Classification of Ordinal Data Using Neural Networks. - Joaquim F. Pinto da Costa; Jaime S. Cardoso 001 (ECML, 2005)

SVMs applied to objective aesthetic evaluation conservative breast cancer treatment. - Jaime S. Cardoso 001; Joaquim F. Pinto da Costa; Maria João Cardoso (IJCNN, 2005)

Modelling ordinal relations with SVMs: An application to objective aesthetic evaluation of breast cancer conservative treatment. - Jaime S. Cardoso 001; Joaquim F. Pinto da Costa; Maria João Cardoso (Neural Networks, 2005)

Learning to Classify Ordinal Data: The Data Replication Method. - Jaime S. Cardoso 001; Joaquim F. Pinto da Costa (J. Mach. Learn. Res., 2007)

Breast contour detection with shape priors. - Ricardo Gamelas Sousa; Jaime S. Cardoso 001; Joaquim F. Pinto da Costa; Maria João Cardoso (ICIP, 2008)

The unimodal model for the classification of ordinal data. - Joaquim F. Pinto da Costa; Hugo Alonso; Jaime S. Cardoso 001 (Neural Networks, 2008)

An All-at-once Unimodal SVM Approach for Ordinal Classification. - Joaquim F. Pinto da Costa; Ricardo Gamelas Sousa; Jaime S. Cardoso 001 (ICMLA, 2010)

A Weighted Principal Component Analysis and Its Application to Gene Expression Data. - Joaquim F. Pinto da Costa; Hugo Alonso; Luis Roque (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Weighted Correlation. - Joaquim F. Pinto da Costa (International Encyclopedia of Statistical Science, 2011)

A Priori-Driven PCA. - Carlos E. Thomaz; Gilson A. Giraldi; Joaquim F. Pinto da Costa; Duncan Fyfe Gillies (ACCV Workshops (2), 2012)

Multicriteria Models for Learning Ordinal Data: A Literature Review. - Ricardo Gamelas Sousa; Iryna Yevseyeva; Joaquim F. Pinto da Costa; Jaime S. Cardoso 001 (Artificial Intelligence, Evolutionary Computing and Metaheuristics, 2013)

Corrigendum to "The unimodal model for the classification of ordinal data" [Neural Networks 21 (2008) 78-79]. - Joaquim F. Pinto da Costa; Hugo Alonso; Jaime S. Cardoso 001 (Neural Networks, 2014)

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

An Approach for Assessing the Distribution of Reporting Delay in Portuguese AIDS Data. - Alexandra Oliveira; A. Rita Gaio; Joaquim F. Pinto da Costa; Luís Paulo Reis (WorldCIST (2), 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)

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)

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)

New confinement index and new perspective for comparing countries - COVID-19. - Joaquim F. Pinto da Costa; André Garcia (Comput. Methods Programs Biomed., 2021)

Clustering of Longitudinal Trajectories Using Correlation-Based Distances. - Joaquim F. Pinto da Costa; Fábio Ferreira; Martina Mascarello; A. Rita Gaio (SN Comput. Sci., 2021)

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)