Hossam Faris

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Citations	21249	20287
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Ibrahim AljarahProfessor of Big Data Mining and Computational Intelligence, The University of JordanVerified email at ju.edu.jo
Seyedali MirjaliliProfessor, Torrens University Australia, Obuda University, Griffith UniversityVerified email at griffith.edu.au
Ala’ M. Al-ZoubiUniversity of GranadaVerified email at correo.ugr.es
Alaa ShetaComputer Science Department, Southern Connecticut State UniversityVerified email at southernct.edu
Pedro A. Castillo-ValdiviesoUniversidad de GranadaVerified email at ugr.es
Raneem QaddouraAssistant Professor of Artificial Intelligence and Data Science, Al Hussein Technical UniversityVerified email at htu.edu.jo
Ja'far Alqatawna, Associate ProfessorUniversity of Jordan and Higher Colleges of TechnologyVerified email at ju.edu.jo
Ali RodanAssociate Professor of Artificial Intelligence, University of JordanVerified email at ju.edu.jo
Nazeeh GhatashehAssociate Professor, Dept. of Information Technology, The University of JordanVerified email at ju.edu.jo
Nailah Al-MadiAssociate Professor of Data Science, Princess Sumaya University for TechnologyVerified email at psut.edu.jo
Hamad AlsawalqahAssociate Professor of Software Engineering, The University of JordanVerified email at ju.edu.jo
Mohammed Azmi Al-BetarProfessor of Artificial Intelligence, Ajman University & Al-Balqa Applied UniversityVerified email at bau.edu.jo
Mohammed EshtayASAC, Luminus Technical University CollegeVerified email at fgs.ju.edu.jo
Antonio MoraAssociate Professor at Dept. of Signal Theory, Telematics and Communications. University of GranadaVerified email at ugr.es
Bashar Awad Al-ShboulAssociate Professor, The University of JordanVerified email at ju.edu.jo
Juan J. Merelo GuervósUniversity of GranadaVerified email at ugr.es
Mouhammd AlkasassbehProfessor of Computer Science, Princess Sumaya University for Technology, JordanVerified email at psut.edu.jo
Mohammed AwadallahAssociate Prof. of Artificial Intelligence, Al-Aqsa University, PalestineVerified email at alaqsa.edu.ps
Ahmad HassanatProfessor of computer science, Mutah UniversityVerified email at mutah.edu.jo
Ertan ÖznergizEmekli, İstanbul Teknik ÜniversitesiVerified email at itu.edu.tr

Hossam Faris

Professor, The University of Jordan

Verified email at ju.edu.jo - Homepage

Data Science Knowledge Systems Data Mining Evolutionary computation


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Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems S Mirjalili, AH Gandomi, SZ Mirjalili, S Saremi, H Faris, SM Mirjalili Advances in engineering software 114, 163-191, 2017	4122	2017
Harris hawks optimization: Algorithm and applications AA Heidari, S Mirjalili, H Faris, I Aljarah, M Mafarja, H Chen Future generation computer systems 97, 849-872, 2019	4007	2019
Grey wolf optimizer: a review of recent variants and applications H Faris, I Aljarah, MA Al-Betar, S Mirjalili Neural computing and applications 30, 413-435, 2018	828	2018
Optimizing connection weights in neural networks using the whale optimization algorithm I Aljarah, H Faris, S Mirjalili Soft Computing 22, 1-15, 2018	700	2018
Grasshopper optimization algorithm for multi-objective optimization problems SZ Mirjalili, S Mirjalili, S Saremi, H Faris, I Aljarah Applied Intelligence 48, 805-820, 2018	665	2018
An efficient binary salp swarm algorithm with crossover scheme for feature selection problems H Faris, MM Mafarja, AA Heidari, I Aljarah, AZ Ala’m, S Mirjalili, H Fujita Knowledge-Based Systems 154, 43-67, 2018	590	2018
Evolutionary population dynamics and grasshopper optimization approaches for feature selection problems M Mafarja, I Aljarah, AA Heidari, AI Hammouri, H Faris, AZ Ala’M, ... Knowledge-Based Systems 145, 25-45, 2018	408	2018
Binary grasshopper optimisation algorithm approaches for feature selection problems M Mafarja, I Aljarah, H Faris, AI Hammouri, AZ Ala’M, S Mirjalili Expert Systems with Applications 117, 267-286, 2019	387	2019
Binary dragonfly optimization for feature selection using time-varying transfer functions M Mafarja, I Aljarah, AA Heidari, H Faris, P Fournier-Viger, X Li, S Mirjalili Knowledge-Based Systems 161, 185-204, 2018	363	2018
An efficient hybrid multilayer perceptron neural network with grasshopper optimization AA Heidari, H Faris, I Aljarah, S Mirjalili Soft Computing 23, 7941-7958, 2019	287	2019
An intelligent system for spam detection and identification of the most relevant features based on evolutionary random weight networks H Faris, AZ Ala’M, AA Heidari, I Aljarah, M Mafarja, MA Hassonah, ... Information Fusion 48, 67-83, 2019	265	2019
Simultaneous feature selection and support vector machine optimization using the grasshopper optimization algorithm I Aljarah, AM Al-Zoubi, H Faris, MA Hassonah, S Mirjalili, H Saadeh Cognitive Computation 10, 478-495, 2018	239	2018
A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture H Faris, MA Hassonah, AZ Ala’M, S Mirjalili, I Aljarah Neural Computing and Applications, 1-15, 2017	239	2017
Training feedforward neural networks using multi-verse optimizer for binary classification problems H Faris, I Aljarah, S Mirjalili Applied Intelligence 45, 322-332, 2016	231	2016
Genetic algorithm: Theory, literature review, and application in image reconstruction S Mirjalili, J Song Dong, AS Sadiq, H Faris Nature-inspired optimizers: Theories, literature reviews and applications, 69-85, 2020	211	2020
An evolutionary gravitational search-based feature selection M Taradeh, M Mafarja, AA Heidari, H Faris, I Aljarah, S Mirjalili, H Fujita Information Sciences 497, 219-239, 2019	208	2019
Asynchronous accelerating multi-leader salp chains for feature selection I Aljarah, M Mafarja, AA Heidari, H Faris, Y Zhang, S Mirjalili Applied Soft Computing 71, 964-979, 2018	200	2018
Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection A Al Shorman, H Faris, I Aljarah Journal of Ambient Intelligence and Humanized Computing 11 (7), 2809-2825, 2020	191	2020
A comparison between regression, artificial neural networks and support vector machines for predicting stock market index AF Sheta, SEM Ahmed, H Faris Soft Computing 7 (8), 2, 2015	185	2015
MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems MH Nadimi-Shahraki, S Taghian, S Mirjalili, H Faris Applied Soft Computing 97, 106761, 2020	173	2020

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