Now showing items 21-40 of 389

    Multilingual adaptative text simplification 

    Sheang, Kim Cheng (Date of defense: 2023-11-02)

    Reading is an essential skill that plays a crucial role in our daily lives. It allows us to access information, gain knowledge, expand our understanding of the world around us, and build the foundation for learning, ...

    Towards a comprenhension of spatiotemporal brain dymamics in psychotic disorders a whole-brain computational perspective based on fMRI 

    Mana, Ludovica (Date of defense: 2023-10-27)

    Psychotic disorders are highly heterogeneous, complicating diagnosis and treatment. The mechanisms underlying these disorders are still unclear, and bridging the gap between neural properties and impairments remains a ...

    Interpretable deep-learning models for sound event detection and classification 

    Zinemanas Frieti, Pablo (Date of defense: 2023-10-20)

    Deep-learning models have revolutionized state-of-the-art technologies in many research areas, but their black-box structure makes it difficult to understand their inner workings and the rationale behind their predictions. ...

    Multilingual retrieval of crisis-relevant information from social media 

    Vitiugin, Fedor (Date of defense: 2023-10-06)

    Social media is a valuable platform for sharing real-time perspectives and insights, particularly during dynamic events. Extracting relevant information from social media during emergencies can be challenging, especially ...

    Proximal junctional failure stratification in adult spine surgery using 3D patient-specific finite element models 

    Rasouligandomani, Morteza (Date of defense: 2023-10-02)

    Adult Spine Deformity (ASD) leads to abnormal spine curvature causing imbalance, pain, and fall risk. Spinal surgery is common but carries the risk of Mechanical Complications (MC), notably Proximal Junctional Failure ...

    Information fusion and learning from diverse clinical cohorts and heterogeneus data 

    Martí Castellote, Pablo-Miki (Date of defense: 2023-09-27)

    This PhD thesis explores how data science can be leveraged to learn from diverse cohorts and fuse information from heterogeneous data, aiming to advance understanding and improve prediction in healthcare settings. It covers ...

    Information propagation in the cortex across the sleep-wake cycle: a computational study 

    Razi, Farhad (Date of defense: 2023-07-21)

    During the deep phases of sleep we do not normally wake up by a thunder, but we nevertheless notice it when awake. The exact same sound gets to our ears and cortex through the thalamus and still, it triggers two very ...

    Constraints and rewards in behavior and optimal decision making 

    Ramirez-Ruiz, Jorge (Date of defense: 2023-06-22)

    The idea of optimal decision-making presupposes certain features about the agent and their environment. This thesis examines two common assumptions in disciplines that study natural and artificial behavior: perfect ...

    Representation learning for hierarchical reinforcement learning 

    Steccanella, Lorenzo (Date of defense: 2023-05-19)

    Hierarchical Reinforcement Learning (HRL) has the potential to simplify the solution of environments with long horizons and sparse rewards. The idea behind HRL is to decompose a complex decision-making problem into ...

    Complexity changes in neuroimaging signals point to mechanisms of neuropsychiatric disease 

    Blair, David Sutherland (Date of defense: 2023-04-24)

    The past decade has seen several attempts to employ the entropy of neuroimaging signals as a potential biomarker for cognitive decline or traumatic brain injury (C. Y. Liu et al. 2013; Adhikari et al. 2017; Li et al. 2018). ...

    Re-thinking large scale hate speech identification: beyond common NLP conventions and supervised machine learning 

    Teixeira Fortuna, Paula Cristina (Date of defense: 2023-03-06)

    The detection of hate speech in online spaces is traditionally conceptualized as a classification task that uses Machine Learning (ML)-driven Natural Language Processing (NLP) techniques. In accordance with this ...

    Towards efficient audio-visual source separation and synthesis 

    Montesinos García, Juan Felipe (Date of defense: 2023-03-31)

    Nuestro cerebro tiene la habilidad innata de aislar diferentes sonidos en ambientes ruidosos (Efecto de fiesta de coctel), así como de entender la relación entre aquello que vemos y oímos. Esta tesis tiene como objetivo ...

    Improvements to incentives in incentive-driven blockchain technologies 

    McMenamin, Conor (Date of defense: 2023-03-17)

    In this thesis, we present a set of protocols in areas at the core of current blockchain technology literature; consensus, decentralized finance and distributed computing. These areas are bound by a critical dependency ...

    Toward empathic systems: implicit understanding and modulation of human cognitive and affective states 

    López Carral, Héctor (Date of defense: 2023-03-13)

    Emotions are a fundamental part of human life. They play a critical role in how we think, behave, and implicitly understand each other. However, although computing devices are increasingly consequential in our world, they ...

    Zero-knowledge proofs for self-sovereign identities in decentralized services 

    Salleras, Xavier (Date of defense: 2023-03-13)

    Telecommunication systems such as mobile communications are evolving over time, and thanks to that, many digital services have arisen in the last decade. Usually, these services ask their users to provide sensitive information ...

    Assessing the digital well-being of educational technologies supported by learning analytics 

    Hakami, Eyad (Date of defense: 2023-02-10)

    The accelerating adoption of digital technologies creates a direct relationship between the status of individual and societal well-being on one hand, and the state of the digital technologies that underpin human life ...

    Automatic characterization and generation of music loops and instrument samples for electronic music production 

    Ramires, António (Date of defense: 2023-02-08)

    Repurposing audio material to create new music - also known as sampling - was a foundation of electronic music and is a fundamental component of this practice. Currently, large-scale databases of audio offer vast collections ...

    Assessing the impact of music recommendation diversity on listeners 

    Porcaro, Lorenzo (Date of defense: 2022-12-16)

    This thesis focuses on assessing the impact that music recommendation diversity may have on listeners. In the music domain, diversity is one of the values that recommender systems should preserve, because the world music ...

    Risk assessment in complex data settings: algorithmic fairness and causal inference 

    Karimi-Haghighi, Marzieh (Date of defense: 2023-01-20)

    We try to address some challenges in structured risk assessment tools in two application areas of recidivism risk in criminal justice and dropout risk in higher education domain. Using Machine Learning (ML) methods, we ...

    Brain states in health and disease: insights from neuroimaging and theoretical neuroscience 

    Escrichs, Anira (Date of defense: 2022-12-12)

    Spontaneous brain activity persists and transitions between brain states, such as from wakefulness to sleep, from development to ageing, or it may transition to pathological states such as coma. Nevertheless, a consensual ...