4 citations · 6 across the 7 of their papers we have counts for
5 papers · 1 filter
2021 Drexel Society of Artificial Intelligence Research Conference
Ethan Jacob Moyer, Yigit Can Alparslan
The 2021 Drexel Society of Artificial Intelligence Research Conference highlights papers focused on a broad set of papers in machine learning. This was our organizations' first ann…
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…
Motif Identification using CNN-based Pairwise Subsequence Alignment Score Prediction
Ethan Jacob Moyer, Anup Das
A common problem in bioinformatics is related to identifying gene regulatory regions marked by relatively high frequencies of motifs, or deoxyribonucleic acid sequences that often…
Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures
Yigit Alparslan, Ethan Jacob Moyer, Edward Kim
Architecture sizes for neural networks have been studied widely and several search methods have been offered to find the best architecture size in the shortest amount of time possi…
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…