Mohamed Abdelhack

According to our database, Mohamed Abdelhack authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues.

Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A. Fritz, Daniel Felsky, Michael Avidan, Yi-Xin Chen, Christopher Ryan King

Trans. Mach. Learn. Res., 2023

Can Arterial Blood Pressure Predict Age? A ConvNet Classification Task.

Abdalrhman Mostafa, Nour-Mounira Z. Bakkar, Mohamed Abdelhack, Ahmed F. El-Yazbi

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Deep Learning to Jointly Schema Match, Impute, and Transform Databases.

Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher Ryan King

CoRR, 2022

2021

A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues.

Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A. Fritz, Michael Avidan, Yixin Chen, Christopher Ryan King

CoRR, 2021

2020

(Un)fairness in Post-operative Complication Prediction Models.

Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher Ryan King

CoRR, 2020

A Comparison of Data Augmentation Techniques in Training Deep Neural Networks for Satellite Image Classification.

Mohamed Abdelhack

CoRR, 2020

Postoperative Mortality Prediction with and Without the Use of Intraoperative Features.

Mohamed Abdelhack, Christopher Ryan King, Bradley A. Fritz, Sandhya Tripathi, Yixin Chen, Michael Avidan

Proceedings of the AMIA 2020, 2020

2019

Top-down modulation in human visual cortex.

Mohamed Abdelhack

PhD thesis, 2019