For best experience please turn on javascript and use a modern browser!
Bekijk de site in het Nederlands

Sultan Imangaliyev uses a set of data analysis techniques, united under the umbrella term of machine learning, to gain detailed insights in the processes involved in maintaining a healthy oral ecosystem and expand our our fundamental knowledge of what oral health is. Identifying the biological interactions that underlie maintenance of oral health requires a data analysis strategy that integrates multiple heterogeneous datasets using the best possible computational methodology.

Event details of Data analysis for oral health purposes
Date 14 October 2016
Time 11:00 -12:00
Location Aula - Oude Lutherse kerk
Room Location

S. Imangaliyev: Multi-View Learning and Deep Learning for Heterogeneous Biological Data to Maintain Oral Health.

Supervisors

Prof. B.J.F. Keijser

Prof. W. Crielaard

Co-supervisor

Dr E. Levin-Tsivtsivadze

Aula - Oude Lutherse kerk

Room Location

Singel 411
1012 XM Amsterdam

Entrance

This event is open to the public.