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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.
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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. 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.

13. 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.

14. 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.

15. 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.

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