Insulator visual non-conformity detection in overhead power distribution lines using deep learning RM Prates, R Cruz, AP Marotta, RP Ramos, EF Simas Filho, JS Cardoso Computers & Electrical Engineering 78, 343-355, 2019 | 60 | 2019 |
Tackling class imbalance with ranking R Cruz, K Fernandes, JS Cardoso, JFP Costa 2016 International joint conference on neural networks (IJCNN), 2182-2187, 2016 | 53 | 2016 |
Ordinal losses for classification of cervical cancer risk T Albuquerque, R Cruz, JS Cardoso PeerJ Computer Science, 2021 | 33 | 2021 |
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 |
Combining Ranking with Traditional Methods for Ordinal Class Imbalance R Cruz, K Fernandes, JFP Costa, MP Ortiz, JS Cardoso International Work-Conference on Artificial Neural Networks, 538-548, 2017 | 13 | 2017 |
Ordinal Class Imbalance with Ranking R Cruz, K Fernandes, JFP Costa, MP Ortiz, JS Cardoso Iberian Conference on Pattern Recognition and Image Analysis, 3-12, 2017 | 11 | 2017 |
Binary ranking for ordinal class imbalance R Cruz, K Fernandes, JFP Costa, MP Ortiz, JS Cardoso Pattern Analysis and Applications 21, 931-939, 2018 | 7 | 2018 |
Constraining Type II Error: Building Intentionally Biased Classifiers R Cruz, K Fernandes, JFP Costa, JS Cardoso International Work-Conference on Artificial Neural Networks, 549-560, 2017 | 7 | 2017 |
Weather and Meteorological Optical Range Classification for Autonomous Driving C Pereira, RPM Cruz, JND Fernandes, JR Pinto, JS Cardoso IEEE Transactions on Intelligent Vehicles, 2024 | 4 | 2024 |
Quasi-Unimodal Distributions for Ordinal Classification T Albuquerque, R Cruz, JS Cardoso Mathematics 10 (6), 980, 2022 | 4 | 2022 |
Automatic Augmentation by Hill Climbing R Cruz, JFP Costa, JS Cardoso International Conference on Artificial Neural Networks, 115-124, 2019 | 4 | 2019 |
A Class Imbalance Ordinal Method for Alzheimer’s Disease Classification R Cruz, M Silveira, JS Cardoso 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2018 | 4 | 2018 |
Fine-to-coarse ranking in ordinal and imbalanced domains: an application to liver transplantation M Pérez-Ortiz, K Fernandes, R Cruz, JS Cardoso, J Briceño, ... Advances in Computational Intelligence: 14th International Work-Conference …, 2017 | 4 | 2017 |
Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models J Barbero-Gómez, R Cruz, JS Cardoso, PA Gutiérrez, C Hervás-Martínez International Work-Conference on Artificial Neural Networks, 529-540, 2023 | 3 | 2023 |
Unimodal Distributions for Ordinal Regression JS Cardoso, R Cruz, T Albuquerque arXiv preprint arXiv:2303.04547, 2023 | 3 | 2023 |
Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods T Albuquerque, L Rosado, R Cruz, MJM Vasconcelos, T Oliveira, ... Intelligent Systems with Applications 17, 200170, 2023 | 3 | 2023 |
Background Invariance by Adversarial Learning R Cruz, RM Prates, EF Simas Filho, JFP Costa, JS Cardoso 2020 25th International Conference on Pattern Recognition (ICPR), 5883-5888, 2021 | 3 | 2021 |
Interpretability-Guided Human Feedback During Neural Network Training P Serrano e Silva, R Cruz, ASM Shihavuddin, T Gonçalves Iberian Conference on Pattern Recognition and Image Analysis, 276-287, 2023 | 2 | 2023 |
Deep learning-based system for real-time behavior recognition and closed-loop control of behavioral mazes using depth sensing A Gerós, R Cruz, F de Chaumont, JS Cardoso, P Aguiar bioRxiv, 2022.02. 22.481410, 2022 | 2 | 2022 |
Two-stage semantic segmentation in neural networks DT e Silva, R Cruz, T Gonçalves, D Carneiro Fifteenth International Conference on Machine Vision (ICMV 2022) 12701, 122-131, 2023 | 1 | 2023 |