Possible research topics in ML: – Keyword spotting. – Spoken language detection
Advanced optimization methods for clustering
K-means is one out of a bunch of widely used clustering techniques. In this thesis, we plan to experiment with global optimization algorithms which use K-means as a local optimization solver Assigned: September 2019, Candidate: Pierluigi Mansueto Expected completion:
PhD Ceremony
Today we had the official PhD ceremony! All of our lab is with Guido Cocchi who received his final PhD diploma. https://youtu.be/C7lcYZwF8r8
A special lesson, today
Today, thanks to an initiative of Marco Sciandrone (thanks Marco, you too are a great professor!), we had a great, great lesson (not a lecture, a lesson). Luisa Stracqualursi, a statistician, came to tell us her recent story. Her story is not
An efficient implementation of the FALKON algorithm for Large Scale kernel methods and an extension to the semi-supervised scenario
This thesis is devoted to the re-implementation of a very large scale kernel ridge regression software tool and to its extension to the semi-supervised case Started: November 2018 Candidate: Enrico Civitelli Graduated: April 2019
Optimization Methods and Models for replenishment with constraints
Managing inventories when the demand is uncertain is a challenging problem involving forecasting, modeling and optimization. This thesis is devoted to the extension of classical models, like the newsvendor, to multiple products, integer order quantities, logical constraints, assortment, and other
Machine learning for tennis
Analytics has found its place in most sports. This thesis is devoted to analyze some publicly available tennis data and try to extract significant information by means of machine learning. (image credits: https://www.ubitennis.com/blog/2015/04/22/tennis-e-statistiche-avanzate-le-cause-di-un-rapporto-difficile/)
A lecture to students of the Niccolò Machiavelli State School
For the second year I took part to the “Pianeta Galileo” initiative by Regione Toscana. Today I gave a lecture on Operations Research, Decison models and Data Science to students of the Scientific curriculum of the Liceo Statale Niccolò Machiavelli –
Sparse Deep Neural Network training
We would like to experiments with optimization methods applied to DNN’s in order to obtain a sparse trained network, i.e. a network with a small number of neurons or connections.
PhD courses of the academic year 2019 just started
Today first lecture on “Derivative-free Optimization“, a course offered to the PhD program in Information Engineering. Teacher, prof. Marco Sciandrone. A huge audience for this course, more than 30 students in the room