Tesis defendidas (136) Tesis defendidas en Departamento Ver tesis dirigidas

2023

  1. Advances in flexible manipulation through the application of AI-based techniques

    IRIONDO AZPIRI, ANDER

  2. Broadening the Horizon of Adversarial Attacks in Deep Learning

    VADILLO JUEGUEN, JON

  3. Contributions to LiDAR based SLAM and Computational Ethology

    AGUILAR MORENO, MARINA

  4. Contributions to autonomous robust navigation of mobile robots in industrial applications

    LLUVIA HERMOSILLA, IKER

  5. Contributions to the mathematical modeling of estimation of distribution algorithms and pseudo-boolean functions

    UNANUE GUAL, IMANOL

  6. Contributions to time series analysis, modelling and forecasting to increase reliability in industrial environments

    GÓMEZ OMELLA, MERITXELL

  7. Data-centric Design and Training of Deep Neural Networks with Multiple Data Modalities for Vision-based Perception Systems

    ARANJUELO ANSA, NEREA

  8. 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

  9. Intelligent road lane mark extraction using a Mobile Mapping System

    IZQUIERDO PÉREZ, ASIER

  10. Machine learning approaches to video activity recognition: from computer vision to signal processing

    RODRIGUEZ MORENO, ITSASO

  11. Machine learning based anomaly detection for industry 4.0 systems

    VELASQUEZ RENDON, DAVID

  12. On the study of crowdsourced labelled data and annotators: beyond noisy labels

    BEÑARAN MUÑOZ, IKER

  13. On the use of multi-sensor digital traces to discover spatio-temporal human behavioral patterns

    MUÑOZ CANCINO, RICARDO LUIS

  14. Optimization for deep learning systems applied to computer vision

    MONTERO MARTÍN, DAVID

  15. Optimizing deep neural network deployment for intelligent security video analytics

    ELORDI HIDALGO, UNAI

  16. Supervised learning in time-dependent environments with performance guarantees

    ÁLVAREZ CASTRO, VERÓNICA

2022

  1. Advances in Branch-and-Fix methods to solve the Hamiltonian cycle problem in manufacturing optimization

    Murua Etxeberria, Maialen

  2. Advances in Streaming Novelty Detection

    CARREÑO LOPEZ, ANDER

  3. Assessing the representation of seen and unseen contents in human brains and deep artificial networks

    MEI, NING

  4. Contributions to Time Series Classification: Meta-Learning and Explainability

    Abanda Elustondo, Amaia