Tarek Khater

Orcid: 0009-0001-5759-2057

According to our database1, Tarek Khater authored at least 13 papers between 2023 and 2025.

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

Timeline

2023
2024
2025
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Links

Online presence:

On csauthors.net:

Bibliography

2025
An Explainable Artificial Intelligence Model for the Classification of Breast Cancer.
IEEE Access, 2025

2024
Explainable artificial intelligence for investigating the effect of lifestyle factors on obesity.
Intell. Syst. Appl., 2024

Explainable Machine Learning Model for Alzheimer Detection Using Genetic Data: A Genome-Wide Association Study Approach.
IEEE Access, 2024

Interpretable RNN for Prediction & Understanding of Childhood Obesity: A Scenario from the UK Millennium Cohort Study.
Proceedings of the 2024 8th International Conference on Cloud and Big Data Computing, 2024

2023
A survey of artificial intelligence approaches in blind source separation.
Neurocomputing, December, 2023

Skin cancer classification using explainable artificial intelligence on pre-extracted image features.
Intell. Syst. Appl., November, 2023

A Robust Hybrid Neural Network Architecture for Blind Source Separation of Speech Signals Exploiting Deep Learning.
IEEE Access, 2023

Interpretable Models For ML-Based Classification of Obesity.
Proceedings of the 7th International Conference on Cloud and Big Data Computing, 2023

Machine Learning for the Classification of Obesity Levels Based on Lifestyle Factors.
Proceedings of the 7th International Conference on Cloud and Big Data Computing, 2023

Deception Detection Deep Learning Comprehensive system Utilizing Explainable AI.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023

Explainable AI for Breast Cancer Detection: A LIME-Driven Approach.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023

Unveiling the Reliability of ChatGPT Answers in the Biomedical Realm: An Assessment in the.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023

Optimizing Spectrum Prediction in Cognitive Radio: Genetic Algorithm-Enhanced Neural Networks and Radial Basis Functions.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023


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