Tesis Doctorales
- Cesar Montenegro Portillo "Contributions to Natural Languaje Processing and Hierarchical Classification" UPV/EHU. 2024
- Onintze Zaballa Larumbe "Unsupervised learning approaches for disease progression modeling" UPV/EHU. 2024
- Jon Vadillo Jueguen "Broadening the Horizon of Adversarial Attaks in Deep Learning" UPV/EHU. 2023
- Asier Izquierdo Perez "Intelligent road lane mark extraction using a Mobile Mapping System" UPV/EHU. 2023
- Fátima Aurora Sáiz Álvaro "Artificial Intelligence for advanced manufacturing quality" UPV/EHU. 2023
- Itsaso Rodriguez Moreno "Machine Learning Approaches to Video Activity Recognition: from Computer Vision to Signal Processing" UPV/EHU. 2023
- David Montero Martin "Optimization for Deep Learning Systems Applied to Computer Vision" UPV/EHU. 2023
- Ander Iriondo Azpiri "Advances in flexible manipulation through the application of AI-based techniques" UPV/EHU. 2023
- Josu Ircio Fernandez "Anomaly Detection in Multivariate Time Serie" UPV/EHU. 2023
- Ricardo Muñoz Cancino "On the use of multi-sensor digital traces to discover spatio-temporal human behavioral pattems" UPV/EHU. 2023
- David Velásquez Rendón "Machine learning based anomaly detection for industry 4.0 systems" UPV/EHU. 2023
- Iker Lluvia Hermosilla "Contributions to autonomous robust navigation of mobile robots in industrial applications" UPV/EHU. 2023
- Iker Beñaran Muñoz "On the study of Crowdsourced Labelled Data and Annotators: Beyond Noisy Labels" UPV/EHU. 2023
- Nerea Aranjuelo Ansa "Data-centric Design and Training of Deep Neural Networks with Multiple Data Modalities for Vision-based Perception Systems" UPV/EHU. 2023
- Marina Aguilar Moreno "Contributions to LiDAR based SLAM and Computational Ethology" UPV/EHU. 2023
- Meritxell Gómez Omella "Contributions to time series analysis, modelling and forecasting to increase reliability in industrial environments" UPV/EHU. 2023
- Unai Elordi Hidalgo "Optimizing Deep Neural Network Deployment for Intelligent Security Video Analytics" UPV/EHU. 2023
- Verónica Álvarez Castro "Supervised Learning in Time-dependent Environments with Performance Guarantees" UPV/EHU. 2023
- Abdullah Jamal Baradaaji "Contribution to Graph-based Semi-supervised Learning: Joint Label and Latent Space Estimation" UPV/EHU. 2023
- Ibon Merino Bermejo "Estrategias de visión por computador para la estimación de pose en el contexto de aplicaciones robóticas industriales: avances en el uso de modelos tanto clásicos como de Deep Learning en imágenes 2D y nubes de puntos" UPV/EHU. 2023
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