Conferences

See below a list of the conference publications of Recod.ai in the last 5 years. For more details and a complete list, check our latest yearly report.


2021

  1. BISSOTO, ALCEU, VALLE, EDUARDO, AVILA, SANDRA. “GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review”. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021.
  2. LAVI, BAHRAM; NASCIMENTO, JOSÉ DORIVALDO; ROCHA, ANDERSON. Semi-supervised Feature Embedding for Data Sanitization in Real-World Events. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, Toronto. Prof. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.

2020

  1. ANDRADE, F.; ARANHA, C.; AND TORRES, R. “On the Use of Predation to Shape Evolutionary Computation,” 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020, pp. 117-124.
  2. BISSOTO, A.; VALLE, E.; AND AVILA, S. “Debiasing Skin Lesion Datasets and Models? Not So Fast,” 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020, pp. 3192-3201.
  3. BOLLIS, E.; PEDRINI, H.; AND AVILA,  S. “Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark,” 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020, pp. 310-319, doi: 10.1109/CVPRW50498.2020.00043.
  4. DECKER., LUIS GUSTAVO LORGUS; PINTO, ALLAN; FLORES CAMPANA, JOSE LUIS; CÓRDOVA NEIRA, MANUEL; DOS SANTOS, ANDREZA A.; CONCEIÇÃO, JHONATAS S.; ANGELONI, MARCUS A.; LI, LIN TZY; AND TORRES, RICARDO DA S. Mobtext: A compact method for scene text localization. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications – Volume 5: VISAPP,, pages 343–350. INSTICC, SciTePress, 2020.
  5. DOUILLARD, ARTHUR; CORD, MATTHIEU; OLLION,  CHARLES; ROBERT, THOMAS; VALLE, EDUARDO. 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.
  6. MARTINEZ, V.; AND ROCHA,  A. Oil & Gas Production Forecasting based on LSTMs. First EAGE Conference on Machine Learning in Americas. vol. 2020issue 1(2020) pp: 1-5. Published by European Association of Geoscientists & Engineers.
  7. 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.
  8. 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.
  9. 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.
  10. 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 – IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020. p. 2972-2975.
  11. 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.
  12. PINTO, A.; CORDOVA, M.; DECKER, L.G.; FLORES-CAMPANA, J.L.; SOUZA, M.R.; SANTOS, A.A.; CONCEIÇÃO, J.S.; GAGLIARDI, H.F.; LUVIZON, D.; TORRES, R.; & PEDRINI, H. (2020). Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation. 2020 IEEE International Conference on Image Processing (ICIP), 1621-1625.
  13. RIBEIRO, V.; AVILA, S.; AND VALLE,  E. “Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation,” 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020, pp. 3182-3191.
  14. 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.
  15. 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.
  16. SORIANO-VARGAS, A.; ROLLMANN, K.; LA ROSA ALMEIDA, F.; DAVOLIO, A., HAMANN, B.; JOSÉ SCHIOZER, D.; & ROCHA, A. (2020, July). Leveraging Phylogenetic Trees to Assess Variability of Reservoir Models. In SPE Latin American and Caribbean Petroleum Engineering Conference. Society of Petroleum Engineers.

2019

  1. BISSOTO, A.; FORNACIALI, M.; VALLE, E.; AND AVILA,  S. “(De)Constructing Bias on Skin Lesion Datasets,” 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019, pp. 2766-2774.
  2. 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
  3. CIRNE, M.; ANDALÓ, F.; DIAS, R.; RESEK, T.; BERTOCCO, G.; TORRES, R. D. S.; & ROCHA, A. (2019, September). Deep Face Verification for Spherical Images. In 2019 IEEE International Conference on Image Processing (ICIP) (pp. 3292-3296). IEEE.
  4. COELHO, THAMIRIS; ARAUJO, LUCAS M.; COIMBRA, TIAGO A. A.; TYGEL, MARTIN; AVILA, SANDRA; BORIN, EDSON. Automatic Detection of Diffraction-apex using Fully Convolutional Networks. In: 16th International Congress of the Brazilian Geophysical Society and EXPOGEf, 2019, Rio de Janeiro. Proceedings of the 16th International Congress of the SBGf, 2019.
  5. CONCEIÇÃO, J.; PINTO, A.; DECKER, L.; CAMPANA, J.; CORDOVA, M.; DOS SANTOS, A.; PEDRINI, H.; & TORRES, R. (2019). Multi-Lingual Text Localization via Language-Specific Convolutional Neural Networks. In Anais Estendidos da XXXII Conference on Graphics, Patterns and Images, (pp. 215-218). Porto Alegre: SBC. 
  6. CÓRDOVA, M.; ET AL., “Pelee-Text: A Tiny Convolutional Neural Network for Multi-oriented Scene Text Detection,” 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019, pp. 400-405.
  7. DIAS, D.; DIAS, U.; MENINI, N.; LAMPARELLI, R.; MAIRE, G.; AND TORRES, R. “Pixelwise Remote Sensing Image Classification Based on Recurrence Plot Deep Features,” 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019, pp. 1310-1313.
  8. DESTRO, J.; REIS, J.; TORRES, R.; AND RICARTE, I. “Evolution-based Refinement of Cross-language Ontology Alignments,” Simpósio Brasileiro de Banco de Dados (SBBD), 2019, pp. 61-72.
  9. DESTRO, J.; REIS, J.; TORRES, R.; AND RICARTE, I. “Ontology Changes-Driven Semantic Refinement of Cross-Language Biomedical Ontology Alignments,” Workshop on Semantic Web Solutions for Large-Scale Biomedical Data Analytics co-located with 18th International Semantic Web Conference, 2019, pp. 1-15.
  10. DESTRO, J.; VARGAS, J.; REIS, J.; AND TORRES, R. “EVOCROS: Results for OAEI 2019,” 14th International Workshop on Ontology Matching co-located with the 18th International Semantic Web Conference, 2019, pp. 131-137
  11. DOURADO, I.; TABBONE, S.; AND TORRES, R. “Event Prediction Based on Unsupervised Graph-Based Rank-Fusion Models,” Graph-based Representation in Pattern Recognition (GbRPR), 2019, pp. 88-98.
  12. GUTIERREZ-CASTILLA, N.; TORRES, R.; FALCÃO, A.; KOZERKE, S.; SCHWITTER, J.; MASCI, P.; AND MONTOYA-ZEGARRA, J. “Long-Range Decoder Skip Connections: Exploiting Multi-Context Information for Cardiac Image Segmentation,” 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019, pp. 60-67.
  13. ISHIKAWA, A.; BOLLIS, E.; AND AVILA, S. “Combating the Elsagate Phenomenon: Deep Learning Architectures for Disturbing Cartoons,” 2019 7th International Workshop on Biometrics and Forensics (IWBF), 2019, pp. 1-6, doi: 10.1109/IWBF.2019.8739202.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. MUÑOZ, J.; DIAS, Z.; AND TORRES, R. “A Genetic Programming Approach for Searching on Nearest Neighbors Graphs,” International Conference on Multimedia Retrieval (ICMR), 2019, pp. 43-47
  20. 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.
  21. PEIXOTO, B.; LAVI, B.; MARTIN, J. P. PEREIRA; AVILA,  S.; DIAS, Z; AND ROCHA,  A. “Toward Subjective Violence Detection in Videos,” ICASSP 2019 – 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, pp. 8276-8280.
  22. PEREZ, F.; AVILA, S.; AND VALLE,  E. “Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification,” 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019, pp. 2775-2783.
  23. 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.
  24. PINHEIRO, G.; CIRNE, M.; BESTAGINI, P.; TUBARO, S.; & ROCHA, A. (2019, September). Detection and Synchronization of Video Sequences for Event Reconstruction. In 2019 IEEE International Conference on Image Processing (ICIP) (pp. 4060-4064). IEEE.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. SANTOS, E. S.; ALBERTON, B.; MORELLATO, L. P.; AND TORRES, R. DA SILVA. “Pixelwise Time Series Retrieval in Phenological Studies,” IGARSS 2019 – 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019, pp. 6586-6589.
  30. TAVARES, E.; TORRES, R.; AND DOS SANTOS, J. “Evaluating Deep Contextual Description of Superpixels for Detection in Aerial Images,” 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019, pp. 254-257.
  31. 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.
  32. 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.
  33. TAKEMOTO, NAOMI; ARAUJO, LUCAS M.; COIMBRA, TIAGO A. A.; TYGEL, MARTIN; AVILA, SANDRA; BORIN, EDSON. Enriching Synthetic Data with Real Noise using Neural Style Transfer. In: 16th International Congress of the Brazilian Geophysical Society and EXPOGEf, 2019, Rio de Janeiro. Proceedings of the 16th International Congress of the SBGf, 2019.

2018

  1. ALMEIDA, A.; MENINI, N.; VERBESSELT, J.; AND TORRES, R. “BFAST Explorer: An Effective Tool for Time Series Analysis,” 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018, pp. 4913-4916.
  2. BISSOTO, ALCEU; PEREZ, FÁBIO; RIBEIRO, VINÍCIUS; FORNACIALI, MICHEL; ÁVILA, SANDRA; VALLE, EDUARDO. “Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018”. In: ISIC Skin Image Analysis Workshop and Challenge, MICCAI 2018
  3. BISSOTO, ALCEU; PEREZ, FÁBIO; VALLE, EDUARDO; AVILA, SANDRA. “Skin Lesion Synthesis with Generative Adversarial Networks”. In:International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2018.
  4. DESTRO, J.; DOS SANTOS, G.; DOS REIS, J.; TORRES, R.; CARVALHO, A.; AND RICARTE, I. “EVOCROS: results for OAEI 2018,” 13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference, 2018, pp. 152-159.
  5. NICASTRO, F.; BARANAUSKAS, CECILIA; TORRES, R. DA S. A Methodology to Conduct Computational Thinking Activities in Children’s Educational Context. In: 10th International Conference on Computer Supported Education, 2018, Funchal, Madeira, Portugal. CSDU, 2018. v. 2. p. 309-316.
  6. 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.
  7. 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. 
  8. POMARI, THALES; RUPPERT, GUILHERME C.S.; REZENDE, EDMAR; ROCHA, ANDERSON; CARVALHO, TIAGO. 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.
  9. SANTANA, T.; TORRES, R.; AND DOS SANTOS, J. “Superpixel Context Description based on Visual Words Co-Occurrence Matrix,” 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018 pp. 6199-6202.
  10. WERNECK, R.; DOURADO, I.; FADEL, S.; TABBONE, S.; AND TORRES, R. “Graph-Based Early-Fusion for Flood Detection,” 2018 IEEE International Conference on Image Processing (ICIP), 2018, pp. 1048-1052.
  11. WERNECK, R.; RAVEAUX, R.; TABBONE, S.; AND TORRES, R. “Learning Cost Functions for Graph Matching,” Structural, Syntactic, and Statistical Pattern Recognition – Joint IAPR International Workshop (S+SSPR), 2018, pp. 345-354
  12. 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.

2017

  1. 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.
  2. 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.
  3. 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.
  4. 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. , 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.
  5. 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.
  6. 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.
  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. 297-300.
  8. 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.
  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.
  12. FIGUEROA, JHOSIMAR ARIAS ; RIVERA, ADIN RAMIREZ . Learning to Cluster with Auxiliary Tasks: A Semi-Supervised Approach. In: 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2017, Niterói. 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2017. p. 141.
  13. FIGUEROA, JHOSIMAR ARIAS ; Ramírez Rivera, A. . Is Simple Better?: Revisiting Simple Generative Models for Unsupervised Clustering. Bayesian Deep Learning (NIPS), 2017 (Workshop).
  14. 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.
  15. 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.
  16. 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.
  17. 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. p. 305-314.
  18. Andrade, F. ; Aranha, C. ; TORRES, R. da S. . Ecology-aware Evolutionary Computation Systems. In: The Japanese Society for Evolutionary Computation Symposium, 2017, Mori Town, Kaije-gun, Hokkaido. JPNSEC, 2017.
  19. MENEGOLA, AFONSO ; FORNACIALI, MICHEL ; TAVARES, JULIA ; LI, Lin T. ; AVILA, SANDRA ; VALLE, EDUARDO . RECOD Titans at ISIC Challenge 2017. In: ISIC 2017 Challenge: Skin Lesion Analysis Towards Melanoma Detection, 2017, Melbourne. ISIC 2017 Challenge, 2017.

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