Now showing items 41-60 of 86

    Knowledge-based and data-driven approaches for geographical information access 

    Ferrés Domènech, Daniel (Date of defense: 2017-11-29)

    Geographical Information Access (GeoIA) can be defined as a way of retrieving information from textual collections that includes the automatic analysis and interpretation of the geographical constraints and terms present ...

    Open source software ecosystems quality analysis from data sources 

    Franco Bedoya, Oscar Hernán (Date of defense: 2018-02-27)

    Background: Open source software (OSS) and software ecosystems (SECOs) are two consolidated research areas in software engineering. The adoption of OSS by firms, governments, researchers and practitioners has been increasing ...

    Algebraic dependency grammar 

    Cardó, Carles, 1975- (Date of defense: 2018-03-15)

    We propose a mathematical formalism called Algebraic Dependency Grammar with applications to formal linguistics and to formal language theory. Regarding formal linguistics we aim to address the problem of grammaticality ...

    Using natural language processing for question answering in closed and open domains 

    Latifi, Majid (Date of defense: 2018-05-25)

    With regard to the growth in the amount of social, environmental, and biomedical information available digitally, there is a growing need for Question Answering (QA) systems that can empower users to master this new wealth ...

    Real-time quality visualization of medical models on commodity and mobile devices 

    Díaz García, Jesús (Date of defense: 2018-05-25)

    This thesis concerns the specific field of visualization of medical models using commodity and mobile devices. Mechanisms for medical imaging acquisition such as MRI, CT, and micro-CT scanners are continuously evolving, ...

    A soft computing decision support framework for e-learning 

    Castro Espinoza, Félix (Date of defense: 2018-06-21)

    Supported by technological development and its impact on everyday activities, e-Learning and b-Learning (Blended Learning) have experienced rapid growth mainly in higher education and training. Its inherent ability to break ...

    Realistic reconstruction and rendering of detailed 3D scenarios from multiple data sources 

    Argudo Medrano, Oscar (Date of defense: 2018-07-19)

    During the last years, we have witnessed significant improvements in digital terrain modeling, mainly through photogrammetric techniques based on satellite and aerial photography, as well as laser scanning. These techniques ...

    Human-smart rollator interaction for gait analysis and fall prevention using learning methods and the i-Walker 

    Cortés Martínez, Atia (Date of defense: 2018-07-20)

    The ability to walk is typically related to several bio-mechanical components that are involved in the gait cycle (or stride), including free mobility of joints, particularly in the legs; coordination of muscle activity ...

    Analysis of class C G-protein coupled receptors using supervised classification methods 

    König, Caroline Leonore (Date of defense: 2018-10-30)

    G protein-coupled receptors (GPCRs) are cell membrane proteins with a key role in regulating the function of cells. This is the result of their ability to transmit extracellular signals, which makes them relevant for ...

    A hybrid approach for item collection recommendations : an application to automatic playlist continuation 

    Gkatzioura, Anna (Date of defense: 2018-11-23)

    Current recommender systems aim mainly to generate accurate item recommendations, without properly evaluating the multiple dimensions of the recommendation problem. However, in many domains, like in music, where items are ...

    Light methods for conformance checking of business processes 

    Taymouri, Farbod (Date of defense: 2018-12-21)

    Conformance Checking is a new research discipline devoted to identify deviations between business process models and their real executions. Identifying deviations boils down to the notion of alignment conceptually. An ...

    Learning latent variable models : efficient algorithms and applications 

    Ruffini, Matteo (Date of defense: 2019-02-14)

    Learning latent variable models is a fundamental machine learning problem, and the models belonging to this class - which include topic models, hidden Markov models, mixture models and many others - have a variety of ...

    Logic decomposition and adaptive clocking for the optimization of digital circuits 

    Machado, Lucas (Date of defense: 2019-02-21)

    Over the course of 60 years, since the invention of the integrated circuit (IC), exponential improvements in cost, performance and power consumption were observed. Such advances have been strongly linked with the continuous ...

    Synthesis of variability-tolerant circuits with adaptive clocking 

    Moreno Vega, Alberto (Date of defense: 2019-03-08)

    Improvements in circuit manufacturing have allowed, along the years, increasingly complex designs. This has been enabled by the miniaturization that circuit components have undergone. But, in recent years, ...

    Towards adaptative monitoring for self-adaptative systems 

    Zavala, Edith (Date of defense: 2019-07-05)

    Nowadays, most of the approaches supporting self-adaptive systems (SASs) rely on static feedback control loops, for managing their adaptation process. One of the most popular feedback loops is the MAPE-K loop. In this loop, ...

    High-precision computation of uniform asymptotic expansions for special functions 

    Navas Palencia, Guillermo (Date of defense: 2019-07-22)

    In this dissertation, we investigate new methods to obtain uniform asymptotic expansions for the numerical evaluation of special functions to high-precision. We shall first present the theoretical and computational fundamental ...

    Analysis of partial match queries in multidimensional search trees 

    Lau Laynes-Lozada, Gustavo Salvador (Date of defense: 2019-11-29)

    The main contribution of this thesis is to deepen and generalize previous work done in the average-case analysis of partial match queries in several types of multidimensional search trees. In particular, our focus has been ...

    Document-level machine translation : ensuring translational consistency of non-local phenomena 

    Martínez Garcia, Eva (Date of defense: 2019-12-19)

    In this thesis, we study the automatic translation of documents by taking into account cross-sentence phenomena. This document-level information is typically ignored by most of the standard state-of-the-art Machine ...

    Algorithmic techniques for physical design : macro placement and under-the-cell routing 

    Vidal Obiols, Alexandre (Date of defense: 2020-01-24)

    With the increase of chip component density and new manufacturability constraints imposed by modern technology nodes, the role of algorithms for electronic design automation is key to the successful implementation of ...

    An adaptive, fault-tolerant system for road network traffic prediction using machine learning 

    Mena-Yedra, Rafael (Date of defense: 2020-03-06)

    This thesis has addressed the design and development of an integrated system for real-time traffic forecasting based on machine learning methods. Although traffic prediction has been the driving motivation for the thesis ...