Soroosh Shalileh

Publications¹⁴

• Article Shalileh S. An Effective Partitional Crisp Clustering Method Using Gradient Descent Approach // Mathematics. 2023. Vol. 11. No. 12. Article 2617. doi
• Article Mirkin B., Shalileh S. Community Detection in Feature-Rich Networks Using Data Recovery Approach // Journal of Classification. 2022. Vol. 39. P. 432-462. doi
• Article Shalileh S., Mirkin B. Community Partitioning over Feature-Rich Networks Using an Extended K-Means Method // Entropy. 2022. Vol. 24. No. 5. Article 626. doi
• Chapter Shalileh S., Mirkin B. A Method for Community Detection in Networks with Mixed Scale Features at Its Nodes, in: Complex Networks & Their Applications IX. Volume 1: Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020. Springer, 2021. P. 3-14. doi
• Chapter Shalileh S., Mirkin B. An Extension of K-Means for Least-Squares Community Detection in Feature-Rich Networks, in: COMPLEX NETWORKS 2021: Complex Networks & Their Applications X.. Springer, 2021. P. 285-296. doi (in press)
• Chapter Shalileh S., Mirkin B. Community detection in feature-rich networks to meet K-means, in: ASONAM '21: Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Association for Computing Machinery (ACM), 2021. P. 138-142. doi (in press)
• Chapter Shalileh S., Mirkin B. Detecting Communities in Feature-Rich Networks with a K-Means Method, in: Intelligent Data Engineering and Automated Learning – IDEAL 2021. Springer, 2021. P. 539-547. doi (in press)
• Chapter Shalileh S. Improving Maximum Likelihood Estimation Using Marginalization and Black-Box Variational Inference, in: Intelligent Data Engineering and Automated Learning – IDEAL 2021. Springer, 2021. P. 204-212. doi (in press)
• Article Shalileh S., Mirkin B. Least-squares community extraction in feature-rich networks using similarity data // Plos One. 2021. Vol. 16. No. 7. Article 0254377. doi
• Article Shalileh S., Mirkin B. Summable and nonsummable data‐driven models for community detection in feature‐rich networks // Social Network Analysis and Mining. 2021. Vol. 11. No. 1. P. 1-23. doi
• Chapter Shalileh S., Mirkin B. A Data Recovery Method for Community Detection in Feature-Rich Networks, in: 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). Association for Computing Machinery (ACM), 2020. doi P. 99-104. doi
• 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.
• Chapter Shalileh S., Shahdi S. O. Crowd scenes analysis using multiple sliding windows classifiers and Histogram of Oriented Gradient, in: 2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP). IEEE, 2017. doi P. 31-38. doi