Ph.D. in Information Technology: Thesis Defenses

Sommario
The PhD Program in Information Technology is pleased to announce the following defenses for our Doctoral students:
February 16th, 2022, DEIB - BIO1 Room (Bld. 21) at 2.30 pm
on line by Zoom
Luca BENEDETTO– XXXIII Cycle
"An assessment of recent techniques for question difficulty estimation from text"
Advisor: Prof. Paolo Cremonesi
February 16th, 2022, DEIB - BIO1 Room (Bld. 21) at 2.30 pm
on line by Zoom
Luca BENEDETTO– XXXIII Cycle
"An assessment of recent techniques for question difficulty estimation from text"
Advisor: Prof. Paolo Cremonesi
Giuseppe CANONACO – XXXIV Cycle
"Learning in non-stationary environments: from a specific application to more general algorithms"
Advisor: Prof. Manuel Roveri
Simone DISABATO – XXXIV Cycle
"Deep and Wide Tiny Machine Learning"
Advisor: Prof. Manuel Roveri
PhD Committee:
Prof. Marco Santambrogio, Politecnico di Milano
Prof. Frank Hopfgartner, The University of Sheffield
Prof. Man Lin, St. Francis Xavier University, Canada
Prof. Zhen Ni, Florida Atlantic University
The registration is available and required only for the presence at the following FORM.
Please, note: Green Pass is needed to attend the event in presence.