Departament de Ciències de la Computació: Envíos recientes
Mostrando ítems 21-40 de 88
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 ...
Bridging the gap between textual and formal business process representations
In the era of digital transformation, an increasing number of organizations are start ing to think in terms of business processes. Processes are at the very heart of each business, and must be understood and carried out ...
Language: universals, principles and origins
Here, old and new linguistic universals, i.e. properties obeyed by all languages on Earth are investigated. Basic principles of language predicting linguistic universals are also investigated. More precisely, two principles ...
Network creation games: structure vs anarchy
In an attempt to understand how Internet-like network and social networks behave, different models have been proposed and studied throughout history to capture their most essential aspects and properties. Network Creation ...
Algorithms for the reconstruction, analysis, repairing and enhancement of 3D urban models from multiple data sources
Over the last few years, there has been a notorious growth in the field of digitization of 3D buildings and urban environments. The substantial improvement of both scanning hardware and reconstruction algorithms has led ...
Toward human-like pathfinding with hierarchical approaches and the GPS of the brain theory
Pathfinding for autonomous agents and robots has been traditionally driven by finding optimal paths. Where typically optimality means finding the shortest path between two points in a given environment. However, optimality ...
Enhancing scene text recognition with visual context information
This thesis addresses the problem of improving text spotting systems, which aim to detect and recognize text in unrestricted images (e.g. a street sign, an advertisement, a bus destination, etc.). The goal is to improve ...
An adaptive, fault-tolerant system for road network traffic prediction using machine learning
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 ...
Data analysis through graph decomposition
This work is developed within the field of data mining and data visualization. Under the premise that many of the algorithms give as result huge amounts of data impossible to handle for the users, we work with the ...
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 ...
Algorithmic techniques for physical design : macro placement and under-the-cell routing
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 ...
Analysis of partial match queries in multidimensional search trees
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
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 ...
High-precision computation of uniform asymptotic expansions for special functions
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 ...
Towards adaptative monitoring for self-adaptative systems
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, ...
Synthesis of variability-tolerant circuits with adaptive clocking
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, ...
Logic decomposition and adaptive clocking for the optimization of digital circuits
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 ...
Learning latent variable models : efficient algorithms and applications
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 ...
Light methods for conformance checking of business processes
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 ...
