Thesis linked to the implementation of the María de Maeztu Strategic Research Program.
Open access to PhD thesis carried out at the Department can be found at TDX
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[PhD thesis] Machine learning and deep neural networks approach to modelling musical gestures
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[PhD thesis] Nonlinear signal analysis of micro and macro electroencephalographic recordings from epilepsy patients
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[PhD thesis] Automatic generation of descriptive related work reports
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[PhD thesis] Towards spatial reuse in future wireless local area networks: a sequential learning approach
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[PhD thesis] Map-less inventory and location for an RFID-based robot
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[PhD thesis] Machine learning to support exploring and exploiting real-world clinical longitudinal data
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[PhD thesis] Computational anatomy as a driver of understanding structural and functional cardiac remodeling
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[PhD thesis] Towards the improvement of decision tree learning: a perspective on search and evaluation
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[PhD thesis] Characterizing online participation in civic technologies
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[PhD thesis] Deep Neural Networks for Music and Audio Tagging
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[MSc thesis] A study on the development of maker activities with primary education teachers and students: from self-concept change to gender factors
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[BSc thesis] Mining Zenodo: Data extraction and indexing of a research repository
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[PhD thesis] Incorporating Prosody into Neural Speech Processing Pipelines. Applications on automatic speech transcription and spoken language machine translation
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[PhD thesis] Towards virtualized network functions as a service
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[PhD thesis] Source Separation Methods for Orchestral Music: Timbre-Informed and Score-Informed Strategies
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[MSc thesis] Audio Data Augmentation with respect to Musical Instrument Recognition
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[PhD thesis] Knowledge Extraction and Representation Learning for Music Recommendation and Classification
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[MSc thesis] Term extraction and document similarity in an Integrated Learning Design Environment
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[PhD thesis] The Information Structure - Prosody Interface: On the role of hierarchical thematicity in an empirically-grounded model
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[PhD thesis] Effective planning with expressive languages