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Mohammed Ghaith Altarabichi
Mohammed Ghaith Altarabichi
Postdoc, Center for Applied Intelligent Systems Research, Halmstad University
Verified email at hh.se
Title
Cited by
Cited by
Year
Fast Genetic Algorithm for feature selection—A qualitative approximation approach
MG Altarabichi, S Nowaczyk, S Pashami, P Sheikholharam Mashhadi
Proceedings of the companion conference on genetic and evolutionary …, 2023
562023
Surrogate-assisted genetic algorithm for wrapper feature selection
MG Altarabichi, S Nowaczyk, S Pashami, PS Mashhadi
2021 IEEE congress on evolutionary computation (CEC), 776-785, 2021
142021
Extracting invariant features for predicting state of health of batteries in hybrid energy buses
MG Altarabichi, Y Fan, S Pashami, PS Mashhadi, S Nowaczyk
2021 ieee 8th international conference on data science and advanced …, 2021
92021
Dropkan: Regularizing kans by masking post-activations
MG Altarabichi
arXiv preprint arXiv:2407.13044, 2024
82024
Stacking ensembles of heterogenous classifiers for fault detection in evolving environments
MG Altarabichi, P Mashhadi, Y Fan, S Pashami, S Nowaczyk, P Moral, ...
30th european safety and reliability conference, esrel 2020 and 15th …, 2020
82020
A vision-based indoor navigation system for individuals with visual impairment
MU Ahmed, MG Altarabichi, S Begum, F Ginsberg, R Glaes, M Östgren, ...
International Journal of Artificial Intelligence 17 (2), 188-201, 2019
52019
Rolling the Dice for Better Deep Learning Performance: A Study of Randomness Techniques in Deep Neural Networks
MG Altarabichi, S Nowaczyk, S Pashami, P Sheikholharam Mashhadi, ...
Information Sciences, 2024
42024
Reaction time variability association with safe driving indexes
MG Altarabichi, MU Ahmed, S Begum, MR Ciceri, S Balzarotti, F Biassoni, ...
Proceedings of 8th Transport Research Arena, 2020
4*2020
Rethinking the function of neurons in kans
MG Altarabichi
arXiv preprint arXiv:2407.20667, 2024
32024
Predicting state of health and end of life for batteries in hybrid energy buses
MG Altarabichi, Y Fan, S Pashami, S Nowaczyk, T Rögnvaldsson
30th European Safety and Reliability Conference, ESREL 2020 and 15th …, 2020
32020
Improving Concordance Index in Regression-based Survival Analysis: Evolutionary Discovery of Loss Function for Neural Networks
MG Altarabichi, A Alabdallah, S Pashami, T Rögnvaldsson, S Nowaczyk, ...
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024
1*2024
Evolving intelligence: Overcoming challenges for Evolutionary Deep Learning
MG Altarabichi
Halmstad University Press, 2024
12024
A Review of Randomness Techniques in Deep Neural Networks
MG Altarabichi, S Nowaczyk, S Pashami, P Sheikholharam Mashhadi, ...
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024
2024
Invariant Feature Selection for Battery State of Health Estimation in Heterogeneous Hybrid Electric Bus Fleets
Y Fan, MG Altarabichi, S Pashami, PS Mashhadi, S Nowaczyk
CEUR Workshop Proceedings 3765, 2024
2024
Supervised Learning for Road Junctions Identification using IMU
MG Altarabichi, MU Ahmed, S Begum
First International Conference on Advances in Signal Processing and …, 2019
2019
Predictive maintenance research at CAISR
T Rögnvaldsson, P Mashhadi, Y Fan, M Rahat, SP Bouguelia, ...
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