Nailah Al-Madi

According to our database, Nailah Al-Madi authored at least 18 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., May, 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., March, 2024

2023

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, Ismail Al-Taharwa, Mua'ad Abu-Faraj, Ibrahim Aljarah

IEEE Access, 2023

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

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

Predicting Students Performance in Online Courses using Classification Techniques.

Eman Al Nagi, Nailah Al-Madi

Proceedings of the International Conference on Intelligent Data Science Technologies and Applications, 2020

Machine Learning Approaches for COVID-19 Forecasting.

Othman Istaiteh, Tala Owais, Nailah Al-Madi, Saleh Abu-Soud

Proceedings of the International Conference on Intelligent Data Science Technologies and Applications, 2020

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

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

2018

Training radial basis function networks using biogeography-based optimizer.

Ibrahim Aljarah, Hossam Faris, Seyedali Mirjalili, Nailah Al-Madi

Neural Comput. Appl., 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

Proceedings of the 10th International Joint Conference on Computational Intelligence, 2018

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

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

2014

Parallel glowworm swarm optimization clustering algorithm based on MapReduce.

Nailah Al-Madi, Ibrahim Aljarah, Simone A. Ludwig

Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

2013

Scaling Genetic Programming for data classification using MapReduce methodology.

Nailah Al-Madi, Simone A. Ludwig

Proceedings of the Fifth World Congress on Nature and Biologically Inspired Computing, 2013

Segment-based genetic programming.

Nailah Al-Madi, Simone A. Ludwig

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Improving genetic programming classification for binary and multiclass datasets.

Nailah Al-Madi, Simone A. Ludwig

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012

Adaptive genetic programming applied to classification in data mining.

Nailah Al-Madi, Simone A. Ludwig

Proceedings of the Fourth World Congress on Nature and Biologically Inspired Computing, 2012