Departamento
Ciencia de la Computación e Inteligencia Artificial
Tesis defendidas (137) Tesis defendidas en Departamento Ver tesis dirigidas
2023
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Advances in flexible manipulation through the application of AI-based techniques
IRIONDO AZPIRI, ANDER
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Broadening the Horizon of Adversarial Attacks in Deep Learning
VADILLO JUEGUEN, JON
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Contributions to LiDAR based SLAM and Computational Ethology
AGUILAR MORENO, MARINA
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Contributions to autonomous robust navigation of mobile robots in industrial applications
LLUVIA HERMOSILLA, IKER
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Contributions to the mathematical modeling of estimation of distribution algorithms and pseudo-boolean functions
UNANUE GUAL, IMANOL
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Contributions to time series analysis, modelling and forecasting to increase reliability in industrial environments
GÓMEZ OMELLA, MERITXELL
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Data-centric Design and Training of Deep Neural Networks with Multiple Data Modalities for Vision-based Perception Systems
ARANJUELO ANSA, NEREA
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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
MERINO BERMEJO, IBON
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Intelligent road lane mark extraction using a Mobile Mapping System
IZQUIERDO PÉREZ, ASIER
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Machine learning approaches to video activity recognition: from computer vision to signal processing
RODRIGUEZ MORENO, ITSASO
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Machine learning based anomaly detection for industry 4.0 systems
VELASQUEZ RENDON, DAVID
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On the study of crowdsourced labelled data and annotators: beyond noisy labels
BEÑARAN MUÑOZ, IKER
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On the use of multi-sensor digital traces to discover spatio-temporal human behavioral patterns
MUÑOZ CANCINO, RICARDO LUIS
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Optimization for deep learning systems applied to computer vision
MONTERO MARTÍN, DAVID
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Optimizing deep neural network deployment for intelligent security video analytics
ELORDI HIDALGO, UNAI
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Supervised learning in time-dependent environments with performance guarantees
ÁLVAREZ CASTRO, VERÓNICA
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Understanding non-convex optimization problems and stochastic optimization algorithms
ARZA GONZÁLEZ, ETOR
2022
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Advances in Branch-and-Fix methods to solve the Hamiltonian cycle problem in manufacturing optimization
Murua Etxeberria, Maialen
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Advances in Streaming Novelty Detection
CARREÑO LOPEZ, ANDER
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Assessing the representation of seen and unseen contents in human brains and deep artificial networks
MEI, NING