Ahmed Ashraf

Orcid: 0000-0002-0463-4102

According to our database1, Ahmed Ashraf authored at least 13 papers between 2018 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
VolPAM: Volumetric Phenotype-Activation-Map for data-driven discovery of 3D imaging phenotypes and interpretability.
Neural Comput. Appl., February, 2024

A deep learning approach to satellite image time series coregistration through alignment of road networks.
Neural Comput. Appl., 2024

AraTrust: An Evaluation of Trustworthiness for LLMs in Arabic.
CoRR, 2024

CIDAR: Culturally Relevant Instruction Dataset For Arabic.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2022
An interpretable CNN model for classification of partial discharge waveforms in 3D-printed dielectric samples with different void sizes.
Neural Comput. Appl., 2022

Online Photovoltaic Pump System Sizing Tool for Educational Purposes.
Proceedings of the Artificial Intelligence and Online Engineering - Proceedings of the 19th International Conference on Remote Engineering and Virtual Instrumentation, British University, Cairo, Egypt, 28 February, 2022

Improving the Quality of Students' Written Reflections Using Natural Language Processing: Model Design and Classroom Evaluation.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021
A multi-branch deep convolutional fusion architecture for 3D microwave inverse scattering: stored grain application.
Neural Comput. Appl., 2021

Classification of Partial Discharge Signals Using 1D Convolutional Neural Networks.
Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021

2020
Full 3D Microwave Breast Imaging Using a Deep-Learning Technique.
J. Imaging, 2020

2019
Enhancement of Multimodal Microwave-Ultrasound Breast Imaging Using a Deep-Learning Technique.
Sensors, 2019

Pain Expression Recognition Using Occluded Faces.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

2018
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies.
CoRR, 2018


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