Framework and Implementation of a Knowledge Management System for Aerospace Collaborative Working Environments. - Hossam Faris; Salvatore Totaro; Angelo Corallo (Mobile Data Management (2), 2011)

An Automatic Course Scheduling Approach Using Instructors' Preferences. - Ibrahim Aljarah; Ayad Salhieh; Hossam Faris (Int. J. Emerg. Technol. Learn., 2012)

Modelling hot rolling manufacturing process using soft computing techniques. - Hossam Faris; Alaa F. Sheta; Ertan Öznergiz (Int. J. Comput. Integr. Manuf., 2013)

A Genetic Programming Based Framework for Churn Prediction in Telecommunication Industry. - Hossam Faris; Bashar Al-Shboul; Nazeeh Ghatasheh (ICCCI, 2014)

Improving production quality of a hot-rolling industrial process via genetic programming model. - Alaa F. Sheta; Hossam Faris; Ertan Öznergiz (Int. J. Comput. Appl. Technol., 2014)

Credit Risk Evaluation Using Cycle Reservoir Neural Networks with Support Vector Machines Readout. - Ali Rodan; Hossam Faris (ACIIDS (1), 2016)

Users Profiling Using Clickstream Data Analysis and Classification. - Wedyan Alswiti; Ja'far Alqatawna; Bashar Al-Shboul; Hossam Faris; Heba Hakh (CCC, 2016)

A Hybrid Approach Based on Particle Swarm Optimization and Random Forests for E-Mail Spam Filtering. - Hossam Faris; Ibrahim Aljarah; Bashar Al-Shboul (ICCCI (1), 2016)

EvoloPy: An Open-source Nature-inspired Optimization Framework in Python. - Hossam Faris; Ibrahim Aljarah; Seyedali Mirjalili; Pedro A. Castillo; Juan Julián Merelo Guervós (IJCCI (ECTA), 2016)

Training feedforward neural networks using multi-verse optimizer for binary classification problems. - Hossam Faris; Ibrahim Aljarah; Seyedali Mirjalili (Appl. Intell., 2016)

Optimizing the Learning Process of Feedforward Neural Networks Using Lightning Search Algorithm. - Hossam Faris; Ibrahim Aljarah; Nailah Al-Madi; Seyedali Mirjalili (Int. J. Artif. Intell. Tools, 2016)

A comparison between parametric and non-parametric soft computing approaches to model the temperature of a metal cutting tool. - Hossam Faris; Alaa F. Sheta (Int. J. Comput. Integr. Manuf., 2016)

Hybrid SMOTE-Ensemble Approach for Software Defect Prediction. - Hamad I. Alsawalqah; Hossam Faris; Ibrahim Aljarah; Loai M. Alnemer; Nouh Alhindawi (CSOC (3), 2017)

Empirical Evaluation of the Cycle Reservoir with Regular Jumps for Time Series Forecasting: A Comparison Study. - Mais Haj Qasem; Hossam Faris; Ali Rodan; Alaa F. Sheta (CSOC (1), 2017)

Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems. - Seyedali Mirjalili; Amir Hossein Gandomi; Seyedeh Zahra Mirjalili; Shahrzad Saremi; Hossam Faris; Seyed Mohammad Mirjalili (Adv. Eng. Softw., 2017)

EMFET: E-mail Features Extraction Tool. - Wadi' Hijawi; Hossam Faris; Ja'far Alqatawna; Ibrahim Aljarah; Ala' M. Al-Zoubi; Maria Habib (CoRR, 2017)

Applying computational intelligence methods for predicting the sales of newly published books in a real editorial business management environment. - Pedro A. Castillo; Antonio Mora García; Hossam Faris; Juan Julián Merelo Guervós; Pablo García-Sánchez; Antonio Fernández-Ares; Paloma de las Cuevas; Maribel García Arenas (Knowl. Based Syst., 2017)

Bidirectional reservoir networks trained using SVM + privileged information for manufacturing process modeling. - Ali Rodan; Alaa F. Sheta; Hossam Faris (Soft Comput., 2017)

Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line Reservoir. - Ali Rodan; Pedro A. Castillo; Hossam Faris; Antonio Miguel Mora; Huthaifa Jawazneh (ESANN, 2018)

The Influence of Input Data Standardization Methods on the Prediction Accuracy of Genetic Programming Generated Classifiers. - Amaal R. Al Shorman; Hossam Faris; Pedro A. Castillo; Juan Julián Merelo Guervós; Nailah Al-Madi (IJCCI, 2018)

Improved monarch butterfly optimization for unconstrained global search and neural network training. - Hossam Faris; Ibrahim Aljarah; Seyedali Mirjalili (Appl. Intell., 2018)

Grasshopper optimization algorithm for multi-objective optimization problems. - Seyedeh Zahra Mirjalili; Seyedali Mirjalili; Shahrzad Saremi; Hossam Faris; Ibrahim Aljarah (Appl. Intell., 2018)

Identifying β-thalassemia carriers using a data mining approach: The case of the Gaza Strip, Palestine. - Alaa S. AlAgha; Hossam Faris; Bassam H. Hammo; Ala' M. Al-Zoubi (Artif. Intell. Medicine, 2018)

Asynchronous accelerating multi-leader salp chains for feature selection. - Ibrahim Aljarah; Majdi M. Mafarja; Ali Asghar Heidari; Hossam Faris; Yong Zhang 016; Seyedali Mirjalili (Appl. Soft Comput., 2018)

Simultaneous Feature Selection and Support Vector Machine Optimization Using the Grasshopper Optimization Algorithm. - Ibrahim Aljarah; Ala' M. Al-Zoubi; Hossam Faris; Mohammad A. Hassonah; Seyedali Mirjalili; Heba Saadeh (Cogn. Comput., 2018)

Sentiment analysis for Arabic language: A brief survey of approaches and techniques. - Mo'ath Alrefai; Hossam Faris; Ibrahim Aljarah (CoRR, 2018)

Evolutionary static and dynamic clustering algorithms based on multi-verse optimizer. - Sarah Shukri; Hossam Faris; Ibrahim Aljarah; Seyedali Mirjalili; Ajith Abraham (Eng. Appl. Artif. Intell., 2018)

Natural selection methods for Grey Wolf Optimizer. - Mohammed Azmi Al-Betar; Mohammed A. Awadallah 001; Hossam Faris; Ibrahim Aljarah; Abdelaziz I. Hammouri (Expert Syst. Appl., 2018)

Improving Extreme Learning Machine by Competitive Swarm Optimization and its application for medical diagnosis problems. - Mohammed Eshtay; Hossam Faris; Nadim Obeid (Expert Syst. Appl., 2018)

On Computerizing the Ancient Game of Ṭāb. - Ahmad B. A. Hassanat; Ghada Awad Altarawneh; Ahmad S. Tarawneh; Hossam Faris; Mahmoud Bashir Alhasanat; Alex J. de Voogt; Baker Al-Rawashdeh; Mohammed Alshamaileh; V. B. Surya Prasath (Int. J. Gaming Comput. Mediat. Simulations, 2018)

Bat-inspired algorithms with natural selection mechanisms for global optimization. - Mohammed Azmi Al-Betar; Mohammed A. Awadallah 001; Hossam Faris; Xin-She Yang 001; Ahamad Tajudin Khader; Osama Ahmad Alomari (Neurocomputing, 2018)

A Hybrid Swarm Intelligent Neural Network Model for Customer Churn Prediction and Identifying the Influencing Factors. - Hossam Faris (Inf., 2018)

An Improved Genetic Algorithm with a New Initialization Mechanism Based on Regression Techniques. - Ahmad B. A. Hassanat; V. B. Surya Prasath; Mohammad Ali Abbadi; Salam Amer Abu-Qdari; Hossam Faris (Inf., 2018)

Feature engineering for detecting spammers on Twitter: Modelling and analysis. - Wafa Herzallah; Hossam Faris; Omar Adwan (J. Inf. Sci., 2018)

Evolving Support Vector Machines using Whale Optimization Algorithm for spam profiles detection on online social networks in different lingual contexts. - Ala' M. Al-Zoubi; Hossam Faris; Ja'far Alqatawna; Mohammad A. Hassonah (Knowl. Based Syst., 2018)

An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems. - Hossam Faris; Majdi M. Mafarja; Ali Asghar Heidari; Ibrahim Aljarah; Ala' M. Al-Zoubi; Seyedali Mirjalili; Hamido Fujita (Knowl. Based Syst., 2018)

Binary dragonfly optimization for feature selection using time-varying transfer functions. - Majdi M. Mafarja; Ibrahim Aljarah; Ali Asghar Heidari; Hossam Faris; Philippe Fournier-Viger; Xiaodong Li 001; Seyedali Mirjalili (Knowl. Based Syst., 2018)

Evolutionary Population Dynamics and Grasshopper Optimization approaches for feature selection problems. - Majdi M. Mafarja; Ibrahim Aljarah; Ali Asghar Heidari; Abdelaziz I. Hammouri; Hossam Faris; Ala' M. Al-Zoubi; Seyedali Mirjalili (Knowl. Based Syst., 2018)

Training radial basis function networks using biogeography-based optimizer. - Ibrahim Aljarah; Hossam Faris; Seyedali Mirjalili; Nailah Al-Madi (Neural Comput. Appl., 2018)

Grey wolf optimizer: a review of recent variants and applications. - Hossam Faris; Ibrahim Aljarah; Mohammed Azmi Al-Betar; Seyedali Mirjalili (Neural Comput. Appl., 2018)

A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture. - Hossam Faris; Mohammad A. Hassonah; Ala' M. Al-Zoubi; Seyedali Mirjalili; Ibrahim Aljarah (Neural Comput. Appl., 2018)

Optimizing connection weights in neural networks using the whale optimization algorithm. - Ibrahim Aljarah; Hossam Faris; Seyedali Mirjalili (Soft Comput., 2018)

Towards Automated Comprehensive Feature Engineering for Spam Detection. - Fred N. Kiwanuka; Ja'far Alqatawna; Anang Hudaya Muhamad Amin; Sujni Paul; Hossam Faris (ICISSP, 2019)

A binary multi-verse optimizer for 0-1 multidimensional knapsack problems with application in interactive multimedia systems. - Mohamed Abdel-Basset; Doaa El-Shahat; Hossam Faris; Seyedali Mirjalili (Comput. Ind. Eng., 2019)

Evolving neural networks using bird swarm algorithm for data classification and regression applications. - Ibrahim Aljarah; Hossam Faris; Seyedali Mirjalili; Nailah Al-Madi; Alaa F. Sheta; Majdi M. Mafarja (Clust. Comput., 2019)

Robotics Evolution: from Remote Brain to Cloud. - Alaa F. Sheta; Nazeeh Ghatasheh; Hossam Faris; Ali Rodan (CoRR, 2019)

Optimizing Software Effort Estimation Models Using Firefly Algorithm. - Nazeeh Ghatasheh; Hossam Faris; Ibrahim Aljarah; Rizik M. H. Al-Sayyed (CoRR, 2019)

Binary grasshopper optimisation algorithm approaches for feature selection problems. - Majdi M. Mafarja; Ibrahim Aljarah; Hossam Faris; Abdelaziz I. Hammouri; Ala' M. Al-Zoubi; Seyedali Mirjalili (Expert Syst. Appl., 2019)

Harris hawks optimization: Algorithm and applications. - Ali Asghar Heidari; Seyedali Mirjalili; Hossam Faris; Ibrahim Aljarah; Majdi M. Mafarja; Huiling Chen 001 (Future Gener. Comput. Syst., 2019)

Demystifying echo state network with deterministic simple topologies. - Duaa Elsarraj; Maha Al Qisi; Ali Rodan; Nadim Obeid; Ahmad Abdel-Aziz Sharieh; Hossam Faris (Int. J. Comput. Sci. Eng., 2019)

An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks. - Hossam Faris; Ala' M. Al-Zoubi; Ali Asghar Heidari; Ibrahim Aljarah; Majdi M. Mafarja; Mohammad A. Hassonah; Hamido Fujita (Inf. Fusion, 2019)

An evolutionary gravitational search-based feature selection. - Mohammad Taradeh; Majdi M. Mafarja; Ali Asghar Heidari; Hossam Faris; Ibrahim Aljarah; Seyedali Mirjalili; Hamido Fujita (Inf. Sci., 2019)

Binary multi-verse optimization algorithm for global optimization and discrete problems. - Nailah Al-Madi; Hossam Faris; Seyedali Mirjalili (Int. J. Mach. Learn. Cybern., 2019)

Metaheuristic-based extreme learning machines: a review of design formulations and applications. - Mohammed Eshtay; Hossam Faris; Nadim Obeid (Int. J. Mach. Learn. Cybern., 2019)

Automatic selection of hidden neurons and weights in neural networks using grey wolf optimizer based on a hybrid encoding scheme. - Hossam Faris; Seyedali Mirjalili; Ibrahim Aljarah (Int. J. Mach. Learn. Cybern., 2019)

Adaptive β-hill climbing for optimization. - Mohammed Azmi Al-Betar; Ibrahim Aljarah; Mohammed A. Awadallah 001; Hossam Faris; Seyedali Mirjalili (Soft Comput., 2019)

An efficient hybrid multilayer perceptron neural network with grasshopper optimization. - Ali Asghar Heidari; Hossam Faris; Ibrahim Aljarah; Seyedali Mirjalili (Soft Comput., 2019)

Multi-verse Optimizer: Theory, Literature Review, and Application in Data Clustering. - Ibrahim Aljarah; Majdi M. Mafarja; Ali Asghar Heidari; Hossam Faris; Seyedali Mirjalili (Nature-Inspired Optimizers, 2019)

Salp Swarm Algorithm: Theory, Literature Review, and Application in Extreme Learning Machines. - Hossam Faris; Seyedali Mirjalili; Ibrahim Aljarah; Majdi M. Mafarja; Ali Asghar Heidari (Nature-Inspired Optimizers, 2019)

Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Networks. - Ali Asghar Heidari; Hossam Faris; Seyedali Mirjalili; Ibrahim Aljarah; Majdi M. Mafarja (Nature-Inspired Optimizers, 2019)

Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection. - Majdi M. Mafarja; Ali Asghar Heidari; Hossam Faris; Seyedali Mirjalili; Ibrahim Aljarah (Nature-Inspired Optimizers, 2019)

Grey Wolf Optimizer: Theory, Literature Review, and Application in Computational Fluid Dynamics Problems. - Seyedali Mirjalili; Ibrahim Aljarah; Majdi M. Mafarja; Ali Asghar Heidari; Hossam Faris (Nature-Inspired Optimizers, 2019)

Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction. - Seyedali Mirjalili; Jin Song Dong; Ali Safa Sadiq; Hossam Faris (Nature-Inspired Optimizers, 2019)

EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python. - Raneem Qaddoura; Hossam Faris; Ibrahim Aljarah; Pedro A. Castillo (EvoApplications, 2020)

An Intelligent Approach for the Effect of Social Media on Undergraduate Students Performance: A Case Study in the University of Jordan. - Yazn Alshamaila; Maria Habib; Ibrahim Aljarah; Hamad I. Alsawalqah; Hossam Faris; Anas Ratib Alsoud (ICCTA, 2020)

Hate Speech Detection using Word Embedding and Deep Learning in the Arabic Language Context. - Hossam Faris; Ibrahim Aljarah; Maria Habib; Pedro A. Castillo (ICPRAM, 2020)

Empirical Evaluation of Distance Measures for Nearest Point with Indexing Ratio Clustering Algorithm. - Raneem Qaddoura; Hossam Faris; Ibrahim Aljarah; Juan Julián Merelo Guervós; Pedro A. Castillo (IJCCI, 2020)

Identifying Botnets by Analysing Twitter Traffic during the Super Bowl. - Salah Safi; Huthaifa Jawazneh; Antonio Miguel Mora; Pablo García-Sánchez; Hossam Faris; Pedro A. Castillo (IJCCI, 2020)

Sentiment Analysis for e-Payment Service Providers Using Evolutionary eXtreme Gradient Boosting. - Dana Al Qudah; Ala' M. Al-Zoubi; Pedro Ángel Castillo Valdivieso; Hossam Faris (IEEE Access, 2020)

MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems. - Mohammad H. Nadimi-Shahraki; Shokooh Taghian; Seyedali Mirjalili; Hossam Faris (Appl. Soft Comput., 2020)

Intelligent system based on data mining techniques for prediction of preterm birth for women with cervical cerclage. - Hasan Rawashdeh; Shatha Awawdeh; Fatima Shannag; Esraa Henawi; Hossam Faris; Nadim Obeid; Jon Hyett (Comput. Biol. Chem., 2020)

A dynamic locality multi-objective salp swarm algorithm for feature selection. - Ibrahim Aljarah; Maria Habib; Hossam Faris; Nailah Al-Madi; Ali Asghar Heidari; Majdi M. Mafarja; Mohamed E. Abd Elaziz; Seyedali Mirjalili (Comput. Ind. Eng., 2020)

Efficient Hybrid Nature-Inspired Binary Optimizers for Feature Selection. - Majdi M. Mafarja; Asma Qasem; Ali Asghar Heidari; Ibrahim Aljarah; Hossam Faris; Seyedali Mirjalili (Cogn. Comput., 2020)

Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application. - Zaher Mundher Yaseen; Hossam Faris; Nadhir Al-Ansari (Complex., 2020)

Relational Learning Analysis of Social Politics using Knowledge Graph Embedding. - Bilal Abu-Salih; Marwan Al-Tawil; Ibrahim Aljarah; Hossam Faris; Pornpit Wongthongtham (CoRR, 2020)

An evolutionary optimized artificial intelligence model for modeling scouring depth of submerged weir. - Sinan Q. Salih; Maria Habib; Ibrahim Aljarah; Hossam Faris; Zaher Mundher Yaseen (Eng. Appl. Artif. Intell., 2020)

A modified bond energy algorithm with fuzzy merging and its application to Arabic text document clustering. - Rana Husni AlMahmoud; Bassam Hammo; Hossam Faris (Expert Syst. Appl., 2020)

Time-varying hierarchical chains of salps with random weight networks for feature selection. - Hossam Faris; Ali Asghar Heidari; Ala' M. Al-Zoubi; Majdi M. Mafarja; Ibrahim Aljarah; Mohammed Eshtay; Seyedali Mirjalili (Expert Syst. Appl., 2020)

Augmented whale feature selection for IoT attacks: Structure, analysis and applications. - Majdi M. Mafarja; Ali Asghar Heidari; Maria Habib; Hossam Faris; Thaer Thaher; Ibrahim Aljarah (Future Gener. Comput. Syst., 2020)

Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection. - Amaal R. Al Shorman; Hossam Faris; Ibrahim Aljarah (J. Ambient Intell. Humaniz. Comput., 2020)

Medical speciality classification system based on binary particle swarms and ensemble of one vs. rest support vector machines. - Hossam Faris; Maria Habib; Mohammad Faris; Manal Alomari; Alaa Alomari (J. Biomed. Informatics, 2020)

Clustering analysis using a novel locality-informed grey wolf-inspired clustering approach. - Ibrahim Aljarah; Majdi M. Mafarja; Ali Asghar Heidari; Hossam Faris; Seyedali Mirjalili (Knowl. Inf. Syst., 2020)

An efficient hybrid filter and evolutionary wrapper approach for sentiment analysis of various topics on Twitter. - Mohammad A. Hassonah; Rizik M. H. Al-Sayyed; Ali Rodan; Ala' M. Al-Zoubi; Ibrahim Aljarah; Hossam Faris (Knowl. Based Syst., 2020)

A competitive swarm optimizer with hybrid encoding for simultaneously optimizing the weights and structure of Extreme Learning Machines for classification problems. - Mohammed Eshtay; Hossam Faris; Nadim Obeid (Int. J. Mach. Learn. Cybern., 2020)

An efficient clustering algorithm based on the k-nearest neighbors with an indexing ratio. - Raneem Qaddoura; Hossam Faris; Ibrahim Aljarah (Int. J. Mach. Learn. Cybern., 2020)

Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification. - Hamouda Chantar 001; Majdi M. Mafarja; Hamad I. Alsawalqah; Ali Asghar Heidari; Ibrahim Aljarah; Hossam Faris (Neural Comput. Appl., 2020)

An enhanced associative learning-based exploratory whale optimizer for global optimization. - Ali Asghar Heidari; Ibrahim Aljarah; Hossam Faris; Huiling Chen 001; Jie Luo 002; Seyedali Mirjalili (Neural Comput. Appl., 2020)

Improving financial bankruptcy prediction in a highly imbalanced class distribution using oversampling and ensemble learning: a case from the Spanish market. - Hossam Faris; Ruba Abukhurma; Waref Almanaseer; Mohammed Saadeh; Antonio Mora García; Pedro A. Castillo; Ibrahim Aljarah (Prog. Artif. Intell., 2020)

Cost-sensitive ensemble methods for bankruptcy prediction in a highly imbalanced data distribution: a real case from the Spanish market. - Nazeeh Ghatasheh; Hossam Faris; Ruba Abukhurma; Pedro A. Castillo; Nailah Al-Madi; Antonio Miguel Mora; Ala' M. Al-Zoubi; Ahmad Basheer Hassanat (Prog. Artif. Intell., 2020)

Predicting Different Types of Imbalanced Intrusion Activities Based on a Multi-Stage Deep Learning Approach. - Raneem Qaddoura; Ala' M. Al-Zoubi; Iman M. Almomani; Hossam Faris (ICIT, 2021)

A Robust Multi-Objective Feature Selection Model Based on Local Neighborhood Multi-Verse Optimization. - Ibrahim Aljarah; Hossam Faris; Ali Asghar Heidari; Majdi M. Mafarja; Ala' M. Al-Zoubi; Pedro A. Castillo; Juan Julián Merelo Guervós (IEEE Access, 2021)

Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data. - Iman M. Almomani; Raneem Qaddoura; Maria Habib; Samah Alsoghyer; Aala Al Khayer; Ibrahim Aljarah; Hossam Faris (IEEE Access, 2021)

Total Dissolved Salt Prediction Using Neurocomputing Models: Case Study of Gypsum Soil Within Iraq Region. - Neeraj Dhanraj Bokde; Zainab Hasan Ali; Maysam Th. Al-Hadidi; Aitazaz A. Farooque; Mehdi Jamei; Ali Abdulridha Al Maliki; Beste Hamiye Beyaztas; Hossam Faris; Zaher Mundher Yaseen (IEEE Access, 2021)

AltibbiVec: A Word Embedding Model for Medical and Health Applications in the Arabic Language. - Maria Habib; Mohammad Faris; Alaa Alomari; Hossam Faris (IEEE Access, 2021)

A Predictive Text System for Medical Recommendations in Telemedicine: A Deep Learning Approach in the Arabic Context. - Maria Habib; Mohammad Faris; Raneem Qaddoura; Alaa Alomari; Hossam Faris (IEEE Access, 2021)

Teaching Learning-Based Optimization With Evolutionary Binarization Schemes for Tackling Feature Selection Problems. - Thaer Thaher; Majdi M. Mafarja; Hamza Turabieh; Pedro A. Castillo; Hossam Faris; Ibrahim Aljarah (IEEE Access, 2021)

Relational Learning Analysis of Social Politics using Knowledge Graph Embedding. - Bilal Abu-Salih; Marwan Al-Tawil; Ibrahim Aljarah; Hossam Faris; Pornpit Wongthongtham; Kit Yan Chan; Amin Beheshti (Data Min. Knowl. Discov., 2021)

A parallel metaheuristic approach for ensemble feature selection based on multi-core architectures. - Neveen Mohammed Hijazi 001; Hossam Faris; Ibrahim Aljarah (Expert Syst. Appl., 2021)

An intelligent evolutionary extreme gradient boosting algorithm development for modeling scour depths under submerged weir. - Hai Tao; Maria Habib; Ibrahim Aljarah; Hossam Faris; Haitham Abdulmohsin Afan; Zaher Mundher Yaseen (Inf. Sci., 2021)

Android botnet detection using machine learning models based on a comprehensive static analysis approach. - Wadi' Hijawi; Ja'far Alqatawna; Ala' M. Al-Zoubi; Mohammad A. Hassonah; Hossam Faris (J. Inf. Secur. Appl., 2021)

An efficient evolutionary algorithm with a nearest neighbor search technique for clustering analysis. - Raneem Qaddoura; Hossam Faris; Ibrahim Aljarah (J. Ambient Intell. Humaniz. Comput., 2021)

A cooperative coevolutionary method for optimizing random weight networks and its application for medical classification problems. - Enas F. Rawashdeh; Ibrahim Aljarah; Hossam Faris (J. Ambient Intell. Humaniz. Comput., 2021)

Spam profiles detection on social networks using computational intelligence methods: The effect of the lingual context. - Ala' M. Al-Zoubi; Ja'far Alqatawna; Hossam Faris; Mohammad A. Hassonah (J. Inf. Sci., 2021)

Intelligent detection of hate speech in Arabic social network: A machine learning approach. - Ibrahim Aljarah; Maria Habib; Neveen Mohammed Hijazi 001; Hossam Faris; Raneem Qaddoura; Bassam Hammo; Mohammad Abd-Alrahman Mahmoud Abushariah; Mohammad Alfawareh (J. Inf. Sci., 2021)

Oriented stochastic loss descent algorithm to train very deep multi-layer neural networks without vanishing gradients. - Inas Abuqaddom; Basel A. Mahafzah; Hossam Faris (Knowl. Based Syst., 2021)

AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents. - Mohammed Eshtay; Hossam Faris; Ali Asghar Heidari; Ala' M. Al-Zoubi; Ibrahim Aljarah (Neural Comput. Appl., 2021)

Toward an Automatic Quality Assessment of Voice-Based Telemedicine Consultations: A Deep Learning Approach. - Maria Habib; Mohammad Faris; Raneem Qaddoura; Manal Alomari; Alaa Alomari; Hossam Faris (Sensors, 2021)

A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning. - Raneem Qaddoura; Ala' M. Al-Zoubi; Hossam Faris; Iman M. Almomani (Sensors, 2021)

EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework. - Raneem Qaddoura; Hossam Faris; Ibrahim Aljarah; Pedro A. Castillo (SN Comput. Sci., 2021)

Evolutionary competitive swarm exploring optimal support vector machines and feature weighting. - Ala' M. Al-Zoubi; Mohammad A. Hassonah; Ali Asghar Heidari; Hossam Faris; Majdi M. Mafarja; Ibrahim Aljarah (Soft Comput., 2021)

Correction to: Evolutionary competitive swarm exploring optimal support vector machines and feature weighting. - Ala' M. Al-Zoubi; Mohammad A. Hassonah; Ali Asghar Heidari; Hossam Faris; Majdi M. Mafarja; Ibrahim Aljarah (Soft Comput., 2021)

Prediction of Hysteresis Loop of Barium Hexaferrite Nanoparticles Based on Neuroevolutionary Models. - Lina Alhmoud; Abdul Raouf Al Dairy; Hossam Faris; Ibrahim Aljarah (Symmetry, 2021)

EvoCC: An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python. - Anh T. Dang; Raneem Qaddoura; Ala' M. Al-Zoubi; Hossam Faris; Pedro A. Castillo (EvoApplications, 2022)

Sentiment Analysis of Customers' Reviews Using a Hybrid Evolutionary SVM-Based Approach in an Imbalanced Data Distribution. - Ruba Obiedat; Raneem Qaddoura; Ala' M. Al-Zoubi; Laila Al Qaisi; Osama Harfoushi; Mo'ath Alrefai; Hossam Faris (IEEE Access, 2022)

Offensive Language Detection in Arabic Social Networks Using Evolutionary-Based Classifiers Learned From Fine-Tuned Embeddings. - Fatima Shannaq; Bassam Hammo; Hossam Faris; Pedro Ángel Castillo Valdivieso (IEEE Access, 2022)

The design, construction and evaluation of annotated Arabic cyberbullying corpus. - Fatima Shannag; Bassam H. Hammo; Hossam Faris (Educ. Inf. Technol., 2022)

Evolutionary inspired approach for mental stress detection using EEG signal. - Lakhan Dev Sharma; Vijay Kumar Bohat; Maria Habib; Ala' M. Al-Zoubi; Hossam Faris; Ibrahim Aljarah (Expert Syst. Appl., 2022)

Classification of Arabic healthcare questions based on word embeddings learned from massive consultations: a deep learning approach. - Hossam Faris; Maria Habib; Mohammad Faris; Alaa Alomari; Pedro A. Castillo; Manal Alomari (J. Ambient Intell. Humaniz. Comput., 2022)

Neuro-evolutionary models for imbalanced classification problems. - Israa Al-Badarneh; Maria Habib; Ibrahim Aljarah; Hossam Faris (J. King Saud Univ. Comput. Inf. Sci., 2022)

EvoImputer: An evolutionary approach for Missing Data Imputation and feature selection in the context of supervised learning. - Shatha Awawdeh; Hossam Faris; Hazem Hiary (Knowl. Based Syst., 2022)

A Metaheuristic Approach for Life Expectancy Prediction based on Automatically Fine-tuned Models with Feature Selection. - Raneem Qaddoura; Mariam M. Biltawi; Hossam Faris (AIBThings, 2023)

Optimizing Feature Selection and Oversampling Using Metaheuristic Algorithms for Binary Fraud Detection Classification. - Mariam M. Biltawi; Raneem Qaddoura; Hossam Faris (AIAI (1), 2023)

A Multilingual Spam Reviews Detection Based on Pre-Trained Word Embedding and Weighted Swarm Support Vector Machines. - Ala' M. Al-Zoubi; Antonio M. Mora; Hossam Faris (IEEE Access, 2023)

Specialty detection in the context of telemedicine in a highly imbalanced multi-class distribution. - Alaa Alomari; Hossam Faris; Pedro A. Castillo (CoRR, 2024)

Evolving Genetic Programming Tree Models for Predicting the Mechanical Properties of Green Fibers for Better Biocomposite Materials. - Faris M. Al-Oqla; Hossam Faris; Maria Habib; Pedro Ángel Castillo Valdivieso (CoRR, 2024)

Cluster-based ensemble learning model for improving sentiment classification of Arabic documents. - Rana Husni Al Mahmoud; Bassam H. Hammo; Hossam Faris (Nat. Lang. Eng., 2024)

An automatic prediction of students' performance to support the university education system: a deep learning approach. - Yazn Alshamaila; Hamad I. Alsawalqah; Ibrahim Aljarah; Maria Habib; Hossam Faris; Mohammad Alshraideh; Bilal Abu-Salih (Multim. Tools Appl., 2024)

Evolving random weight neural networks based on oversampled-segmented examples for IoT intrusion detection. - Raneem Qaddoura; Hossam Faris (J. Supercomput., 2024)

Addressing Class Imbalance in Arabic Medical Questions using Ensembles and SMOTE. - Bushra Al-Smadi; Bassam H. Hammo; Hossam Faris (ICIT, 2025)

A hybrid TwinSVM-HHO model for multilingual spam review detection using sentiment features and pre-trained embeddings. - Ala' M. Al-Zoubi; Antonio M. Mora; Hossam Faris; Raneem Qaddoura (Expert Syst. Appl., 2025)

GrafoRVFL: A gradient-free optimization framework for boosting random vector functional link network. - Nguyen Van Thieu; Nguyen Thanh Hoang; Hossam Faris (Neurocomputing, 2025)

Prediction of sentiment polarity in restaurant reviews using an ordinal regression approach based on evolutionary XGBoost. - Dana Al Qudah; Ala' M. Al-Zoubi; Alexandra I. Cristea; Juan Julián Merelo Guervós; Pedro A. Castillo; Hossam Faris (PeerJ Comput. Sci., 2025)