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A Novel Hybrid ABC-PSO Algorithm for Effort Estimation of Software Projects Using Agile Methodologies

Journal of intelligent systems, 2018-07, Vol.27 (3), p.489-506

2018

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Random Hyperboxes

IEEE transaction on neural networks and learning systems, 2023-02, Vol.34 (2), p.1008-1022

2023

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Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule

Information sciences, 2021-02, Vol.547, p.887-909

2021

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A comparative study of general fuzzy min-max neural networks for pattern classification problems

Neurocomputing (Amsterdam), 2020-04, Vol.386, p.110-125

2020

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An Effective Multiresolution Hierarchical Granular Representation Based Classifier Using General Fuzzy Min-Max Neural Network

IEEE transactions on fuzzy systems, 2021-02, Vol.29 (2), p.427-441

2021

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An Application of Artificial Neural Networks and Fuzzy Logic on the Stock Price Prediction Problem

JOIV : international journal on informatics visualization Online, 2017-04, Vol.1 (2), p.40-49

2017

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hyperbox-brain: A Python toolbox for hyperbox-based machine learning algorithms

SoftwareX, 2023-07, Vol.23, p.101425, Article 101425

2023

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The Roles and Modes of Human Interactions with Automated Machine Learning Systems: A Critical Review and Perspectives

Foundations and trends in human-computer interaction, 2023-09, Vol.17 (3-4), p.195-387

2023

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Binary teaching–learning-based optimization algorithm with a new update mechanism for sample subset optimization in software defect prediction

Soft computing (Berlin, Germany), 2019-10, Vol.23 (20), p.9919-9935

2019

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Application of Machine Learning to Performance Assessment for a Class of PID-Based Control Systems

IEEE transactions on systems, man, and cybernetics. Systems, 2023-07, Vol.53 (7), p.1-13

2023

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Survey on Mutation-based Test Data Generation

International journal of electrical and computer engineering (Malacca, Malacca), 2015-10, Vol.5 (5), p.1164

2015

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A Novel Fitness function of metaheuristic algorithms for test data generation for simulink models based on mutation analysis

The Journal of systems and software, 2016-10, Vol.120, p.17-30

2016

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Ensemble learning for software fault prediction problem with imbalanced data

International journal of electrical and computer engineering (Malacca, Malacca), 2019-08, Vol.9 (4), p.3241

2019

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A genetic algorithm with multi-parent crossover using quaternion representation for numerical function optimization

Applied intelligence (Dordrecht, Netherlands), 2017-06, Vol.46 (4), p.810-826

2017

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APPLYING TEACHING-LEARNING TO ARTIFICIAL BEE COLONY FOR PARAMETER OPTIMIZATION OF SOFTWARE EFFORT ESTIMATION MODEL

Journal of engineering science & technology, 2017-05, Vol.12 (5), p.1178-1190

2017

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Optimizing Parameters of Software Effort Estimation Models using Directed Artificial Bee Colony Algorithm

Informatica (Ljubljana), 2016-12, Vol.40 (4), p.427-427

2016

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An online learning algorithm for a neuro-fuzzy classifier with mixed-attribute data

Applied soft computing, 2023-04, Vol.137, p.110152, Article 110152

2023

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An in-depth comparison of methods handling mixed-attribute data for general fuzzy min–max neural network

Neurocomputing (Amsterdam), 2021-11, Vol.464, p.175-202

2021

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Parallel Mutant Execution Techniques in Mutation Testing Process for Simulink Models

Journal of Telecommunications and Information Technology, 2018-01, Vol.4 (2017), p.90-100

2018

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Hyperbox-based machine learning algorithms: a comprehensive survey

Soft computing (Berlin, Germany), 2021-01, Vol.25 (2), p.1325-1363

2021

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A Novel Technique of Optimization for the COCOMO II Model Parameters using Teaching-Learning-Based Optimization Algorithm

Journal of Telecommunications and Information Technology, 2016-01, Vol.1 (2016), p.84-89

2016

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Forecasting Stock Price using Wavelet Neural Network Optimized by Directed Artificial Bee Colony Algorithm

Journal of Telecommunications and Information Technology, 2016, Vol.2 (2016), p.43-52

2016

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Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities

Computers & chemical engineering, 2024-03, Vol.182, p.108585, Article 108585

2024

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An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network

2020 International Joint Conference on Neural Networks (IJCNN), 2020, p.1-9

2020

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Practical implementation of computationally-efficient machine learning-based control performance assessment system for a class of closed loop systems

Applied soft computing, 2023-10, Vol.146, p.110690, Article 110690

2023

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A Novel Hybrid ABC-PSO Algorithm for Effort Estimation of Software Projects Using Agile Methodologies

Random Hyperboxes

Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule

A comparative study of general fuzzy min-max neural networks for pattern classification problems

An Effective Multiresolution Hierarchical Granular Representation Based Classifier Using General Fuzzy Min-Max Neural Network

An Application of Artificial Neural Networks and Fuzzy Logic on the Stock Price Prediction Problem

hyperbox-brain: A Python toolbox for hyperbox-based machine learning algorithms

The Roles and Modes of Human Interactions with Automated Machine Learning Systems: A Critical Review and Perspectives

Binary teaching–learning-based optimization algorithm with a new update mechanism for sample subset optimization in software defect prediction

Application of Machine Learning to Performance Assessment for a Class of PID-Based Control Systems

Survey on Mutation-based Test Data Generation

A Novel Fitness function of metaheuristic algorithms for test data generation for simulink models based on mutation analysis

Ensemble learning for software fault prediction problem with imbalanced data

A genetic algorithm with multi-parent crossover using quaternion representation for numerical function optimization

APPLYING TEACHING-LEARNING TO ARTIFICIAL BEE COLONY FOR PARAMETER OPTIMIZATION OF SOFTWARE EFFORT ESTIMATION MODEL

Optimizing Parameters of Software Effort Estimation Models using Directed Artificial Bee Colony Algorithm

An online learning algorithm for a neuro-fuzzy classifier with mixed-attribute data

An in-depth comparison of methods handling mixed-attribute data for general fuzzy min–max neural network

Parallel Mutant Execution Techniques in Mutation Testing Process for Simulink Models

Hyperbox-based machine learning algorithms: a comprehensive survey

A Novel Technique of Optimization for the COCOMO II Model Parameters using Teaching-Learning-Based Optimization Algorithm

Forecasting Stock Price using Wavelet Neural Network Optimized by Directed Artificial Bee Colony Algorithm

Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities

An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network

Practical implementation of computationally-efficient machine learning-based control performance assessment system for a class of closed loop systems

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