Teeth/Palate and Interdental Segmentation Using Artificial Neural Networks. - Kelwin Fernandes; Carolina Chang (ANNPR, 2012)

A*mbush Family: A* Variations for Ambush Behavior and Path Diversity Generation. - Kelwin Fernandes; Glebys González; Carolina Chang (MIG, 2012)

Catalogue-Based Traffic Sign Asset Management: Towards User's Effort Minimisation. - Kelwin Fernandes; Pedro F. B. Silva; Lucian Ciobanu; Paulo Fonseca 002 (ICIAR (1), 2014)

Pavement pathologies classification using graph-based features. - Kelwin Fernandes; Lucian Ciobanu (ICIP, 2014)

Random Forest with Increased Generalization: A Universal Background Approach for Authorship Verification. - Maria Leonor Pacheco; Kelwin Fernandes; Aldo Porco (CLEF (Working Notes), 2015)

A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News. - Kelwin Fernandes; Pedro Vinagre; Paulo Cortez 001 (EPIA, 2015)

Temporal Segmentation of Digital Colposcopies. - Kelwin Fernandes; Jaime S. Cardoso 001; Jessica Fernandes (IbPRIA, 2015)

Online News Popularity. - Kelwin Fernandes; Pedro Vinagre; Paulo Cortez 001; Pedro Sernadela (UCI Machine Learning Repository, 2015)

Tackling class imbalance with ranking. - Ricardo P. M. Cruz; Kelwin Fernandes; Jaime S. Cardoso 001; Joaquim F. Pinto da Costa (IJCNN, 2016)

Learning and ensembling lexicographic preference trees with multiple kernels. - Kelwin Fernandes; Jaime S. Cardoso 001; Héctor Palacios (IJCNN, 2016)

Discriminative directional classifiers. - Kelwin Fernandes; Jaime S. Cardoso 001 (Neurocomputing, 2016)

Ordinal Class Imbalance with Ranking. - Ricardo P. M. Cruz; Kelwin Fernandes; Joaquim F. Pinto da Costa; María Pérez-Ortiz 001; Jaime S. Cardoso 001 (IbPRIA, 2017)

Automated Detection and Categorization of Genital Injuries Using Digital Colposcopy. - Kelwin Fernandes; Jaime S. Cardoso 001; Birgitte Schmidt Astrup (IbPRIA, 2017)

Transfer Learning with Partial Observability Applied to Cervical Cancer Screening. - Kelwin Fernandes; Jaime S. Cardoso 001; Jessica Fernandes (IbPRIA, 2017)

Constraining Type II Error: Building Intentionally Biased Classifiers. - Ricardo P. M. Cruz; Kelwin Fernandes; Joaquim F. Pinto da Costa; Jaime S. Cardoso 001 (IWANN (2), 2017)

Combining Ranking with Traditional Methods for Ordinal Class Imbalance. - Ricardo P. M. Cruz; Kelwin Fernandes; Joaquim F. Pinto da Costa; María Pérez-Ortiz 001; Jaime S. Cardoso 001 (IWANN (2), 2017)

Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation. - María Pérez-Ortiz 001; Kelwin Fernandes; Ricardo P. M. Cruz; Jaime S. Cardoso 001; Javier Briceño; César Hervás-Martínez (IWANN (2), 2017)

Deep Local Binary Patterns. - Kelwin Fernandes; Jaime S. Cardoso 001 (CoRR, 2017)

Cervical cancer (Risk Factors). - Kelwin Fernandes; Jaime S. Cardoso 001; Jessica Fernandes (UCI Machine Learning Repository, 2017)

Quality Assessment of Digital Colposcopies. - Kelwin Fernandes; Jaime S. Cardoso 001; Jessica Fernandes (UCI Machine Learning Repository, 2017)

Ordinal Image Segmentation using Deep Neural Networks. - Kelwin Fernandes; Jaime S. Cardoso 001 (IJCNN, 2018)

Deep Image Segmentation by Quality Inference. - Kelwin Fernandes; Ricardo P. M. Cruz; Jaime S. Cardoso 001 (IJCNN, 2018)

Towards Complementary Explanations Using Deep Neural Networks. - Wilson Silva; Kelwin Fernandes; Maria João Cardoso; Jaime S. Cardoso 001 (MLCN/DLF/iMIMIC@MICCAI, 2018)

Automated Methods for the Decision Support of Cervical Cancer Screening Using Digital Colposcopies. - Kelwin Fernandes; Jaime S. Cardoso 001; Jessica Fernandes (IEEE Access, 2018)

Dimensional emotion recognition using visual and textual cues. - Pedro M. Ferreira 002; Diogo Pernes; Kelwin Fernandes; Ana Rebelo; Jaime S. Cardoso 001 (CoRR, 2018)

Binary ranking for ordinal class imbalance. - Ricardo P. M. Cruz; Kelwin Fernandes; Joaquim F. Pinto da Costa; María Pérez-Ortiz 001; Jaime S. Cardoso 001 (Pattern Anal. Appl., 2018)

A deep learning approach for the forensic evaluation of sexual assault. - Kelwin Fernandes; Jaime S. Cardoso 001; Birgitte Schmidt Astrup (Pattern Anal. Appl., 2018)

Supervised deep learning embeddings for the prediction of cervical cancer diagnosis. - Kelwin Fernandes; Davide Chicco; Jaime S. Cardoso 001; Jessica Fernandes (PeerJ Comput. Sci., 2018)

Fundamental Topics in Machine Intelligence and their Application to Digital Colposcopy - Kelwin Fernandes (2018)

Quality-based Regularization for Iterative Deep Image Segmentation. - José Rebelo; Kelwin Fernandes; Jaime S. Cardoso 001 (EMBC, 2019)

Towards a Joint Approach to Produce Decisions and Explanations Using CNNs. - Isabel Rio-Torto; Kelwin Fernandes; Luís F. Teixeira 001 (IbPRIA (1), 2019)

How to produce complementary explanations using an Ensemble Model. - Wilson Silva; Kelwin Fernandes; Jaime S. Cardoso 001 (IJCNN, 2019)

A Machine Learning Based Quality of Service Estimator for Aerial Wireless Networks. - Eduardo Nuno Almeida; Kelwin Fernandes; Francisco Andrade 003; Pedro Moreira da Silva; Rui Campos; Manuel Ricardo 001 (WiMob, 2019)

Hypothesis transfer learning based on structural model similarity. - Kelwin Fernandes; Jaime S. Cardoso 001 (Neural Comput. Appl., 2019)

Sparse Multi-Bending Snakes. - Ricardo J. Araújo; Kelwin Fernandes; Jaime S. Cardoso 001 (IEEE Trans. Image Process., 2019)

Understanding the decisions of CNNs: An in-model approach. - Isabel Rio-Torto; Kelwin Fernandes; Luís F. Teixeira 001 (Pattern Recognit. Lett., 2020)

Partially Monotonic Learning for Neural Networks. - Joana Trindade; João Vinagre; Kelwin Fernandes; Nuno Paiva; Alípio Jorge (IDA, 2021)