Bing Xue

According to our database1, Bing Xue authored at least 254 papers between 2005 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification.
IEEE Trans. Evol. Comput., 2021

A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation.
IEEE Trans. Cybern., 2021

Output-based transfer learning in genetic programming for document classification.
Knowl. Based Syst., 2021

Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier].
IEEE Comput. Intell. Mag., 2021

Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification.
Appl. Soft Comput., 2021

2020
Completely Automated CNN Architecture Design Based on Blocks.
IEEE Trans. Neural Networks Learn. Syst., 2020

Evolving Deep Convolutional Neural Networks for Image Classification.
IEEE Trans. Evol. Comput., 2020

Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor.
IEEE Trans. Evol. Comput., 2020

Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms.
IEEE Trans. Evol. Comput., 2020

Multiobjective Multitasking Optimization Based on Incremental Learning.
IEEE Trans. Evol. Comput., 2020

Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification.
IEEE Trans. Cybern., 2020

A survey on swarm intelligence approaches to feature selection in data mining.
Swarm Evol. Comput., 2020

Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism.
Soft Comput., 2020

Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks.
Knowl. Based Syst., 2020

Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection.
Inf. Sci., 2020

Multi-objective genetic programming for manifold learning: balancing quality and dimensionality.
Genet. Program. Evolvable Mach., 2020

Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis.
Evol. Comput., 2020

Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning.
CoRR, 2020

Evolving Character-level Convolutional Neural Networks for Text Classification.
CoRR, 2020

A Survey on Evolutionary Neural Architecture Search.
CoRR, 2020

Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification.
CoRR, 2020

Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation.
CoRR, 2020

An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier].
IEEE Comput. Intell. Mag., 2020

Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition.
Appl. Soft Comput., 2020

A survey on feature selection approaches for clustering.
Artif. Intell. Rev., 2020

Improved Binary Particle Swarm optimization with Evolutionary Population Dynamic for Key Oncogene Selection.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Evolutionary Design of Long Short Term Memory (LSTM) Ensemble.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

GPCNN: Evolving Convolutional Neural Networks using Genetic Programming.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A GA-Based Approach to Fine-Tuning BERT for Hate Speech Detection.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Data Imputation for Symbolic Regression with Missing Values: A Comparative Study.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification.
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020

Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Segmented initialization and offspring modification in evolutionary algorithms for bi-objective feature selection.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Adaptive weighted splines: a new representation to genetic programming for symbolic regression.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Neural architecture search for sparse DenseNets with dynamic compression.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Absumption and subsumption based learning classifier systems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Improving generalisation of AutoML systems with dynamic fitness evaluations.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Automatically extracting features for face classification using multi-objective genetic programming.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Evolving network structures for text classification using genetic algorithms.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A genetic programming approach to feature construction for ensemble learning in skin cancer detection.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Improving symbolic regression based on correlation between residuals and variables.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data.
Proceedings of the Genetic Programming - 23rd European Conference, 2020

Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Region Adaptive Image Classification Approach Using Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Genetic Programming-Based Feature Learning for Facial Expression Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

In Data We Trust: A Critical Analysis of Hate Speech Detection Datasets.
Proceedings of the Fourth Workshop on Online Abuse and Harms, 2020

2019
A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2019

Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification.
ACM Trans. Knowl. Discov. Data, 2019

Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification.
IEEE Trans. Evol. Comput., 2019

A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019

Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression.
IEEE Trans. Evol. Comput., 2019

Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators.
IEEE Trans. Evol. Comput., 2019

Genetic programming with transfer learning for texture image classification.
Soft Comput., 2019

Genetic programming for multiple-feature construction on high-dimensional classification.
Pattern Recognit., 2019

A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules.
Evol. Comput., 2019

Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification.
CoRR, 2019

A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Multi-Label Feature Selection Using Particle Swarm Optimization: Novel Local Search Mechanisms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-Based Scoring Function for Re-ranking Peptide-Spectrum Matches.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

The Evolution of Adjacency Matrices for Sparsity of Connection in DenseNets.
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019

Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification.
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019

Evolving deep neural networks by multi-objective particle swarm optimization for image classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Population-based ensemble classifier induction for domain adaptation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Transfer learning: a building block selection mechanism in genetic programming for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Absumption to complement subsumption in learning classifier systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

What's inside the black-box?: a genetic programming method for interpreting complex machine learning models.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

An automated ensemble learning framework using genetic programming for image classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Differential evolution for instance based transfer learning in genetic programming for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry Using Genetic Algorithm.
Proceedings of the Applications of Evolutionary Computation, 2019

Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection.
Proceedings of the Applications of Evolutionary Computation, 2019

Can Genetic Programming Do Manifold Learning Too?
Proceedings of the Genetic Programming - 22nd European Conference, 2019

Blocky Net: A New NeuroEvolution Method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Genetic Programming with Rademacher Complexity for Symbolic Regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Learning to Rank Peptide-Spectrum Matches Using Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Instance based Transfer Learning for Genetic Programming for Symbolic Regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Multi-label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018
A New Representation in PSO for Discretization-Based Feature Selection.
IEEE Trans. Cybern., 2018

PSO with surrogate models for feature selection: static and dynamic clustering-based methods.
Memetic Comput., 2018

An effective and efficient approach to classification with incomplete data.
Knowl. Based Syst., 2018

Differential evolution for filter feature selection based on information theory and feature ranking.
Knowl. Based Syst., 2018

Pareto front feature selection based on artificial bee colony optimization.
Inf. Sci., 2018

Automatically Evolving CNN Architectures Based on Blocks.
CoRR, 2018

Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification.
CoRR, 2018

Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes].
IEEE Comput. Intell. Mag., 2018

Improving performance of classification on incomplete data using feature selection and clustering.
Appl. Soft Comput., 2018

Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Foreground and Background Feature Fusion Using a Convex Hull Based Center Prior for Salient Object Detection.
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Featuring the Attributes in Supervised Machine Learning.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

A particle swarm optimization based feature selection approach to transfer learning in classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Automatically evolving difficult benchmark feature selection datasets with genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Adapting Bagging and Boosting to Learning Classifier Systems.
Proceedings of the Applications of Evolutionary Computation, 2018

An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming.
Proceedings of the Applications of Evolutionary Computation, 2018

Generating Redundant Features with Unsupervised Multi-tree Genetic Programming.
Proceedings of the Genetic Programming - 21st European Conference, 2018

Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Particle Swarm Optimization Based Two-Stage Feature Selection in Text Mining.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Co-evolution of Novel Tree-Like ANNs and Activation Functions: An Observational Study.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

A Genetic Programming Approach for Constructing Foreground and Background Saliency Features for Salient Object Detection.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification.
IEEE Trans. Evol. Comput., 2017

Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression.
IEEE Trans. Evol. Comput., 2017

Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming.
IEEE Trans. Evol. Comput., 2017

Sebastian Ventura and Jose Maria Luna: Pattern mining with evolutionary algorithms - Springer, 2016, 190 pp, ISBN: 978-3-319-33858-3.
Genet. Program. Evolvable Mach., 2017

A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification.
CoRR, 2017

Evolving Deep Convolutional Neural Networks for Image Classification.
CoRR, 2017

A classification method based on self-adaptive artificial bee colony.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A differential evolution based feature selection approach using an improved filter criterion.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A supervised feature weighting method for salient object detection using particle swarm optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Automatic Feature Construction for Network Intrusion Detection.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

A Hybrid GA-GP Method for Feature Reduction in Classification.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

New Representations in Genetic Programming for Feature Construction in k-Means Clustering.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Transductive Transfer Learning in Genetic Programming for Document Classification.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

An automatic region detection and processing approach in genetic programming for binary image classification.
Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017

PSO-based parameters selection for the bilateral filter in image denoising.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Genetic programming based feature construction for classification with incomplete data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Multiple imputation and genetic programming for classification with incomplete data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Multiple reference points MOEA/D for feature selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Improving <i>k</i>-means clustering with genetic programming for feature construction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Evolving texture image descriptors using a multitree genetic programming representation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Bagging and Feature Selection for Classification with Incomplete Data.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

Surrogate-Model Based Particle Swarm Optimisation with Local Search for Feature Selection in Classification.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data.
Proceedings of the Genetic Programming - 20th European Conference, 2017

Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression.
Proceedings of the Genetic Programming - 20th European Conference, 2017

Genetic programming for solving common and domain-independent generic recursive problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Common subtrees in related problems: A novel transfer learning approach for genetic programming.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Particle Swarm Optimisation with genetic operators for feature selection.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Genetic programming for skin cancer detection in dermoscopic images.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Class Dependent Multiple Feature Construction Using Genetic Programming for High-Dimensional Data.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

2016
A Survey on Evolutionary Computation Approaches to Feature Selection.
IEEE Trans. Evol. Comput., 2016

Guest editorial: special issue on evolutionary optimization, feature reduction and learning.
Soft Comput., 2016

New mechanism for archive maintenance in PSO-based multi-objective feature selection.
Soft Comput., 2016

Genetic programming for feature construction and selection in classification on high-dimensional data.
Memetic Comput., 2016

Improving performance for classification with incomplete data using wrapper-based feature selection.
Evol. Intell., 2016

Mutual information for feature selection: estimation or counting?
Evol. Intell., 2016

Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias.
Connect. Sci., 2016

Dimension reduction in classification using particle swarm optimisation and statistical variable grouping information.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Multiple feature construction in classification on high-dimensional data using GP.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Particle swarm optimisation representations for simultaneous clustering and feature selection.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A Differential Evolution Approach to Feature Selection and Instance Selection.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

A Profile-Based Authorship Attribution Approach to Forensic Identification in Chinese Online Messages.
Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Evolutionary Computation for Feature Selection and Feature Construction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Fast Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

A Wrapper Feature Selection Approach to Classification with Missing Data.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Bare-Bone Particle Swarm Optimisation for Simultaneously Discretising and Selecting Features for High-Dimensional Classification.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Mutual Information Estimation for Filter Based Feature Selection Using Particle Swarm Optimization.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data.
Proceedings of the Genetic Programming - 19th European Conference, 2016

Evolutionary computation for feature manipulation: Key challenges and future directions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A PSO based hybrid feature selection algorithm for high-dimensional classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Genetic programming for evolving programs with recursive structures.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Further investigation on genetic programming with transfer learning for symbolic regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Improving classification on images by extracting and transferring knowledge in genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A Subset Similarity Guided Method for Multi-objective Feature Selection.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2015
A Comprehensive Comparison on Evolutionary Feature Selection Approaches to Classification.
Int. J. Comput. Intell. Appl., 2015

A binary ABC algorithm based on advanced similarity scheme for feature selection.
Appl. Soft Comput., 2015

A hybrid Genetic Programming approach to feature detection and image classification.
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Code coverage optimisation in genetic algorithms and particle swarm optimisation for automatic software test data generation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Generalisation and domain adaptation in GP with gradient descent for symbolic regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Particle swarm optimisation for feature selection: A hybrid filter-wrapper approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Particle Swarm Optimisation for Feature Selection: A Size-Controlled Approach.
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015

2014
Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach.
Int. J. Comput. Intell. Appl., 2014

Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms.
Appl. Soft Comput., 2014

Multi-objective Feature Selection in Classification: A Differential Evolution Approach.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Overview of Particle Swarm Optimisation for Feature Selection in Classification.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Improved PSO for Feature Selection on High-Dimensional Datasets.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

PSO and Statistical Clustering for Feature Selection: A New Representation.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Genetic Programming for Measuring Peptide Detectability.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Differential evolution (DE) for multi-objective feature selection in classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Multiple feature construction for effective biomarker identification and classification using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

A New Binary Particle Swarm Optimisation Algorithm for Feature Selection.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

Gaussian Based Particle Swarm Optimisation and Statistical Clustering for Feature Selection.
Proceedings of the Evolutionary Computation in Combinatorial Optimisation, 2014

New Representations in PSO for Feature Construction in Classification.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

An archive based particle swarm optimisation for feature selection in classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Filter based backward elimination in wrapper based PSO for feature selection in classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach.
IEEE Trans. Cybern., 2013

Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification.
Int. J. Artif. Intell. Tools, 2013

PSO for feature construction and binary classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2013

Feature selection based on PSO and decision-theoretic rough set model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Binary particle swarm optimisation and rough set theory for dimension reduction in classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Particle Swarm Optimisation and Statistical Clustering for Feature Selection.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

2012
Bacterial foraging based approaches to portfolio optimization with liquidity risk.
Neurocomputing, 2012

A multi-objective particle swarm optimisation for filter-based feature selection in classification problems.
Connect. Sci., 2012

A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

Multi-objective particle swarm optimisation (PSO) for feature selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

New fitness functions in binary particle swarm optimisation for feature selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Binary particle swarm optimisation for feature selection: A filter based approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Single Feature Ranking and Binary Particle Swarm Optimisation Based Feature Subset Ranking for Feature Selection.
Proceedings of the Thirty-Fifth Australasian Computer Science Conference, 2012

2010
Improved Particle Swarm Optimizers with Application on Constrained Portfolio Selection.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

Constrained portfolio selection using multiple swarms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Symbiotic Multi-swarm PSO for Portfolio Optimization.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

A Novel Particle Swarm Optimization with Non-linear Inertia Weight Based on Tangent Function.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

2005
Application and discussion in small scale of china in research of ecological footprint - take the EF of Lanzhou university(graduate school) in 2003 as an example.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

A research on the evolution of ecological environment and resources exploitation in Xinjiang.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

A study on the landscape structure and change of the valley-city: case of Lanzhou.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

Land cover changes and some proposals for promoting sustainable development in the source regions of the Yellow River, China.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005


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