Peyman Rasouli
Stipendiat
-
Centre for Scalable Data Access
English version of this page
E-post
peymanra@ifi.uio.no
Brukernavn
Besøksadresse
Gaustadalleen 23 B
0373 OSLO
Postadresse
Postboks 1080 Blindern
0316 OSLO
Andre tilknytninger
Det matematisk-naturvitenskapelige fakultet
(Student)
Den internasjonale sommerskole
(Student)
I am a PhD Research Fellow in Data Science at the University of Oslo (UiO), advised by Associate Professor Ingrid Chieh Yu (UiO) and Senior Researcher Aida Omerovic (SINTEF). As a member of the Data Science research program at the Center for Scalable Data Access (SIRIUS), I do research on eXplainable AI (XAI). I am excited about making black-box machine learning models explainable, transparent, and accountable. My research interests include Machine Learning, Computer Vision, Optimization, eXplainable AI, and Interpretability.
Publikasjoner
- Rasouli, Peyman & Yu, Ingrid Chieh (2020). EXPLAN: Explaining Black-box Classifiers using Adaptive Neighborhood Generation. Proceedings of ... International Joint Conference on Neural Networks. ISSN 2161-4393. . doi: 10.1109/IJCNN48605.2020.9206710 Fulltekst i vitenarkiv.
- Rasouli, Peyman & Yu, Ingrid Chieh (2019). Meaningful Data Sampling for a Faithful Local Explanation Method. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. s 28- 38 . doi: 10.1007/978-3-030-33607-3_4 Fulltekst i vitenarkiv.
Publisert 17. sep. 2018 15:34
- Sist endret 11. aug. 2020 10:49