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Found 5 papers, 2 papers with code
EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting
In each generation of our evolutionary algorithm, a set number of children with the same initial weights are spawned.
2021 Drexel Society of Artificial Intelligence Research Conference
The 2021 Drexel Society of Artificial Intelligence Research Conference highlights papers focused on a broad set of papers in machine learning.
Motif Identification using CNN-based Pairwise Subsequence Alignment Score Prediction
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 code for transcription and enhancer proteins.
Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures
In this paper, we study compact neural network architectures for binary classification and investigate improvements in speed and accuracy when favoring overcomplete architecture candidates that have a very high-dimensional representation of the input.
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems
Architecture size for a neural network contributes significantly to the success of any neural network.
