Adapting by copying. Towards a sustainable machine learning 

    Unceta, Irene (Fecha de defensa: 2021-03-01)

    Despite the rapid growth of machine learning in the past decades, deploying automated decision making systems in practice remains a challenge for most companies. On an average day, data scientists face substantial barriers ...

    Deep Learning and Uncertainty Modeling in Visual Food Analysis 

    Aguilar, Eduardo (Fecha de defensa: 2020-09-23)

    Several computer vision approaches have been proposed for tackling food analysis problems, due to the challenging problem it poses, the ease collection of food images, and its numerous applications to health and leisure. ...

    Deep Learning-based Solutions to Improve Diagnosis in Wireless Capsule Endoscopy 

    Laiz Treceño, Pablo (Fecha de defensa: 2023-12-12)

    [eng] Deep Learning (DL) models have gained extensive attention due to their remarkable performance in a wide range of real-world applications, particularly in computer vision. This achievement, combined with the increase ...

    Deep Multimodal Learning for Egocentric Storytelling and Food Analysis 

    Bolaños Solà, Marc (Fecha de defensa: 2021-04-09)

    The world of Machine Learning and Computer Vision has experienced a revolution since the last years. The appearance of Deep Learning algorithms and Convolutional Neural Networks, altogether with the increased processing ...

    Estudio del estado actual, proyecto de formación y perspectivas del futuro de la informática farmacéutica 

    Gratacòs-Roig, Jordi (Fecha de defensa: 1990-01-01)

    Presentar una tesis doctoral sobre informática, sea el campo de conocimiento que sea, tiene un elevado riesgo debido a los imparables avances que se producen a diario, y lo que se dice hoy mañana está anticuado. El ámbito ...

    From pixels to gestures: learning visual representations for human analysis in color and depth data sequences 

    Hernández-Vela, Antonio (Fecha de defensa: 2015-03-09)

    The visual analysis of humans from images is an important topic of interest due to its relevance to many computer vision applications like pedestrian detection, monitoring and surveillance, human-computer interaction, ...

    Generalizability in multi-centre cardiac image analysis with machine learning 

    Campello Román, Víctor Manuel (Fecha de defensa: 2023-12-15)

    [eng] The field of Artificial Intelligence (AI) has undergone a revolution in recent years with the advent of more efficient computing hardware and well-documented software for model development. Many fields are being ...

    Modelling Uncertainty in Black-box Classification Systems 

    Mena Roldán, José (Fecha de defensa: 2020-12-15)

    Currently, thanks to the Big Data boom, the excellent results obtained by deep learning models and the strong digital transformation experienced over the last years, many companies have decided to incorporate machine ...

    Optimization of neural networks for deep learning and applications to CT image segmentation 

    Pezzano, Giuseppe (Fecha de defensa: 2023-07-27)

    [eng] During the last few years, AI development in deep learning has been going so fast that even important researchers, politicians, and entrepreneurs are signing petitions to try to slow it down. The newest methods for ...

    Paper d'Internet en la cultura emergent del món actual (1945-2003), El. Instal·lacions interactives, Net.Art i hipertextos en línia com a estudis de cas 

    Campàs Montaner, Joan (Fecha de defensa: 2005-04-28)

    Es tracta d'una recerca d'història que s'aplica al camp de la producció artística i literària en xarxa i que pretén explicar com apareix, es desenvolupa, es consolida i es legitima un nou camp cultural, com el mode de ...

    Recognizing Action and Activities from Egocentric Images 

    Cartas Ayala, Alejandro (Fecha de defensa: 2020-11-01)

    Egocentric action recognition consists in determining what a wearable camera user is doing from his perspective. Its defining characteristic is that the person himself is only partially visible in the images through his ...

    Sentir la pantalla. Diseño de Interficie /Superficie Multimedia Interactiva 

    Navarro Güere, Héctor Iván (Fecha de defensa: 1999-06-25)

    La interfaz humana-máquina actúa como intermediario entre el usuario y el sistema. Evitan que el usuario tenga que enfrentarse directamente a la compleja realidad del sistema, presentándole un modelo y traduciendo sus ...

    Software libre y educación. Un estudio de casos en la enseñanza obligatoria en Cataluña. 

    Costa, Francisco de Assis da (Fecha de defensa: 2011-02-14)

    El software libre está cada vez más presente en lo cotidiano y actualmente ha dejado de ser sólo un asunto de interés para técnicos o profesionales de informática para volverse de interés general, provocando así discusiones ...

    Towards Video Transformers for Automatic Human Analysis 

    Selva Castelló, Javier (Fecha de defensa: 2023-12-19)

    [eng] With the aim of creating artificial systems capable of mirroring the nuanced understanding and interpretative powers inherent to human cognition, this thesis embarks on an exploration of the intersection between human ...