A constraint-based hypergraph partitioning approach to coreference resolution 

    Sapena Masip, Emili (Date of defense: 2012-05-16)

    The objectives of this thesis are focused on research in machine learning for coreference resolution. Coreference resolution is a natural language processing task that consists of determining the expressions in a discourse ...

    A dynamic adaptive framework for improving case-based reasoning system performance 

    Orduña, Fernando (Date of defense: 2016-02-05)

    An optimal performance of a Case-Based Reasoning (CBR) system means, the CBR system must be efficient both in time and in size, and must be optimally competent. The efficiency in time is closely related to an efficient and ...

    A Flexible Multitask Summarizer for Documents from Different Media, Domain and Language 

    Fuentes Fort, Maria (Date of defense: 2008-03-31)

    Automatic Summarization is probably crucial with the increase of document generation. Particularly when retrieving, managing and processing information have become decisive tasks. However, one should not expect perfect ...

    A framework for the analytical and visual interpretation of complex spatiotemporal dynamics in soccer 

    Fernández de la Rosa, Javier (Date of defense: 2022-01-18)

    Sports analytics is an emerging field focused on the application of advanced data analysis for assessing the performance of professional athletes and teams. In soccer, the integration of data analysis is in its initial ...

    A Hybrid Environment for Syntax-Semantic Tagging 

    Padró, Lluís (Date of defense: 1998-02-06)

    The thesis describes the application of the relaxation labelling algorithm to NLP disambiguation. Language is modelled through context constraint inspired on Constraint Grammars. The constraints enable the use of a real ...

    A methodology for the automation of building intelligent process control systems 

    Pascual Pañach, Josep (Date of defense: 2023-11-10)

    (English) One of the major problems to design and implement control and supervision systems for real-world processes lies in the need to stablish an ad-hoc solution for each process, i.e., environmental systems in this ...

    A multi-agent approach to qualitative navigation in robotics 

    Busquets, Dídac (Date of defense: 2003-07-28)

    La navegació en entorns desconeguts no estructurats és encara un problema obert en el camp de la robòtica. En aquesta tesi presentem una aproximació per a la navegació de robots basada en la combinació de navegació basada ...

    A novel computer Scrabble engine based on probability that performs at championship leve 

    González Romero, Alejandro (Date of defense: 2022-03-07)

    The thesis starts by giving an introduction to the game of Scrabble, then mentions state-of-the-art computer Scrabble programs and presents some characteristics of our developed Scrabble engine Heuri. Some brief notions ...

    Acquiring information extraction patterns from unannotated corpora 

    Català Roig, Neus (Date of defense: 2003-07-14)

    Information Extraction (IE) can be defined as the task of automatically extracting preespecified kind of information from a text document. The extracted information is encoded in the required format and then can be used, ...

    Agent-based management of clinical guidelines 

    Isern Alarcón, David (Date of defense: 2009-02-05)

    Les guies de pràctica clínica (GPC) contenen un conjunt d'accions i dades que ajuden a un metge a prendre decisions sobre el diagnòstic, tractament o qualsevol altre procediment a un pacient i sobre una determinada malaltia. ...

    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 ...

    Assessing biases through mosaic attributions 

    Arias Duart, Anna (Date of defense: 2023-12-11)

    (English) Machine learning and, more specifically, deep learning applications have grown in number in recent years. These intelligent systems have shown remarkable performance across various domains, including sensitive ...

    Bringing social reality to multiagent and service architectures : practical reductions for monitoring of deontic-logic and constitutive norms 

    Álvarez Napagao, Sergio (Date of defense: 2016-02-08)

    As distributed systems grow in complexity, the interactions among individuals (agents, services) of such systems become increasingly more complex and therefore more difficult to constrain and monitor. We propose to view ...

    Causal discovery and prediction: methods and algorithms 

    Blondel, Gilles (Date of defense: 2023-06-07)

    (English) This thesis focuses on the discovery of causal relations and on the prediction of causal effects. Regarding causal discovery, this thesis introduces a novel and generic method to learn causal graphs by performing ...

    CLUSDM: a multiple criteria decision making method for heterogeneous data sets 

    Valls, Aïda (Date of defense: 2002-12-13)

    Aquesta tesi presenta una nova metodologia per resoldre problemes de presa de decisions. Hem<br/>estudiat els casos en què cal considerar més d'un criteri. Aquests tipus de mètodes de decisió es<br/>coneixen com MCDM ...

    A computational intelligence analysis of G proteincoupled receptor sequinces for pharmacoproteomic applications 

    Cárdenas Domínguez, Martha Ivón (Date of defense: 2017-09-18)

    Arguably, drug research has contributed more to the progress of medicine during the past decades than any other scientific factor. One of the main areas of drug research is related to the analysis of proteins. The world ...

    DA&AI supporting tools for gas turbine’s efficiency improvement: maintenance, operation modes and performance enhancement 

    Castro Cros, Martí de (Date of defense: 2023-12-18)

    (English) Digitalization has revolutionized many industries, including the power generation sector. The availability of a vast amount of data from various systems has transformed decision-making processes in Industry. ...

    Deep learning architectures applied to wind time series multi-step forecasting 

    Manero Font, Jaume (Date of defense: 2020-07-14)

    Forecasting is a critical task for the integration of wind-generated energy into electricity grids. Numerical weather models applied to wind prediction, work with grid sizes too large to reproduce all the local features ...

    Digui: a flexibe dialogue system for guiding the user interaction to guiding the user interaction to acces web services 

    González Bermúdez, Meritxell (Date of defense: 2010-10-22)

    Current dialogue systems can handle friendly and collaborative communication that supports diverse types of interactions, such as menus in which the user is asked to choose an option, form filling in which the user is ...

    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 ...