Mohamed Mahyoub

According to our database1, Mohamed Mahyoub authored at least 12 papers between 2018 and 2023.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Data Augmentation Using Generative Adversarial Networks to Reduce Data Imbalance with Application in Car Damage Detection.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

Brain Tumor Segmentation in Fluid-Attenuated Inversion Recovery Brain MRI using Residual Network Deep Learning Architectures.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

Semantic Segmentation and Depth Estimation of Urban Road Scene Images Using Multi-Task Networks.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

A Novel Predictive Model for Housing Loan Default using Feature Generation and Explainable AI.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

Abstract Pattern Image Generation using Generative Adversarial Networks.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

2022
Well Log Data Preparation and Effective Utilization of Drilling Parameters Using Data Science Based Approaches.
Proceedings of the Data Science and Emerging Technologies, 2022

Loan Default Forecasting Using StackNet.
Proceedings of the Data Science and Emerging Technologies, 2022

2019
A machine learning classification framework for early prediction of Alzheimer's disease.
PhD thesis, 2019

Hierarchical Text Clustering and Categorisation Using a Semi-Supervised Framework.
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019

Automatic Stopword Detection Using Term Ranking between Written and Machine Speech Recognition Transcribed Reviews.
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019

2018
Effective Use of Data Science Toward Early Prediction of Alzheimer's Disease.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Comparison Analysis of Machine Learning Algorithms to Rank Alzheimer's Disease Risk Factors by Importance.
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018


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