Programa de Doctorat en Tecnologies de la Informació i les Comunicacions: Recent submissions
Now showing items 181-200 of 394
Non-focal non-thermal electrical methods for cancer treatment
Most physical ablation modalities for cancer treatment are focal and are based on thermal damage. Despite their regular clinical use as an alternative to surgical resection, their thermal principle of operation entails ...
Cochlear implantation modeling and functional evaluation considering uncertainty and parameter variability
Recent innovations in computational modeling have led to important advances towards the development of predictive tools to simulate and optimize surgery outcomes. This thesis is focused on cochlear implantation surgery, ...
Probabilistic models for human judgments about uncertainty in intuitive inference tasks
Updating beliefs to maintain coherence with observational evidence is a cornerstone of rationality. This entails the compliance with probabilistic principles which acknowledge that real-world observations are consistent ...
Digital Lutherie -- Crafting musical computers for new musics performance and improvisation
This is a dissertation about performing music with computers, and about constructing the tools that will facilitate playing and improvising with these computers. The primary aim of this research is to construct a theoretical ...
Uncovering the large-scale effects and mechanisms of brain disease through whole-brain computational modeling
The activity of the brain at rest reveals an intricate functional architecture and yet, the underlying mechanisms generating it are still not well understood. Whole-brain computational models have turned into fundamental ...
Mechanistic insights into the large-scale dynamics underlying different brain states
Brain activity during rest exhibits a robust intrinsic spatio-temporal structure characterized by correlated patterns of neural activity. The study of the brain in altered states of vigilance or drug-induced brain states ...
Combined task and motion planning as classical AI planning
Planning in robotics is often split into task and motion planning. The task planner decides what needs to be done, while the motion planner fills up geometric details. However, such a decomposition is not effective in general ...
Similarity and style in electronic dance music drum rhythms
This thesis presents original research carried out in the topic of electronic dance music (EDM) drum sequencing, a fundamental and yet underdeveloped subject in the music production literature. The work undertaken is focused ...
Connecting time and timbre: computational methods for generative rhythmic loops in symbolic and signal domains
The practice of music composition often stems from a small idea or motif that blossoms into a complete work through careful application of repetition, variation and a dash of inspiration. In the highly rhythmic and repetitive ...
Collocation and collocation error processing in the context of second language learning
Suele admitirse que las colocaciones en el sentido de coocurrencias idiosincráticas de palabras son un reto en el aprendizaje de lenguas. Los estudiantes producen frecuentemente combinaciones “agramaticales”' como *dar una ...
Tonality estimation in electronic dance music: a computational and musically informed examination
This dissertation revolves around the task of computational key estimation in electronic dance music, upon which we perform three interrelated operations. First, we attempt to detect possible misconceptions within the task, ...
Source separation methods for orchestral music: timbre-informed and score-informed strategies
Humans are able to distinguish between various sound sources in their environment and selectively attend to specific ones. However, it is a difficult task to teach a computer to automatically separate the acoustic scene ...
Machine learning methods for understanding social media communication: modeling irony and emojis
In this dissertation we propose algorithms for the analysis of social media texts, focusing on two particular aspects: irony and emojis. We propose novel automatic systems, based on machine learning methods, able to recognize ...
Several approaches to improve noise removal in photographic images
Noise acquisition is an unavoidable component when capturing photographs, even in the case of current state of the art cameras. This problem is even accentuated when the lighting conditions are not ideal. Therefore, ...
Space, memory, action: insights from behaviour and neurophysiology
Human memory is fundamentally linked to experience. Traditionally, however, it has been studied in restricted tasks, under constrained experimental conditions. Understanding memory from a situated, embodied, spatial ...
Novel approaches for generalized planning
Classical planning is the problem of finding a sequence of actions, from a given initial state to some goal state. While, in generalized planning, a plan is a solution to a set of planning problems, which belong to the ...
Knowledge extraction and representation learning for music recommendation and classification
In this thesis, we address the problems of classifying and recommending music present in large collections. We focus on the semantic enrichment of descriptions associated to musical items (e.g., artists biographies, album ...
Weakly-supervised learning for automatic facial behaviour analysis
In this Thesis we focus on Automatic Facial Behavior Analysis, which attempts to develop autonomous systems able to recognize and understand human facial expressions. Given the amount of information expressed by facial ...
Belief tracking for multi-agent planning
Classical planning is the problem of finding a sequence of actions that achieve a desired goal from an initial state, assuming deterministic actions. Dynamic epistemic logic (DEL) on the other hand, provides formal ...
The Information structure-prosody interface: on the role of hierarchical thematicity in an empirically-grounded model
This dissertation presents an empirical study on the information structure– prosody interface based on: (i) a formal description of hierarchical thematicity within a systematic language model for natural language generation ...
