Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry. - Narjes Davari; Bruno Veloso; Rita P. Ribeiro; Pedro Mota Pereira; João Gama 001 (DSAA, 2021)

A Survey on Data-Driven Predictive Maintenance for the Railway Industry. - Narjes Davari; Bruno Veloso; Gustavo de Assis Costa; Pedro Mota Pereira; Rita P. Ribeiro; João Gama 001 (Sensors, 2021)

A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set. - Narjes Davari; Sepideh Pashami; Bruno Veloso; Slawomir Nowaczyk; Yuantao Fan; Pedro Mota Pereira; Rita P. Ribeiro; João Gama 001 (IDA, 2022)

Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set. - Narjes Davari; Bruno Veloso; Rita P. Ribeiro; João Gama 001 (PKDD/ECML Workshops (2), 2022)

Online Anomaly Explanation: A Case Study on Predictive Maintenance. - Rita P. Ribeiro; Saulo Martiello Mastelini; Narjes Davari; Ehsan Aminian; Bruno Veloso; João Gama 001 (PKDD/ECML Workshops (2), 2022)

Explainable Predictive Maintenance. - Sepideh Pashami; Slawomir Nowaczyk; Yuantao Fan; Jakub Jakubowski; Nuno Paiva; Narjes Davari; Szymon Bobek; Samaneh Jamshidi; Hamid Sarmadi; Abdallah Alabdallah; Rita P. Ribeiro; Bruno Veloso; et al. (CoRR, 2023)

MetroPT-3 Dataset. - Narjes Davari; Bruno Veloso; Rita P. Ribeiro; João Gama 001 (UCI Machine Learning Repository, 2023)

Detecting and Explaining Anomalies in the Air Production Unit of a Train. - Narjes Davari; Bruno Veloso; Rita Paula Ribeiro; João Manuel Portela da Gama (SAC, 2024)

A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance. - João Gama 001; Rita P. Ribeiro; Saulo Martiello Mastelini; Narjes Davari; Bruno Veloso (CoRR, 2024)

From fault detection to anomaly explanation: A case study on predictive maintenance. - João Gama 001; Rita P. Ribeiro; Saulo Martiello Mastelini; Narjes Davari; Bruno Veloso (J. Web Semant., 2024)