Àrea de contingut
Universitat de Barcelona
Departament de Matemàtiques i Informàtica
La Universitat de Barcelona és la universitat pública principal de Catalunya, amb el nombre més gran d’estudiants i l’oferta formativa més àmplia i completa. A més, és el principal centre de recerca universitari de l’Estat i un dels més importants d’Europa, tant per nombre de programes de recerca com per l’excel·lència assolida en aquest terreny.Estretament vinculada a la història de Barcelona i de Catalunya, la UB combina els valors de la tradició amb el fet de ser una institució innovadora i d’excel·lència en l’àmbit docent, i és una universitat urbana, oberta i cosmopolita com la mateixa ciutat de Barcelona.Us convidem a conèixer la Universitat de Barcelona!
Si sou doctor o doctora de la Universitat de Barcelona i voleu publicar la vostra tesi a TDX, contacteu amb tdx@ub.edu. Per a més informació consulteu les preguntes més freqüents
Envíos recientes
Llista ítems afegits recenment
Deep Learning Approaches for Human Activity Understanding
[eng] Understanding human activities is crucial for developing practical applications that benefit society. Temporal action localization (TAL) in untrimmed videos is one of the most challenging tasks in this field. While ...
Bridging Natural Language and Hierarchical Multivariate Data Visualisation to Support Data Analysis
[eng] Tracking and analysing the vast amounts of data generated from social networks and digital platforms presents important challenges, not only due to the overwhelming volume but also the complex relationships embedded ...
Large and iterated finite group actions on aspherical manifolds
[eng] Finite transformation group theory investigates the finite symmetries of topological objects, such as manifolds or CW-complexes. In this thesis, we focus on actions on closed topological manifolds and adopt the ...
Periodic boundary points for transcendental Fatou components
[eng] This thesis is framed in the field of Complex Dynamics, which studies discrete dynamical systems generated by the iteration of holomorphic functions. More precisely, given a transcendent, integer or meromorphic ...
Flow map parameterization methods for invariant tori in Hamiltonian systems
[eng] Given a dynamic system, it is important to identify the invariant objects that organize long-term behavior, as well as their dynamic connections. Both in theory and in applications. The objective of this thesis is ...
Boosting the Artificial Intelligence solutions training phase by means of process simulation methods
[eng] Despite the emergence of Industry 4.0 and the rise of a data-driven manufacturing paradigm, the acquisition of valuable data in a cost-efficient and sustainable manner for manufacturing processes remains a challenge ...
Approximate option pricing for jump-diffusion stochastic volatility models
[eng] The following is a summary of the above-mentioned thesis. The thesis covers alternative stochastic models, risk management, and option price decomposition. 1.1 Alternative Stochastic Models Several alternative ...
End-to-End AI Solutions for Capsule Endoscopy: Enhancing Efficiency and Accuracy in Gastrointestinal Diagnostics
[eng] Artificial Intelligence (AI) models are fundamentally transforming the way clinicians carry out their daily tasks. By streamlining various processes, AI offers a more robust and consistent method for reviewing ...
Characterization and Mitigation of Algorithmic Bias in Recommender Systems
[eng] Recommender Systems are critical in helping users navigate large amounts of information by providing personalized suggestions. However, these systems can exhibit biases, especially when data imbalances exist, leading ...
Relational methods in algebraic logic
[eng] This thesis is concerned with three instances of relational methods in algebraic logic. First, determining which partially ordered sets are isomorphic to the spectrum of a Heyting algebra. This is an open question ...
Congested Optimal Transport in the Heisenberg Group
[eng] In this thesis we adapted the problem of continuous congested optimal transport to the Heisenberg group, equipped with a sub-Riemannian metric: we restricted the set of admissible paths to the horizontal curves. We ...
Carotid Artery Ultrasound Image-Based Cardiovascular Risk Prediction using Deep Learning
[eng] Cardiovascular Diseases (CVDs), the leading cause of death in developed countries, often involve atherosclerosis, which is a chronic inflammatory thickening of the inner artery layer. Monitoring atherosclerotic plaque ...
Geometric realizations using regular subdivisions: Construction of many polytopes, sweep polytopes, s-permutahedra
[eng] This thesis concerns three problems of geometric realizations of combinatorial structures via polytopes and polyhedral subdivisions. A polytope is the convex hull of a finite set of points in a Euclidean space Rd. ...
Gaze Estimation with Spatiotemporal and Multimodal Deep Learning
[eng] lt is often said that the eyes are the window to the soul. The eyes and their behavior have sparked interest for centuries, and have been widely studied due to their link with multiple developmental, neurological, ...
Application of Radiomics-based Machine Learning models on complex cardíac diseases
[eng] This doctoral thesis investigates the combination of radiomics and machine learning (ML) within the field of cardiology, emphasizing early detection and prognosis of complex cardiovascular diseases (CVDs). Radiomics ...
Regularity theory for obstacle problems and boundary Harnack inequalities
[eng] This thesis is dedicated to the study of elliptic and parabolic Partial Differential Equations, both local and nonlocal. More specifically, this work concerns the regularity properties of some obstacle problems. Obstacle ...
Automatic Cardiac Segmentation of Complex Morphologies, Modalities and Tissues
[eng] Cardiovascular diseases (CVDs) continue to take a significant toll on global health, highlighting the need for more accurate and efficient diagnostic tools. This thesis, titled "Automatic Cardiac Segmentation of ...
Mastering the Triad of Data, Models and Tasks in Deep Learning for Image Understanding
[eng] Deep learning's rapid growth brings vast application potential across diverse domains. Achieving optimal performance hinges on a critical interplay between three key elements: powerful model architectures, vast amounts ...
Suitable logics: provability, temporal laws, and formalization
[eng] This thesis explores various aspects of logic, encompassing provability logic, logical analysis of law, and formalization of both mathematics and software. We are particularly interested in the aspect of suitability, ...
Advancing 3D Point Cloud Understanding in Real-World Applications
[eng] In recent years, rapid advancements in 3D sensing technologies, such as LiDAR, have revolutionized various fields, spanning robotics, augmented reality, earth vision, and industrial manufacturing. Point clouds, ...
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