Narjes Davari

According to our database, Narjes Davari authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

From fault detection to anomaly explanation: A case study on predictive maintenance.

João Gama, Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Bruno Veloso

J. Web Semant., 2024

A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance.

João Gama, Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Bruno Veloso

CoRR, 2024

Detecting and Explaining Anomalies in the Air Production Unit of a Train.

Narjes Davari, Bruno Veloso, Rita Paula Ribeiro, João Manuel Portela da Gama

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

2023

MetroPT-3 Dataset.

Narjes Davari, Bruno Veloso, Rita P. Ribeiro, João Gama

Dataset, March, 2023

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, Moamar Sayed Mouchaweh, Lala H. Rajaoarisoa, Grzegorz J. Nalepa, João Gama

CoRR, 2023

2022

Online Anomaly Explanation: A Case Study on Predictive Maintenance.

Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Ehsan Aminian, Bruno Veloso, João Gama

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 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

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

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

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

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

Sensors, 2021

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

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021