Giancarlo Fortino is Full Professor of Computer Engineering at the Department of Informatics, Modeling, Electronics and Systems (DIMES) of the University of Calabria (Unical), Rende (CS), Italy....
In this course, we will discuss the problem of learning from data streams generated by evolving nonstationary processes. It will overview the advances of techniques, methods, and tools that are ...
This course delves into the design, analysis, and applications of integrated microwave passive circuits, with a particular focus on slow wave transmission lines. It provides a comprehensive unde...
Through the pervasive use of computers, smartphones and other digital objects, huge amounts of digital data are generated and collected. This data, commonly referred as Big Data, represents a ch...
A multilayer network is a network (or graph) wherenodes can be organised into sets, called layers, and the same node can belong to one or more of the layers. This allows us to model a wide range...
The topic of this course will be the presentation of two advanced Deep Learning models: Graph Neural Networks (GNNs) and Deep Reinforcement Learning (DRL).
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In this short course the fundamental principles, constructions and main theoretical results of the statistical theory of experimental design will be formulated. Different application areas, rece...
The course will introduce the basic elements of quantum information and quantum computation.
Starting from the physical fundaments (principle of superposition, unitary evolution, principle of me...
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...
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 ...
