cAPTured: Neural Reflex Arc-Inspired Fuzzy Continual Learning for Capturing in Silico Aptamer-Target Protein Interactions
Author:
Affiliation:
1. Carnegie Mellon University,Department of Mechanical Engineering,Pittsburgh,PA,USA,15213
2. Waterloo Institute of Nanotechnology, University of Waterloo,Waterloo,ON,Canada
3. Western University,Department of Computer Science,London,ON,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191809.pdf?arnumber=10191809
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1. Improving Identification of Difficult Small Classes by Balancing Class Distribution
2. Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network
3. Prediction of Protein Structure Classes with Pseudo Amino Acid Composition and Fuzzy Support Vector Machine Network
4. Novel fuzzy approach to Antimicrobial Peptide Activity Prediction: A tale of limited and imbalanced data that models won't hear;chharia;Proceedings of the NeurIPS 2021 AI for Science Workshop,2021
5. Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes
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