Cover Image

An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	García-Méndez, Silvia, de Arriba-Pérez, Francisco, Leal, Fátima, Veloso, Bruno, Malheiro, Benedita, Burguillo-Rial, Juan Carlos
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpretable classification of wiki-review streams
by: Méndez, Silvia García, et al.
Published: (2024)

Online detection and infographic explanation of spam reviews with data drift adaptation
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Exposing and Explaining Fake News On-the-Fly
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Identification and explanation of disinformation in wiki data streams
by: de Arriba-Pérez, Francisco, et al.
Published: (2025)

Unraveling Emotions with Pre-Trained Models
by: Pajón-Sanmartín, Alejandro, et al.
Published: (2025)

Simulation, Modelling and Classification of Wiki Contributors: Spotting The Good, The Bad, and The Ugly
by: Méndez, Silvia García, et al.
Published: (2024)

Promoting Security and Trust on Social Networks: Explainable Cyberbullying Detection Using Large Language Models in a Stream-Based Machine Learning Framework
by: García-Méndez, Silvia, et al.
Published: (2025)

Explainable e-sports win prediction through Machine Learning classification in streaming
by: García-Méndez, Silvia, et al.
Published: (2025)

Toward data-driven research: preliminary study to predict surface roughness in material extrusion using previously published data with Machine Learning
by: García-Martínez, Fátima, et al.
Published: (2024)

Leveraging Large Language Models through Natural Language Processing to provide interpretable Machine Learning predictions of mental deterioration in real time
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Detecting and explaining postpartum depression in real-time with generative artificial intelligence
by: García-Méndez, Silvia, et al.
Published: (2025)

Detecting anxiety and depression in dialogues: a multi-label and explainable approach
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Interpretable Rules for Online Failure Prediction: A Case Study on the Metro do Porto dataset
by: Jakobs, Matthias, et al.
Published: (2025)

Explainable machine learning multi-label classification of Spanish legal judgements
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Explainable automatic industrial carbon footprint estimation from bank transaction classification using natural language processing
by: González-González, Jaime, et al.
Published: (2024)

Explainable assessment of financial experts' credibility by classifying social media forecasts and checking the predictions with actual market data
by: García-Méndez, Silvia, et al.
Published: (2024)

Las geo-grafías ancestrales de Carlos Walter Porto-Gonçalves
by: Bruno Malheiro
Published: (2024)

Predictability and Causality in Spanish and English Natural Language Generation
by: Busto-Castiñeira, Andrea, et al.
Published: (2024)

Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning
by: García-Méndez, Silvia, et al.
Published: (2024)

A review on the use of large language models as virtual tutors
by: García-Méndez, Silvia, et al.
Published: (2024)

Energy-optimal Timetable Design for Sustainable Metro Railway Networks
by: Gupta, Shuvomoy Das, et al.
Published: (2023)

Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Low-Data Predictive Maintenance of Railway Station Doors and Elevators Using Bayesian Proxy Flow Modeling
by: Bauer, Waldemar, et al.
Published: (2026)

Automatic generation of insights from workers' actions in industrial workflows with explainable Machine Learning
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance
by: Gama, João, et al.
Published: (2024)

Informatics & dairy industry coalition: AI trends and present challenges
by: García-Méndez, Silvia, et al.
Published: (2024)

YOGA THERAPY AND DISABILITY
by: Belia Méndez Rial
Published: (2015)

Diseño y propiedades psicométricas del cuestionario de evaluación de la gestión de calidad en federaciones deportivas
by: Belia Méndez Rial
Published: (2014)

Evolución de la gestión del deporte en el territorio español: síntesis
by: Belia Méndez Rial
Published: (2014)

Using In-Service Train Vibration for Detecting Railway Maintenance Needs
by: Alisjahbana, Irene
Published: (2024)

Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages
by: García-Méndez, Silvia, et al.
Published: (2024)

Unsupervised explainable activity prediction in competitive Nordic Walking from experimental data
by: García-Méndez, Silvia, et al.
Published: (2024)

Optimal word order for non-causal text generation with Large Language Models: the Spanish case
by: Busto-Castiñeira, Andrea, et al.
Published: (2025)

Gênero e ciência: entrevista com Shirley Malcolm
by: Carmen Silvia Rial
Published: (2006)

Detection of financial opportunities in micro-blogging data with a stacked classification system
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Prevalencia de la Lactancia Materna en Huelva, duración y factores relacionados
by: María del Pilar Tierra Burguillo
Published: (2016)

Multivariate Data Augmentation for Predictive Maintenance using Diffusion
by: Thompson, Andrew, et al.
Published: (2024)

ContRail: A Framework for Realistic Railway Image Synthesis using ControlNet
by: Alexandrescu, Andrei-Robert, et al.
Published: (2024)

Exploring the DMAP: Data Architechture for ROCK-IT and Identifying Metadata Needs
by: Rial, Katherine
Published: (2024)