Browsing by Acedemic Degree "Programa Oficial de Doutoramento en Computación"
Now showing items 1-20 of 33
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A comprehensive approach for the efficient acquisition and processing of hyperspectral images and sequence
(2016)[Abstract] Despite the scientific and technological developments achieved during the last two decades in the hyperspectral field, some methodological, operational and conceptual issues have restricted the progress, ... -
Algorithms for Sleep Medicine
(2019)[Abstract] Sleep disorders a ect a signi cant part of our population causing problems that go from daytime sleepiness to severe, life-threatening conditions. Fortunately, physicians can diagnose them and propose a treatment ... -
An Unsolicited Soliloquy on Dependency Parsing
(2021)[Abstract] This thesis presents work on dependency parsing covering two distinct lines of research. The first aims to develop efficient parsers so that they can be fast enough to parse large amounts of data while still ... -
Application of automated software development techniques in Geographic Information Systems
(2023)[Abstract] Geographic Information Systems (GIS) has been widely adopted within different areas such as infrastructure administration, traffic control or environmental management. Despite each application can be very ... -
Assessment of Mussel Shells for the Development of Different Bio-Based Building Materials
(2020)[Abstract] Assessment of mussel shells for the development of different bio‐based building materials Cultured mussels are produced worldwide, and Spain is one of the top producers, being the shores of Galicia the centre ... -
Automatic Detection and Characterization of Pathological Fluid Regions in Optical Coherence Tomography Images
(2023)[Abstract] Intraretinal fluid accumulation is both the common symptom and culprit of the main causes of blindness in developed countries: Age-related Macular Degeneration and Diabetic Macular Edema. For its diagnosis, ... -
Automatic grading of ocular hyperaemia using image processing techniques
(2017)[Abstract] The human eye is affected by a number of high-prevalence pathologies, such as Dry Eye Syndrome or allergic conjunctivitis. One of the symptoms that these health problems have in common is the occurrence of ... -
Captura, representación, consulta y clasificación semántica de trayectorias
(2022)[Abstract] As a consequence of the competition between different manufacturers, current smartphones improve their features continuously and they currently include many sensors. Mobile Workforce Management (MWM) is an ... -
Compact data structures for large and complex datasets
(2017)[Abstract] In this thesis, we study the problem of processing large and complex collections of data, presenting new data structures and algorithms that allow us to efficiently store and analyze them. We focus on three ... -
Compositional language processing for multilingual sentiment analysis
(2017)[Abstract] This dissertation presents new approaches in the field of sentiment analysis and polarity classification, oriented towards obtaining the sentiment of a phrase, sentence or document from a natural language processing ... -
Compressed data structures for trajectory representation
(2020)[Abstract] The proliferation of GPS devices in smartphones, vehicles and sport wearables in one hand, and geolocation mechanisms (such as smart cards in public transportation) in the other hand, have produced an ... -
Computational learning algorithms for large-scale datasets
(2017)[Resumen]Actualmente nos encontramos sumidos en una avalancha de datos. Este hecho ha modificado fundamentalmente la manera en que se comparte la información y ha puesto de manifiesto la necesidad de desarrollar nuevos ... -
Deep Learning based Novel Anomaly Detection Methods for Diabetic Retinopathy Screening
(2023)[Abstract] Computer-Aided Screening (CAS) systems are getting popularity in disease diagnosis. Modern CAS systems exploit data driven machine learning algorithms including supervised and unsupervised methods. In medical ... -
Deep Learning Techniques for Automated Analysis and Processing of High Resolution Medical Imaging
(2022)[Abstract] Medical imaging plays a prominent role in modern clinical practice for numerous medical specialties. For instance, in ophthalmology, different imaging techniques are commonly used to visualize and study the ... -
Depression Severity Estimation on the Internet: New Models and Resources
(2023)[Abstract] On the one hand, there is extensive evidence from medicine and psycholinguistics fields of changes in language usage from people suffering from mental health problems. On the other hand, social media ... -
Development of efficient De Bruijn graph-based algorithms for genome assembly
(2022)[Abstract] During the last two decades, thanks to the development of new sequencing techniques, the study of the genome has become very popular in order to discover the genetic variation present in both humans and other ... -
Diabetic Macular Edema Characterization by Automatic Analysis of Optical Coherence Tomography
(2019)[Abstract] Diabetic Macular Edema (DME) is one of the most important complications of diabetes and a leading cause of preventable blindness in the developed countries. Among the di erent image modalities, Optical Coherence ... -
Generating Commonsense Explanations with Answer Set Programming
(2024)[Abstract] In this thesis, we explore the notion of commonsense explanation in the context of Artificial Intelligence by extending the formalism of Answer Set Programming (ASP) with formal annotations. To this aim, we ... -
Information Fusion and Ensembles in Machine Learning
(2019)[Abstract] Traditionally, machine learning methods have used a single learning model to solve a particular problem. However, the idea of combining multiple models instead of a single one to solve a problem has its rationale ... -
Information retrieval models for recommender systems
(2019)[Abstract] Information retrieval addresses the information needs of users by delivering relevant pieces of information but requires users to convey their information needs explicitly. In contrast, recommender systems ...