Pattern Recognition and Classification of Low-Intensity Emotions from Physiological Data. - Isabel Curioso; Bruno Ribeiro 009; Pedro Matias 002; Ricardo Santos 006; Joana Sousa; João Ferreira; Hugo Gamboa; David Belo (CBMS, 2023)

Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-discharge Complications in Cardiothoracic Surgery. - Bruno Ribeiro 009; Isabel Curioso; Ricardo Santos 006; Federico Guede-Fernández; Pedro Coelho; Jorge Santos; José Fragata; Ana Londral; Inês Sousa (EPIA (2), 2023)

CORKI: A Correlation-Driven Imputation Method for Partial Annotation Scenarios in Multi-label Clinical Problems. - Ricardo Santos 006; Bruno Ribeiro 009; Isabel Curioso; Marília Barandas; André V. Carreiro; Hugo Gamboa; Pedro Coelho; José Fragata; Inês Sousa (PKDD/ECML Workshops (4), 2023)

A Risk Prediction Framework to Optimize Remote Patient Monitoring Following Cardiothoracic Surgery. - Ricardo Santos 006; Bruno Ribeiro 009; Pedro Dias; Isabel Curioso; Pedro Madeira 001; Federico Guede-Fernández; Jorge Santos; Pedro Coelho; Inês Sousa; Ana Londral (ECML/PKDD (7), 2023)

Addressing the Curse of Missing Data in Clinical Contexts: A Novel Approach to Correlation-based Imputation. - Isabel Curioso; Ricardo Santos 006; Bruno Ribeiro 009; André V. Carreiro; Pedro Coelho; José Fragata; Hugo Gamboa (J. King Saud Univ. Comput. Inf. Sci., 2023)

Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study. - David Pissarra; Isabel Curioso; João Alveira; Duarte Pereira; Bruno Ribeiro 009; Tomas Souper; Vasco Gomes; André V. Carreiro; Vitor Rolla (CoRR, 2024)