Afonso Lourenço, Marta Fernandes, Alda Canito, Ana de Almeida 0001, Goreti Marreiros. Using an Explainable Machine Learning Approach to Minimize Opportunistic Maintenance Interventions. In Alfonso González-Briones, Ana Almeida, Alberto Fernández 0002, Alia El Bolock, Dalila Durães, Jaume Jordán, Fernando Lopes 0005, editors, Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection - International Workshops of PAAMS 2022, L'Aquila, Italy, July 13-15, 2022, Proceedings. Volume 1678 of Communications in Computer and Information Science, pages 41-54, Springer, 2022. [doi]
@inproceedings{LourencoFC0M22,
title = {Using an Explainable Machine Learning Approach to Minimize Opportunistic Maintenance Interventions},
author = {Afonso Lourenço and Marta Fernandes and Alda Canito and Ana de Almeida 0001 and Goreti Marreiros},
year = {2022},
doi = {10.1007/978-3-031-18697-4_4},
url = {https://doi.org/10.1007/978-3-031-18697-4_4},
researchr = {https://researchr.org/publication/LourencoFC0M22},
cites = {0},
citedby = {0},
pages = {41-54},
booktitle = {Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection - International Workshops of PAAMS 2022, L'Aquila, Italy, July 13-15, 2022, Proceedings},
editor = {Alfonso González-Briones and Ana Almeida and Alberto Fernández 0002 and Alia El Bolock and Dalila Durães and Jaume Jordán and Fernando Lopes 0005},
volume = {1678},
series = {Communications in Computer and Information Science},
publisher = {Springer},
isbn = {978-3-031-18697-4},
}