13 citations · 15 across the 4 of their papers we have counts for
5 papers
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…
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…
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…
Explainable Predictive Maintenance
Sepideh Pashami, Slawomir Nowaczyk, Yuantao Fan +13
Explainable Artificial Intelligence (XAI) fills the role of a critical interface fostering interactions between sophisticated intelligent systems and diverse individuals, including…
Modeling Events and Interactions through Temporal Processes -- A Survey
Angelica Liguori, Luciano Caroprese, Marco Minici +5
In real-world scenario, many phenomena produce a collection of events that occur in continuous time. Point Processes provide a natural mathematical framework for modeling these seq…