| Improving extreme learning machine by competitive swarm optimization and its application for medical diagnosis problems M Eshtay, H Faris, N Obeid Expert Systems with Applications 104, 134-152, 2018 | 82 | 2018 |
| Time-varying hierarchical chains of salps with random weight networks for feature selection H Faris, AA Heidari, AZ Ala’M, M Mafarja, I Aljarah, M Eshtay, S Mirjalili Expert Systems with Applications 140, 112898, 2020 | 78 | 2020 |
| Metaheuristic-based extreme learning machines: a review of design formulations and applications M Eshtay, H Faris, N Obeid International Journal of Machine Learning and Cybernetics 10, 1543-1561, 2019 | 31 | 2019 |
| Optimizing extreme learning machines using chains of salps for efficient Android ransomware detection H Faris, M Habib, I Almomani, M Eshtay, I Aljarah Applied Sciences 10 (11), 3706, 2020 | 27 | 2020 |
| Software defect prediction using heterogeneous ensemble classification based on segmented patterns H Alsawalqah, N Hijazi, M Eshtay, H Faris, AA Radaideh, I Aljarah, ... Applied Sciences 10 (5), 1745, 2020 | 26 | 2020 |
| Comparison study of different lossy compression techniques applied on digital mammogram images A AbuBaker, M Eshtay, M AkhoZahia International Journal of Advanced Computer Science and Applications 7 (12), 2016 | 13 | 2016 |
| Performance optimization for mobile agent message broadcast model using V-Agent F Al-Shrouf, M Eshtay, KA Humaidan IJCSNS International Journal of Computer Science and Network Security 8 (8 …, 2008 | 10 | 2008 |
| A competitive swarm optimizer with hybrid encoding for simultaneously optimizing the weights and structure of Extreme Learning Machines for classification problems M Eshtay, H Faris, N Obeid International Journal of Machine Learning and Cybernetics 11, 1801-1823, 2020 | 9 | 2020 |
| Implementing bi-temporal properties into various NoSQL database categories M Eshtay, A Sleit, M Aldwairi International Journal of Computing 18 (1), 45-52, 2019 | 9 | 2019 |
| AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents M Eshtay, H Faris, AA Heidari, AM Al-Zoubi, I Aljarah Neural Computing and Applications 33, 5507-5524, 2021 | 6 | 2021 |
| NMVSA greedy solution for vertex cover problem M Eshtay, A Sleit, A Sharieh International Journal of Advanced Computer Science and Applications 7 (3), 2016 | 5 | 2016 |
| Evaluation of class decomposition based on clustering validity and k-means algorithm B Sowan, N Matar, F Omar, M Alauthman, M Eshtay 2020 21st International Arab Conference on Information Technology (ACIT), 1-6, 2020 | 2 | 2020 |
| Enhancing Small Medical Dataset Classification Performance Using GAN M Alauthman, A Al-qerem, B Sowan, A Alsarhan, M Eshtay, A Aldweesh, ... Informatics 10 (1), 28, 2023 | | 2023 |
| Hybrid PSO feature selection-based association classification approach for breast cancer detection B Sowan, M Eshtay, K Dahal, H Qattous, L Zhang Neural Computing and Applications, 1-27, 2022 | | 2022 |
| Towards General and Comprehensive Definition of Visualization and Visualization Pipeline M Eshtay, R Alsayyed, A Sleit Asian Journal of Information Technology 16 (6), 527-535, 2017 | | 2017 |
| Learners General Quality Attributes within Courseware Design A Turani, F Al-Shrouf, M Eshtay INFOCOMP Journal of Computer Science 8 (2), 90-94, 2009 | | 2009 |
| Hierarchal Traveling Design Pattern for Mobile Agents in JADE Framework M Eshtay | | |
Hossam FarisProfessor, The University of JordanVerified email at ju.edu.jo
