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cs.LG2026
Constrained Hyperparameter Optimization for Streaming Data
Bruno Veloso, João Gama
Optimization of hyperparameters is a critical factor to obtain optimal model performance. While existing research has predominantly concentrated on batch-learning scenarios, addres…
cs.LG2025
Interpretable Rules for Online Failure Prediction: A Case Study on the Metro do Porto dataset
Matthias Jakobs, Bruno Veloso, Joao Gama
Due to their high predictive performance, predictive maintenance applications have increasingly been approached with Deep Learning techniques in recent years. However, as in other…
cs.LG2024★ 3 cited
A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance
João Gama, Rita P. Ribeiro, Saulo Mastelini +2
Predictive Maintenance applications are increasingly complex, with interactions between many components. Black box models are popular approaches based on deep learning techniques d…