30 citations · 33 across the 3 of their papers we have counts for
3 papers
cond-mat.soft2024
Using recurrent neural networks to predict aspects of 3-D structure of folded copolymer sequences
R. G. Reilly, M. -T. Kechadi, Yu. A. Kuznetsov +2
The neural network techniques are developed for artificial sequences based on approximate models of proteins. We only encode the hydrophobicity of the amino acid side chains withou…
cs.LG2018★ 30 cited
Predicting purchasing intent: Automatic Feature Learning using Recurrent Neural Networks
Humphrey Sheil, Omer Rana, Ronan Reilly
We present a neural network for predicting purchasing intent in an Ecommerce setting. Our main contribution is to address the significant investment in feature engineering that is…
cond-mat.soft2001★ 3 cited
A Study of Sequence Distribution of a Painted Globule as a Model for Proteins with Good Folding Properties
M-T. Kechadi, R. G. Reilly, K. A. Dawson +2
In this paper we present a method to study the folding structure of a simple model consisting of two kinds of monomers, hydrophobic and hydrophilic. This method has three main step…