Adaptive genetic programming applied to classification in data mining. - Nailah Al-Madi; Simone A. Ludwig (NaBIC, 2012)

Improving genetic programming classification for binary and multiclass datasets. - Nailah Al-Madi; Simone A. Ludwig (CIDM, 2013)

Segment-based genetic programming. - Nailah Al-Madi; Simone A. Ludwig (GECCO (Companion), 2013)

Scaling Genetic Programming for data classification using MapReduce methodology. - Nailah Al-Madi; Simone A. Ludwig (NaBIC, 2013)

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

Mike Preuss: Multimodal optimization by means of evolutionary algorithms - Springer, 2015, 175 pp, ISBN: 978-3-319-07407-8. - Nailah Al-Madi (Genet. Program. Evolvable Mach., 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)

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)

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

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)

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

Machine Learning Approaches for COVID-19 Forecasting. - Othman Istaiteh; Tala Owais; Nailah Al-Madi; Saleh Abu-Soud (IDSTA, 2020)

Predicting Students Performance in Online Courses using Classification Techniques. - Eman Al Nagi; Nailah Al-Madi (IDSTA, 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)

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)

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 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)

A robust classification approach to enhance clinic identification from Arabic health text. - Shrouq Al-Fuqaha'a; Nailah Al-Madi; Bassam Hammo (Neural Comput. Appl., 2024)

An intelligent approach for autism spectrum disorder diagnosis and rehabilitation features identification. - Rawan Ghnemat; Nailah Al-Madi; Mohammad Awad (Neural Comput. Appl., 2025)