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Self-Supervised Approach to Addressing Zero-Shot Learning Problem


Jan 21, 2022
Ademola Okerinde, Sam Hoggatt, Divya Vani Lakkireddy, Nolan Brubaker, William Hsu, Lior Shamir, Brian Spiesman

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* The 4th International Conference on Computing and Data Science (CONF-CDS 2022) 

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eGAN: Unsupervised approach to class imbalance using transfer learning


Apr 09, 2021
Ademola Okerinde, Lior Shamir, William Hsu, Tom Theis, Nasik Nafi

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* 10 pages 

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AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines


Mar 02, 2021
Ademola Okerinde, Lior Shamir, William Hsu, Tom Theis

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* 4th Black in AI Workshop of the International Confererence on Neural Information Processing Systems (NeurIPS BAI 2020) 

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Segmentation of Breast Microcalcifications: A Multi-Scale Approach


Feb 01, 2021
Chrysostomos Marasinou, Bo Li, Jeremy Paige, Akinyinka Omigbodun, Noor Nakhaei, Anne Hoyt, William Hsu

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* Electronic Preprint version 1 

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Feature Selection for Learning to Predict Outcomes of Compute Cluster Jobs with Application to Decision Support


Dec 14, 2020
Adedolapo Okanlawon, Huichen Yang, Avishek Bose, William Hsu, Dan Andresen, Mohammed Tanash

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* 6 pages, Proceedings of the International Conference on Computational Science and Computational Intelligence Symposium on Parallel & Distributed Computing (CSCI-ISPD 2020) 

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Shape-aware Generative Adversarial Networks for Attribute Transfer


Oct 11, 2020
Lei Luo, William Hsu, Shangxian Wang

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Using a Generative Adversarial Network for CT Normalization and its Impact on Radiomic Features


Jan 22, 2020
Leihao Wei, Yannan Lin, William Hsu

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* ISBI 2020 

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Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies


Jun 03, 2019
Vahid Behzadan, William Hsu

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Adversarial Exploitation of Policy Imitation


Jun 03, 2019
Vahid Behzadan, William Hsu

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