This seminar aims at introducing theoretical, technical and practical aspects in the design and development of machine learning systems for the analysis of signals, measurements and, more generally, of big data, based on Computational Intelligence techniques such as Bayesian learning, neural networks, fuzzy logic, evolutionary computation, etc. The focus will be on engineering applications for the solution of both supervised and unsupervised learning problems, in particular concerning optimization, approximation, regression, prediction, interpolation, filtering, clustering and classification. Main topics of the seminar will be: introduction to machine learning and data driven modeling problems (inference, regularization, overfitting, structural optimization); data analysis and conditioning (feature extraction, denoising, detrending, normalization); supervised and unsupervised learning problems; fundamentals of clustering algorithms; fundamental of classification algorithms; fundamental of regression models.
18/02/2019
Il seminario sarà tenuto dal Prof. Massimo Panella, alle ore 15:00 e si terrà nell'auletta didattica della palazzina E del DIMA
Short bio:
Massimo Panella (http://massimopanella.site.uniroma1.it) is currently Associate Professor at the Department of Information Engineering, Electronics and Telecommunications (DIET) of the University of Rome "La Sapienza", where he holds courses on Electrical Engineering, Circuits and Algorithms for Signal Processing, and Machine Learning. Since 2017, he is qualified to the role of Full Professor in Electrical Engineering and, since 2018, he is qualified to the role of Full Professor in Engineering of Computer Science. The research activities of M. Panella pertain to circuit theory, computational intelligence and quantum computing for modelling, optimization and control of complex systems, even in distributed environments with multiple data sources as for sensor networks, pervasive systems, and IoT applications. M. Panella is an IEEE Senior Member, he has published more than 100 papers during his research activity. He is currently Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, Associate Editor of Journal of Computer and System Sciences (Elsevier), Subject Editor of Electronics Letters (IET) and, formerly, Associate Editor of IEEE Transactions on Fuzzy Systems. The research topics of M. Panella have laid sound foundations for the constitution of four academic startups, with leadership roles for R&D in the field of ICT, multimedia, sensor networks, energy efficiency, Intelligent Transportation Systems, safety, security, e-learning, telemedicine, and e-health.