Online streaming feature selection using rough sets S Eskandari, M Javidi International Journal of Approximate Reasoning 69, 35-57, 2016 | 104 | 2016 |
Streamwise feature selection: a rough set method MM Javidi, S Eskandari International Journal of Machine Learning and Cybernetics, 2016 | 34 | 2016 |
Online and offline streaming feature selection methods with bat algorithm for redundancy analysis S Eskandari, M Seifaddini Pattern Recognition 133, 109007, 2023 | 30 | 2023 |
Online streaming feature selection: a minimum redundancy, maximum significance approach M Javidi, S Eskandari Pattern Analysis and Applicatioins, 2018 | 21 | 2018 |
A similarity-based mechanism to control genetic algorithm and local search hybridization to solve traveling salesman problem M Kuchaki Rafsanjani, S Eskandari, A Borumand Saeid Neural Computing and Applications 26, 213-222, 2015 | 16 | 2015 |
A novel hybrid bat algorithm with a fast clustering-based hybridization S Eskandari, MM Javidi Evolutionary intelligence 13 (3), 427-442, 2020 | 10 | 2020 |
Supervised infinite feature selection S Eskandari, E Akbas arXiv preprint arXiv:1704.02665, 2017 | 6 | 2017 |
SOCP approach to robust twin parametric margin support vector machine A Sahleh, M Salahi, S Eskandari Applied Intelligence, 1-19, 2022 | 5 | 2022 |
Rough sets theory and its extensions for attribute reduction: A review S Eskandari Big data and computing visions 1 (2), 96-100, 2021 | 4 | 2021 |
PyIT-MLFS: A Python-based Information Theoretical Multi-Label Feature Selection Library S Eskandari International Journal of Research in Industrial Engineering, 2022 | 3 | 2022 |
An intrusion detection system with a parallel multi-layer neural network. MHN Solhdar, MJ Solahdar, S Eskandarix Journal of Mathematical Modeling (JMM) 9 (3), 2021 | 3 | 2021 |
A noise resistant dependency measure for rough set-based feature selection MM Javidi, S Eskandari Journal of intelligent & fuzzy systems 33 (3), 1613-1626, 2017 | 3 | 2017 |
Understanding user intent modeling for conversational recommender systems: a systematic literature review S Farshidi, K Rezaee, S Mazaheri, AH Rahimi, A Dadashzadeh, ... User Modeling and User-Adapted Interaction, 1-64, 2024 | 2 | 2024 |
CInf-FS: an efficient infinite feature selection method using K-means clustering to partition large feature spaces SF Hassani Ziabari, S Eskandari, M Salahi Pattern Analysis and Applications 26 (4), 1631-1639, 2023 | 2 | 2023 |
Multi-class nonparallel support vector machine A Sahleh, M Salahi, S Eskandari Progress in Artificial Intelligence, 2023 | 2 | 2023 |
Multi-label feature selection using geometric series of relevance matrix S Eskandari The Journal of Supercomputing 78 (12), 14402-14418, 2022 | 2 | 2022 |
Two new selection methods and their effects on the performance of genetic algorithm in solving supply chain and traveling salesman problems S Eskandari, MK Rafsanjani International Journal of Bio-Inspired Computation, 2023 | 1 | 2023 |
Using Segment-based Genetic Algorithm with Local Search to Find Approximate Solution for Multi-Stage Supply Chain Network Design Problem MK Rafsanjani, S Eskandari Cankaya University Journal of Science and Engineering 10 (2), 2013 | 1 | 2013 |
A new combinational selection operator in genetic algorithm MK Rafsanjani, S Eskandari Indian Journal of Science and Technology 5 (12), 2012 | 1 | 2012 |
Extended twin parametric margin support vector regression A Sahleh, M Salahi, S Eskandari, T Khodamoradi OPSEARCH, 1-24, 2024 | | 2024 |