Ekhi Zugasti

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Reference Architecture

Spatio Temporal Databases

Defect Detection

Top Venues

J. Syst. Control. Eng.

Publications

Jokin Alcibar, Jose Ignacio Aizpurua, Ekhi Zugasti, Oier Penagarikano
A Hybrid Probabilistic Battery Health Management Approach for Robust Inspection Drone Operations. CoRR (2024)
Jokin Alcibar, Jose Ignacio Aizpurua, Ekhi Zugasti
Towards a Probabilistic Fusion Approach for Robust Battery Prognostics. CoRR (2024)
Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos
Diagnostic Spatio-temporal Transformer with Faithful Encoding. CoRR (2023)
Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos
Diagnostic spatio-temporal transformer with faithful encoding. Knowl. Based Syst. 274 (2023)
Eneko Intxausti, Ekhi Zugasti, Carlos Cernuda, Ane Miren Leibar, Estibaliz Elizondo
Towards Robust Defect Detection in Casting Using Contrastive Learning. CIARP (2023)
Oscar Serradilla, Ekhi Zugasti, Julian Ramirez de Okariz, Jon Rodriguez, Urko Zurutuza
Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge. Int. J. Comput. Integr. Manuf. 35 (12) (2022)
Oscar Serradilla, Ekhi Zugasti, Jon Rodriguez, Urko Zurutuza
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects. Appl. Intell. 52 (10) (2022)
Jokin Labaien, Ekhi Zugasti, Xabier De Carlos
DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss. CoRR (2021)
Oscar Serradilla, Ekhi Zugasti, Carlos Cernuda, Andoitz Aranburu, Julian Ramirez de Okariz, Urko Zurutuza
Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery. FUZZ-IEEE (2020)
Oscar Serradilla, Ekhi Zugasti, Urko Zurutuza
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect. CoRR (2020)
Jokin Labaien, Ekhi Zugasti, Xabier De Carlos
Contrastive Explanations for a Deep Learning Model on Time-Series Data. DaWaK (2020)
Felix Larrinaga, Javier Fernandez-Anakabe, Ekhi Zugasti, Iñaki Garitano, Urko Zurutuza, Jon Olaizola, Mikel Anasagasti, Mikel Mondragon
A Big Data implementation of the MANTIS reference architecture for predictive maintenance. J. Syst. Control. Eng. 233 (10) (2019)
Felix Larrinaga, Javier Fernandez-Anakabe, Ekhi Zugasti, Iñaki Garitano, Urko Zurutuza, Mikel Anasagasti, Mikel Mondragon
Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance. CoDIT (2018)
Ekhi Zugasti, Mikel Iturbe, Iñaki Garitano, Urko Zurutuza
Null is Not Always Empty: Monitoring the Null Space for Field-Level Anomaly Detection in Industrial IoT Environments. GIoTS (2018)