Type:
- Workshop
Series:
- 2019/2020
Date:
Location:
Attachments:
Due to the Covid-19 emergency, the event will be online, you can join us at the following link:
Data Science Ph.D. Day 2020
Program
09:30 - 10:00 — Privacy Protected Explanation
Francesca Naretto (35th Cycle)
10:00 -10:30 — Understanding and Exploiting the Latent Space of Machine Learning Models
Francesco Bodria (35th Cycle)
10:30 - 11:00 — Multimodal approaches to explainable AI
Giovani Puccetti (35th Cycle)
11:00 - 11:30 — Break
11:30 - 12:00 — Continual Learning with Recurrent Neural Networks
Andrea Cossu (35th Cycle)
12:00 - 12:30 — Deep Learning: A principled approach
Dario Balboni (35th Cycle)
12:30 - 13:00 — Data-driven methods for data center operations support
Giacomo Lanciano (35th Cycle)
13:00 - 14:30 — Lunch break
14:30 - 15:00 — Structural and dynamical stability of real and reconstructed financial networks
Valentina Macchiati (35th Cycle)
15:00 - 15:30 — Recovering from a Tsunami: after one wave the danger is not over. Using big data to assess the direct and indirect impact of the COVID-19 epidemics on the Italian citizens’ health and health system.
Sara Mazzilli (35th Cycle)
15:30 - 16:00 — The effect of urbanization on the Ecosystem of Tuscan cities
Andrea Gini (35th Cycle)
16:00 - 16:30 — Break
16:30 -17:00 — Authorship Verification for Cultural Heritage
Silvia Corbara (35th Cycle)
17:00 - 17:30 — Explainable Machine learning for Feature Selection and Model Comparison over Multiple Datasets
Anthony Onoja (35th Cycle)
