A proactive intelligent decision support system for predicting the popularity of online news K Fernandes, P Vinagre, P Cortez Progress in Artificial Intelligence: 17th Portuguese Conference on …, 2015 | 299 | 2015 |
Transfer learning with partial observability applied to cervical cancer screening K Fernandes, JS Cardoso, J Fernandes Pattern Recognition and Image Analysis: 8th Iberian Conference, IbPRIA 2017 …, 2017 | 296 | 2017 |
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis K Fernandes, D Chicco, JS Cardoso, J Fernandes PeerJ Computer Science 4, e154, 2018 | 99 | 2018 |
Towards complementary explanations using deep neural networks W Silva, K Fernandes, MJ Cardoso, JS Cardoso Understanding and Interpreting Machine Learning in Medical Image Computing …, 2018 | 65 | 2018 |
Automated Methods for the Decision Support of Cervical Cancer Screening Using Digital Colposcopies K Fernandes, JS Cardoso, J Fernandes IEEE Access 6, 33910-33927, 2018 | 59 | 2018 |
Tackling class imbalance with ranking R Cruz, K Fernandes, JS Cardoso, JFP Costa 2016 International joint conference on neural networks (IJCNN), 2182-2187, 2016 | 52 | 2016 |
Pavement pathologies classification using graph-based features K Fernandes, L Ciobanu 2014 IEEE International Conference on Image Processing (ICIP), 793-797, 2014 | 50 | 2014 |
Random Forest with Increased Generalization: A Universal Background Approach for Authorship Verification. ML Pacheco, K Fernandes, A Porco CLEF (Working Notes), 2015 | 28 | 2015 |
Understanding the decisions of CNNs: An in-model approach I Rio-Torto, K Fernandes, LF Teixeira Pattern Recognition Letters 133, 373-380, 2020 | 27 | 2020 |
Hypothesis transfer learning based on structural model similarity K Fernandes, JS Cardoso Neural Computing and Applications 31, 3417-3430, 2019 | 23 | 2019 |
How to produce complementary explanations using an Ensemble Model W Silva, K Fernandes, JS Cardoso 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 23 | 2019 |
Teeth/Palate and interdental segmentation using artificial neural networks K Fernandez, C Chang IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 175-185, 2012 | 23 | 2012 |
A deep learning approach for the forensic evaluation of sexual assault K Fernandes, JS Cardoso, BS Astrup Pattern Analysis and Applications 21, 629-640, 2018 | 22 | 2018 |
Deep image segmentation by quality inference K Fernandes, R Cruz, JS Cardoso 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 21 | 2018 |
Temporal segmentation of digital colposcopies K Fernandes, JS Cardoso, J Fernandes Pattern Recognition and Image Analysis: 7th Iberian Conference, IbPRIA 2015 …, 2015 | 21 | 2015 |
Discriminative Directional Classifiers K Fernandes, JS Cardoso Neurocomputing, 2016 | 15 | 2016 |
A Machine Learning Based Quality of Service Estimator for Aerial Wireless Networks EN Almeida, K Fernandes, F Andrade, P Silva, R Campos, M Ricardo 2019 International Conference on Wireless and Mobile Computing, Networking …, 2019 | 13 | 2019 |
Combining ranking with traditional methods for ordinal class imbalance R Cruz, K Fernandes, JF Pinto Costa, M Pérez Ortiz, JS Cardoso Advances in Computational Intelligence: 14th International Work-Conference …, 2017 | 13 | 2017 |
Ordinal image segmentation using deep neural networks K Fernandes, JS Cardoso 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 11 | 2018 |
Deep Local Binary Patterns K Fernandes, JS Cardoso arXiv preprint arXiv:1711.06597, 2017 | 10 | 2017 |