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Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data
Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data
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Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data

Glaab, Enrico ; Bacardit, Jaume ; Garibaldi, Jonathan M ; Krasnogor, Natalio Ouzounis, Christos A.

PloS one, 2012-07, Vol.7 (7), p.e39932-e39932 [Periódico revisado por pares]

United States: Public Library of Science

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A twinning bare bones particle swarm optimization algorithm
A twinning bare bones particle swarm optimization algorithm
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A twinning bare bones particle swarm optimization algorithm

Guo, Jia ; Shi, Binghua ; Yan, Ke ; Di, Yi ; Tang, Jianyu ; Xiao, Haiyang ; Sato, Yuji Mirjalili, Seyedali

PloS one, 2022-05, Vol.17 (5), p.e0267197-e0267197 [Periódico revisado por pares]

United States: Public Library of Science

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Players' selection for basketball teams, through Performance Index Rating, using multiobjective evolutionary algorithms
Players' selection for basketball teams, through Performance Index Rating, using multiobjective evolutionary algorithms
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Players' selection for basketball teams, through Performance Index Rating, using multiobjective evolutionary algorithms

Pérez-Toledano, Miguel Ángel ; Rodriguez, Francisco J ; García-Rubio, Javier ; Ibañez, Sergio José Kuo, Yong-Hong

PloS one, 2019-09, Vol.14 (9), p.e0221258-e0221258 [Periódico revisado por pares]

United States: Public Library of Science

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4
Impact of Chaos Functions on Modern Swarm Optimizers
Impact of Chaos Functions on Modern Swarm Optimizers
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Impact of Chaos Functions on Modern Swarm Optimizers

Emary, E ; Zawbaa, Hossam M Deng, Zhaohong

PloS one, 2016-07, Vol.11 (7), p.e0158738-e0158738 [Periódico revisado por pares]

United States: Public Library of Science

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5
Proportional Topology Optimization: A New Non-Sensitivity Method for Solving Stress Constrained and Minimum Compliance Problems and Its Implementation in MATLAB
Proportional Topology Optimization: A New Non-Sensitivity Method for Solving Stress Constrained and Minimum Compliance Problems and Its Implementation in MATLAB
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Proportional Topology Optimization: A New Non-Sensitivity Method for Solving Stress Constrained and Minimum Compliance Problems and Its Implementation in MATLAB

Biyikli, Emre ; To, Albert C Shi, Yongtang

PloS one, 2015-12, Vol.10 (12), p.e0145041-e0145041 [Periódico revisado por pares]

United States: Public Library of Science

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6
iLoc-Euk: a multi-label classifier for predicting the subcellular localization of singleplex and multiplex eukaryotic proteins
iLoc-Euk: a multi-label classifier for predicting the subcellular localization of singleplex and multiplex eukaryotic proteins
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iLoc-Euk: a multi-label classifier for predicting the subcellular localization of singleplex and multiplex eukaryotic proteins

Chou, Kuo-Chen ; Wu, Zhi-Cheng ; Xiao, Xuan Schönbach, Christian

PloS one, 2011-03, Vol.6 (3), p.e18258-e18258 [Periódico revisado por pares]

United States: Public Library of Science

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7
Ligand pose and orientational sampling in molecular docking
Ligand pose and orientational sampling in molecular docking
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Ligand pose and orientational sampling in molecular docking

Coleman, Ryan G ; Carchia, Michael ; Sterling, Teague ; Irwin, John J ; Shoichet, Brian K Romesberg, Floyd

PloS one, 2013-10, Vol.8 (10), p.e75992-e75992 [Periódico revisado por pares]

United States: Public Library of Science

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8
Earthquake prediction model using support vector regressor and hybrid neural networks
Earthquake prediction model using support vector regressor and hybrid neural networks
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Earthquake prediction model using support vector regressor and hybrid neural networks

Asim, Khawaja M ; Idris, Adnan ; Iqbal, Talat ; Martínez-Álvarez, Francisco Li, Xiangtao

PloS one, 2018-07, Vol.13 (7), p.e0199004-e0199004 [Periódico revisado por pares]

United States: Public Library of Science

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9
Simple gravitational particle swarm algorithm for multimodal optimization problems
Simple gravitational particle swarm algorithm for multimodal optimization problems
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Simple gravitational particle swarm algorithm for multimodal optimization problems

Yamanaka, Yoshikazu ; Yoshida, Katsutoshi Mirjalili, Seyedali

PloS one, 2021-03, Vol.16 (3), p.e0248470-e0248470 [Periódico revisado por pares]

United States: Public Library of Science

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10
Obstacle optimization for panic flow--reducing the tangential momentum increases the escape speed
Obstacle optimization for panic flow--reducing the tangential momentum increases the escape speed
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Obstacle optimization for panic flow--reducing the tangential momentum increases the escape speed

Jiang, Li ; Li, Jingyu ; Shen, Chao ; Yang, Sicong ; Han, Zhangang Gao, Zhong-Ke

PloS one, 2014-12, Vol.9 (12), p.e115463 [Periódico revisado por pares]

United States: Public Library of Science

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