13 citations · 22 across the 7 of their papers we have counts for
7 papers
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…
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…
Super-Resolution Analysis for Landfill Waste Classification
Matias Molina, Rita P. Ribeiro, Bruno Veloso +1
Illegal landfills are a critical issue due to their environmental, economic, and public health impacts. This study leverages aerial imagery for environmental crime monitoring. Whil…
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning
Alexandre Alcoforado, Thomas Palmeira Ferraz, Lucas Hideki Okamura +5
A major challenge in Natural Language Processing is obtaining annotated data for supervised learning. An option is the use of crowdsourcing platforms for data annotation. However,…
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…
A Benchmark dataset for predictive maintenance
Bruno Veloso, João Gama, Rita P. Ribeiro +1
The paper describes the MetroPT data set, an outcome of a eXplainable Predictive Maintenance (XPM) project with an urban metro public transportation service in Porto, Portugal. The…