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2020 – today
- 2024
[j13]Siamak Farshidi, Kiyan Rezaee, Sara Mazaheri, Amir Hossein Rahimi, Ali Dadashzadeh, Morteza Ziabakhsh, Sadegh Eskandari, Slinger Jansen:
Understanding user intent modeling for conversational recommender systems: a systematic literature review. User Model. User Adapt. Interact. 34(5): 1643-1706 (2024)- 2023
- [j12]Sadegh Eskandari, Marjan Kuchaki Rafsanjani:
Two new selection methods and their effects on the performance of genetic algorithm in solving supply chain and travelling salesman problems. Int. J. Bio Inspired Comput. 22(3): 176-184 (2023) - [j11]Seyyedeh Faezeh Hassani Ziabari, Sadegh Eskandari
, Maziar Salahi:
CInf-FSS: an efficient infinite feature selection method using K-means clustering to partition large feature spaces. Pattern Anal. Appl. 26(4): 1631-1639 (2023) - [j10]Ali Sahleh, Maziar Salahi, Sadegh Eskandari:
Multi-class nonparallel support vector machine. Prog. Artif. Intell. 12(4): 349-361 (2023) - [j9]Sadegh Eskandari, M. Seifaddini:
Online and offline streaming feature selection methods with bat algorithm for redundancy analysis. Pattern Recognit. 133: 109007 (2023) - [i3]Siamak Farshidi, Kiyan Rezaee, Sara Mazaheri, Amir Hossein Rahimi, Ali Dadashzadeh, Morteza Ziabakhsh, Sadegh Eskandari, Slinger Jansen:
Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review. CoRR abs/2308.08496 (2023) - [i2]Sadegh Eskandari, Sahar Ghassabi:
Multi-Label Feature Selection Using Adaptive and Transformed Relevance. CoRR abs/2309.14768 (2023) - 2022
- [j8]Ali Sahleh, Maziar Salahi, Sadegh Eskandari:
SOCP approach to robust twin parametric margin support vector machine. Appl. Intell. 52(8): 9174-9192 (2022) - [j7]Sadegh Eskandari:
Multi-label feature selection using geometric series of relevance matrix. J. Supercomput. 78(12): 14402-14418 (2022) - 2020
- [j6]Sadegh Eskandari, Mohammad Masoud Javidi:
A novel hybrid bat algorithm with a fast clustering-based hybridization. Evol. Intell. 13(3): 427-442 (2020)
2010 – 2019
- 2019
- [j5]Mohammad Masoud Javidi, Sadegh Eskandari:
Online streaming feature selection: a minimum redundancy, maximum significance approach. Pattern Anal. Appl. 22(3): 949-963 (2019) - 2018
- [j4]Mohammad Masoud Javidi, Sadegh Eskandari:
Streamwise feature selection: a rough set method. Int. J. Mach. Learn. Cybern. 9(4): 667-676 (2018) - 2017
- [j3]Mohammad Masoud Javidi, Sadegh Eskandari:
A noise resistant dependency measure for rough set-based feature selection. J. Intell. Fuzzy Syst. 33(3): 1613-1626 (2017) - [i1]Sadegh Eskandari, Emre Akbas:
Supervised Infinite Feature Selection. CoRR abs/1704.02665 (2017) - 2016
- [j2]Sadegh Eskandari, Mohammad Masoud Javidi:
Online streaming feature selection using rough sets. Int. J. Approx. Reason. 69: 35-57 (2016) - 2015
- [j1]Marjan Kuchaki Rafsanjani, Sadegh Eskandari, Arsham Borumand Saeid:
A similarity-based mechanism to control genetic algorithm and local search hybridization to solve traveling salesman problem. Neural Comput. Appl. 26(1): 213-222 (2015)
Coauthor Index
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