Lyamin, Nikita (Date of defense: 2019-01-30)
Intelligent Transport Systems (ITS) are aiming to provide innovative services related to different modes of transport and traffic management, and enable various users to be better informed and make ...
Junyent Barbany, Miquel (Date of defense: 2021-10-15)
Optimal sequential decision making is a fundamental problem to many diverse fields. In recent years, Reinforcement Learning (RL) methods have experienced unprecedented success, largely enabled by the ...
Soto-Iglesias, David (Date of defense: 2016-09-13)
The development of novel technologies is allowing a complete description of the heart structure and function, including geometrical, myocardial tissue viability and electrical activation information. ...
Signorini, Matteo (Date of defense: 2015-12-10)
La Internet de las Cosas está avanzando lentamente debido a la falta de confianza en dispositivos que puedan interactuar de manera autónoma. Además, se requieren nuevos enfoques para mitigar o al menos ...
Martins Dias, Gabriel (Date of defense: 2016-10-28)
Predictions about the evolution of the Internet of Things (IoT) in the next years are optimistic. The number of interconnected devices will continue to grow exponentially, as well as the amount of ...
Eladly, Ahmed Fayed (Date of defense: 2021-04-28)
This thesis was conducted within the framework of the eAXON project that is aimed at developing injectable wireless sub-millimetric single-channel addressable microstimulators based on volume conduction ...
Nikbakht Silab, Rasoul (Date of defense: 2021-03-17)
This thesis studies parametric optimization in cellular and cell-free networks, exploring data-based and expert-based paradigms. Power allocation and power control, which adjust the transmit power to ...
Gulati, Sankalp (Date of defense: 2016-11-17)
Automatically describing contents of recorded music is crucial for interacting with large volumes of audio recordings, and for developing novel tools to facilitate music pedagogy. Melody is a fundamental ...
Barbieri, Francesco (Date of defense: 2018-01-25)
In this dissertation we propose algorithms for the analysis of social media texts, focusing on two particular aspects: irony and emojis. We propose novel automatic systems, based on machine learning ...
Malvestio, Irene (Date of defense: 2019-02-21)
An important problem in neuroscience is the assessment of the connectivity between neurons from their spike trains. One recent approach developed for the detection of directional couplings between ...