Robust Anomaly Detection in Time Series through Variational AutoEncoders and a Local Similarity Score. - Pedro Matias 002; Duarte Folgado; Hugo Gamboa; André V. Carreiro (BIOSIGNALS, 2021)

Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline. - Pedro Matias 002; João Costa; André V. Carreiro; Hugo Gamboa; Inês Sousa; Pedro Gómez 001; Joana Sousa; Nuno Neuparth; Pedro Carreiro-Martins; Filipe Soares (IEEE Access, 2022)

Posture Risk Assessment in an Automotive Assembly Line Using Inertial Sensors. - Maria Lua Nunes; Duarte Folgado; Carlos Fujão; Luís Silva; João Rodrigues; Pedro Matias 002; Marília Barandas; André V. Carreiro; Sara C. Madeira; Hugo Gamboa (IEEE Access, 2022)

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)

COTIDIANA Dataset - Smartphone-Collected Data on the Mobility, Finger Dexterity, and Mental Health of People With Rheumatic and Musculoskeletal Diseases. - Pedro Matias 002; Ricardo Araújo; Ricardo Graça; Ana Rita Henriques; David Belo; Maria Valada; Nasim Nakhost Lotfi; Elsa Frazão Mateus; Helga Radner; Ana Maria Rodrigues; Paul Studenic; Francisco Nunes (IEEE J. Biomed. Health Informatics, 2024)

pyMDMA: Multimodal data metrics for auditing real and synthetic datasets. - Ivo S. Façoco; Joana Rebelo; Pedro Matias 002; Nuno Bento; Ana C. Morgado; Ana Sampaio; Luís Rosado; Marília Barandas (SoftwareX, 2025)