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.