3 papers
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.LG2026
Causally-Constrained Probabilistic Forecasting for Time-Series Anomaly Detection
Pooyan Khosravinia, João Gama, Bruno Veloso
Anomaly detection in multivariate time series is a central challenge in industrial monitoring, as failures frequently arise from complex temporal dynamics and cross-sensor interact…
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…