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

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)

Dental radiography segmentation using expectation-maximization clustering and grasshopper optimizer. - Raneem Qaddoura; Waref Al Manaseer; Mohammad A. M. Abushariah; Mohammad Aref Alshraideh (Multim. Tools Appl., 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)

Predicting Traffic Characteristics of Real Road Scenarios in Jordan and Gulf Region. - Raneem Qaddoura; Maram Bani Younes; Azzedine Boukerche (Q2SWinet, 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)

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)

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)

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)

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)

An Intelligent Hybrid Sentiment Analyzer for Personal Protective Medical Equipments Based on Word Embedding Technique: The COVID-19 Era. - Ruba Obiedat; Laila Al Qaisi; Raneem Qaddoura; Osama Harfoushi; Ala' M. Al-Zoubi (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)

Machine Learning Based Prediction with Parameters Tuning of Multi-Label Real Road Vehicles Characteristics. - Raneem Qaddoura; Maram Bani Younes; Azzedine Boukerche (PE-WASUN, 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)

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)

The development of a road network flood risk detection model using optimised ensemble learning. - Bilal Abu-Salih; Pornpit Wongthongtham; Kevin Coutinho; Raneem Qaddoura; Omar Alshaweesh; Mohammad O. Wedyan (Eng. Appl. Artif. Intell., 2023)

Deep neural networks in the cloud: Review, applications, challenges and research directions. - Kit Yan Chan; Bilal Abu-Salih; Raneem Qaddoura; Ala' M. Al-Zoubi; Vasile Palade; Duc-Son Pham 001; Javier Del Ser; Khan Muhammad 001 (Neurocomputing, 2023)

A multi-strategy enhanced African vultures optimization algorithm for global optimization problems. - Rong Zheng; Abdelazim G. Hussien; Raneem Qaddoura; Heming Jia; Laith Abualigah; Shuang Wang 013; Abeer Saber (J. Comput. Des. Eng., 2023)

Temporal prediction of traffic characteristics on real road scenarios in Amman. - Raneem Qaddoura; Maram Bani Younes (J. Ambient Intell. Humaniz. Comput., 2023)

A new approach for solving global optimization and engineering problems based on modified sea horse optimizer. - Fatma A. Hashim; Reham R. Mostafa; Ruba Abu Khurma; Raneem Qaddoura; Pedro A. Castillo (J. Comput. Des. Eng., 2023)

Towards optimal tuned machine learning techniques based vehicular traffic prediction for real roads scenarios. - Raneem Qaddoura; Maram Bani Younes; Azzedine Boukerche (Ad Hoc Networks, 2024)

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

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)