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Association rule mining to detect factors which contribute to heart disease in males and females
Association rule mining to detect factors which contribute to heart disease in males and females
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Association rule mining to detect factors which contribute to heart disease in males and females

Nahar, Jesmin ; Imam, Tasadduq ; Tickle, Kevin S. ; Chen, Yi-Ping Phoebe

Expert systems with applications, 2013-03, Vol.40 (4), p.1086-1093 [Periódico revisado por pares]

Amsterdam: Elsevier Ltd

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Feature Selection and Extraction Methods for Power Systems Transient Stability Assessment Employing Computational Intelligence Techniques
Feature Selection and Extraction Methods for Power Systems Transient Stability Assessment Employing Computational Intelligence Techniques
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Feature Selection and Extraction Methods for Power Systems Transient Stability Assessment Employing Computational Intelligence Techniques

Wahab, Noor Izzri Abdul ; Mohamed, Azah ; Hussain, Aini

Neural processing letters, 2012-02, Vol.35 (1), p.81-102 [Periódico revisado por pares]

Boston: Springer US

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Computational intelligence for heart disease diagnosis: A medical knowledge driven approach
Computational intelligence for heart disease diagnosis: A medical knowledge driven approach
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Computational intelligence for heart disease diagnosis: A medical knowledge driven approach

Nahar, Jesmin ; Imam, Tasadduq ; Tickle, Kevin S. ; Chen, Yi-Ping Phoebe

Expert systems with applications, 2013-01, Vol.40 (1), p.96-104 [Periódico revisado por pares]

Amsterdam: Elsevier Ltd

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4
Dynamic neural network-based fault diagnosis of gas turbine engines
Dynamic neural network-based fault diagnosis of gas turbine engines
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Dynamic neural network-based fault diagnosis of gas turbine engines

Sina Tayarani-Bathaie, S. ; Sadough Vanini, Z.N. ; Khorasani, K.

Neurocomputing (Amsterdam), 2014-02, Vol.125, p.153-165 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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5
Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function
Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function
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Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function

Li, Shuai ; Chen, Sanfeng ; Liu, Bo

Neural processing letters, 2013-04, Vol.37 (2), p.189-205 [Periódico revisado por pares]

Boston: Springer US

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Wings: Intelligent Workflow-Based Design of Computational Experiments
Wings: Intelligent Workflow-Based Design of Computational Experiments
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Wings: Intelligent Workflow-Based Design of Computational Experiments

Gil, Yolanda ; Ratnakar, Varun ; Jihie Kim ; Moody, Joshua ; Deelman, Ewa ; Gonzalez-Calero, Pedro Antonio ; Groth, Paul

IEEE intelligent systems, 2011-01, Vol.26 (1), p.62-72 [Periódico revisado por pares]

New York, NY: IEEE

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7
Self-Adaptive Evolutionary Extreme Learning Machine
Self-Adaptive Evolutionary Extreme Learning Machine
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Self-Adaptive Evolutionary Extreme Learning Machine

Cao, Jiuwen ; Lin, Zhiping ; Huang, Guang-Bin

Neural processing letters, 2012-12, Vol.36 (3), p.285-305 [Periódico revisado por pares]

Boston: Springer US

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8
New method for the on-line signature verification based on horizontal partitioning
New method for the on-line signature verification based on horizontal partitioning
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New method for the on-line signature verification based on horizontal partitioning

Cpałka, Krzysztof ; Zalasiński, Marcin ; Rutkowski, Leszek

Pattern recognition, 2014-08, Vol.47 (8), p.2652-2661 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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9
Face Recognition and Micro-expression Recognition Based on Discriminant Tensor Subspace Analysis Plus Extreme Learning Machine
Face Recognition and Micro-expression Recognition Based on Discriminant Tensor Subspace Analysis Plus Extreme Learning Machine
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Face Recognition and Micro-expression Recognition Based on Discriminant Tensor Subspace Analysis Plus Extreme Learning Machine

Wang, Su-Jing ; Chen, Hui-Ling ; Yan, Wen-Jing ; Chen, Yu-Hsin ; Fu, Xiaolan

Neural processing letters, 2014-02, Vol.39 (1), p.25-43 [Periódico revisado por pares]

Boston: Springer US

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10
Improving SVM-Based Nontechnical Loss Detection in Power Utility Using the Fuzzy Inference System
Improving SVM-Based Nontechnical Loss Detection in Power Utility Using the Fuzzy Inference System
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Improving SVM-Based Nontechnical Loss Detection in Power Utility Using the Fuzzy Inference System

Nagi, J ; Keem Siah Yap ; Sieh Kiong Tiong ; Ahmed, S K ; Nagi, F

IEEE transactions on power delivery, 2011-04, Vol.26 (2), p.1284-1285 [Periódico revisado por pares]

New York, NY: IEEE

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