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DGCNN: A convolutional neural network over large-scale labeled graphs

Neural networks, 2018-12, Vol.108, p.533-543

2018

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Feature weighting and SVM parameters optimization based on genetic algorithms for classification problems

Applied intelligence (Dordrecht, Netherlands), 2017-03, Vol.46 (2), p.455-469

2017

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A novel evolutionary multi-objective ensemble learning approach for forecasting currency exchange rates

Data & knowledge engineering, 2018-03, Vol.114, p.40-66

2018

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An effective and efficient approach to classification with incomplete data

Knowledge-based systems, 2018-08, Vol.154, p.1-16

2018

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Improving performance of classification on incomplete data using feature selection and clustering

Applied soft computing, 2018-12, Vol.73, p.848-861

2018

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Semi-supervised multitask learning using convolutional autoencoder for faulty code detection with limited data

Applied intelligence (Dordrecht, Netherlands), 2023-02, Vol.53 (4), p.3877-3888

2023

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A multifactorial optimization paradigm for linkage tree genetic algorithm

Information sciences, 2020-11, Vol.540, p.325-344

2020

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Improve Performance of Pareto Corner Search-based Objective Reduction in Many-Objective Optimization

Evolutionary intelligence, 2024-04, Vol.17 (2), p.1079-1094

2024

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An Online Packing Heuristic for the Three-Dimensional Container Loading Problem in Dynamic Environments and the Physical Internet

Applications of Evolutionary Computation, p.140-155

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Automatically classifying source code using tree-based approaches

Data & knowledge engineering, 2018-03, Vol.114, p.12-25

2018

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Adaptation in Dynamic Environments: A Case Study in Mission Planning

IEEE transactions on evolutionary computation, 2012-04, Vol.16 (2), p.190-209

2012

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A Competitive Co-Evolutionary Approach for the Multi-Objective Evolutionary Algorithms

IEEE access, 2020, Vol.8, p.56927-56947

2020

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Discovery of pathways in protein–protein interaction networks using a genetic algorithm

Data & knowledge engineering, 2015-03, Vol.96-97, p.19-31

2015

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A multi-objective approach for solving the survivable network design problem with simultaneous unicast and anycast flows

Applied soft computing, 2014-11, Vol.24, p.1145-1154

2014

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Convolutional Neural Networks over Control Flow Graphs for Software Defect Prediction

2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), 2017, p.45-52

2017

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An adaptive approach for solving dynamic scheduling with time-varying number of tasks - Part I

2011 IEEE Congress of Evolutionary Computation (CEC), 2011, p.1703-1710

2011

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An adaptive approach for solving dynamic scheduling with time-varying number of tasks - Part II

2011 IEEE Congress of Evolutionary Computation (CEC), 2011, p.1711-1718

2011

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A reactive-proactive approach for solving dynamic scheduling with time-varying number of Tasks

2012 IEEE Congress on Evolutionary Computation, 2012, p.1-10

2012

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An evolutionary multi-objective approach for dynamic mission planning

IEEE Congress on Evolutionary Computation, 2010, p.1-8

2010

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SibStCNN and TBCNN + kNN-TED: New Models over Tree Structures for Source Code Classification

Intelligent Data Engineering and Automated Learning - IDEAL 2017, 2017, Vol.10585, p.120-128

2017

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Corrigendum to “A bi-population genetic algorithm based on multi-objective optimization for a relocation scheme with target coverage constraints” [Expert Syst. Appl. 217 (2023) 119486]

Expert systems with applications, 2023-08, Vol.223, p.119945, Article 119945

2023

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A bi-population Genetic algorithm based on multi-objective optimization for a relocation scheme with target coverage constraints in mobile wireless sensor networks

Expert systems with applications, 2023-05, Vol.217, p.119486, Article 119486

2023

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A Multi-Objective Co-Operative Co-Evolutionary Method for Classification with Imbalanced Data

2023 15th International Conference on Knowledge and Systems Engineering (KSE), 2023, p.1-6

2023

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Interleaving Guidance in Evolutionary Multi-Objective Optimization

Journal of computer science and technology, 2008, Vol.23 (1), p.44-63

2008

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Improving many objective optimisation algorithms using objective dimensionality reduction

Evolutionary intelligence, 2020-09, Vol.13 (3), p.365-380

2020

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DGCNN: A convolutional neural network over large-scale labeled graphs

Feature weighting and SVM parameters optimization based on genetic algorithms for classification problems

A novel evolutionary multi-objective ensemble learning approach for forecasting currency exchange rates

An effective and efficient approach to classification with incomplete data

Improving performance of classification on incomplete data using feature selection and clustering

Semi-supervised multitask learning using convolutional autoencoder for faulty code detection with limited data

A multifactorial optimization paradigm for linkage tree genetic algorithm

Improve Performance of Pareto Corner Search-based Objective Reduction in Many-Objective Optimization

An Online Packing Heuristic for the Three-Dimensional Container Loading Problem in Dynamic Environments and the Physical Internet

Automatically classifying source code using tree-based approaches

Adaptation in Dynamic Environments: A Case Study in Mission Planning

A Competitive Co-Evolutionary Approach for the Multi-Objective Evolutionary Algorithms

Discovery of pathways in protein–protein interaction networks using a genetic algorithm

A multi-objective approach for solving the survivable network design problem with simultaneous unicast and anycast flows

Convolutional Neural Networks over Control Flow Graphs for Software Defect Prediction

An adaptive approach for solving dynamic scheduling with time-varying number of tasks - Part I

An adaptive approach for solving dynamic scheduling with time-varying number of tasks - Part II

A reactive-proactive approach for solving dynamic scheduling with time-varying number of Tasks

An evolutionary multi-objective approach for dynamic mission planning

SibStCNN and TBCNN + kNN-TED: New Models over Tree Structures for Source Code Classification

Corrigendum to “A bi-population genetic algorithm based on multi-objective optimization for a relocation scheme with target coverage constraints” [Expert Syst. Appl. 217 (2023) 119486]

A bi-population Genetic algorithm based on multi-objective optimization for a relocation scheme with target coverage constraints in mobile wireless sensor networks

A Multi-Objective Co-Operative Co-Evolutionary Method for Classification with Imbalanced Data

Interleaving Guidance in Evolutionary Multi-Objective Optimization

Improving many objective optimisation algorithms using objective dimensionality reduction

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