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