1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.NE2022
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…
cs.LG2021★ 1 cited
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…