Adapting by copying. Towards a sustainable machine learning 

    Unceta, Irene (Date of defense: 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 ...

    Carotid Artery Ultrasound Image-Based Cardiovascular Risk Prediction using Deep Learning 

    Vila Muñoz, Maria del Mar (Date of defense: 2024-05-03)

    [eng] Cardiovascular Diseases (CVDs), the leading cause of death in developed countries, often involve atherosclerosis, which is a chronic inflammatory thickening of the inner artery layer. Monitoring atherosclerotic plaque ...

    Characterization and Mitigation of Algorithmic Bias in Recommender Systems 

    Gómez Yepes, Elizabeth (Date of defense: 2024-12-17)

    [eng] Recommender Systems are critical in helping users navigate large amounts of information by providing personalized suggestions. However, these systems can exhibit biases, especially when data imbalances exist, leading ...

    Deep Learning and Uncertainty Modeling in Visual Food Analysis 

    Aguilar, Eduardo (Date of defense: 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 Multimodal Learning for Egocentric Storytelling and Food Analysis 

    Bolaños Solà, Marc (Date of defense: 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 ...

    End-to-End AI Solutions for Capsule Endoscopy: Enhancing Efficiency and Accuracy in Gastrointestinal Diagnostics 

    Gilabert Roca, Pere (Date of defense: 2025-01-22)

    [eng] Artificial Intelligence (AI) models are fundamentally transforming the way clinicians carry out their daily tasks. By streamlining various processes, AI offers a more robust and consistent method for reviewing ...

    Modelling Uncertainty in Black-box Classification Systems 

    Mena Roldán, José (Date of defense: 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 ...

    Recognizing Action and Activities from Egocentric Images 

    Cartas Ayala, Alejandro (Date of defense: 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 ...