A formal study of classification techniques on entity discovery and their application to opinion mining. - Shadi Banitaan; Saeed Salem; Wei Jin 006; Ibrahim Aljarah (SMUC@CIKM, 2010)

CLARM: an integrative approach for functional modules discovery. - Saeed Salem; Loqmane Seridi; Rami Alroobi; James E. Brewer; Shadi Banitaan; Ibrahim Aljarah (BCB, 2011)

Discovering Communities in Social Networks Using Topology and Attributes. - Saeed Salem; Shadi Banitaan; Ibrahim Aljarah; James E. Brewer; Rami Alroobi (ICMLA (1), 2011)

Selecting discriminating terms for bug assignment: a formal analysis. - Ibrahim Aljarah; Shadi Banitaan; Sameer Abufardeh; Wei Jin 006; Saeed Salem (PROMISE, 2011)

Parallel particle swarm optimization clustering algorithm based on MapReduce methodology. - Ibrahim Aljarah; Simone A. Ludwig (NaBIC, 2012)

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

MapReduce intrusion detection system based on a particle swarm optimization clustering algorithm. - Ibrahim Aljarah; Simone A. Ludwig (IEEE Congress on Evolutionary Computation, 2013)

A new clustering approach based on Glowworm Swarm Optimization. - Ibrahim Aljarah; Simone A. Ludwig (IEEE Congress on Evolutionary Computation, 2013)

Towards a scalable intrusion detection system based on parallel PSO clustering using mapreduce. - Ibrahim Aljarah; Simone A. Ludwig (GECCO (Companion), 2013)

A MapReduce based glowworm swarm optimization approach for multimodal functions. - Ibrahim Aljarah; Simone A. Ludwig (SIS, 2013)

Parallel glowworm swarm optimization clustering algorithm based on MapReduce. - Nailah Al-Madi; Ibrahim Aljarah; Simone A. Ludwig (SIS, 2014)

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 Scalable MapReduce-enabled Glowworm Swarm Optimization Approach for High Dimensional Multimodal Functions. - Ibrahim Aljarah; Simone A. Ludwig (Int. J. Swarm Intell. Res., 2016)

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

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

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)

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)

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)

Improved whale optimization algorithm for feature selection in Arabic sentiment analysis. - Mohammad Tubishat; Mohammad A. M. Abushariah; Norisma Idris; Ibrahim Aljarah (Appl. Intell., 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)

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)

An Investigation of Microsoft Azure and Amazon Web Services from Users' Perspectives. - Rizik M. H. Al-Sayyed; Wadi' Hijawi; Anwar M. Bashiti; Ibrahim Aljarah; Nadim Obeid; Omar Y. A. Al-Adwan (Int. J. Emerg. Technol. Learn., 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)

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)

Rank Based Moth Flame optimisation for Feature Selection in the Medical Application. - Ruba Abu Khurma; Ibrahim Aljarah; Ahmad Sharieh (CEC, 2020)

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)

An Efficient Moth Flame Optimization Algorithm using Chaotic Maps for Feature Selection in the Medical Applications. - Ruba Abu Khurma; Ibrahim Aljarah; Ahmad Sharieh (ICPRAM, 2020)

Feature Selection using Binary Moth Flame Optimization with Time Varying Flames Strategies. - Ruba Abu Khurma; Pedro A. Castillo; Ahmad Sharieh; Ibrahim Aljarah (IJCCI, 2020)

New Fitness Functions in Binary Harris Hawks Optimization for Gene Selection in Microarray Datasets. - Ruba Abu Khurma; Pedro A. Castillo; Ahmad Sharieh; Ibrahim Aljarah (IJCCI, 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)

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)

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)

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)

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)

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)

Salp Swarm Optimization Search Based Feature Selection for Enhanced Phishing Websites Detection. - Ruba Abu Khurma; Khair Eddin Sabri; Pedro A. Castillo; Ibrahim Aljarah (EvoApplications, 2021)

Harris Hawks Optimization: A Formal Analysis of Its Variants and Applications. - Ruba Abu Khurma; Ibrahim Aljarah; Pedro A. Castillo (IJCCI, 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)

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)

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)

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)

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)

An intelligent feature selection approach based on moth flame optimization for medical diagnosis. - Ruba Abu Khurma; Ibrahim Aljarah; Ahmad Sharieh (Neural Comput. Appl., 2021)

A Real-Time Electrical Load Forecasting in Jordan Using an Enhanced Evolutionary Feedforward Neural Network. - Lina Alhmoud; Ruba Abu Khurma; Ala' M. Al-Zoubi; Ibrahim Aljarah (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)

An Evolutionary Fake News Detection Method for COVID-19 Pandemic Information. - Bilal Al-Ahmad; Ala' M. Al-Zoubi; Ruba Abu Khurma; Ibrahim Aljarah (Symmetry, 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)

IoT Botnet Detection Using Salp Swarm and Ant Lion Hybrid Optimization Model. - Ruba Abu Khurma; Iman M. Almomani; Ibrahim Aljarah (Symmetry, 2021)

An Enhanced Opposition-Based Evolutionary Feature Selection Approach. - Ruba Abu Khurma; Ibrahim Aljarah; Pedro A. Castillo; Khair Eddin Sabri (EvoApplications, 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)

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

Swarm intelligence-based model for improving prediction performance of low-expectation teams in educational software engineering projects. - Bilal I. Al-Ahmad; Ala' A. Al-Zoubi; Md Faisal Kabir 001; Marwan Al-Tawil; Ibrahim Aljarah (PeerJ Comput. Sci., 2022)

Meta-Heuristic Guided Feature Optimization for Enhanced Authorship Attribution in Java Source Code. - Bilal Al-Ahmad; Nailah Al-Madi; Abdullah Alzaqebah; Rami S. Alkhawaldeh; Khaled Aldebei; Md Faisal Kabir 001; Ismail Al-Taharwa; Mua'ad Abu-Faraj; Ibrahim Aljarah (IEEE Access, 2023)

A hierarchical intrusion detection system based on extreme learning machine and nature-inspired optimization. - Abdullah Alzaqebah; Ibrahim Aljarah; Omar S. Al-Kadi (Comput. Secur., 2023)

Bio-Inspired Machine Learning Approach to Type 2 Diabetes Detection. - Marwan Al-Tawil; Basel A. Mahafzah; Arar Al Tawil; Ibrahim Aljarah (Symmetry, 2023)

An enhanced Harris hawk optimizer based on extreme learning machine for feature selection. - Abdullah Alzaqebah; Omar S. Al-Kadi; Ibrahim Aljarah (Prog. Artif. Intell., 2023)

An intelligent system for multi-topic social spam detection in microblogging. - Bilal Abu-Salih; Dana Al Qudah; Malak Al-Hassan; Seyed Mohssen Ghafari; Tomayess Issa; Ibrahim Aljarah; Amin Beheshti; Sulaiman Alqahtani (J. Inf. Sci., 2024)

A Convolutional Deep Neural Network Approach to Predict Autism Spectrum Disorder Based on Eye-Tracking Scan Paths. - May Alsaidi; Nadim Obeid; Nailah Al-Madi; Hazem Hiary; Ibrahim Aljarah (Inf., 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)