Saeed VARASTEH YAZDI
Professeur Assistant
Thèmes de recherche
1. Classification/prévision des séries temporelles
2. Apprentissage profond pour l'analyse de données temporelles
3. Intelligence artificielle explicable
4. Interprétabilité de l'apprentissage en profondeur
5. Intelligence artificielle pour l'analyse de données médicales et biologiques
6. Analyse de séries temporelles dans le marketing
7. Analyse des données énergétiques
8. Analyse du comportement des clients
9. Analyse des données des médias sociaux
Prix et récompenses
Publications
Tran, Thi Phuong Thao, Douzal-Chouakria, Ahlame, Varasteh Yazdi, Saeed, Honeine, Paul, Gallinari, Patrick. 2020. Interpretable time series kernel analytics by pre-image estimation. Artificial Intelligence, 286 : 20 p.
Yuan, Jidong, Douzal-Chouakria, Ahlame, Varasteh Yazdi, Saeed, Wang, Zhihai. 2019. A large margin time series nearest neighbour classification under locally weighted time warps. Knowledge and Information Systems, 59 (1) : 117-135 p.
Varasteh Yazdi, Saeed, Douzal-Chouakria, Ahlame. 2018. Time warp invariant ksvd: Sparse coding and dictionary learning for time series under time warp. Pattern Recognition Letters, 112 : 8 p.
Do, Cao-Tri, Douzal-Chouakria, Ahlame, Marié, Sylvain, Rombaut, Michele, Varasteh Yazdi, Saeed. 2017. Multi-modal and multi-scale temporal metric learning for a robust time series nearest neighbors classification. Information Sciences, 418-419 : 272-285 p.
Articles académiques
Communications & séminaires
- March 2012 : Nvivo: Qualitative analysis on the data Ferdowsi University, Mashhad, Iran. One-day workshop on how to use Nvivo to extract and analysis our data at Faculty of Letters and Humanities, Ferdowsi University, Mashhad.
- September 2012 – January 2013 : Lecturer at Webitschool, Mashhad, Iran. I created and held a ten day course in web programming with ASP.Net at Webitschool, Mashhad. Several groups of students were participated in my classes during four months.
Enseignement
TBA