Riera Villanueva, Marc (Date of defense: 2020-10-09)
Deep Neural Networks (DNNs) have achieved tremendous success for cognitive applications, and are especially efficient in classification and decision making problems such as speech recognition or machine ...
Suárez-Varela Macià, José Rafael (Date of defense: 2020-06-26)
Significant breakthroughs in the last decade in the Machine Learning (ML) field have ushered in a new era of Artificial Intelligence (AI). Particularly, recent advances in Deep Learning (DL) have enabled ...
Ciaccia, Francesco (Date of defense: 2020-12-04)
Nowadays massive amounts of data are being moved over the Internet thanks to data-hungry applications, Big Data, and multimedia content. Combined with a reduction in cost and augmented reliability for ...
Sengupta, Souvik (Date of defense: 2020-10-20)
Technology in the twenty-first century is rapidly developing and driving us into a new smart computing world, and emerging lots of new computing architectures. Fog-to-Cloud (F2C) is among one of them, ...
Sembroiz Ausejo, David (Date of defense: 2020-03-06)
During many years, people and governments have been warned about the increasing levels of pollution and greenhouse gases (GHG) emissions that are endangering our lives on this planet. The Information ...
Anglada Sánchez, Martí (Date of defense: 2020-06-09)
The computation capabilities of mobile GPUs have greatly evolved in the last generations, allowing real-time rendering of realistic scenes. However, the desire for processing complex environments clashes ...
Dimić, Vladimir (Date of defense: 2020-11-27)
Following Moore's Law, the number of transistors on chip has been increasing exponentially, which has led to the increasing complexity of modern processors. As a result, the efficient programming of ...
Trilla Rodríguez, David (Date of defense: 2020-12-04)
Critical Real-Time Embedded Systems (CRTES) are the subset of embedded systems with timing constraints whose miss behavior can endanger human lives or expensive equipment. To provide evidence of ...
Ramón-Cortés Vilarrodona, Cristián (Date of defense: 2020-09-21)
Data Science workflows have become a must to progress in many scientific areas such as life, health, and earth sciences. In contrast to traditional HPC workflows, they are more heterogeneous; combining ...
Campos Camúñez, Víctor (Date of defense: 2020-12-22)
Deep learning has revolutionized the field of artificial intelligence in the past decade. Although the development of these techniques spans over several years, the recent advent of deep learning is ...