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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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Nonlinear Autoregressive Neural Network and Extended Kalman Filters for Prediction of Financial Time Series

Journal of applied mathematics, 2020, Vol.2020, p.1-6

2020

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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 Hybrid GARCH and Deep Learning Method for Volatility Prediction

Journal of applied mathematics, 2024-01, Vol.2024 (1)

2024

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Intelligent Recommendation Algorithm Combining RNN and Knowledge Graph

Journal of applied mathematics, 2022-12, Vol.2022, p.1-11

2022

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Classification Algorithm for Heterogeneous Network Data Streams Based on Big Data Active Learning

Journal of applied mathematics, 2022-10, Vol.2022, p.1-10

2022

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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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High-order dynamic Bayesian Network learning with hidden common causes for causal gene regulatory network

BMC bioinformatics, 2015-11, Vol.16 (1), p.395-395, Article 395

2015

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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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Extended Gumbel Type-2 Distribution: Properties and Applications

Journal of applied mathematics, 2020, Vol.2020, p.1-11

2020

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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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An ɛ-constrained multiobjective differential evolution with adaptive gradient-based repair method for real-world constrained optimization problems

Applied soft computing, 2024-02, Vol.152, p.111202, Article 111202

2024

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Financial fraud detection by using Grammar-based multi-objective genetic programming with ensemble learning

2015 IEEE Congress on Evolutionary Computation (CEC), 2015, p.1113-1120

2015

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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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Model selection for direct marketing: performance criteria and validation methods

Marketing intelligence & planning, 2008-05, Vol.26 (3), p.275-292

2008

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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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Machine Learning for Direct Marketing Response Models: Bayesian Networks with Evolutionary Programming

Management science, 2006-04, Vol.52 (4), p.597-612

2006

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

Nonlinear Autoregressive Neural Network and Extended Kalman Filters for Prediction of Financial Time Series

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

A Hybrid GARCH and Deep Learning Method for Volatility Prediction

Intelligent Recommendation Algorithm Combining RNN and Knowledge Graph

Classification Algorithm for Heterogeneous Network Data Streams Based on Big Data Active Learning

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

High-order dynamic Bayesian Network learning with hidden common causes for causal gene regulatory network

Time Delayed Causal Gene Regulatory Network Inference with Hidden Common Causes

Extended Gumbel Type-2 Distribution: Properties and Applications

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

An ɛ-constrained multiobjective differential evolution with adaptive gradient-based repair method for real-world constrained optimization problems

Financial fraud detection by using Grammar-based multi-objective genetic programming with ensemble learning

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

Model selection for direct marketing: performance criteria and validation methods

Expanding Self-Organizing Map for data visualization and cluster analysis

Machine Learning for Direct Marketing Response Models: Bayesian Networks with Evolutionary Programming

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

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