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Data Reduction Techniques in Classification Processes
The learning process consists of different steps: building a Training Set (TS), training the system, testing its behaviour and finally classifying unknown objects. When using a distance based rule as a classifier, i.e. ...
Data science in HIV : statistical approaches for therapeutic HIV vaccine data
The present dissertation contributes to Data Science in the Human lmmunodeficiency Virus (HIV) field, addressing specific issues related to the modelling of data coming from three different clinical trials based on ...
Data selection and spectral-spatial characterisation for hyperspectral image segmentation. Applications to remote sensing
El análisis de imágenes ha impulsado muchos descubrimientos en la ciencia actual. Esta tesis se centra en el análisis de imágenes remotas para inspección aérea, exactamente en el problema de segmentación y clasificación ...
Data-driven analysis of interactions between pairs and ensembles of coupled dynamics
The characterization of interactions between coupled dynamics from their signals is important for the understanding of real-world systems. The particular aspect of the detection of directional interactions has a central ...
Data-driven approaches for event detection, fault location, resilience assessment, and enhancements in power systems
This thesis presents the study and development of distinct data-driven techniques to support event detection, fault location, and resilience assessment towards enhancements in power systems. It is divided in three main ...
A Data-driven bayesian approach to automatic rhythm analysis of indian art music
Las colecciones de música son cada vez mayores y más variadas, haciendo necesarias nuevas fórmulas para su organización automática. El análisis automático del ritmo tiene como fin la extracción de información rítmica de ...
Data-Driven Exploration of Benthic Environments with Autonomous Underwater Vehicles featuring Semantic Perception and Adaptive Navigation Intelligence
[eng] Most of the land terrain on Earth is being constantly mapped using sub-meter resolution spaceborne images. However, about eighty percent of the oceansŠ seaĆoor remains unexplored and most of the benthic habitat and ...
Data-driven information-theoretic tools under a second-order statistics perspective
(English) A great deal is known about second-order statistics. For many years, most of the signal processing problems have been addressed under the perspective of the first and second-order moments of the data, known to ...
Data-driven methodologies for evaluation and recommendation of energy efficiency measures in buildings. Applications in a big data environment
In order to reach the goal set in the Paris agreement of limiting the rise in global average temperature well below 2 ºC compared to pre-industrial levels, massive efforts to reduce global greenhouse gas emissions are ...
Data-driven methods to characterize heterogeneity in Alzheimer’s disease using cross-sectional and longitudinal data
Alzheimer's disease (AD), the most common form of dementia, is an incurable neurodegenerative disease that affects millions of elderly people worldwide. Detecting the disease in its early stages is the key for a more ...
Data-driven models for building energy efficiency monitoring
Nowadays, energy is absolutely necessary all over the world. Taking into account the advantages that it presents in transport and the needs of homes and industry, energy is transformed into electricity. Bearing in mind ...
Data-driven models for type 1 diabetes using generative deep learning
Modeling biological systems has always been challenging given the complexity of the processes involved in them. Experts have been employing physiological models to approximate the dynamics of biological systems; however, ...
Data-driven musical version identification: accuracy, scalability and bias perspectives
This dissertation aims at developing audio-based musical version identification (VI) systems for industry-scale corpora. To employ such systems in industrial use cases, they must demonstrate high performance on large-scale ...
Data-driven neural mass modelling
The brain is a complex organ whose activity spans multiple scales, both spatial and temporal. The computational unit of the brain is thought to be the neurone. At the microscopic level, neurones communicate via action ...
Data-driven pitch content description of choral singing recordings
Ensemble singing is a well-established practice across cultures, found in a great diversity of forms, languages, and levels. However, it has not been widely studied in the field of Music Information Retrieval (MIR), ...
Data-driven soft-sensors for monitoring and fault diagnosis in wastewater treatment plants
Les possibles desviacions dels valors dels paràmetres específics dels efluents de les plantes de tractament d'aigües residuals (EDAR) a causa de les possibles fluctuacions d'aquests valors respecte els de disseny, poden ...
dataClay : next generation object storage
Existing solutions for data sharing are not fully compatible with multi-provider contexts. Traditionally, providers offer their datasets through hermetic Data Services with restricted APIs. Therefore, consumers are compelled ...
Dataset proximity mining for supporting schema matching and data lake governance
With the huge growth in the amount of data generated by information systems, it is common practice today to store datasets in their raw formats (i.e., without any data preprocessing or transformations) in large-scale data ...
Datation par ESR de quartz optiquement blanchis (ESR-OB) de la région de Atapuerca (Burgos, Espagne).application au site préhistorique de Gran Dolina (contexte karstique) et aux systèmes fluviatiles quaternaires de l'Arlanzón et l'Arlanza
La Sierra de Atapuerca, situada al NE de la cuenca del Duero, es un pequeño conjunto montañoso caracterizado por un desarrollado sistema kárstico en cuyas cavidades ha quedado registrada la actividad humana, desde el ...
Data–driven Bayesian networks modelling to support decision–making : application to the context of Sustainable Development Goal 6 on water and sanitation
We live in a complexand interconnected world which permeates ditterent scales. sectors or decision problems. This fact is acknowledged by the United Nations 2030 Agenda for Sustainable Development, which underscores current ...
