Ekhi Zugasti

According to our database, Ekhi Zugasti authored at least 12 papers between 2018 and 2023.

Collaborative distances:

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

2023

Diagnostic spatio-temporal transformer with faithful encoding.

Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos

Knowl. Based Syst., 2023

Towards Robust Defect Detection in Casting Using Contrastive Learning.

Eneko Intxausti, Ekhi Zugasti, Carlos Cernuda, Ane Miren Leibar, Estibaliz Elizondo

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022

Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge.

Oscar Serradilla, Ekhi Zugasti, Julian Ramirez de Okariz, Jon Rodriguez, Urko Zurutuza

Int. J. Comput. Integr. Manuf., 2022

Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects.

Oscar Serradilla, Ekhi Zugasti, Jon Rodriguez, Urko Zurutuza

Appl. Intell., 2022

2021

DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss.

Jokin Labaien, Ekhi Zugasti, Xabier De Carlos

CoRR, 2021

2020

Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect.

Oscar Serradilla, Ekhi Zugasti, Urko Zurutuza

CoRR, 2020

Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery.

Oscar Serradilla, Ekhi Zugasti, Carlos Cernuda, Andoitz Aranburu, Julian Ramirez de Okariz, Urko Zurutuza

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Contrastive Explanations for a Deep Learning Model on Time-Series Data.

Jokin Labaien, Ekhi Zugasti, Xabier De Carlos

Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

2019

A Big Data implementation of the MANTIS reference architecture for predictive maintenance.

Felix Larrinaga, Javier Fernandez-Anakabe, Ekhi Zugasti, Iñaki Garitano, Urko Zurutuza, Jon Olaizola, Mikel Anasagasti, Mikel Mondragon

J. Syst. Control. Eng., 2019

An Attribute Oriented Induction based Methodology for Data Driven Predictive Maintenance.

Javier Fernandez-Anakabe, Ekhi Zugasti Uriguen, Urko Zurutuza Ortega

CoRR, 2019

2018

Null is Not Always Empty: Monitoring the Null Space for Field-Level Anomaly Detection in Industrial IoT Environments.

Ekhi Zugasti, Mikel Iturbe, Iñaki Garitano, Urko Zurutuza

Proceedings of the 2018 Global Internet of Things Summit, 2018

Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance.

Felix Larrinaga, Javier Fernandez-Anakabe, Ekhi Zugasti, Iñaki Garitano, Urko Zurutuza, Mikel Anasagasti, Mikel Mondragon

Proceedings of the 5th International Conference on Control, 2018