Mohamed Abdelhack

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Privacy Guarantees

Top Venues

J. Biomed. Informatics

Tiny Papers @ ICLR

Publications

Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher Ryan King
Multi-view representation learning for tabular data integration using inter-feature relationships. J. Biomed. Informatics 151 (2024)
Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A. Fritz, Daniel Felsky, Michael Avidan, Yi-Xin Chen, Christopher Ryan King
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues. Trans. Mach. Learn. Res. 2023 (2023)
Abdalrhman Mostafa, Nour-Mounira Z. Bakkar, Mohamed Abdelhack, Ahmed F. El-Yazbi
Can Arterial Blood Pressure Predict Age? A ConvNet Classification Task. Tiny Papers @ ICLR (2023)
Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher R. King
Deep Learning to Jointly Schema Match, Impute, and Transform Databases. CoRR (2022)
Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A. Fritz, Michael Avidan, Yixin Chen, Christopher R. King
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues. CoRR (2021)
Mohamed Abdelhack, Christopher R. King, Bradley A. Fritz, Sandhya Tripathi, Yixin Chen, Michael Avidan
Postoperative Mortality Prediction with and Without the Use of Intraoperative Features. AMIA (2020)
Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher R. King
(Un)fairness in Post-operative Complication Prediction Models. CoRR (2020)
Mohamed Abdelhack
A Comparison of Data Augmentation Techniques in Training Deep Neural Networks for Satellite Image Classification. CoRR (2020)