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Probabilistic Contextual and Structural Dependencies Learning in Grammar-Based Genetic Programming

Evolutionary computation, 2021-06, Vol.29 (2), p.239-268

2021

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Cost-sensitive ensemble of stacked denoising autoencoders for class imbalance problems in business domain

Expert systems with applications, 2020-03, Vol.141, p.112918, Article 112918

2020

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A Surrogate-Assisted Evolutionary Algorithm for Seeking Multiple Solutions of Expensive Multimodal Optimization Problems

IEEE transactions on emerging topics in computational intelligence, 2024-02, Vol.8 (1), p.1-12

2024

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Time Delayed Causal Gene Regulatory Network Inference with Hidden Common Causes

PloS one, 2015-09, Vol.10 (9), p.e0138596-e0138596

2015

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Evolutionary Computing on Consumer Graphics Hardware

IEEE intelligent systems, 2007-03, Vol.22 (2), p.69-78

2007

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Deep-Learning-Driven Proactive Maintenance Management of IoT-Empowered Smart Toilet

IEEE internet of things journal, 2023-02, Vol.10 (3), p.2417-2429

2023

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Scalable model-based clustering for large databases based on data summarization

IEEE transactions on pattern analysis and machine intelligence, 2005-11, Vol.27 (11), p.1710-1719

2005

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Applying Ant Colony Optimization to configuring stacking ensembles for data mining

Expert systems with applications, 2014-05, Vol.41 (6), p.2688-2702

2014

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An efficient data mining method for learning Bayesian networks using an evolutionary algorithm-based hybrid approach

IEEE transactions on evolutionary computation, 2004-08, Vol.8 (4), p.378-404

2004

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Probabilistic grammar-based neuroevolution for physiological signal classification of ventricular tachycardia

Expert systems with applications, 2019-11, Vol.135, p.237-248

2019

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Grammar-Based Genetic Programming with Bayesian network

2014 IEEE Congress on Evolutionary Computation (CEC), 2014, p.739-746

2014

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Expanding Self-Organizing Map for data visualization and cluster analysis

Information sciences, 2004-06, Vol.163 (1), p.157-173

2004

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Adaptive, convergent, and diversified archiving strategy for multiobjective evolutionary algorithms

Expert systems with applications, 2010-12, Vol.37 (12), p.8462-8470

2010

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Using evolutionary programming and minimum description length principle for data mining of Bayesian networks

IEEE transactions on pattern analysis and machine intelligence, 1999-02, Vol.21 (2), p.174-178

1999

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Learning Bayesian networks from incomplete databases using a novel evolutionary algorithm

Decision Support Systems, 2008-05, Vol.45 (2), p.368-383

2008

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Long-Short Term Memory Network for RNA Structure Profiling Super-Resolution

Theory and Practice of Natural Computing, p.255-266

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Hierarchical Knowledge in Self-Improving Grammar-Based Genetic Programming

Parallel Problem Solving from Nature – PPSN XIV, p.270-280

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Learning Grammar Rules in Probabilistic Grammar-Based Genetic Programming

Theory and Practice of Natural Computing, p.208-220

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A flexible knowledge discovery system using genetic programming and logic grammars

Decision Support Systems, 2001-10, Vol.31 (4), p.405-428

Wong, Man Leung

2001

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Discover dependency pattern among attributes by using a new type of nonlinear multiregression

International journal of intelligent systems, 2001-08, Vol.16 (8), p.949-962

2001

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Data mining of Bayesian networks using cooperative coevolution

Decision Support Systems, 2004-12, Vol.38 (3), p.451-472

2004

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Decomposition-based multiobjective optimization for nonlinear equation systems with many and infinitely many roots

Information sciences, 2022-09, Vol.610, p.605-623

2022

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An improved dynamic multi-objective optimization approach for nonlinear equation systems

Information sciences, 2021-10, Vol.576, p.204-227

2021

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A Novel Hybrid Evolutionary Algorithm for Learning Bayesian Networks from Incomplete Data

2006 IEEE International Conference on Evolutionary Computation, 2006, p.916-923

2006

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Scalable model-based cluster analysis using clustering features

Pattern recognition, 2005-05, Vol.38 (5), p.637-649

2005

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Probabilistic Contextual and Structural Dependencies Learning in Grammar-Based Genetic Programming

Cost-sensitive ensemble of stacked denoising autoencoders for class imbalance problems in business domain

A Surrogate-Assisted Evolutionary Algorithm for Seeking Multiple Solutions of Expensive Multimodal Optimization Problems

Time Delayed Causal Gene Regulatory Network Inference with Hidden Common Causes

Evolutionary Computing on Consumer Graphics Hardware

Deep-Learning-Driven Proactive Maintenance Management of IoT-Empowered Smart Toilet

Scalable model-based clustering for large databases based on data summarization

Applying Ant Colony Optimization to configuring stacking ensembles for data mining

An efficient data mining method for learning Bayesian networks using an evolutionary algorithm-based hybrid approach

Probabilistic grammar-based neuroevolution for physiological signal classification of ventricular tachycardia

Grammar-Based Genetic Programming with Bayesian network

Expanding Self-Organizing Map for data visualization and cluster analysis

Adaptive, convergent, and diversified archiving strategy for multiobjective evolutionary algorithms

Using evolutionary programming and minimum description length principle for data mining of Bayesian networks

Learning Bayesian networks from incomplete databases using a novel evolutionary algorithm

Long-Short Term Memory Network for RNA Structure Profiling Super-Resolution

Hierarchical Knowledge in Self-Improving Grammar-Based Genetic Programming

Learning Grammar Rules in Probabilistic Grammar-Based Genetic Programming

A flexible knowledge discovery system using genetic programming and logic grammars

Discover dependency pattern among attributes by using a new type of nonlinear multiregression

Data mining of Bayesian networks using cooperative coevolution

Decomposition-based multiobjective optimization for nonlinear equation systems with many and infinitely many roots

An improved dynamic multi-objective optimization approach for nonlinear equation systems

A Novel Hybrid Evolutionary Algorithm for Learning Bayesian Networks from Incomplete Data

Scalable model-based cluster analysis using clustering features

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