Ekhi Zugasti - RankMe

17 papers B 2C 2Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A hybrid probabilistic battery health management approach for robust inspection drone operations. Eng. Appl. Artif. Intell. Jokin Alcibar, Jose Ignacio Aizpurua, Ekhi Zugasti, Oier Penagarikano
2025	J	`jnl`	An interpretable operational state classification framework for elevators through convolutional neural networks. Comput. Aided Civ. Infrastructure Eng. Jon Olaizola, Unai Izagirre, Oscar Serradilla, Ekhi Zugasti, Mikel Mendicute, Jose Ignacio Aizpurua
2025	—	`conf`	Navigating the Learning Landscape: A Case Study of Multisubject Problem-Based Learning in Computer Engineering Degree. CSEDU (2) Urtzi Markiegi, Alain Perez, Xabier Valencia, Felix Larrinaga, Iñigo Aldalur, Ekhi Zugasti
2024	J	`jnl`	A Hybrid Probabilistic Battery Health Management Approach for Robust Inspection Drone Operations. CoRR Jokin Alcibar, Jose Ignacio Aizpurua, Ekhi Zugasti, Oier Penagarikano
2024	J	`jnl`	Towards a Probabilistic Fusion Approach for Robust Battery Prognostics. CoRR Jokin Alcibar, Jose Ignacio Aizpurua, Ekhi Zugasti
2023	J	`jnl`	Diagnostic Spatio-temporal Transformer with Faithful Encoding. CoRR Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos
2023	J	`jnl`	Diagnostic spatio-temporal transformer with faithful encoding. Knowl. Based Syst. Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos
2023	C	`conf`	Towards Robust Defect Detection in Casting Using Contrastive Learning. CIARP Eneko Intxausti, Ekhi Zugasti, Carlos Cernuda, Ane Miren Leibar, Estibaliz Elizondo
2022	J	`jnl`	Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects. Appl. Intell. Oscar Serradilla, Ekhi Zugasti, Jon Rodriguez, Urko Zurutuza
2022	J	`jnl`	Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge. Int. J. Comput. Integr. Manuf. Oscar Serradilla, Ekhi Zugasti, Julian Ramirez de Okariz, Jon Rodriguez, Urko Zurutuza
2021	J	`jnl`	DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss. CoRR Jokin Labaien, Ekhi Zugasti, Xabier De Carlos
2020	B	`conf`	Contrastive Explanations for a Deep Learning Model on Time-Series Data. DaWaK Jokin Labaien, Ekhi Zugasti, Xabier De Carlos
2020	J	`jnl`	Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect. CoRR Oscar Serradilla, Ekhi Zugasti, Urko Zurutuza
2020	B	`conf`	Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery. FUZZ-IEEE Oscar Serradilla, Ekhi Zugasti, Carlos Cernuda, Andoitz Aranburu, Julian Ramirez de Okariz, Urko Zurutuza
2019	J	`jnl`	A Big Data implementation of the MANTIS reference architecture for predictive maintenance. J. Syst. Control. Eng. Felix Larrinaga, Javier Fernandez-Anakabe, Ekhi Zugasti, Iñaki Garitano, Urko Zurutuza, Jon Olaizola, Mikel Anasagasti, Mikel Mondragon
2018	C	`conf`	Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance. CoDIT Felix Larrinaga, Javier Fernandez-Anakabe, Ekhi Zugasti, Iñaki Garitano, Urko Zurutuza, Mikel Anasagasti, Mikel Mondragon
2018	—	`conf`	Null is Not Always Empty: Monitoring the Null Space for Field-Level Anomaly Detection in Industrial IoT Environments. GIoTS Ekhi Zugasti, Mikel Iturbe, Iñaki Garitano, Urko Zurutuza