Àrea de contingut
Universitat Politècnica de Catalunya
Visualitzant Programa de Doctorat en Intel·ligència Artificial per títol
Ara mostrant els elements 1-20 de 75
A constraint-based hypergraph partitioning approach to coreference resolution
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
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
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
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
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
(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
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
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
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, ...
Advances towards a robust AI-based glioma grading system
(English) Gliomas represent the most common and aggressive form of primary brain tumors in adults, posing significant diagnostic challenges due to their heterogeneous molecular, histological, and radiological characteristics. ...
Agent-based management of clinical guidelines
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
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
(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
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
(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
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
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
(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. ...
Data integration of longitudinal single-cell with multi-omics data to enable precision medicine for complex diseases
(English) Recent developments in high-throughput analysis technologies have transformed biomedical research by generating extensive longitudinal and heterogeneous multi-omics data, including transcriptomics, proteomics, ...
Deep learning architectures applied to wind time series multi-step forecasting
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 ...
