Soroosh Shalileh
- Doctoral Student:Faculty of Computer Science / School of Data Analysis and Artificial Intelligence
- Research Assistant:Faculty of Computer Science / Laboratory of Methods for Big Data Analysis
- Soroosh Shalileh has been at HSE University since 2018.
Postgraduate Studies
4th year of study
Approved topic of thesis: Clustering in networks using graph and feature information
Academic Supervisor: Mirkin, Boris
Teaching Assistant for the Course Moderm Methods of Data Analysis, Lecturer Prof. Boris Mirkin (2018 - up to now)
Publications5
- Chapter Shalileh S., Mirkin B. A Data Recovery Method for Community Detection in Feature-Rich Networks, in: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). Association for Computing Machinery (ACM), 2020. P. 99-105. (in press)
- Chapter Shalileh S., Mirkin B. A Method for Community Detection in Networks with Mixed Scale Features at Its Nodes, in: Studies in Computational Intelligence Vol. 943: 9th International Conference on Complex Networks and Their Application, COMPLEX NETWORKS 2020. Springer, 2020. P. 3-14. doi (in press)
- Chapter Shalileh S., Mirkin B. A One-by-One Method for Community Detection in Attributed Networks, in: Intelligent Data Engineering and Automated Learning – IDEAL 2020/ 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part II Vol. 12490: Lecture Notes in Computer Science. Cham : Springer, 2020. P. 413-422. doi
- Chapter Shalileh S., Mirkin B. Detection of an unspecified number of communities in feature-rich networks, in: Proceedings of MARAMI 2020 - Modèles & Analyse des Réseaux : Approches Mathématiques & Informatiques - The 11th Conference on Network Modeling and Analysis(Vol-2750) Vol. Vol-2750: Modèles & Analyse des Réseaux : Approches Mathématiques & Informatiques - Network Modeling and Analysis 2020. CEUR-WS.org, 2020. P. 1-12. (in press)
