Ricardo Machado Leite de ; MENEZES, R. ; RUSSOMANNO, T. ; MISUTA, M. ; BRANDÃO, B. C. ; FIGUEROA, P. ; LEITE, Neucimar Jerônimo ; GOLDENSTEIN, S. . Measuring Handball Players Trajectories Using an Automatically Trained Boosting Algorithm. Computer Methods in Biomechanics and Biomedical Engineering, v. 14, p. 53-63, 2011.
  22. WAINER, J. ; GOLDENSTEIN, S. ; Billa, Cleo . Invisible work in standard bibliometric evaluation of computer science. Communications of the ACM, v. 54, p. 1-1, 2011.
  23. ROCHA, Anderson ; Scheirer, W. ; Boult, Terrance ; GOLDENSTEIN, S. . Vision of the Unseen: Current Trends and Challenges in Digital Image and Video Forensics. ACM Computing Surveys, v. 43, p. 26-42, 2011.
  24. ROCHA, Anderson ; HAUAGGE, D. ; WAINER, J. ; GOLDENSTEIN, S. . Automatic Fruit and Vegetable Classification from Images. Computers and Electronics in Agriculture, v. 70, p. 96-104, 2010.
  25. ROCHA, Anderson ; Goldenstein, Siome . Progressive randomization: Seeing the unseen. Computer Vision and Image Understanding, v. 114, p. 349-362, 2010.
  26. ALMEIDA JUNIOR, J. G. DE ; TORRES, R. ; GOLDENSTEIN, S. . SIFT applied to CBIR. Revista de Sistemas de Informação da FSMA, v. 4, p. 41-48, 2009.
  27. ROCHA, Anderson ; GOLDENSTEIN, S. . Steganography and Steganalysis in Digital Multimedia: Hype or Hallelujah?. Revista de Informática Teórica e Aplicada, v. 15, p. 83-110, 2008.
  28. VOGLER, Christian ; GOLDENSTEIN, S. . Facial Movement Analysis in ASL. Universal Access in the Information Society (Print), v. 6, p. 363-374, 2008.
  29. VOGLER, Christian ; GOLDENSTEIN, S. . Toward Computational Understanding of Sign Language. Technology and Disability, v. 20, p. 109-119, 2008.
  30. GOLDENSTEIN, S.; GOES, Fernando de ; VELHO, Luiz . A Simple and Flexible Framework to Adapt Dynamic Meshes. Computers & Graphics, v. 32, p. 141-148, 2008.
  31. de Goes, Fernando ; Goldenstein, Siome ; VELHO, Luiz ; GOLDENSTEIN, S. . A Hierarchical Segmentation of Articulated Bodies. Computer Graphics Forum (Print), v. 27, p. 1349-1356, 2008.
  32. VOGLER, Christian ; GOLDENSTEIN, S. ; STOLFI, J. ; PAVLOVIC, V. ; METAXAS, Dimitris . Outlier Rejection in High-Dimensional Deformable Models. Image and Vision Computing, v. 25, p. 274-284, 2007.
  33. DINGES, David ; RIDER, R. ; DORIAN, Jill ; MCGLINCHEY, E. ; ROGERS, Naomi ; CIZMAN, C. ; VOGLER, Christian ; GOLDENSTEIN, S. ; VENKATARAMAN, S. ; METAXAS, Dimitris . Optical computer recognition of facial expressions associated with stress induced by performance demands.. Aviation, Space, and Environmental Medicine, v. 78, p. B172-B182, 2005.
  34. GOLDENSTEIN, S.; VOGLER, Christian ; VELHO, Luiz . Adaptive Deformable Models for Graphics and Vision. Computer Graphics Forum (Print), v. 24, p. 729-741, 2005.
  35. GOLDENSTEIN, S.. A Gentle Introduction to Predictive Filters. Revista de Informática Teórica e Aplicada, v. XI, n.1, p. 61-89, 2004.
  36. GOLDENSTEIN, S.; VOGLER, Christian ; METAXAS, Dimitris . Statistical Cue Integration in DAG Deformable Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 25, n.7, p. 801-813, 2003.
  37. GOLDENSTEIN, S.; KARAVELAS, Menelaos ; METAXAS, Dimitris ; GUIBAS, Leonidas ; AARON, Eric ; GOSWAMI, Ambarish . Scalable Nonlinear Dynamical Systems for Agent Steering and Crowd Simulation. Computers & Graphics, v. 25, n.6, p. 983-988, 2001.
  38. GOLDENSTEIN, S.; LARGE, Ewdard ; METAXAS, Dimitris . Nonlinear Dynamical System Approach to Behavior Modeling. The Visual Computer, v. 15, p. 349-364, 1999.


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