I am a PhD Research Fellow in Data Science at the University of Oslo (UiO), Norway, advised by Dr. Ingrid Chieh Yu (Associate Professor, UiO) and Dr. Aida Omerovic (Research Director, Norsk Regnesentral). As a member of the Center for Scalable Data Access (SIRIUS), I do research on Explainable AI (XAI). My research involves interpreting, debugging, and validating black-box machine learning models. I am deeply excited about making AI decision systems explainable, transparent, and accountable. My research interests include Machine Learning, Explainable AI, Knowledge Discovery, and Computational Intelligence. More information is available on my personal home page.
- 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.