Mohammed Ghaith Altarabichi

Orcid: 0000-0002-6040-2269

According to our database1, Mohammed Ghaith Altarabichi authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks.
Inf. Sci., 2024

Rethinking the Function of Neurons in KANs.
CoRR, 2024

DropKAN: Regularizing KANs by masking post-activations.
CoRR, 2024

Invariant Feature Selection for Battery State of Health Estimation in Heterogeneous Hybrid Electric Bus Fleets.
Proceedings of Workshop on Embracing Human-Aware AI in Industry 5.0 (HAII5.0 2024) co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

A Review of Randomness Techniques in Deep Neural Networks.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Improving Concordance Index in Regression-based Survival Analysis: Evolutionary Discovery of Loss Function for Neural Networks.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
Fast Genetic Algorithm for feature selection - A qualitative approximation approach.
Expert Syst. Appl., 2023

2021
Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021


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