Soroosh Shalileh

Orcid: 0000-0001-6226-4990

According to our database1, Soroosh Shalileh authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Predicting First-Language and Second-Language Proficiency Using Eye Fixation Data and Demographic Information: Assumptions, Data Representations, and Methods.
IEEE Access, 2024

2023
Community Detection in Feature-Rich Networks Using Gradient Descent Approach.
Proceedings of the Complex Networks & Their Applications XII, 2023

2022
Community Partitioning over Feature-Rich Networks Using an Extended K-Means Method.
Entropy, 2022

Community Detection in Feature-Rich Networks Using Data Recovery Approach.
J. Classif., 2022

2021
Summable and nonsummable data-driven models for community detection in feature-rich networks.
Soc. Netw. Anal. Min., 2021

Detecting Communities in Feature-Rich Networks with a K-Means Method.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

Improving Maximum Likelihood Estimation Using Marginalization and Black-Box Variational Inference.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

An Extension of K-Means for Least-Squares Community Detection in Feature-Rich Networks.
Proceedings of the Complex Networks & Their Applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

Community detection in feature-rich networks to meet K-means.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
Detection of an Unspecified Number of Communities in Feature-Rich Networks.
Proceedings of MARAMI 2020 - Modèles & Analyse des Réseaux : Approches Mathématiques & Informatiques, 2020

A One-by-One Method for Community Detection in Attributed Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

A Method for Community Detection in Networks with Mixed Scale Features at Its Nodes.
Proceedings of the Complex Networks & Their Applications IX, 2020

A Data Recovery Method for Community Detection in Feature-Rich Networks.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020


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