A+ A- Acessibilidade
EnglishPortuguese
Buscar

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.

EnglishPortuguese