Acoustic event detection and localization using distributed microphone arrays 

    Chakraborty, Rupayan (Date of defense: 2013-12-18)

    Automatic acoustic scene analysis is a complex task that involves several functionalities: detection (time), localization (space), separation, recognition, etc. This thesis focuses on both acoustic event detection (AED) ...

    Advanced pixel selection and optimization algorithms for Persistent Scatterer Interferometry (PSI) 

    Zhao, Feng, 1992- (Date of defense: 2019-07-26)

    Ground deformation measurements can provide valuable information for minimization of associated loss and damage caused by natural and environmental hazards. As a kind of remote sensing technique, Persistent Scatterer ...

    Artificial intelligence, LiDAR and co-operative remote sensing for atmospheric observation and off-shore wind energy 

    Salcedo Bosch, Andreu (Date of defense: 2023-06-30)

    (English) Remote sensing of the atmosphere is widely used by the wind energy industry to both assess future wind farms deployment sites as well as to improve their operation. With the rising interest in offshore wind energy, ...

    Computer vision beyond the visible : image understanding through language 

    Salvador, Amaia (Date of defense: 2019-06-27)

    In the past decade, deep neural networks have revolutionized computer vision. High performing deep neural architectures trained for visual recognition tasks have pushed the field towards methods relying on learned image ...

    Data and methods for a visual understanding of sign languages 

    Cardoso Duarte, Amanda (Date of defense: 2022-06-27)

    Signed languages are complete and natural languages used as the first or preferred mode of communication by millions of people worldwide. However, they, unfortunately, continue to be marginalized languages. Designing, ...

    Efficient, end-to-end and self-supervised methods for speech processing and generation 

    Pascual De La Puente, Santiago (Date of defense: 2020-01-31)

    Deep learning has affected the speech processing and generation fields in many directions. First, end-to-end architectures allow the direct injection and synthesis of waveform samples. Secondly, the exploration of efficient ...

    Energy-aware service provisioning in P2P-assisted cloud ecosystems 

    Sharifi, Leila (Date of defense: 2016-11-23)

    Energy has been emerged as a first-class computing resource in modern systems. The trend has primarily led to the strong focus on reducing the energy consumption of data centers, coupled with the growing awareness of the ...

    Energy-driven techniques for massive machine-type communications 

    Liesegang Maria, Sergi (Date of defense: 2022-11-07)

    In the last few years, a lot of effort has been put into the development of the fifth generation of cellular networks (5G). Given the vast heterogeneity of devices coexisting in these networks, new approaches have been ...

    Energy-efficient wireless communication schemes and real-time middleware for machine-to-machine networks 

    Predojev, Tatiana (Date of defense: 2014-10-06)

    Esta tesis estudia sistemas Machine-to-Machine (M2M) en los que se ejecutan tareas de manera autónoma sin, o con mínima intervención humana. Los sistemas M2M están formados por dispositivos desplegados en un entorno que ...

    Gender bias in natural language processing 

    Basta, Christine Raouf Saad (Date of defense: 2022-10-14)

    (English) Gender bias is a dangerous form of social bias impacting an essential group of people. The effect of gender bias is propagated to our data, causing the accuracy of the predictions in models to be different depending ...

    GMPLS-based provisioning of ethernet connections over WSON with quality of service 

    Bukva, Anica (Date of defense: 2012-12-10)

    The rapid growth of the data traffic, caused by the ever-growing number of Internet users and the services requiring huge bandwidth (e.g., videoconferences, IPTV, etc.) show that the existing transport network infrastructure ...

    Graph convolutional neural networks for 3D data analysis 

    Mosella Montoro, Albert (Date of defense: 2023-02-22)

    (English) Deep Learning allows the extraction of complex features directly from raw input data, eliminating the need for hand-crafted features from the classical Machine Learning pipeline. This new paradigm brought a boost ...

    Hierarchical information representation and efficient classification of gene expression microarray data 

    Bosio, Mattia (Date of defense: 2014-06-27)

    In the field of computational biology, microarryas are used to measure the activity of thousands of genes at once and create a global picture of cellular function. Microarrays allow scientists to analyze expression of many ...

    Human body analysis using depth data 

    Suau Cuadros, Xavier (Date of defense: 2013-12-04)

    Human body analysis is one of the broadest areas within the computer vision field. Researchers have put a strong effort in the human body analysis area, specially over the last decade, due to the technological improvements ...

    Hyperspectral image representation and processing with binary partition trees 

    Valero Valbuena, Silvia (Date of defense: 2012-12-09)

    The optimal exploitation of the information provided by hyperspectral images requires the development of advanced image processing tools. Therefore, under the title Hyperspectral image representation and Processing with ...

    Image segmentation evaluation and its application to object detection 

    Pont Tuset, Jordi (Date of defense: 2014-02-19)

    The first parts of this Thesis are focused on the study of the supervised evaluation of image segmentation algorithms. Supervised in the sense that the segmentation results are compared to a human-made annotation, known ...

    Improving statistical machine translation through adaptation and learning 

    Henriquez Q., Carlos A. (Date of defense: 2014-03-07)

    With the arrival of free on-line machine translation (MT) systems, came the possibility to improve automatic translations with the help of daily users. One of the methods to achieve such improvements is to ask to users ...

    Injection of linguistic knowledge into neural text generation models 

    Casas Manzanares, Noé (Date of defense: 2020-12-14)

    Language is an organic construct. It emanates from the need for communication and changes through time, influenced by multiple factors. The resulting language structures are a mix of regular syntactic and morphological ...

    Introducing linguistic knowledge into statistical machine translation. 

    Gispert Ramis, Adrià (Date of defense: 2007-01-26)

    Aquesta tesi està dedicada a l'estudi de la utilització de informació morfosintàctica en el marc dels sistemes de traducció estocàstica, amb l'objectiu de millorar-ne la qualitat a través de la incorporació de informació ...

    Knowledge graph population from news streams 

    Fernández Cañellas, Dèlia (Date of defense: 2023-10-09)

    (English) Media producers publish large amounts of multimedia content online - both text, audio, image and video. As the online media market grows, the management and delivery of contents becomes a challenge. Semantic ...