About
My name is Nedeljko Radulović and I am a PhD candidate under the supervision of Albert Bifet and Fabian Suchanek, at LTCI laboratory, at Télécom Paris which is part of Institut de Polytechnique de Paris. My research is focused mainly on eXplainable Artificial Intelligence, namely on post-hoc explanation generation methods, but I am also interested in Stream Data Mining and Statistical Relational Learning.
For more information, you can consult my CV or my profiles on Linkedin or Github.
Publications
- Nedeljko Radulovic, Dihia Boulegane, Albert Bifet, (2020). SCALAR - A Platform for Real-time Machine Learning Competitions on Data Streams. Journal of Open Source Software, 5(56), 2676. [paper] [github] [docs]
- Nedeljko Radulovic, Albert Bifet, Fabian Suchanek: “Confident Interpretations of Black Box Classifiers” International Joint Conference on Neural Networks (IJCNN), 2021 [paper] [github]
- N. Radulovic, A. Bifet, and F. Suchanek, “BELLA: Black-box model Explanations by Local Linear Approximations,” in Association for the Advancement of Artificial Intelligence, AAAI, UNDER REVIEW, [preprint]
- D. Boulegane, N. Radulovic, A. Bifet, et al., “Real-time machine learning competition on data streams at the ieee big data 2019,” in 2019 IEEE International Conference on Big Data (Big Data), [paper][web-page], IEEE, 2019, pp. 3493–3497. —
Teaching
I also work as a teaching assistant at Télécom Paris, on following topics:
- Machine Learning
- Knowledge bases
- Big Data
- Data Stream Mining
- Databases
Contact
Work Email: nedeljko.radulovic@telecom-paris.fr
Personal Email: nedeljko.radulovic88@gmail.com