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2020 – today
- 2024
[i6]Aleix Lafita, Ferran Gonzalez, Mahmoud Hossam, Paul Smyth, Jacob Deasy, Ari Allyn-Feuer, Daniel Seaton, Stephen Young:
Fine-tuning Protein Language Models with Deep Mutational Scanning improves Variant Effect Prediction. CoRR abs/2405.06729 (2024)- 2021
- [b1]Mahmoud Hossam:
Deep Sequence Models: Learning to Generate Data and Adversarial Attacks. Monash University, Australia, 2021 - [i5]Mahmoud Hossam, Trung Le, He Zhao, Viet Huynh, Dinh Phung:
Improved and Efficient Text Adversarial Attacks using Target Information. CoRR abs/2104.13484 (2021) - [i4]Mahmoud Hossam, Trung Le, Michael Papasimeon, Viet Huynh, Dinh Phung:
Text Generation with Deep Variational GAN. CoRR abs/2104.13488 (2021) - [i3]Mahmoud Hossam:
High Performance Hyperspectral Image Classification using Graphics Processing Units. CoRR abs/2106.12942 (2021) - 2020
- [c2]Mahmoud Hossam, Trung Le, He Zhao, Dinh Phung:
Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability. ICPR 2020: 8922-8928 - [c1]Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung
:
OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. IJCNN 2020: 1-8 - [i2]Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung:
OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. CoRR abs/2004.07534 (2020) - [i1]Mahmoud Hossam, Trung Le, He Zhao, Dinh Phung:
Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability. CoRR abs/2010.06812 (2020)
Coauthor Index
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