Mahmoud Hossam

According to our database, Mahmoud Hossam authored at least 7 papers between 2020 and 2024.

Collaborative distances:

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

2024

Fine-tuning Protein Language Models with Deep Mutational Scanning improves Variant Effect Prediction.

Aleix Lafita, Ferran Gonzalez, Mahmoud Hossam, Paul Smyth, Jacob Deasy, Ari Allyn-Feuer, Daniel Seaton, Stephen Young

CoRR, 2024

2021

Deep Sequence Models: Learning to Generate Data and Adversarial Attacks.

Mahmoud Hossam

PhD thesis, 2021

High Performance Hyperspectral Image Classification using Graphics Processing Units.

Mahmoud Hossam

CoRR, 2021

Text Generation with Deep Variational GAN.

Mahmoud Hossam, Trung Le, Michael Papasimeon, Viet Huynh, Dinh Phung

CoRR, 2021

Improved and Efficient Text Adversarial Attacks using Target Information.

Mahmoud Hossam, Trung Le, He Zhao, Viet Huynh, Dinh Phung

CoRR, 2021

2020

OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation.

Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability.

Mahmoud Hossam, Trung Le, He Zhao, Dinh Phung

Proceedings of the 25th International Conference on Pattern Recognition, 2020