1 citations · 1 across the 3 of their papers we have counts for
3 papers
EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting
Ethan Jacob Moyer, Alisha Isabelle Augustin, Satvik Tripathi +5
In this work, we highlight our novel evolutionary sparse time-series forecasting algorithm also known as EvoSTS. The algorithm attempts to evolutionary prioritize weights of Long S…
Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network
Ethan Moyer, Jeff Winchell, Isamu Isozaki +3
Identifying novel functional protein structures is at the heart of molecular engineering and molecular biology, requiring an often computationally exhaustive search. We introduce t…
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems
Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki +4
In recent years, deep neural networks have had great success in machine learning and pattern recognition. Architecture size for a neural network contributes significantly to the su…