Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection. - Mohammed Ghaith Altarabichi; Slawomir Nowaczyk; Sepideh Pashami; Peyman Sheikholharam Mashhadi (CEC, 2021)

Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses. - Mohammed Ghaith Altarabichi; Yuantao Fan; Sepideh Pashami; Peyman Sheikholharam Mashhadi; Slawomir Nowaczyk (DSAA, 2021)

Fast Genetic Algorithm for feature selection - A qualitative approximation approach. - Mohammed Ghaith Altarabichi; Slawomir Nowaczyk; Sepideh Pashami; Peyman Sheikholharam Mashhadi (Expert Syst. Appl., 2023)

Improving Concordance Index in Regression-based Survival Analysis: Evolutionary Discovery of Loss Function for Neural Networks. - Mohammed Ghaith Altarabichi; Abdallah Alabdallah; Sepideh Pashami; Thorsteinn S. Rögnvaldsson; Slawomir Nowaczyk; Mattias Ohlsson (GECCO Companion, 2024)

A Review of Randomness Techniques in Deep Neural Networks. - Mohammed Ghaith Altarabichi; Slawomir Nowaczyk; Sepideh Pashami; Peyman Sheikholharam Mashhadi; Julia Handl (GECCO Companion, 2024)

Invariant Feature Selection for Battery State of Health Estimation in Heterogeneous Hybrid Electric Bus Fleets. - Yuantao Fan; Mohammed Ghaith Altarabichi; Sepideh Pashami; Peyman Sheikholharam Mashhadi; Slawomir Nowaczyk (HAII5.0@ECAI, 2024)

DropKAN: Regularizing KANs by masking post-activations. - Mohammed Ghaith Altarabichi (CoRR, 2024)

Rethinking the Function of Neurons in KANs. - Mohammed Ghaith Altarabichi (CoRR, 2024)

Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks. - Mohammed Ghaith Altarabichi; Slawomir Nowaczyk; Sepideh Pashami; Peyman Sheikholharam Mashhadi; Julia Handl (Inf. Sci., 2024)

Evolving intelligence: Overcoming challenges for Evolutionary Deep Learning. - Mohammed Ghaith Altarabichi (2024)