Nailah Al-Madi

21 papers C 2Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
AD-Loc: Robust Localization in IoT Using ANN and DBSCAN.
IEEE Access
Alaa M. Altarazi, Nailah Al-Madi, Fahed Awad
2025 J jnl
An intelligent approach for autism spectrum disorder diagnosis and rehabilitation features identification.
Neural Comput. Appl.
Rawan Ghnemat, Nailah Al-Madi, Mohammad Awad
2025 J jnl
mDA: Evolutionary Machine Learning Algorithm for Feature Selection in Medical Domain.
Comput.
Ibrahim Aljarah, Abdullah Alzaqebah, Nailah Al-Madi, Ala' M. Al-Zoubi, Amro Saleh
2024 J jnl
A Convolutional Deep Neural Network Approach to Predict Autism Spectrum Disorder Based on Eye-Tracking Scan Paths.
Inf.
May Alsaidi, Nadim Obeid, Nailah Al-Madi, Hazem Hiary, Ibrahim Aljarah
2024 J jnl
A robust classification approach to enhance clinic identification from Arabic health text.
Neural Comput. Appl.
Shrouq Al-Fuqaha'a, Nailah Al-Madi, Bassam Hammo
2023 J jnl
Meta-Heuristic Guided Feature Optimization for Enhanced Authorship Attribution in Java Source Code.
IEEE Access
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
2020 J jnl
A dynamic locality multi-objective salp swarm algorithm for feature selection.
Comput. Ind. Eng.
Ibrahim Aljarah, Maria Habib, Hossam Faris, Nailah Al-Madi, Ali Asghar Heidari, Majdi M. Mafarja, Mohamed E. Abd Elaziz, Seyedali Mirjalili
2020 J jnl
Cost-sensitive ensemble methods for bankruptcy prediction in a highly imbalanced data distribution: a real case from the Spanish market.
Prog. Artif. Intell.
Nazeeh Ghatasheh, Hossam Faris, Ruba Abukhurma, Pedro A. Castillo, Nailah Al-Madi, Antonio Miguel Mora, Ala' M. Al-Zoubi, Ahmad Basheer Hassanat
2020 — conf
Machine Learning Approaches for COVID-19 Forecasting.
IDSTA
Othman Istaiteh, Tala Owais, Nailah Al-Madi, Saleh Abu-Soud
2020 — conf
Predicting Students Performance in Online Courses using Classification Techniques.
IDSTA
Eman Al Nagi, Nailah Al-Madi
2019 J jnl
Binary multi-verse optimization algorithm for global optimization and discrete problems.
Int. J. Mach. Learn. Cybern.
Nailah Al-Madi, Hossam Faris, Seyedali Mirjalili
2019 J jnl
Evolving neural networks using bird swarm algorithm for data classification and regression applications.
Clust. Comput.
Ibrahim Aljarah, Hossam Faris, Seyedali Mirjalili, Nailah Al-Madi, Alaa F. Sheta, Majdi M. Mafarja
2018 C conf
The Influence of Input Data Standardization Methods on the Prediction Accuracy of Genetic Programming Generated Classifiers.
IJCCI
Amaal R. Al Shorman, Hossam Faris, Pedro A. Castillo, Juan Julián Merelo Guervós, Nailah Al-Madi
2018 J jnl
Training radial basis function networks using biogeography-based optimizer.
Neural Comput. Appl.
Ibrahim Aljarah, Hossam Faris, Seyedali Mirjalili, Nailah Al-Madi
2016 J jnl
Mike Preuss: Multimodal optimization by means of evolutionary algorithms - Springer, 2015, 175 pp, ISBN: 978-3-319-07407-8.
Genet. Program. Evolvable Mach.
Nailah Al-Madi
2016 J jnl
Optimizing the Learning Process of Feedforward Neural Networks Using Lightning Search Algorithm.
Int. J. Artif. Intell. Tools
Hossam Faris, Ibrahim Aljarah, Nailah Al-Madi, Seyedali Mirjalili
2014 — conf
Parallel glowworm swarm optimization clustering algorithm based on MapReduce.
SIS
Nailah Al-Madi, Ibrahim Aljarah, Simone A. Ludwig
2013 C conf
Improving genetic programming classification for binary and multiclass datasets.
CIDM
Nailah Al-Madi, Simone A. Ludwig
2013 — conf
Scaling Genetic Programming for data classification using MapReduce methodology.
NaBIC
Nailah Al-Madi, Simone A. Ludwig
2013 — conf
Segment-based genetic programming.
GECCO (Companion)
Nailah Al-Madi, Simone A. Ludwig
2012 — conf
Adaptive genetic programming applied to classification in data mining.
NaBIC
Nailah Al-Madi, Simone A. Ludwig