Where: SINTEF, Forskningsveien 1, Room 4-5
When: May 14-16 (from 10:00 to 12:00)
How to register: email to Andreas Nakkerud, andreana@ifi.uio.no
Monday 14, 10:00 – 12:00
: Introduction to machine learning problems: classification and regression problems
: Example of applications
: Multilayer Perceptron Neural networks and unconstrained optimization
Tuesday 15, 10:00 – 12:00
: Radial Basis Functions Neural Networks
: Some hints on Deep Learning
: Binary classification: Vapnik result and SVM
Wednesday 16, 10:00 – 12:00
: Convex Optimization and SVM training
: Training Algorithms
: Brain Computer Interface: Applications of machine learning algorithms
Short Bio. Veronica Piccialli received her PhD. in Operations Research from the of University Rome "La Sapienza" in 2004. In 2006 she was a postdoc at the Department of Combinatorics and Optimization, University of Waterloo with Prof. Henry Wolkowicz. Since 2008 she is Assistant Professor at University of Rome II (Tor Vergata) and she is currently qualified as Full Professor. Her research interests are nonlinear optimization, with specific attention to machine learning problem, global optimization and game theory. As specific applications of machine learning algorithms she has focused her latest research on the study of EEG signals for Brain Computer Interfaces. She has authored and co-authored about 30 publications on international journals, as Mathematical Programming, IEEE Transaction on Neural Networks and Learning Systems, SIAM Journal on Optimization. She has been visiting researcher at TU University of Dresden, LORIA- University of Lorraine in Nancy and Alpen-Adria Universitat of Klagenfurt. She is currently scientific coordinator of the research contract PAR2017 in collaboration with ENEA on machine learning models for understanding residential electrical consumption. She has been invited speaker at the conference “EWMINLP” in Marseille, 2010, and at Algorithms and Optimization in Action, IASI CNR, in 2011. She has been invited for teaching several PhD course, as for example at the EURO Summer Institute 2010 at the University of Klagenfurt and at the COST/MINO PhD School on Advanced Optimization Methods in 2016. She is currently lecturing the course of Optimization Methods for Big Data at the University of Rome II and next year she will also lecture a new course on Machine Learning.
