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Mohammed Eshtay
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2020 – today
- 2023
- [j8]Mohammad Alauthman
, Ahmad Al-Qerem
, Bilal Sowan
, Ayoub Alsarhan
, Mohammed Eshtay
, Amjad Aldweesh
, Nauman Aslam
:
Enhancing Small Medical Dataset Classification Performance Using GAN. Informatics 10(1): 28 (2023) - [j7]Bilal Sowan
, Mohammed Eshtay
, Keshav P. Dahal
, Hazem Qattous, Li Zhang:
Hybrid PSO feature selection-based association classification approach for breast cancer detection. Neural Comput. Appl. 35(7): 5291-5317 (2023) - 2022
- [c3]Abdelbaset Jamal Assaf
, Lana Issa
, Mohammed Eshtay
:
Evaluating the Quality Characteristics of Space Geeks. WEBIST (Revised Selected Papers) 2022: 248-260 - [c2]Abdelbaset Jamal Assaf, Mohammed Eshtay, Lana Issa:
Space Geeks: A Proposed Serious Game to Teach Array Concept for Novice Programming Students. WEBIST 2022: 431-438 - 2021
- [j6]Mohammed Eshtay
, Hossam Faris
, Ali Asghar Heidari
, Ala' M. Al-Zoubi, Ibrahim Aljarah:
AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents. Neural Comput. Appl. 33(11): 5507-5524 (2021) - 2020
- [j5]Hossam Faris
, Ali Asghar Heidari
, Ala' M. Al-Zoubi
, Majdi M. Mafarja
, Ibrahim Aljarah
, Mohammed Eshtay
, Seyedali Mirjalili
:
Time-varying hierarchical chains of salps with random weight networks for feature selection. Expert Syst. Appl. 140 (2020) - [j4]Mohammed Eshtay
, Hossam Faris
, Nadim Obeid:
A competitive swarm optimizer with hybrid encoding for simultaneously optimizing the weights and structure of Extreme Learning Machines for classification problems. Int. J. Mach. Learn. Cybern. 11(8): 1801-1823 (2020) - [c1]Bilal Sowan, Nasim Matar
, Firas Omar, Mohammad Alauthman
, Mohammed Eshtay
:
Evaluation of Class Decomposition based on Clustering Validity and K-means Algorithm. ACIT 2020: 1-6
2010 – 2019
- 2019
- [j3]Mohammed Eshtay, Azzam Sleit, Monther Aldwairi:
Implementing bi-Temporal Properties into various NoSQL Database Categories. Int. J. Comput. 18: 45-52 (2019) - [j2]Mohammed Eshtay
, Hossam Faris
, Nadim Obeid:
Metaheuristic-based extreme learning machines: a review of design formulations and applications. Int. J. Mach. Learn. Cybern. 10(6): 1543-1561 (2019) - 2018
- [j1]Mohammed Eshtay
, Hossam Faris
, Nadim Obeid
:
Improving Extreme Learning Machine by Competitive Swarm Optimization and its application for medical diagnosis problems. Expert Syst. Appl. 104: 134-152 (2018)
Coauthor Index
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