Note: For a full list of publications, see my Google Scholar profile (by year, or by citations) or my Lattes CV (in Portuguese).
Selective prediction for semantic segmentation using post-hoc confidence estimation and its performance under distribution shift B. L. C. Borges, B. M. Pacheco, and D. Silva
Benchmarking deep learning models for bearing fault diagnosis using the CWRU dataset: A multi-label approach R. K. Rosa, D. Braga, and D. Silva
How to fix a broken confidence estimator: Evaluating post-hoc methods for selective classification with deep neural networks L. F. P. Cattelan and D. Silva Conference on Uncertainty in Artificial Intelligence (UAI), Jul. 2024
Selective prediction for semantic segmentation under distribution shift B. L. C. Borges, B. M. Pacheco, and D. Silva ICLR 2024 Workshop on Practical Machine Learning for Low Resource Settings, May 2024
On selective classification under distribution shift L. F. P. Cattelan and D. Silva NeurIPS 2023 Workshop on Distribution Shifts: New Frontiers with Foundation Models, Dec. 2023
Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers? B. M. Pacheco, V. H. R. de Oliveira, A. B. F. Antunes, S. D. S. Pedro, and D. Silva Brazilian Conference on Intelligent Systems (BRACIS), Sep. 2023
A simplified BRADEN scale for the risk of developing pressure injuries M. C. S. S. Guimarães, D. H. Ruther, R. Zambelli, D. S. Severo, H. P. da Silva, A. D. Reys, F. A. O. B. Silva, S. D. S. Pedro, D. Silva, T. P. Navarro Nursing in Critical Care, May 2023
Towards fully automated deep-learning-based brain tumor segmentation: Is brain extraction still necessary? B. M. Pacheco, G. S. Cassia, and D. Silva Biomedical Signal Processing and Control, Apr. 2023
On the performance of uncertainty estimation methods for deep-learning based image classification models L. F. P. Cattelan and D. Silva Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), Nov. 2022
Change detection based on convolutional neural networks using stacks of wavelength-resolution synthetic aperture radar images J. G. Vinholi, B. G. Palm, D. Silva, R. Machado, and M. I. Pettersson IEEE Transactions on Geoscience and Remote Sensing, 2022
CNN-based change detection algorithm for wavelength-resolution SAR images J. G. Vinholi, D. Silva, R. Machado, and M. I. Pettersson IEEE Geoscience and Remote Sensing Letters, 2022
On teacher-student semi-supervised learning for chest X-ray image classification R. A. P. Martins and D. Silva XV Congresso Brasileiro de Inteligência Computacional (CBIC), Oct. 2021
Iterative error decimation for syndrome-based neural network decoders J. K. S. Kamassury and D. Silva Journal of Communication and Information Systems, Aug. 2021
Predicting multiple ICD-10 codes from Brazilian-Portuguese clinical notes A. D. Reys, D. Silva, D. Severo, S. Pedro, M. M. de Sousa e Sá, and G. A. C. Salgado Brazilian Conference on Intelligent Systems (BRACIS), Oct. 2020
Aplicação de redes convolucionais profundas para detecção de massas em mamografias R. A. P. Martins e D. Silva Congresso Brasileiro de Engenharia Biomédica (CBEB), Oct. 2020
Efficient scheduling for the massive random access Gaussian channel G. K. Facenda and D. Silva IEEE Transactions on Wireless Communications, Nov. 2020
Optimization of integer-forcing precoding for multi-user MIMO downlink R. B. Venturelli and D. Silva IEEE Wireless Communications Letters, Nov. 2020
Multilevel LDPC lattices with efficient encoding and decoding and a generalization of Construction D’ P. R. Branco da Silva and D. Silva IEEE Transactions on Information Theory, May 2019
On integer-forcing precoding for the Gaussian MIMO broadcast channel D. Silva, G. Pivaro, G. Fraidenraich, and B. Aazhang IEEE Transactions on Wireless Communications, Jul. 2017
An algebraic approach to physical-layer network coding C. Feng, D. Silva, and F. R. Kschischang IEEE Transactions on Information Theory, Nov. 2013
Universal secure network coding via rank-metric codes D. Silva and F. R. Kschischang IEEE Transactions on Information Theory, Feb. 2011
Communication over finite-field matrix channels D. Silva, F. R. Kschischang, and R. Kotter IEEE Transactions on Information Theory, Mar. 2010
On metrics for error correction in network coding D. Silva and F. R. Kschischang IEEE Transactions on Information Theory, Dec. 2009
A rank-metric approach to error control in random network coding D. Silva, F. R. Kschischang, and R. Koetter IEEE Transactions on Information Theory, Sep. 2008
Error Control for Network Coding Ph.D. thesis University of Toronto, Toronto, Canada, 2009
Códigos de Permutação para Compressão de Dados e Modulação M.Sc. thesis Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro, Brazil, 2005