Using simulation to evaluate a concept drift detector for condition based maintenance. - Afonso Lourenço; Marta Fernandes; Goreti Marreiros; Juan Manuel Corchado (IECON, 2022)

Using an Explainable Machine Learning Approach to Minimize Opportunistic Maintenance Interventions. - Afonso Lourenço; Marta Fernandes; Alda Canito; Ana de Almeida 001; Goreti Marreiros (PAAMS (Workshops), 2022)

Automated green machine learning for condition-based maintenance. - Afonso Lourenço; Carolina Ferraz; Jorge Meira; Goreti Marreiros; Verónica Bolón-Canedo; Amparo Alonso-Betanzos (ESANN, 2023)

Online adaptive learning for out-of-round railway wheels detection. - Afonso Lourenço; Jorge Meira; Goreti Marreiros (SAC, 2023)

Time series data mining for railway wheel and track monitoring: a survey. - Afonso Lourenço; Diogo Ribeiro 001; Marta Fernandes; Goreti Marreiros (Neural Comput. Appl., 2024)

DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices. - Afonso Lourenço; João Rodrigo; João Gama 001; Goreti Marreiros (CoRR, 2025)

In-context learning of evolving data streams with tabular foundational models. - Afonso Lourenço; João Gama 001; Eric P. Xing; Goreti Marreiros (CoRR, 2025)

On-device edge learning for IoT data streams: a survey. - Afonso Lourenço; João Rodrigo; João Gama 001; Goreti Marreiros (CoRR, 2025)

Boosting-inspired online learning with transfer for railway maintenance. - Diogo Risca; Afonso Lourenço; Goreti Marreiros (CoRR, 2025)

Continual learning for rotating machinery fault diagnosis with cross-domain environmental and operational variations. - Diogo Risca; Afonso Lourenço; Goreti Marreiros (CoRR, 2025)

Online hierarchical partitioning of the output space in extreme multi-label data stream. - Lara Neves; Afonso Lourenço; Alberto Cano 001; Goreti Marreiros (CoRR, 2025)