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

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

A Class Imbalance Ordinal Method for Alzheimer's Disease Classification. - Ricardo P. M. Cruz; Margarida Silveira; Jaime S. Cardoso 001 (PRNI, 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)

Averse Deep Semantic Segmentation. - Ricardo P. M. Cruz; Joaquim F. Pinto da Costa; Jaime S. Cardoso 001 (EMBC, 2019)

Automatic Augmentation by Hill Climbing. - Ricardo P. M. Cruz; Joaquim F. Pinto da Costa; Jaime S. Cardoso 001 (ICANN (2), 2019)

Insulator visual non-conformity detection in overhead power distribution lines using deep learning. - Ricardo Santos Morla; Ricardo P. M. Cruz; André P. Marotta; Rodrigo Pereira Ramos; Eduardo F. Simas Filho; Jaime S. Cardoso 001 (Comput. Electr. Eng., 2019)

Background Invariance by Adversarial Learning. - Ricardo P. M. Cruz; Ricardo M. Prates; Eduardo F. Simas Filho; Joaquim F. Pinto da Costa; Jaime S. Cardoso 001 (ICPR, 2020)

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. - Jaime S. Cardoso 001; Hien Van Nguyen; Nicholas Heller; Pedro Henriques Abreu; Ivana Isgum; Wilson Silva; Ricardo P. M. Cruz; José Pereira Amorim; Vishal Patel 001; Badri Roysam; S. Kevin Zhou; Steve B. Jiang; et al. (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Ordinal losses for classification of cervical cancer risk. - Tomé Albuquerque; Ricardo P. M. Cruz; Jaime S. Cardoso 001 (PeerJ Comput. Sci., 2021)

Two-stage semantic segmentation in neural networks. - Diana Teixeira e Silva; Ricardo P. M. Cruz; Tiago Gonçalves; Diogo Carneiro (ICMV, 2022)

YOLOMM - You Only Look Once for Multi-modal Multi-tasking. - Filipe Campos; Francisco Gonçalves Cerqueira; Ricardo P. M. Cruz; Jaime S. Cardoso 001 (CIARP, 2023)

Active Supervision: Human in the Loop. - Ricardo P. M. Cruz; A. S. M. Shihavuddin; Md Hasan Maruf; Jaime S. Cardoso 001 (CIARP, 2023)

Condition Invariance for Autonomous Driving by Adversarial Learning. - Diana Teixeira e Silva; Ricardo P. M. Cruz (CIARP, 2023)

Interpretability-Guided Human Feedback During Neural Network Training. - Pedro Serrano e Silva; Ricardo P. M. Cruz; A. S. M. Shihavuddin; Tiago Gonçalves (IbPRIA, 2023)

Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models. - Javier Barbero-Gómez; Ricardo P. M. Cruz; Jaime S. Cardoso 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (IWANN (2), 2023)

Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods. - Tomé Albuquerque; Luís Rosado; Ricardo P. M. Cruz; Maria João M. Vasconcelos; Tiago Oliveira 004; Jaime S. Cardoso 001 (Intell. Syst. Appl., 2023)

Two-Stage Framework for Faster Semantic Segmentation. - Ricardo P. M. Cruz; Diana Teixeira e Silva; Tiago Gonçalves; Diogo Carneiro; Jaime S. Cardoso 001 (Sensors, 2023)

Weather and Meteorological Optical Range Classification for Autonomous Driving. - Celso Pereira; Ricardo P. M. Cruz; João N. D. Fernandes; João Ribeiro Pinto; Jaime S. Cardoso 001 (IEEE Trans. Intell. Veh., 2024)

Learning Ordinality in Semantic Segmentation. - Ricardo P. M. Cruz; Rafael Cristino; Jaime S. Cardoso 001 (IEEE Access, 2025)

CNN explanation methods for ordinal regression tasks. - Javier Barbero-Gómez; Ricardo P. M. Cruz; Jaime S. Cardoso 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (Neurocomputing, 2025)

A case study on phishing detection with a machine learning net. - Ana Bezerra; Ivo Pereira; Miguel Ângelo Rebelo; Duarte Coelho; Daniel Alves de Oliveira; Joaquim F. Pinto da Costa; Ricardo P. M. Cruz (Int. J. Data Sci. Anal., 2025)

Unimodal Distributions for Ordinal Regression. - Jaime S. Cardoso 001; Ricardo P. M. Cruz; Tomé Albuquerque (IEEE Trans. Artif. Intell., 2025)