XXXVI Edition

PhD Course: Argumentation in Artificial Intelligence

An important question that has deserved the attention of the AI field over the last twenty years and which leads to the development of a wide research area called formal argumentation has been t...

PhD Course: Super-Resolution Methods for Biomedical Microwave Data Analysis

The course is devoted to illustrate a set of super-resolution signal processing techniques, able to estimate relevant biomedical parameters from a limited set of data acquired with microwave sen...

PhD Course: Binary Analysis with Applications to Machine and Deep Learning

Extracting usable information from executable files is a crucial task in nowadays computing, since it is the basis for a plethora of analyses performed in various fields of computer science and ...

PhD Course: Biomedical Systems for Remote Patient Monitoring

Biomedical systems based on radar adoption represent an emerging technology in telemedicine and Internet of Things (IoT). They can remotely measure heartbeat and respiration, speed, and position...

Seminar title: Security of Cyber-Physical Systems_ Prof. Walter Lucia

A cyber-physical system (CPS) is a system of collaborating computational elements controlling physical entities via one or more communication channels. The advent of CPSs is considered a revolut...

Seminar title: “UAV swarm solutions and applications”_Prof. Carlos Tavares Calafate_Universidad Politécnica de Valencia

Communications between UAVs enable all sorts of collaborative tasks, including the creation of UAV swarms, whereby UAVs move according to a certain flight formation that is optimally defined for...

Distinguished Lectures_Prof. Enrique Herrera-Viedma_University of Granada

Distinguished Lecture 1: “About Trustworthy Artificial Intelligence” ...

PhD Course: Advanced Deep Learning Models

Deep Learning (DL) is used in different fields of engineering and is proving exceptionally useful for solving problems of extraordinary complexity that until a few years ago could only be addres...

PhD Course: Deep Learning and Statistical Learning

The course is aimed at reviewing a set of statistical and feature learning methods and tools which can be exploited in data science.We will start by studying probabilistic modeling, the problems...