7 citations · 21 across the 9 of their papers we have counts for
9 papers
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes
Danial Yazdani, Juergen Branke, Mohammad Sadegh Khorshidi +4
Clustering in dynamic environments is of increasing importance, with broad applications ranging from real-time data analysis and online unsupervised learning to dynamic facility lo…
Text-Based Product Matching -- Semi-Supervised Clustering Approach
Alicja Martinek, Szymon Łukasik, Amir H. Gandomi
Matching identical products present in multiple product feeds constitutes a crucial element of many tasks of e-commerce, such as comparing product offerings, dynamic price optimiza…
Semantic-Preserving Feature Partitioning for Multi-View Ensemble Learning
Mohammad Sadegh Khorshidi, Navid Yazdanjue, Hassan Gharoun +4
In machine learning, the exponential growth of data and the associated ``curse of dimensionality'' pose significant challenges, particularly with expansive yet sparse datasets. Add…
Noise-Augmented Boruta: The Neural Network Perturbation Infusion with Boruta Feature Selection
Hassan Gharoun, Navid Yazdanjoe, Mohammad Sadegh Khorshidi +1
With the surge in data generation, both vertically (i.e., volume of data) and horizontally (i.e., dimensionality), the burden of the curse of dimensionality has become increasingly…
The Power of Internet of Things (IoT): Connecting the Dots with Cloud, Edge, and Fog Computing
Shams Forruque Ahmed, Shanjana Shuravi, Shaila Afrin +3
The Internet of Things (IoT) is regarded as an improved communication system that has revolutionized traditional lifestyles. To function successfully, IoT requires a combination of…
A Comprehensive Bibliometric Analysis on Social Network Anonymization: Current Approaches and Future Directions
Navid Yazdanjue, Hossein Yazdanjouei, Hassan Gharoun +3
In recent decades, social network anonymization has become a crucial research field due to its pivotal role in preserving users' privacy. However, the high diversity of approaches…