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Conference and Workshop Papers
- 2023
[c2]Edward Kim, Lucy Robinson, Isamu Isozaki, Noreen Robertson, Charles B. Cairns, Satvik Tripathi
, Vicki Seyfert-Margolis:
A Coronavirus Cohort Case Study - Dataset Trends using Machine Learning Methods. BIBM 2023: 4213-4219- 2021
- [c1]Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki, Daniel Schwartz, Adam Dunlop, Shesh Dave, Edward Kim:
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems. IJCNN 2021: 1-8
Informal and Other Publications
- 2024
- [i5]Isamu Isozaki, Manil Shrestha, Rick Console, Edward Kim:
Towards Automated Penetration Testing: Introducing LLM Benchmark, Analysis, and Improvements. CoRR abs/2410.17141 (2024) - 2023
- [i4]Edward Kim, Isamu Isozaki, Naomi Sirkin, Michael P. Robson:
Generative Artificial Intelligence Consensus in a Trustless Network. CoRR abs/2307.01898 (2023) - 2022
- [i3]Ethan Jacob Moyer, Alisha Isabelle Augustin, Satvik Tripathi, Ansh Aashish Dholakia, Andy Nguyen, Isamu Mclean Isozaki, Daniel Schwartz, Edward Kim:
EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting. CoRR abs/2204.07066 (2022) - 2021
- [i2]Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki, Daniel Schwartz, Adam Dunlop, Shesh Dave, Edward Kim:
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems. CoRR abs/2101.06511 (2021) - [i1]Ethan Jacob Moyer, Jeff Winchell, Isamu Isozaki, Yigit Alparslan, Mali Halac, Edward Kim:
Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network. CoRR abs/2104.08969 (2021)
Coauthor Index
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