Ethan Jacob Moyer

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 8

Top Topics

Binary Classification Problems

Protein Structural

Machine Learning

Top Venues

Publications

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 (2022)
Ethan Jacob Moyer, Anup Das
Motif Identification using CNN-based Pairwise Subsequence Alignment Score Prediction. CoRR (2021)
Yigit Alparslan, Ethan Jacob Moyer, Edward Kim
Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures. CoRR (2021)
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)
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 (2021)
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 (2021)
Ethan Jacob Moyer
2021 Drexel Society of Artificial Intelligence Research Conference. CoRR (2021)
Ethan Jacob Moyer, Anup Das
Machine learning applications to DNA subsequence and restriction site analysis. CoRR (2020)