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Siamese Neural Networks: An Overview
Siamese Neural Networks: An Overview
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Siamese Neural Networks: An Overview

Chicco, Davide

Artificial Neural Networks, 2021-01, Vol.2190, p.73-94

New York, NY: Springer US

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Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology
Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology
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Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology

Hudson, Irene Lena

Artificial Neural Networks, 2021-01, Vol.2190, p.167-184

New York, NY: Springer US

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Protein Structural Information Derived from NMR Chemical Shift with the Neural Network Program TALOS-N
Protein Structural Information Derived from NMR Chemical Shift with the Neural Network Program TALOS-N
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Protein Structural Information Derived from NMR Chemical Shift with the Neural Network Program TALOS-N

Shen, Yang ; Bax, Ad

Artificial Neural Networks, 2015-01, Vol.1260, p.17-32

New York, NY: Springer New York

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4
Using Neural Networks for Relation Extraction from Biomedical Literature
Using Neural Networks for Relation Extraction from Biomedical Literature
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Using Neural Networks for Relation Extraction from Biomedical Literature

Sousa, Diana ; Lamurias, Andre ; Couto, Francisco M.

Artificial Neural Networks, 2021-01, Vol.2190, p.289-305

New York, NY: Springer US

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5
Predicting Hot Spots Using a Deep Neural Network Approach
Predicting Hot Spots Using a Deep Neural Network Approach
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Predicting Hot Spots Using a Deep Neural Network Approach

Preto, António J. ; Matos-Filipe, Pedro ; de Almeida, José G. ; Mourão, Joana ; Moreira, Irina S.

Artificial Neural Networks, 2021-01, Vol.2190, p.267-288

New York, NY: Springer US

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Neuroevolutive Algorithms Applied for Modeling Some Biochemical Separation Processes
Neuroevolutive Algorithms Applied for Modeling Some Biochemical Separation Processes
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Neuroevolutive Algorithms Applied for Modeling Some Biochemical Separation Processes

Curteanu, Silvia ; Dragoi, Elena-Niculina ; Blaga, Alexandra Cristina ; Galaction, Anca Irina ; Cascaval, Dan

Artificial Neural Networks, 2021-01, Vol.2190, p.115-138

New York, NY: Springer US

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Bayesian Regularization of Neural Networks
Bayesian Regularization of Neural Networks
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Bayesian Regularization of Neural Networks

Burden, Frank ; Winkler, Dave

Artificial Neural Networks, 2008, Vol.458, p.23-42

Totowa, NJ: Humana Press

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Leverage Large-Scale Biological Networks to Decipher the Genetic Basis of Human Diseases Using Machine Learning
Leverage Large-Scale Biological Networks to Decipher the Genetic Basis of Human Diseases Using Machine Learning
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Leverage Large-Scale Biological Networks to Decipher the Genetic Basis of Human Diseases Using Machine Learning

Wang, Hao ; Yang, Jiaxin ; Wang, Jianrong

Artificial Neural Networks, 2021-01, Vol.2190, p.229-248

New York, NY: Springer US

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9
Predicting Host Phenotype Based on Gut Microbiome Using a Convolutional Neural Network Approach
Predicting Host Phenotype Based on Gut Microbiome Using a Convolutional Neural Network Approach
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Predicting Host Phenotype Based on Gut Microbiome Using a Convolutional Neural Network Approach

Reiman, Derek ; Farhat, Ali M. ; Dai, Yang

Artificial Neural Networks, 2021-01, Vol.2190, p.249-266

New York, NY: Springer US

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Building and Interpreting Artificial Neural Network Models for Biological Systems
Building and Interpreting Artificial Neural Network Models for Biological Systems
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Building and Interpreting Artificial Neural Network Models for Biological Systems

Nair, T. Murlidharan

Artificial Neural Networks, 2021-01, Vol.2190, p.185-194

New York, NY: Springer US

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