Programme
| Heures |
événement |
|
|
09:15 - 09:45
|
Accueil |
|
|
09:45 - 10:00
|
V. Maume-Deschamps - AMIES presentation. |
|
|
10:00 - 11:00
|
S. Melaine - Introduction to deep learning and data mining. |
|
|
11:00 - 12:00
|
A. Tsygvintsev - Nonlinear dynamical systems, chaos theory and artificial neural networks: obstacles and opportunities |
|
|
12:00 - 13:30
|
Déjeuner |
|
|
13:30 - 14:30
|
D. Menéndez Hurtado - Machine learning aids in the prediction of protein structures. |
|
|
14:30 - 15:30
|
L. Franco - Applying Deep Learning to Biomedical Problems. |
|
|
15:30 - 16:00
|
Pause |
|
|
16:00 - 17:00
|
S. Marino - Compressive Big Data Analytics - CBDA. |
|
|
17:00 - 18:00
|
W. Ritchie - AI, Genomics and Medicine. |
|
|
18:00 - 18:30
|
Table ronde |
|
| Heures |
événement |
|
|
09:00 - 10:00
|
M. Prodel - Advanced data analyses in cancerology using large databases: examples using the French SNDS. |
|
|
10:00 - 11:00
|
L. Thomas - Artificial intelligence and skin cancer diagnosis: achievements and unsolved questions. |
|
|
11:00 - 11:30
|
Pause |
|
|
11:30 - 12:30
|
E. Guichard - AI: dreams and philosophical opportunities |
|
|
