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Bing Xue 0001
Person information
- affiliation: Victoria University of Wellington, New Zealand
Other persons with the same name
- Bing Xue — disambiguation page
- Bing Xue 0002 — Rice University, Houston, TX, USA
- Bing Xue 0003
— Washington University in St. Louis, USA
- Bing Xue 0004
— Chinese Academy of Sciences, Institute of Applied Ecology, Shenyang, China
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2020 – today
- 2024
- [j143]Kaan Demir
, Bach Hoai Nguyen
, Bing Xue
, Mengjie Zhang
:
Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection. IEEE Comput. Intell. Mag. 19(1): 36-50 (2024) - [j142]Qurrat Ul Ain
, Harith Al-Sahaf
, Bing Xue
, Mengjie Zhang
:
Automatically Evolving Interpretable Feature Vectors Using Genetic Programming for an Ensemble Classifier in Skin Cancer Detection. IEEE Comput. Intell. Mag. 19(3): 26-41 (2024) - [j141]Nan Li
, Lianbo Ma
, Guo Yu
, Bing Xue
, Mengjie Zhang
, Yaochu Jin
:
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues. ACM Comput. Surv. 56(2): 41:1-41:34 (2024) - [j140]Hengzhe Zhang, Qi Chen
, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A geometric semantic macro-crossover operator for evolutionary feature construction in regression. Genet. Program. Evolvable Mach. 25(1): 2 (2024) - [j139]Gonglin Yuan
, Bing Xue, Mengjie Zhang:
An evolutionary neural architecture search method based on performance prediction and weight inheritance. Inf. Sci. 667: 120466 (2024) - [j138]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
:
A genetic programming-based method for image classification with small training data. Knowl. Based Syst. 283: 111188 (2024) - [j137]Wenlong Fu
, Bing Xue
, Xiaoying Gao, Mengjie Zhang
:
Genetic Programming for Document Classification: A Transductive Transfer Learning System. IEEE Trans. Cybern. 54(2): 1119-1132 (2024) - [j136]Baligh Al-Helali
, Qi Chen
, Bing Xue
, Mengjie Zhang
:
Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data. IEEE Trans. Cybern. 54(7): 4014-4027 (2024) - [j135]Bach Hoai Nguyen
, Bing Xue
, Mengjie Zhang
:
A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection. IEEE Trans. Evol. Comput. 28(1): 2-16 (2024) - [j134]Ying Bi
, Bing Xue
, Mengjie Zhang
:
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification. IEEE Trans. Evol. Comput. 28(2): 307-322 (2024) - [j133]Wenbin Pei
, Bing Xue
, Mengjie Zhang
, Lin Shang
, Xin Yao
, Qiang Zhang
:
A Survey on Unbalanced Classification: How Can Evolutionary Computation Help? IEEE Trans. Evol. Comput. 28(2): 353-373 (2024) - [j132]Yanan Sun
, Bing Xue
, Mengjie Zhang
, Gary G. Yen
:
Guest Editorial Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. 28(3): 566-569 (2024) - [j131]Qinglan Fan
, Ying Bi
, Bing Xue
, Mengjie Zhang
:
A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification. IEEE Trans. Evol. Comput. 28(3): 718-732 (2024) - [j130]Haitong Zhao, Changsheng Zhang
, Bing Xue
, Mengjie Zhang
, Bin Zhang
:
A Two-Stage Differential Evolutionary Algorithm for Deep Ensemble Model Generation. IEEE Trans. Evol. Comput. 28(3): 810-824 (2024) - [j129]Ruwang Jiao
, Bing Xue
, Mengjie Zhang
:
Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling. IEEE Trans. Evol. Comput. 28(4): 846-860 (2024) - [j128]Bin Wang
, Wenbin Pei
, Bing Xue
, Mengjie Zhang
:
A Multiobjective Genetic Algorithm to Evolving Local Interpretable Model-Agnostic Explanations for Deep Neural Networks in Image Classification. IEEE Trans. Evol. Comput. 28(4): 903-917 (2024) - [j127]Ruwang Jiao
, Bach Hoai Nguyen
, Bing Xue
, Mengjie Zhang
:
A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges. IEEE Trans. Evol. Comput. 28(4): 1156-1176 (2024) - [j126]Baligh Al-Helali
, Qi Chen
, Bing Xue
, Mengjie Zhang
:
Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2269-2282 (2024) - [j125]Jing J. Liang
, Zexuan Yang
, Ying Bi
, Boyang Qu
, Mengnan Liu, Bing Xue
, Mengjie Zhang
:
A Multitree Genetic Programming-Based Feature Construction Approach to Crop Classification Using Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j124]Shihui Liu
, Meiping Song
, Bing Xue
, Chein-I Chang
, Mengjie Zhang
:
Hyperspectral Real-Time Local Anomaly Detection Based on Finite Markov via Line-by-Line Processing. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024) - [j123]Cuie Yang
, Bing Xue
, Kay Chen Tan
, Mengjie Zhang
:
A Co-Training Framework for Heterogeneous Heuristic Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6863-6877 (2024) - [c278]Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Exploring Genetic Programming Models in Computer-Aided Diagnosis of Skin Cancer Images. CEC 2024: 1-8 - [c277]Kaan Demir, Bach Hoai Nguyen, Jeremy S. Rooney, Bing Xue, Mengjie Zhang, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen:
Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data. CEC 2024: 1-8 - [c276]Matthew Harper, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang:
Evaluating Machine Learning Techniques for Predicting Salinity. CEC 2024: 1-8 - [c275]Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Evolutionary Label Selection for Multi-label Classification. CEC 2024: 1-8 - [c274]Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue:
Evolutionary Design of Long Short Term Memory Networks and Ensembles through Genetic Algorithms. CEC 2024: 1-8 - [c273]Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue:
Automatic Design of LSTM Networks with Skip Connections through Evolutionary and Differentiable Architecture Search. CEC 2024: 1-8 - [c272]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression. EuroGP 2024: 142-158 - [c271]Qinyu Wang, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data. EvoApplications@EvoStar 2024: 196-211 - [c270]Qurrat Ul Ain
, Harith Al-Sahaf
, Bing Xue
, Mengjie Zhang
:
Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach. GECCO 2024 - [c269]Jiahong Wei
, Bing Xue
, Mengjie Zhang
:
EZUAS: Evolutionary Zero-shot U-shape Architecture Search for Medical Image Segmentation. GECCO 2024 - [c268]Hengzhe Zhang
, Qi Chen
, Bing Xue
, Wolfgang Banzhaf
, Mengjie Zhang
:
Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. GECCO 2024 - [c267]Hengzhe Zhang
, Qi Chen
, Bing Xue
, Wolfgang Banzhaf
, Mengjie Zhang
:
A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. GECCO Companion 2024: 65-66 - [c266]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection. GECCO Companion 2024: 271-274 - [c265]Yi Liu
, Yu Cui
, Wen Cheng
, Will Neil Browne
, Bing Xue
, Chengyuan Zhu
, Yiding Zhang
, Mingkai Sheng
, Lingfang Zeng
:
A Phenotypic Learning Classifier System for Problems with Continuous Features. GECCO 2024 - [c264]Chunyu Wang
, Qi Chen
, Bing Xue
, Mengjie Zhang
:
Multi-task Genetic Programming with Semantic based Crossover for Multi-output Regression. GECCO Companion 2024: 543-546 - [c263]Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang:
Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification. GECCO Companion 2024: 555-558 - [c262]Bing Xue, Mengjie Zhang:
Evolutionary Computation for Feature Selection and Feature Construction. GECCO Companion 2024: 1158-1186 - [e4]Mario Giacobini
, Bing Xue
, Luca Manzoni
:
Genetic Programming - 27th European Conference, EuroGP 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings. Lecture Notes in Computer Science 14631, Springer 2024, ISBN 978-3-031-56956-2 [contents] - [i41]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Consistent Lebesgue Measure for Multi-label Learning. CoRR abs/2402.00324 (2024) - [i40]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning. CoRR abs/2403.00865 (2024) - [i39]Paula Maddigan, Andrew Lensen
, Bing Xue:
Explaining Genetic Programming Trees using Large Language Models. CoRR abs/2403.03397 (2024) - [i38]Ben Cravens, Andrew Lensen
, Paula Maddigan, Bing Xue:
Genetic Programming for Explainable Manifold Learning. CoRR abs/2403.14139 (2024) - [i37]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression. CoRR abs/2405.06869 (2024) - [i36]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Meta-Learning Neural Procedural Biases. CoRR abs/2406.07983 (2024) - [i35]Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera:
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. CoRR abs/2407.08745 (2024) - 2023
- [j122]Hengzhe Zhang
, Qi Chen
, Bing Xue
, Wolfgang Banzhaf
, Mengjie Zhang
:
MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]. IEEE Comput. Intell. Mag. 18(4): 62-63 (2023) - [j121]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution. Inf. Sci. 626: 586-606 (2023) - [j120]An-Da Li
, Bing Xue, Mengjie Zhang:
Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes. Inf. Sci. 641: 119062 (2023) - [j119]Emrah Hancer
, Bing Xue, Mengjie Zhang
:
An evolutionary filter approach to feature selection in classification for both single- and multi-objective scenarios. Knowl. Based Syst. 280: 111008 (2023) - [j118]Christian Raymond
, Qi Chen
, Bing Xue
, Mengjie Zhang
:
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13699-13714 (2023) - [j117]Peng Wang, Bing Xue, Jing J. Liang
, Mengjie Zhang:
Feature clustering-Assisted feature selection with differential evolution. Pattern Recognit. 140: 109523 (2023) - [j116]Ying Bi
, Bing Xue
, Mengjie Zhang
:
Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification. IEEE Trans. Cybern. 53(2): 1118-1132 (2023) - [j115]Qurrat Ul Ain
, Harith Al-Sahaf
, Bing Xue
, Mengjie Zhang
:
Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming. IEEE Trans. Cybern. 53(5): 2727-2740 (2023) - [j114]Ying Bi
, Bing Xue
, Mengjie Zhang
:
Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification. IEEE Trans. Cybern. 53(5): 3007-3020 (2023) - [j113]Peng Wang
, Bing Xue
, Jing Liang
, Mengjie Zhang
:
Multiobjective Differential Evolution for Feature Selection in Classification. IEEE Trans. Cybern. 53(7): 4579-4593 (2023) - [j112]Ruwang Jiao
, Bing Xue
, Mengjie Zhang
:
A Multiform Optimization Framework for Constrained Multiobjective Optimization. IEEE Trans. Cybern. 53(8): 5165-5177 (2023) - [j111]Peng Wang
, Bing Xue
, Jing Liang
, Mengjie Zhang
:
Differential Evolution With Duplication Analysis for Feature Selection in Classification. IEEE Trans. Cybern. 53(10): 6676-6689 (2023) - [j110]Ruwang Jiao
, Bing Xue
, Mengjie Zhang
:
Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach. IEEE Trans. Cybern. 53(12): 7773-7786 (2023) - [j109]Ying Bi
, Bing Xue
, Pablo Mesejo
, Stefano Cagnoni
, Mengjie Zhang
:
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. IEEE Trans. Evol. Comput. 27(1): 5-25 (2023) - [j108]Peng Wang
, Bing Xue
, Jing J. Liang
, Mengjie Zhang
:
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach. IEEE Trans. Evol. Comput. 27(2): 296-310 (2023) - [j107]Qinglan Fan
, Ying Bi
, Bing Xue
, Mengjie Zhang
:
Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse. IEEE Trans. Evol. Comput. 27(3): 460-474 (2023) - [j106]Yi Mei
, Qi Chen
, Andrew Lensen
, Bing Xue
, Mengjie Zhang
:
Explainable Artificial Intelligence by Genetic Programming: A Survey. IEEE Trans. Evol. Comput. 27(3): 621-641 (2023) - [j105]Wenbin Pei
, Bing Xue
, Lin Shang
, Mengjie Zhang
:
Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming. IEEE Trans. Evol. Comput. 27(4): 1130-1144 (2023) - [j104]Junhao Huang
, Bing Xue
, Yanan Sun
, Mengjie Zhang
, Gary G. Yen
:
Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification. IEEE Trans. Evol. Comput. 27(5): 1298-1312 (2023) - [j103]Yuqiao Liu
, Yanan Sun
, Bing Xue
, Mengjie Zhang
, Gary G. Yen
, Kay Chen Tan
:
A Survey on Evolutionary Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 34(2): 550-570 (2023) - [j102]Cuie Yang
, Yiu-Ming Cheung
, Jinliang Ding
, Kay Chen Tan
, Bing Xue
, Mengjie Zhang
:
Contrastive Learning Assisted-Alignment for Partial Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7621-7634 (2023) - [j101]Qinge Xiao
, Ben Niu, Bing Xue
, Luoke Hu
:
Graph Convolutional Reinforcement Learning for Advanced Energy-Aware Process Planning. IEEE Trans. Syst. Man Cybern. Syst. 53(5): 2802-2814 (2023) - [c261]Mitchell Rogers, Igor Debski, Johannes Fischer, Peter McComb, Peter Frost, Bing Xue, Mengjie Zhang, Patrice Delmas:
Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging. ACIVS 2023: 287-298 - [c260]Chunyu Wang, Qi Chen
, Bing Xue, Mengjie Zhang:
Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. AusDM 2023: 163-176 - [c259]Qurrat Ul Ain
, Bing Xue
, Harith Al-Sahaf
, Mengjie Zhang
:
Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming. AusDM 2023: 254-269 - [c258]Hengzhe Zhang
, Qi Chen
, Alberto Tonda, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. EuroGP 2023: 84-100 - [c257]Jiabin Lin, Qi Chen
, Bing Xue, Mengjie Zhang:
AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification. EvoApplications@EvoStar 2023: 623-639 - [c256]Hengzhe Zhang
, Aimin Zhou
, Qi Chen
, Bing Xue
, Mengjie Zhang
:
Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. GECCO Companion 2023: 49-50 - [c255]Yi Liu
, Yu Cui
, Will N. Browne
, Bing Xue
, Wen Cheng
, Yong Li
, Lingfang Zeng
:
Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems. GECCO Companion 2023: 299-302 - [c254]Qi Chen
, Bing Xue
, Wolfgang Banzhaf
, Mengjie Zhang
:
Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. GECCO 2023: 420-428 - [c253]Kaan Demir
, Bach Hoai Nguyen
, Bing Xue
, Mengjie Zhang
:
Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO. GECCO 2023: 438-446 - [c252]Gonglin Yuan
, Bing Xue
, Mengjie Zhang
:
An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification. GECCO 2023: 615-623 - [c251]Junhao Huang
, Bing Xue
, Yanan Sun
, Mengjie Zhang
:
Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation. GECCO Companion 2023: 655-658 - [c250]Qurrat Ul Ain
, Harith Al-Sahaf
, Bing Xue
, Mengjie Zhang
:
A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection. GECCO Companion 2023: 707-710 - [c249]Bing Xue
, Mengjie Zhang
:
Evolutionary Computation for Feature Selection and Feature Construction. GECCO Companion 2023: 1129-1156 - [c248]Christian Raymond
, Qi Chen
, Bing Xue
, Mengjie Zhang
:
Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning. GECCO 2023: 1184-1193 - [c247]Hengzhe Zhang
, Qi Chen
, Bing Xue
, Wolfgang Banzhaf
, Mengjie Zhang
:
A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. GECCO 2023: 1194-1202 - [c246]David Knox, Bing Xue, Mengjie Zhang:
Convolutional Neural Networks with Mask Shift Loss for Improving Building Outlines Detection. INNS DLIA@IJCNN 2023: 636-645 - [c245]David Knox, Bing Xue, Mengjie Zhang, Jeromy Cuff:
Measuring Ground Cover in Long Term Hill Country Photography using Weakly Supervised Convolutional Neural Networks. IVCNZ 2023: 1-6 - [c244]Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang:
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation. IVCNZ 2023: 1-6 - [c243]Hamish O'Keeffe, Bing Xue, Mengjie Zhang, Nicola Hawes, Cris Lovell-Smith:
Real-Time Instance Segmentation Techniques using Neural Networks for the Assessment of Green-Lipped Mussels. IVCNZ 2023: 1-6 - [c242]Ziyi Sun, Bing Xue, Mengjie Zhang, Jan Schindler:
An Improved Mask R-CNN for Instance Segmentation of Tree Crowns in Aerial Imagery. IVCNZ 2023: 1-6 - [c241]Dylon Zeng, Ying Bi, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang:
A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images. IVCNZ 2023: 1-6 - [c240]Junhong Zhao, Carl McMillan, Bing Xue, Ross Vennell, Mengjie Zhang:
Buoy Detection under Extreme Low-light Illumination for Intelligent Mussel Farming. IVCNZ 2023: 1-6 - [c239]Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang:
Large-Scale Mussel Farm Reconstruction with GPS Auxiliary. IVCNZ 2023: 1-6 - [c238]Hengzhe Zhang, Qi Chen
, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. PRICAI (2) 2023: 385-397 - [i34]Christian Raymond, Qi Chen
, Bing Xue, Mengjie Zhang:
Online Loss Function Learning. CoRR abs/2301.13247 (2023) - [i33]Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang:
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation. CoRR abs/2308.09238 (2023) - 2022
- [j100]Bo Peng, Ying Bi
, Bing Xue, Mengjie Zhang, Shuting Wan:
A Survey on Fault Diagnosis of Rolling Bearings. Algorithms 15(10): 347 (2022) - [j99]Qinglan Fan
, Ying Bi
, Bing Xue, Mengjie Zhang
:
Genetic programming for feature extraction and construction in image classification. Appl. Soft Comput. 118: 108509 (2022) - [j98]Feng Chen, Jiangshu Wei
, Bing Xue, Mengjie Zhang
:
Feature fusion and kernel selective in Inception-v4 network. Appl. Soft Comput. 119: 108582 (2022) - [j97]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection. Evol. Comput. 30(1): 99-129 (2022) - [j96]Qurrat Ul Ain
, Harith Al-Sahaf
, Bing Xue, Mengjie Zhang
:
Genetic programming for automatic skin cancer image classification. Expert Syst. Appl. 197: 116680 (2022) - [j95]Ying Bi, Bing Xue, Mengjie Zhang:
Using a small number of training instances in genetic programming for face image classification. Inf. Sci. 593: 488-504 (2022) - [j94]Emrah Hancer
, Bing Xue, Mengjie Zhang:
Fuzzy filter cost-sensitive feature selection with differential evolution. Knowl. Based Syst. 241: 108259 (2022) - [j93]Yi Liu
, Will N. Browne
, Bing Xue:
Visualizations for rule-based machine learning. Nat. Comput. 21(2): 243-264 (2022) - [j92]Caiyun Wen
, Miao Lu, Ying Bi
, Shengnan Zhang, Bing Xue, Mengjie Zhang, Qingbo Zhou, Wenbin Wu:
An Object-Based Genetic Programming Approach for Cropland Field Extraction. Remote. Sens. 14(5): 1275 (2022) - [j91]Miao Lu, Ying Bi
, Bing Xue, Qiong Hu, Mengjie Zhang, Yanbing Wei, Peng Yang
, Wenbin Wu:
Genetic Programming for High-Level Feature Learning in Crop Classification. Remote. Sens. 14(16): 3982 (2022) - [j90]Yanan Sun
, Gary G. Yen
, Bing Xue
, Mengjie Zhang
, Jiancheng Lv
:
ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures. IEEE Trans. Artif. Intell. 3(4): 526-540 (2022) - [j89]Qi Chen
, Bing Xue
, Mengjie Zhang
:
Genetic Programming for Instance Transfer Learning in Symbolic Regression. IEEE Trans. Cybern. 52(1): 25-38 (2022) - [j88]Qi Chen
, Bing Xue
, Mengjie Zhang
:
Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression. IEEE Trans. Cybern. 52(4): 2382-2395 (2022) - [j87]Ke Chen
, Bing Xue
, Mengjie Zhang
, Fengyu Zhou
:
An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification. IEEE Trans. Cybern. 52(7): 7172-7186 (2022) - [j86]Ying Bi
, Bing Xue
, Mengjie Zhang
:
Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification. IEEE Trans. Cybern. 52(8): 8272-8285 (2022) - [j85]Ying Bi
, Bing Xue
, Mengjie Zhang
:
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning. IEEE Trans. Evol. Comput. 26(2): 218-232 (2022) - [j84]Ke Chen
, Bing Xue
, Mengjie Zhang
, Fengyu Zhou
:
Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization. IEEE Trans. Evol. Comput. 26(3): 446-460 (2022) - [j83]Ying Bi
, Bing Xue
, Mengjie Zhang
:
Dual-Tree Genetic Programming for Few-Shot Image Classification. IEEE Trans. Evol. Comput. 26(3): 555-569 (2022) - [j82]Andrew Lensen
, Bing Xue
, Mengjie Zhang
:
Genetic Programming for Manifold Learning: Preserving Local Topology. IEEE Trans. Evol. Comput. 26(4): 661-675 (2022) - [j81]Ruwang Jiao
, Bing Xue
, Mengjie Zhang
:
Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization. IEEE Trans. Evol. Comput. 26(5): 872-885 (2022) - [j80]Ke Chen
, Bing Xue
, Mengjie Zhang
, Fengyu Zhou
:
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization. IEEE Trans. Evol. Comput. 26(5): 1015-1029 (2022) - [j79]Xiangning Xie, Yuqiao Liu
, Yanan Sun
, Gary G. Yen
, Bing Xue
, Mengjie Zhang
:
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. 26(6): 1473-1485 (2022) - [j78]Bin Wang
, Bing Xue
, Mengjie Zhang
:
Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3727-3740 (2022) - [j77]Kosisochukwu Judith Madukwe
, Xiaoying Gao, Bing Xue:
Token replacement-based data augmentation methods for hate speech detection. World Wide Web 25(3): 1129-1150 (2022) - [c237]Junhao Huang
, Bing Xue
, Yanan Sun
, Mengjie Zhang
:
EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search. AI 2022: 116-130 - [c236]Ruwang Jiao
, Bing Xue
, Mengjie Zhang
:
Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification. AI 2022: 237-251 - [c235]Peng Wang
, Bing Xue
, Jing J. Liang
, Mengjie Zhang
:
Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers. AI 2022: 279-293 - [c234]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming. AI 2022: 294-307 - [c233]Jesse Wood
, Bach Hoai Nguyen
, Bing Xue
, Mengjie Zhang
, Daniel Killeen
:
Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach. AI 2022: 516-529 - [c232]Christian Raymond
, Qi Chen
, Bing Xue, Mengjie Zhang
:
Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression. EuroGP 2022: 51-67 - [c231]Demelza Robinson
, Qi Chen
, Bing Xue, Daniel Killeen
, Keith C. Gordon
, Mengjie Zhang
:
A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment. EvoApplications 2022: 283-298 - [c230]Yi Liu, Will N. Browne, Bing Xue:
A comparison of rule compaction algorithms for michigan style learning classifier systems. GECCO Companion 2022: 31-32 - [c229]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Particle swarm optimisation for sparsity-based feature selection in multi-label classification. GECCO Companion 2022: 232-235 - [c228]Jiabin Lin, Qi Chen
, Bing Xue, Mengjie Zhang:
Multi-task optimisation for multi-objective feature selection in classification. GECCO Companion 2022: 264-267 - [c227]Bing Xue, Mengjie Zhang:
Evolutionary computation for feature selection and feature construction. GECCO Companion 2022: 1200-1229 - [c226]Qurrat Ul Ain
, Bing Xue, Harith Al-Sahaf
, Mengjie Zhang:
A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification. ICDM (Workshops) 2022: 378-387 - [c225]Wenlong Fu, Bing Xue, Mengjie Zhang, Jan Schindler:
Evolving U-Nets Using Genetic Programming for Tree Crown Segmentation. IVCNZ 2022: 188-201 - [c224]Binke Xu, Ying Bi, Bing Xue, Jan Schindler, Brent Martin, Mengjie Zhang:
Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation. SSCI 2022: 626-633 - [c223]Finn Sargisson, Xiaoying Gao, Bing Xue:
Learning CNN architecture for multi-view text classification using genetic algorithms. SSCI 2022: 1507-1514 - [c222]Yan Lu, Bach Hoai Nguyen, Bing Xue:
Label Clustering for Particle Swarm Optimisation based Multi-Label Feature Selection. SSCI 2022: 1515-1522 - [e3]Eric Medvet
, Gisele L. Pappa
, Bing Xue
:
Genetic Programming - 25th European Conference, EuroGP 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20-22, 2022, Proceedings. Lecture Notes in Computer Science 13223, Springer 2022, ISBN 978-3-031-02055-1 [contents] - [i32]Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin:
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues. CoRR abs/2208.10658 (2022) - [i31]Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang:
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. CoRR abs/2209.06399 (2022) - [i30]Christian Raymond, Qi Chen
, Bing Xue, Mengjie Zhang:
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. CoRR abs/2209.08907 (2022) - [i29]Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification. CoRR abs/2209.13233 (2022) - [i28]Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang:
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations. CoRR abs/2211.15143 (2022) - [i27]Bin Wang, Bing Xue, Mengjie Zhang:
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks. CoRR abs/2212.03942 (2022) - 2021
- [j76]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
:
Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification. Appl. Soft Comput. 101: 106989 (2021) - [j75]Ying Bi
, Bing Xue, Mengjie Zhang
:
Multi-objective genetic programming for feature learning in face recognition. Appl. Soft Comput. 103: 107152 (2021) - [j74]Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang
:
Transductive transfer learning based Genetic Programming for balanced and unbalanced document classification using different types of features. Appl. Soft Comput. 103: 107172 (2021) - [j73]An-Da Li
, Bing Xue, Mengjie Zhang
:
Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies. Appl. Soft Comput. 106: 107302 (2021) - [j72]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier]. IEEE Comput. Intell. Mag. 16(1): 84-98 (2021) - [j71]Bo Peng, Ying Bi
, Bing Xue, Mengjie Zhang, Shuting Wan:
Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes]. IEEE Comput. Intell. Mag. 16(3): 79-94 (2021) - [j70]Harith Al-Sahaf
, Ausama Al-Sahaf, Bing Xue, Mengjie Zhang:
Automatically Evolving Texture Image Descriptors Using the Multitree Representation in Genetic Programming Using Few Instances. Evol. Comput. 29(3): 331-366 (2021) - [j69]Shima Afzali Vahed Moghaddam
, Harith Al-Sahaf
, Bing Xue, Christopher Hollitt, Mengjie Zhang:
An automatic feature construction method for salient object detection: A genetic programming approach. Expert Syst. Appl. 186: 115726 (2021) - [j68]Wenlong Fu, Bing Xue, Xiaoying Gao
, Mengjie Zhang:
Output-based transfer learning in genetic programming for document classification. Knowl. Based Syst. 212: 106597 (2021) - [j67]Baligh Al-Helali
, Qi Chen
, Bing Xue, Mengjie Zhang:
A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data. Soft Comput. 25(8): 5993-6012 (2021) - [j66]Bach Hoai Nguyen
, Bing Xue
, Peter Andreae, Mengjie Zhang
:
A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation. IEEE Trans. Cybern. 51(2): 589-603 (2021) - [j65]Ying Bi
, Bing Xue
, Mengjie Zhang
:
Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification. IEEE Trans. Cybern. 51(4): 1769-1783 (2021) - [j64]Bo Peng
, Shuting Wan, Ying Bi
, Bing Xue
, Mengjie Zhang
:
Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis. IEEE Trans. Cybern. 51(10): 4909-4923 (2021) - [j63]Andrew Lensen
, Bing Xue
, Mengjie Zhang
:
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization. IEEE Trans. Cybern. 51(11): 5468-5482 (2021) - [j62]Bach Hoai Nguyen
, Bing Xue
, Peter Andreae, Mengjie Zhang
:
A Hybrid Evolutionary Computation Approach to Inducing Transfer Classifiers for Domain Adaptation. IEEE Trans. Cybern. 51(12): 6319-6332 (2021) - [j61]Ying Bi
, Bing Xue
, Mengjie Zhang
:
Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification. IEEE Trans. Evol. Comput. 25(1): 87-101 (2021) - [j60]Hang Xu
, Bing Xue
, Mengjie Zhang
:
A Duplication Analysis-Based Evolutionary Algorithm for Biobjective Feature Selection. IEEE Trans. Evol. Comput. 25(2): 205-218 (2021) - [j59]Qi Chen
, Bing Xue
, Mengjie Zhang
:
Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression. IEEE Trans. Evol. Comput. 25(3): 433-447 (2021) - [j58]Weiping Ding
, Witold Pedrycz
, Gary G. Yen
, Bing Xue
:
Guest Editorial Evolutionary Computation Meets Deep Learning. IEEE Trans. Evol. Comput. 25(5): 810-814 (2021) - [j57]Baligh Al-Helali
, Qi Chen
, Bing Xue
, Mengjie Zhang
:
Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data. IEEE Trans. Evol. Comput. 25(6): 1049-1063 (2021) - [j56]Damien O'Neill
, Bing Xue
, Mengjie Zhang
:
Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks. IEEE Trans. Evol. Comput. 25(6): 1118-1132 (2021) - [j55]Ying Bi
, Bing Xue
, Mengjie Zhang
:
A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification. IEEE Trans. Evol. Comput. 25(6): 1148-1162 (2021) - [j54]Yi Liu, Will N. Browne, Bing Xue:
A Comparison of Learning Classifier Systems' Rule Compaction Algorithms for Knowledge Visualization. ACM Trans. Evol. Learn. Optim. 1(3): 10:1-10:38 (2021) - [j53]Qurrat Ul Ain
, Harith Al-Sahaf
, Bing Xue
, Mengjie Zhang
:
Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 554-569 (2021) - [c221]Demelza Robinson, Qi Chen
, Bing Xue, Daniel Killeen, Sara Fraser-Miller, Keith C. Gordon, Indrawati Oey, Mengjie Zhang:
Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products. CEC 2021: 272-279 - [c220]Yunhan Yang, Bing Xue, Linley Jesson, Mengjie Zhang:
Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction. CEC 2021: 588-595 - [c219]Baligh Al-Helali, Qi Chen
, Bing Xue, Mengjie Zhang:
GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data. CEC 2021: 604-611 - [c218]Hayden Andersen, Andrew Lensen
, Bing Xue:
Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms. CEC 2021: 688-695 - [c217]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation. CEC 2021: 760-767 - [c216]An-Da Li, Bing Xue, Mengjie Zhang:
A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification. CEC 2021: 786-793 - [c215]Arka Ghosh, Bing Xue, Mengjie Zhang:
Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification Problems. CEC 2021: 794-801 - [c214]Junhao Huang
, Bing Xue, Yanan Sun, Mengjie Zhang:
A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design. CEC 2021: 934-941 - [c213]Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei
:
Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) Ensembles. CEC 2021: 942-949 - [c212]Hayden Andersen, Sean Stevenson, Tuan Ha
, Xiaoying Gao, Bing Xue:
Evolving Neural Networks for Text Classification using Genetic Algorithm-based Approaches. CEC 2021: 1241-1248 - [c211]Demelza Robinson, Qi Chen
, Bing Xue, Isabella Wagner, Michael Price
, Paul Hume, Kai Chen, Justin Hodgkiss, Mengjie Zhang:
Particle Swarm Optimisation for Analysing Time-Dependent Photoluminescence Data. CEC 2021: 1735-1742 - [c210]Zichu Yan, Ying Bi, Bing Xue, Mengjie Zhang:
Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification. CEC 2021: 2015-2022 - [c209]Peng Wang, Bing Xue, Mengjie Zhang, Jing J. Liang
:
A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification. CEC 2021: 2053-2060 - [c208]Peng Wang, Bing Xue
, Jing Liang
, Mengjie Zhang
:
Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification. EvoApplications 2021: 489-505 - [c207]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Sparsity-based evolutionary multi-objective feature selection for multi-label classification. GECCO Companion 2021: 147-148 - [c206]Christian Raymond, Qi Chen
, Bing Xue, Mengjie Zhang:
Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation. GECCO Companion 2021: 165-166 - [c205]Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang:
Evolving local interpretable model-agnostic explanations for deep neural networks in image classification. GECCO Companion 2021: 173-174 - [c204]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic programming with a new representation and a new mutation operator for image classification. GECCO Companion 2021: 249-250 - [c203]Bin Wang, Bing Xue, Mengjie Zhang:
A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks. GECCO Companion 2021: 287-288 - [c202]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic programming for borderline instance detection in high-dimensional unbalanced classification. GECCO 2021: 349-357 - [c201]Bing Xue, Mengjie Zhang:
Evolutionary computation for feature selection and feature construction. GECCO Companion 2021: 1141-1168 - [c200]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification. ICDM (Workshops) 2021: 823-832 - [c199]Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector. ICDM (Workshops) 2021: 833-842 - [c198]Caleb Buchanan, Ying Bi, Bing Xue, Ross Vennell, Simon Childerhouse, Matthew K. Pine, Dana Briscoe, Mengjie Zhang:
Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks. IVCNZ 2021: 1-6 - [c197]Yunhan Yang, Bing Xue, Linley Jesson, Matthew Wylie, Mengjie Zhang, Maren Wellenreuther
:
Deep Convolutional Neural Networks for Fish Weight Prediction from Images. IVCNZ 2021: 1-6 - [c196]Kosisochukwu Judith Madukwe
, Xiaoying Gao
, Bing Xue
:
What Emotion Is Hate? Incorporating Emotion Information into the Hate Speech Detection Task. PRICAI (2) 2021: 273-286 - [c195]Ziyi Wang, Yujie Zhou, Chun Li, Lin Shang, Bing Xue:
MGEoT: A Multi-grained Ensemble Method for Time Series Classification. PRICAI (1) 2021: 397-410 - [c194]Gonglin Yuan, Bing Xue, Mengjie Zhang:
A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification. PRICAI (1) 2021: 469-484 - [c193]Alistair John McLeay, Abigail McGhie, Dana Briscoe, Ying Bi, Bing Xue, Ross Vennell, Mengjie Zhang:
Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms. SSCI 2021: 1-8 - [i26]Xiangning Xie, Yuqiao Liu, Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang:
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search. CoRR abs/2108.03856 (2021) - [i25]Andrew Lensen
, Bing Xue, Mengjie Zhang:
Genetic Programming for Manifold Learning: Preserving Local Topology. CoRR abs/2108.09914 (2021) - 2020
- [j52]Emrah Hancer
, Bing Xue, Mengjie Zhang:
A survey on feature selection approaches for clustering. Artif. Intell. Rev. 53(6): 4519-4545 (2020) - [j51]Stefano Cagnoni
, Harith Al-Sahaf
, Yanan Sun, Bing Xue, Mengjie Zhang:
Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition. Appl. Soft Comput. 97(Part B): 106675 (2020) - [j50]Ying Bi
, Bing Xue, Mengjie Zhang:
An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier]. IEEE Comput. Intell. Mag. 15(2): 65-77 (2020) - [j49]Andrew Lensen
, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. Evol. Comput. 28(4): 531-561 (2020) - [j48]Andrea De Lorenzo
, Alberto Bartoli, Mauro Castelli
, Eric Medvet
, Bing Xue:
Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence. Genet. Program. Evolvable Mach. 21(1-2): 181-204 (2020) - [j47]Andrew Lensen
, Mengjie Zhang
, Bing Xue
:
Multi-objective genetic programming for manifold learning: balancing quality and dimensionality. Genet. Program. Evolvable Mach. 21(3): 399-431 (2020) - [j46]An-Da Li
, Bing Xue, Mengjie Zhang:
Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection. Inf. Sci. 523: 245-265 (2020) - [j45]Ke Chen
, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks. Knowl. Based Syst. 194: 105568 (2020) - [j44]Wenbin Pei
, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism. Soft Comput. 24(23): 18021-18038 (2020) - [j43]Bach Hoai Nguyen
, Bing Xue, Mengjie Zhang:
A survey on swarm intelligence approaches to feature selection in data mining. Swarm Evol. Comput. 54: 100663 (2020) - [j42]Yanan Sun
, Bing Xue
, Mengjie Zhang
, Gary G. Yen
, Jiancheng Lv
:
Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification. IEEE Trans. Cybern. 50(9): 3840-3854 (2020) - [j41]Bach Hoai Nguyen
, Bing Xue
, Peter Andreae, Hisao Ishibuchi
, Mengjie Zhang
:
Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms. IEEE Trans. Evol. Comput. 24(1): 170-184 (2020) - [j40]Yanan Sun
, Handing Wang
, Bing Xue
, Yaochu Jin
, Gary G. Yen
, Mengjie Zhang
:
Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor. IEEE Trans. Evol. Comput. 24(2): 350-364 (2020) - [j39]Yanan Sun
, Bing Xue
, Mengjie Zhang
, Gary G. Yen
:
Evolving Deep Convolutional Neural Networks for Image Classification. IEEE Trans. Evol. Comput. 24(2): 394-407 (2020) - [j38]Jiabin Lin, Hai-Lin Liu
, Bing Xue
, Mengjie Zhang
, Fangqing Gu:
Multiobjective Multitasking Optimization Based on Incremental Learning. IEEE Trans. Evol. Comput. 24(5): 824-838 (2020) - [j37]Yanan Sun
, Bing Xue
, Mengjie Zhang
, Gary G. Yen
:
Completely Automated CNN Architecture Design Based on Blocks. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1242-1254 (2020) - [c192]Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue:
In Data We Trust: A Critical Analysis of Hate Speech Detection Datasets. WOAH 2020: 150-161 - [c191]Baligh Al-Helali, Qi Chen
, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values. Australasian Conference on Artificial Intelligence 2020: 163-175 - [c190]Baligh Al-Helali, Qi Chen
, Bing Xue, Mengjie Zhang:
Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data. CEC 2020: 1-8 - [c189]Baligh Al-Helali, Qi Chen
, Bing Xue, Mengjie Zhang:
Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data. CEC 2020: 1-8 - [c188]Ying Bi
, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Feature Learning for Facial Expression Classification. CEC 2020: 1-8 - [c187]Ke Chen
, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification. CEC 2020: 1-8 - [c186]Kaan Demir, Bach Hoai Nguyen
, Bing Xue, Mengjie Zhang:
A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection. CEC 2020: 1-8 - [c185]Benjamin P. Evans
, Bing Xue, Mengjie Zhang:
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML. CEC 2020: 1-8 - [c184]Qinglan Fan, Bing Xue, Mengjie Zhang:
A Region Adaptive Image Classification Approach Using Genetic Programming. CEC 2020: 1-8 - [c183]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification. CEC 2020: 1-8 - [c182]Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei
:
Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm. CEC 2020: 1-8 - [c181]Bin Wang, Bing Xue, Mengjie Zhang:
Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks. CEC 2020: 1-8 - [c180]Baligh Al-Helali, Qi Chen
, Bing Xue, Mengjie Zhang:
Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data. EuroGP 2020: 1-17 - [c179]Hayden Andersen, Xiaoying Gao, Bing Xue, Mengjie Zhang:
Evolving network structures for text classification using genetic algorithms. GECCO Companion 2020: 109-110 - [c178]Ying Bi
, Bing Xue, Mengjie Zhang:
Automatically extracting features for face classification using multi-objective genetic programming. GECCO Companion 2020: 117-118 - [c177]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification. GECCO Companion 2020: 149-150 - [c176]Benjamin P. Evans
, Bing Xue, Mengjie Zhang:
Improving generalisation of AutoML systems with dynamic fitness evaluations. GECCO 2020: 324-332 - [c175]Yi Liu, Will N. Browne
, Bing Xue:
Absumption and subsumption based learning classifier systems. GECCO 2020: 368-376 - [c174]Damien O'Neill, Bing Xue, Mengjie Zhang:
Neural architecture search for sparse DenseNets with dynamic compression. GECCO 2020: 386-394 - [c173]Hang Xu, Bing Xue, Mengjie Zhang:
Segmented initialization and offspring modification in evolutionary algorithms for bi-objective feature selection. GECCO 2020: 444-452 - [c172]Baligh Al-Helali, Qi Chen
, Bing Xue, Mengjie Zhang:
Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data. GECCO 2020: 913-921 - [c171]Qi Chen
, Bing Xue, Mengjie Zhang:
Improving symbolic regression based on correlation between residuals and variables. GECCO 2020: 922-930 - [c170]Christian Raymond, Qi Chen
, Bing Xue, Mengjie Zhang:
Adaptive weighted splines: a new representation to genetic programming for symbolic regression. GECCO 2020: 1003-1011 - [c169]Qurrat Ul Ain
, Harith Al-Sahaf
, Bing Xue, Mengjie Zhang:
A genetic programming approach to feature construction for ensemble learning in skin cancer detection. GECCO 2020: 1186-1194 - [c168]Bing Xue, Mengjie Zhang:
Evolutionary computation for feature selection and feature construction. GECCO Companion 2020: 1283-1312 - [c167]Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising. IJCNN 2020: 1-8 - [c166]Gonglin Yuan, Bing Xue, Mengjie Zhang:
A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification. IVCNZ 2020: 1-6 - [c165]Ying Bi
, Bing Xue, Mengjie Zhang:
Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming. PPSN (1) 2020: 3-18 - [c164]Inti Mateus Resende Albuquerque, Bach Hoai Nguyen
, Bing Xue, Mengjie Zhang:
A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection. SSCI 2020: 616-623 - [c163]Wenxin Zhao, Yanan Sun, Bing Xue:
Improved Binary Particle Swarm optimization with Evolutionary Population Dynamic for Key Oncogene Selection. SSCI 2020: 897-904 - [c162]Baligh Al-Helali, Qi Chen
, Bing Xue, Mengjie Zhang:
GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data. SSCI 2020: 905-912 - [c161]Baligh Al-Helali, Qi Chen
, Bing Xue, Mengjie Zhang:
Data Imputation for Symbolic Regression with Missing Values: A Comparative Study. SSCI 2020: 2093-2100 - [c160]Abigail McGhie, Bing Xue, Mengjie Zhang:
GPCNN: Evolving Convolutional Neural Networks using Genetic Programming. SSCI 2020: 2684-2691 - [c159]Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei
:
Evolutionary Design of Long Short Term Memory (LSTM) Ensemble. SSCI 2020: 2692-2698 - [c158]Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue:
A GA-Based Approach to Fine-Tuning BERT for Hate Speech Detection. SSCI 2020: 2821-2828 - [c157]Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue:
Dependency-Based Embedding for Distinguishing Between Hate Speech and Offensive Language. WI/IAT 2020: 860-868 - [p1]Bin Wang, Bing Xue, Mengjie Zhang:
Particle Swarm Optimization for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-Objective Approaches. Deep Neural Evolution 2020: 155-184 - [i24]Andrew Lensen
, Mengjie Zhang, Bing Xue:
Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality. CoRR abs/2001.01331 (2020) - [i23]Benjamin Patrick Evans, Bing Xue, Mengjie Zhang:
Improving generalisation of AutoML systems with dynamic fitness evaluations. CoRR abs/2001.08842 (2020) - [i22]Andrew Lensen
, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation. CoRR abs/2001.09578 (2020) - [i21]Benjamin Patrick Evans, Bing Xue, Mengjie Zhang:
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML. CoRR abs/2001.10178 (2020) - [i20]Bin Wang, Bing Xue, Mengjie Zhang:
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification. CoRR abs/2007.01556 (2020) - [i19]Yuqiao Liu
, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising. CoRR abs/2008.06634 (2020) - [i18]Yuqiao Liu
, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
A Survey on Evolutionary Neural Architecture Search. CoRR abs/2008.10937 (2020) - [i17]Trevor Londt, Xiaoying Gao, Bing Xue, Peter Andreae:
Evolving Character-level Convolutional Neural Networks for Text Classification. CoRR abs/2012.02223 (2020) - [i16]Ying Bi, Bing Xue, Mengjie Zhang:
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning. CoRR abs/2012.09444 (2020)
2010 – 2019
- 2019
- [j36]Su Nguyen
, Yi Mei
, Bing Xue, Mengjie Zhang:
A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules. Evol. Comput. 27(3): 467-496 (2019) - [j35]Binh Tran
, Bing Xue, Mengjie Zhang:
Genetic programming for multiple-feature construction on high-dimensional classification. Pattern Recognit. 93: 404-417 (2019) - [j34]Muhammad Iqbal, Harith Al-Sahaf
, Bing Xue
, Mengjie Zhang:
Genetic programming with transfer learning for texture image classification. Soft Comput. 23(23): 12859-12871 (2019) - [j33]Binh Tran
, Bing Xue
, Mengjie Zhang
:
Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification. IEEE Trans. Evol. Comput. 23(3): 473-487 (2019) - [j32]Qi Chen
, Bing Xue
, Mengjie Zhang
:
Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators. IEEE Trans. Evol. Comput. 23(3): 488-502 (2019) - [j31]Qi Chen
, Mengjie Zhang
, Bing Xue
:
Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression. IEEE Trans. Evol. Comput. 23(4): 703-717 (2019) - [j30]Yanan Sun
, Bing Xue
, Mengjie Zhang
, Gary G. Yen
:
A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 23(5): 748-761 (2019) - [j29]Yu Xue, Bing Xue, Mengjie Zhang:
Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification. ACM Trans. Knowl. Discov. Data 13(5): 50:1-50:27 (2019) - [j28]Yanan Sun
, Bing Xue
, Mengjie Zhang
, Gary G. Yen
:
A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 30(8): 2295-2309 (2019) - [c156]Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry. ACPR (2) 2019: 449-463 - [c155]Baligh Al-Helali, Qi Chen
, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data. ACPR (2) 2019: 566-579 - [c154]Juhini Desai, Bach Hoai Nguyen
, Bing Xue:
Multi-label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms. Australasian Conference on Artificial Intelligence 2019: 510-522 - [c153]Baligh Al-Helali, Qi Chen
, Bing Xue, Mengjie Zhang:
Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data. Australasian Conference on Artificial Intelligence 2019: 523-535 - [c152]William Irwin-Harris, Yanan Sun
, Bing Xue, Mengjie Zhang:
A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design. CEC 2019: 546-553 - [c151]Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei
:
Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition. CEC 2019: 554-561 - [c150]Thomas Watts, Bing Xue, Mengjie Zhang:
Blocky Net: A New NeuroEvolution Method. CEC 2019: 586-593 - [c149]Qurrat Ul Ain
, Bing Xue, Harith Al-Sahaf
, Mengjie Zhang:
Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection. CEC 2019: 880-887 - [c148]Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang:
Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning. CEC 2019: 2260-2267 - [c147]Will Pearson, Cao Truong Tran
, Mengjie Zhang, Bing Xue:
Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data. CEC 2019: 2544-2551 - [c146]Christian Raymond, Qi Chen
, Bing Xue, Mengjie Zhang:
Genetic Programming with Rademacher Complexity for Symbolic Regression. CEC 2019: 2657-2664 - [c145]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data. CEC 2019: 2779-2786 - [c144]Qi Chen
, Bing Xue, Mengjie Zhang:
Instance based Transfer Learning for Genetic Programming for Symbolic Regression. CEC 2019: 3006-3013 - [c143]Ying Bi
, Bing Xue, Mengjie Zhang:
An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification. CEC 2019: 3197-3204 - [c142]Samaneh Azari, Mengjie Zhang, Bing Xue, Lifeng Peng:
Learning to Rank Peptide-Spectrum Matches Using Genetic Programming. CEC 2019: 3244-3251 - [c141]Andrew Lensen
, Bing Xue
, Mengjie Zhang:
Can Genetic Programming Do Manifold Learning Too? EuroGP 2019: 114-130 - [c140]Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry Using Genetic Algorithm. EvoApplications 2019: 72-89 - [c139]Shima Afzali, Harith Al-Sahaf
, Bing Xue, Christopher Hollitt, Mengjie Zhang:
Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection. EvoApplications 2019: 308-324 - [c138]Qi Chen
, Bing Xue, Mengjie Zhang:
Differential evolution for instance based transfer learning in genetic programming for symbolic regression. GECCO (Companion) 2019: 161-162 - [c137]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification. GECCO (Companion) 2019: 187-188 - [c136]Brandon Muller, Harith Al-Sahaf
, Bing Xue, Mengjie Zhang:
Transfer learning: a building block selection mechanism in genetic programming for symbolic regression. GECCO (Companion) 2019: 350-351 - [c135]Ying Bi
, Bing Xue, Mengjie Zhang:
An automated ensemble learning framework using genetic programming for image classification. GECCO 2019: 365-373 - [c134]Yi Liu, Will N. Browne
, Bing Xue:
Absumption to complement subsumption in learning classifier systems. GECCO 2019: 410-418 - [c133]Bach Hoai Nguyen
, Bing Xue, Mengjie Zhang, Peter Andreae:
Population-based ensemble classifier induction for domain adaptation. GECCO 2019: 437-445 - [c132]Binh Tran
, Bing Xue, Mengjie Zhang:
Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification. GECCO 2019: 481-489 - [c131]Bin Wang, Yanan Sun
, Bing Xue, Mengjie Zhang:
Evolving deep neural networks by multi-objective particle swarm optimization for image classification. GECCO 2019: 490-498 - [c130]Benjamin P. Evans
, Bing Xue, Mengjie Zhang:
What's inside the black-box?: a genetic programming method for interpreting complex machine learning models. GECCO 2019: 1012-1020 - [c129]Qurrat Ul Ain
, Bing Xue, Harith Al-Sahaf
, Mengjie Zhang:
Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification. IVCNZ 2019: 1-6 - [c128]Damien O'Neill, Bing Xue, Mengjie Zhang:
The Evolution of Adjacency Matrices for Sparsity of Connection in DenseNets. IVCNZ 2019: 1-6 - [c127]Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
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. PRICAI (3) 2019: 474-487 - [c126]Bin Wang, Yanan Sun
, Bing Xue, Mengjie Zhang:
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks. PRICAI (3) 2019: 650-663 - [c125]Juhini Desai, Bach Hoai Nguyen
, Bing Xue:
Multi-Label Feature Selection Using Particle Swarm Optimization: Novel Local Search Mechanisms. SSCI 2019: 1762-1769 - [c124]Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang:
A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification. SSCI 2019: 1770-1777 - [c123]Baligh Al-Helali, Qi Chen
, Bing Xue, Mengjie Zhang:
A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data. SSCI 2019: 2395-2402 - [i15]Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry using Genetic Algorithm. CoRR abs/1902.00845 (2019) - [i14]Andrew Lensen
, Bing Xue, Mengjie Zhang:
Can Genetic Programming Do Manifold Learning Too? CoRR abs/1902.02949 (2019) - [i13]Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks. CoRR abs/1903.03893 (2019) - [i12]Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification. CoRR abs/1904.09035 (2019) - [i11]Bin Wang, Bing Xue, Mengjie Zhang:
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks. CoRR abs/1907.12659 (2019) - [i10]Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
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. CoRR abs/1908.08010 (2019) - [i9]Benjamin Patrick Evans, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification. CoRR abs/1909.13030 (2019) - [i8]Andrew Lensen
, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. CoRR abs/1910.10264 (2019) - 2018
- [j27]Cao Truong Tran
, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui:
Improving performance of classification on incomplete data using feature selection and clustering. Appl. Soft Comput. 73: 848-861 (2018) - [j26]Wenlong Fu, Bing Xue
, Mengjie Zhang, Mark Johnston:
Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes]. IEEE Comput. Intell. Mag. 13(4): 46-58 (2018) - [j25]Emrah Hancer
, Bing Xue, Mengjie Zhang, Dervis Karaboga
, Bahriye Akay
:
Pareto front feature selection based on artificial bee colony optimization. Inf. Sci. 422: 462-479 (2018) - [j24]Emrah Hancer
, Bing Xue, Mengjie Zhang:
Differential evolution for filter feature selection based on information theory and feature ranking. Knowl. Based Syst. 140: 103-119 (2018) - [j23]Cao Truong Tran
, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui:
An effective and efficient approach to classification with incomplete data. Knowl. Based Syst. 154: 1-16 (2018) - [j22]Bach Hoai Nguyen
, Bing Xue, Peter Andreae:
PSO with surrogate models for feature selection: static and dynamic clustering-based methods. Memetic Comput. 10(3): 291-300 (2018) - [j21]Binh Tran
, Bing Xue, Mengjie Zhang:
A New Representation in PSO for Discretization-Based Feature Selection. IEEE Trans. Cybern. 48(6): 1733-1746 (2018) - [c122]Qurrat Ul Ain
, Harith Al-Sahaf
, Bing Xue, Mengjie Zhang:
A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features. Australasian Conference on Artificial Intelligence 2018: 111-123 - [c121]Shima Afzali, Harith Al-Sahaf
, Bing Xue, Christopher Hollitt, Mengjie Zhang:
A Genetic Programming Approach for Constructing Foreground and Background Saliency Features for Salient Object Detection. Australasian Conference on Artificial Intelligence 2018: 209-215 - [c120]Bin Wang, Yanan Sun
, Bing Xue, Mengjie Zhang:
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification. Australasian Conference on Artificial Intelligence 2018: 237-250 - [c119]Ying Bi
, Bing Xue, Mengjie Zhang:
A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification. Australasian Conference on Artificial Intelligence 2018: 251-257 - [c118]Baligh Al-Helali, Qi Chen
, Bing Xue, Mengjie Zhang:
A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values. Australasian Conference on Artificial Intelligence 2018: 345-357 - [c117]Yi Liu, Will N. Browne
, Bing Xue:
Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches. Australasian Conference on Artificial Intelligence 2018: 397-409 - [c116]Ke Chen
, Fengyu Zhou, Bing Xue:
Particle Swarm Optimization for Feature Selection with Adaptive Mechanism and New Updating Strategy. Australasian Conference on Artificial Intelligence 2018: 419-431 - [c115]Cao Truong Tran
, Mengjie Zhang, Bing Xue, Peter Andreae:
Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data. Australasian Conference on Artificial Intelligence 2018: 577-589 - [c114]Damien O'Neill, Bing Xue, Mengjie Zhang:
Co-evolution of Novel Tree-Like ANNs and Activation Functions: An Observational Study. Australasian Conference on Artificial Intelligence 2018: 616-629 - [c113]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data. Australasian Conference on Artificial Intelligence 2018: 643-655 - [c112]Samaneh Azari, Mengjie Zhang, Bing Xue, Lifeng Peng:
Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification. CEC 2018: 1-8 - [c111]Xiaohan Bai, Xiaoying Gao, Bing Xue
:
Particle Swarm Optimization Based Two-Stage Feature Selection in Text Mining. CEC 2018: 1-8 - [c110]Ying Bi
, Mengjie Zhang, Bing Xue:
Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification. CEC 2018: 1-8 - [c109]Benjamin P. Evans
, Harith Al-Sahaf
, Bing Xue, Mengjie Zhang:
Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification. CEC 2018: 1-6 - [c108]Damien O'Neill, Andrew Lensen
, Bing Xue
, Mengjie Zhang:
Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering. CEC 2018: 1-8 - [c107]Yanan Sun
, Bing Xue, Mengjie Zhang, Gary G. Yen
:
An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders. CEC 2018: 1-8 - [c106]Bin Wang, Yanan Sun
, Bing Xue
, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification. CEC 2018: 1-8 - [c105]Andrew Lensen
, Bing Xue
, Mengjie Zhang:
Generating Redundant Features with Unsupervised Multi-tree Genetic Programming. EuroGP 2018: 84-100 - [c104]Yi Liu, Will N. Browne
, Bing Xue:
Adapting Bagging and Boosting to Learning Classifier Systems. EvoApplications 2018: 405-420 - [c103]Ying Bi
, Bing Xue, Mengjie Zhang:
An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming. EvoApplications 2018: 421-438 - [c102]Bach Hoai Nguyen
, Bing Xue
, Peter Andreae:
A particle swarm optimization based feature selection approach to transfer learning in classification. GECCO 2018: 37-44 - [c101]Andrew Lensen
, Bing Xue
, Mengjie Zhang:
Automatically evolving difficult benchmark feature selection datasets with genetic programming. GECCO 2018: 458-465 - [c100]Bing Xue
, Mengjie Zhang:
Evolutionary computation for feature selection and feature construction. GECCO (Companion) 2018: 1198-1220 - [c99]Antonio J. Tallón-Ballesteros, Luís Correia
, Bing Xue:
Featuring the Attributes in Supervised Machine Learning. HAIS 2018: 350-362 - [c98]Zeyu Mi, Lin Shang, Bing Xue:
Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes. ICONIP (2) 2018: 486-497 - [c97]Antonio J. Tallón-Ballesteros
, Milan Tuba
, Bing Xue
, Takako Hashimoto:
Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms. IDEAL (2) 2018: 280-287 - [c96]Shima Afzali, Harith Al-Sahaf
, Bing Xue, Christopher Hollitt, Mengjie Zhang:
Foreground and Background Feature Fusion Using a Convex Hull Based Center Prior for Salient Object Detection. IVCNZ 2018: 1-9 - [c95]Qurrat Ul Ain
, Bing Xue, Harith Al-Sahaf
, Mengjie Zhang:
Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification. PRICAI (1) 2018: 732-745 - [e2]Tanja Mitrovic, Bing Xue, Xiaodong Li:
AI 2018: Advances in Artificial Intelligence - 31st Australasian Joint Conference, Wellington, New Zealand, December 11-14, 2018, Proceedings. Lecture Notes in Computer Science 11320, Springer 2018, ISBN 978-3-030-03990-5 [contents] - [i7]Andrew Lensen
, Bing Xue, Mengjie Zhang:
Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming. CoRR abs/1802.00554 (2018) - [i6]Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification. CoRR abs/1803.06492 (2018) - [i5]Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification. CoRR abs/1808.03818 (2018) - [i4]Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification. CoRR abs/1808.06661 (2018) - [i3]Yanan Sun, Bing Xue, Mengjie Zhang:
Automatically Evolving CNN Architectures Based on Blocks. CoRR abs/1810.11875 (2018) - 2017
- [j20]Bing Xue:
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. 18(3): 407-409 (2017) - [j19]Harith Al-Sahaf
, Ausama Al-Sahaf
, Bing Xue, Mark Johnston, Mengjie Zhang:
Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming. IEEE Trans. Evol. Comput. 21(1): 83-101 (2017) - [j18]Muhammad Iqbal
, Bing Xue, Harith Al-Sahaf
, Mengjie Zhang:
Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification. IEEE Trans. Evol. Comput. 21(4): 569-587 (2017) - [j17]Qi Chen
, Mengjie Zhang, Bing Xue
:
Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. IEEE Trans. Evol. Comput. 21(5): 792-806 (2017) - [j16]Yi Mei
, Su Nguyen
, Bing Xue, Mengjie Zhang:
An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming. IEEE Trans. Emerg. Top. Comput. Intell. 1(5): 339-353 (2017) - [c94]Jiatong Huo, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing. Australasian Conference on Artificial Intelligence 2017: 169-181 - [c93]Binh Tran
, Bing Xue, Mengjie Zhang:
Class Dependent Multiple Feature Construction Using Genetic Programming for High-Dimensional Data. Australasian Conference on Artificial Intelligence 2017: 182-194 - [c92]Bach Hoai Nguyen
, Bing Xue
, Peter Andreae, Mengjie Zhang:
Particle Swarm Optimisation with genetic operators for feature selection. CEC 2017: 286-293 - [c91]Tessa Phillips
, Mengjie Zhang, Bing Xue:
Genetic programming for solving common and domain-independent generic recursive problems. CEC 2017: 1279-1286 - [c90]Damien O'Neill, Harith Al-Sahaf
, Bing Xue, Mengjie Zhang:
Common subtrees in related problems: A novel transfer learning approach for genetic programming. CEC 2017: 1287-1294 - [c89]Qurrat Ul Ain
, Bing Xue
, Harith Al-Sahaf
, Mengjie Zhang:
Genetic programming for skin cancer detection in dermoscopic images. CEC 2017: 2420-2427 - [c88]Binh Tran
, Bing Xue, Mengjie Zhang:
Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data. EuroGP 2017: 210-226 - [c87]Qi Chen
, Bing Xue
, Yi Mei
, Mengjie Zhang:
Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression. EuroGP 2017: 229-245 - [c86]Cao Truong Tran
, Mengjie Zhang, Peter Andreae, Bing Xue:
Bagging and Feature Selection for Classification with Incomplete Data. EvoApplications (1) 2017: 471-486 - [c85]Bach Hoai Nguyen
, Bing Xue
, Peter Andreae:
Surrogate-Model Based Particle Swarm Optimisation with Local Search for Feature Selection in Classification. EvoApplications (1) 2017: 487-505 - [c84]Andrew Lensen
, Bing Xue, Mengjie Zhang:
Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering. EvoApplications (1) 2017: 538-554 - [c83]Chengyan Wang, Bing Xue, Lin Shang:
PSO-based parameters selection for the bilateral filter in image denoising. GECCO 2017: 51-58 - [c82]Bach Hoai Nguyen, Bing Xue, Hisao Ishibuchi, Peter Andreae, Mengjie Zhang:
Multiple reference points MOEA/D for feature selection. GECCO (Companion) 2017: 157-158 - [c81]Harith Al-Sahaf
, Bing Xue, Mengjie Zhang:
Evolving texture image descriptors using a multitree genetic programming representation. GECCO (Companion) 2017: 219-220 - [c80]Qi Chen, Mengjie Zhang, Bing Xue
:
New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation. GECCO (Companion) 2017: 223-224 - [c79]Andrew Lensen
, Bing Xue
, Mengjie Zhang:
Improving k-means clustering with genetic programming for feature construction. GECCO (Companion) 2017: 237-238 - [c78]Andrew Lensen
, Bing Xue
, Mengjie Zhang:
GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach. GECCO 2017: 449-456 - [c77]Cao Truong Tran
, Mengjie Zhang, Peter Andreae, Bing Xue:
Multiple imputation and genetic programming for classification with incomplete data. GECCO 2017: 521-528 - [c76]Cao Truong Tran
, Mengjie Zhang, Peter Andreae, Bing Xue:
Genetic programming based feature construction for classification with incomplete data. GECCO 2017: 1033-1040 - [c75]Ying Bi
, Mengjie Zhang, Bing Xue:
An automatic region detection and processing approach in genetic programming for binary image classification. IVCNZ 2017: 1-6 - [c74]Qi Chen
, Mengjie Zhang, Bing Xue
:
Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression. SEAL 2017: 422-434 - [c73]Yi Liu, Bing Xue, Will N. Browne
:
Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning. SEAL 2017: 448-461 - [c72]Harith Al-Sahaf
, Bing Xue, Mengjie Zhang:
A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors. SEAL 2017: 499-511 - [c71]Andrew Lensen
, Bing Xue
, Mengjie Zhang:
New Representations in Genetic Programming for Feature Construction in k-Means Clustering. SEAL 2017: 543-555 - [c70]Wenlong Fu, Bing Xue
, Mengjie Zhang, Xiaoying Gao:
Transductive Transfer Learning in Genetic Programming for Document Classification. SEAL 2017: 556-568 - [c69]Binh Tran
, Stjepan Picek, Bing Xue:
Automatic Feature Construction for Network Intrusion Detection. SEAL 2017: 569-580 - [c68]Bach Hoai Nguyen
, Bing Xue, Peter Andreae:
A Hybrid GA-GP Method for Feature Reduction in Classification. SEAL 2017: 591-604 - [c67]Shima Afzali, Bing Xue, Harith Al-Sahaf
, Mengjie Zhang:
A supervised feature weighting method for salient object detection using particle swarm optimization. SSCI 2017: 1-8 - [c66]Emrah Hancer
, Bing Xue, Mengjie Zhang:
A differential evolution based feature selection approach using an improved filter criterion. SSCI 2017: 1-8 - [c65]Yu Xue, Jiongming Jiang, Bing Xue, Mengjie Zhang:
A classification method based on self-adaptive artificial bee colony. SSCI 2017: 1-8 - [i2]Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks for Image Classification. CoRR abs/1710.10741 (2017) - [i1]Yanan Sun, Bing Xue, Mengjie Zhang:
A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification. CoRR abs/1712.05042 (2017) - 2016
- [j15]Binh Tran
, Bing Xue
, Mengjie Zhang, Su Nguyen
:
Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias. Connect. Sci. 28(3): 270-294 (2016) - [j14]Cao Truong Tran
, Mengjie Zhang, Peter Andreae, Bing Xue:
Improving performance for classification with incomplete data using wrapper-based feature selection. Evol. Intell. 9(3): 81-94 (2016) - [j13]Bach Hoai Nguyen
, Bing Xue, Peter Andreae:
Mutual information for feature selection: estimation or counting? Evol. Intell. 9(3): 95-110 (2016) - [j12]Binh Tran
, Bing Xue
, Mengjie Zhang:
Genetic programming for feature construction and selection in classification on high-dimensional data. Memetic Comput. 8(1): 3-15 (2016) - [j11]Bing Xue, Gang Chen:
Guest editorial: special issue on evolutionary optimization, feature reduction and learning. Soft Comput. 20(10): 3771-3773 (2016) - [j10]Bach Hoai Nguyen
, Bing Xue, Ivy Liu
, Peter Andreae, Mengjie Zhang:
New mechanism for archive maintenance in PSO-based multi-objective feature selection. Soft Comput. 20(10): 3927-3946 (2016) - [j9]Bing Xue
, Mengjie Zhang, Will N. Browne
, Xin Yao
:
A Survey on Evolutionary Computation Approaches to Feature Selection. IEEE Trans. Evol. Comput. 20(4): 606-626 (2016) - [c64]Bach Hoai Nguyen
, Bing Xue, Mengjie Zhang:
A Subset Similarity Guided Method for Multi-objective Feature Selection. ACALCI 2016: 298-310 - [c63]Bing Xue, Mengjie Zhang:
Evolutionary computation for feature manipulation: Key challenges and future directions. CEC 2016: 3061-3067 - [c62]Muhammad Iqbal, Mengjie Zhang, Bing Xue:
Improving classification on images by extracting and transferring knowledge in genetic programming. CEC 2016: 3582-3589 - [c61]Edward Haslam, Bing Xue, Mengjie Zhang:
Further investigation on genetic programming with transfer learning for symbolic regression. CEC 2016: 3598-3605 - [c60]Qi Chen
, Bing Xue
, Ben Niu, Mengjie Zhang:
Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection. CEC 2016: 3793-3800 - [c59]Binh Tran
, Mengjie Zhang, Bing Xue
:
A PSO based hybrid feature selection algorithm for high-dimensional classification. CEC 2016: 3801-3808 - [c58]Tessa Phillips
, Mengjie Zhang, Bing Xue:
Genetic programming for evolving programs with recursive structures. CEC 2016: 5044-5051 - [c57]Andrew Lensen
, Harith Al-Sahaf
, Mengjie Zhang, Bing Xue
:
Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data. EuroGP 2016: 51-67 - [c56]Soha Ahmed, Mengjie Zhang, Lifeng Peng
, Bing Xue:
A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data. EvoApplications (1) 2016: 106-122 - [c55]Cao Truong Tran
, Mengjie Zhang, Peter Andreae, Bing Xue:
A Wrapper Feature Selection Approach to Classification with Missing Data. EvoApplications (1) 2016: 685-700 - [c54]Binh Tran
, Bing Xue, Mengjie Zhang:
Bare-Bone Particle Swarm Optimisation for Simultaneously Discretising and Selecting Features for High-Dimensional Classification. EvoApplications (1) 2016: 701-718 - [c53]Bach Hoai Nguyen
, Bing Xue, Peter Andreae:
Mutual Information Estimation for Filter Based Feature Selection Using Particle Swarm Optimization. EvoApplications (1) 2016: 719-736 - [c52]Cao Truong Tran
, Mengjie Zhang, Peter Andreae, Bing Xue:
Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions. GECCO (Companion) 2016: 69-70 - [c51]Yi Mei
, Bing Xue, Mengjie Zhang:
Fast Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference. GECCO 2016: 469-476 - [c50]Qi Chen
, Bing Xue
, Lin Shang, Mengjie Zhang:
Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation. GECCO 2016: 709-716 - [c49]Mengjie Zhang, Bing Xue
:
Evolutionary Computation for Feature Selection and Feature Construction. GECCO (Companion) 2016: 861-881 - [c48]Qi Chen, Mengjie Zhang, Bing Xue
:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 87-102 - [c47]Bach Hoai Nguyen, Bing Xue, Peter Andreae:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 319-332 - [c46]Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 401-415 - [c45]Jianbin Ma
, Bing Xue, Mengjie Zhang:
A Profile-Based Authorship Attribution Approach to Forensic Identification in Chinese Online Messages. PAISI 2016: 33-52 - [c44]Muhammad Iqbal, Bing Xue, Mengjie Zhang:
Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems. PAKDD (2) 2016: 117-129 - [c43]Jiaheng Wang
, Bing Xue, Xiaoying Gao, Mengjie Zhang:
A Differential Evolution Approach to Feature Selection and Instance Selection. PRICAI 2016: 588-602 - [c42]Andrew Lensen
, Bing Xue
, Mengjie Zhang:
Particle swarm optimisation representations for simultaneous clustering and feature selection. SSCI 2016: 1-8 - [c41]Binh Tran
, Mengjie Zhang, Bing Xue:
Multiple feature construction in classification on high-dimensional data using GP. SSCI 2016: 1-8 - [c40]Bing Xue, Mitchell C. Lane, Ivy Liu
, Mengjie Zhang:
Dimension reduction in classification using particle swarm optimisation and statistical variable grouping information. SSCI 2016: 1-8 - 2015
- [j8]Emrah Hancer
, Bing Xue, Dervis Karaboga
, Mengjie Zhang:
A binary ABC algorithm based on advanced similarity scheme for feature selection. Appl. Soft Comput. 36: 334-348 (2015) - [j7]Bing Xue, Mengjie Zhang, Will N. Browne
:
A Comprehensive Comparison on Evolutionary Feature Selection Approaches to Classification. Int. J. Comput. Intell. Appl. 14(2): 1550008:1-1550008:23 (2015) - [c39]Tony Butler-Yeoman, Bing Xue, Mengjie Zhang:
Particle Swarm Optimisation for Feature Selection: A Size-Controlled Approach. AusDM 2015: 151-159 - [c38]Qi Chen
, Bing Xue, Mengjie Zhang:
Generalisation and domain adaptation in GP with gradient descent for symbolic regression. CEC 2015: 1137-1144 - [c37]Chahine Koleejan, Bing Xue, Mengjie Zhang:
Code coverage optimisation in genetic algorithms and particle swarm optimisation for automatic software test data generation. CEC 2015: 1204-1211 - [c36]Emrah Hancer
, Bing Xue, Mengjie Zhang, Dervis Karaboga
, Bahriye Akay
:
A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information. CEC 2015: 2420-2427 - [c35]Tony Butler-Yeoman, Bing Xue
, Mengjie Zhang:
Particle swarm optimisation for feature selection: A hybrid filter-wrapper approach. CEC 2015: 2428-2435 - [c34]Bach Hoai Nguyen
, Bing Xue, Ivy Liu
, Peter Andreae, Mengjie Zhang:
Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection. EvoApplications 2015: 541-553 - [c33]Andrew Lensen
, Harith Al-Sahaf
, Mengjie Zhang, Bing Xue
:
A hybrid Genetic Programming approach to feature detection and image classification. IVCNZ 2015: 1-6 - [e1]Mario Köppen, Bing Xue, Hideyuki Takagi, Ajith Abraham, Azah Kamilah Muda, Kun Ma:
7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015, Fukuoka, Japan, November 13-15, 2015. IEEE 2015, ISBN 978-1-4673-9360-7 [contents] - 2014
- [b1]Bing Xue:
Particle Swarm Optimisation for Feature Selection in Classification. Victoria University of Wellington, New Zealand, 2014 - [j6]Bing Xue
, Mengjie Zhang, Will N. Browne
:
Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms. Appl. Soft Comput. 18: 261-276 (2014) - [j5]Bing Xue, Liam Cervante, Lin Shang, Will N. Browne
, Mengjie Zhang:
Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach. Int. J. Comput. Intell. Appl. 13(2) (2014) - [c32]Bach Hoai Nguyen
, Bing Xue, Ivy Liu
, Mengjie Zhang:
Filter based backward elimination in wrapper based PSO for feature selection in classification. IEEE Congress on Evolutionary Computation 2014: 3111-3118 - [c31]Bing Xue
, A. Kai Qin
, Mengjie Zhang:
An archive based particle swarm optimisation for feature selection in classification. IEEE Congress on Evolutionary Computation 2014: 3119-3126 - [c30]Mitchell C. Lane, Bing Xue
, Ivy Liu, Mengjie Zhang:
Gaussian Based Particle Swarm Optimisation and Statistical Clustering for Feature Selection. EvoCOP 2014: 133-144 - [c29]Yan Dai, Bing Xue, Mengjie Zhang:
New Representations in PSO for Feature Construction in Classification. EvoApplications 2014: 476-488 - [c28]Bing Xue
, Su Nguyen
, Mengjie Zhang:
A New Binary Particle Swarm Optimisation Algorithm for Feature Selection. EvoApplications 2014: 501-513 - [c27]Bing Xue, Wenlong Fu, Mengjie Zhang:
Differential evolution (DE) for multi-objective feature selection in classification. GECCO (Companion) 2014: 83-84 - [c26]Soha Ahmed, Mengjie Zhang, Lifeng Peng
, Bing Xue:
Multiple feature construction for effective biomarker identification and classification using genetic programming. GECCO 2014: 249-256 - [c25]Binh Tran
, Bing Xue, Mengjie Zhang:
Improved PSO for Feature Selection on High-Dimensional Datasets. SEAL 2014: 503-515 - [c24]Bing Xue, Wenlong Fu, Mengjie Zhang:
Multi-objective Feature Selection in Classification: A Differential Evolution Approach. SEAL 2014: 516-528 - [c23]Bach Hoai Nguyen
, Bing Xue, Ivy Liu, Mengjie Zhang:
PSO and Statistical Clustering for Feature Selection: A New Representation. SEAL 2014: 569-581 - [c22]Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue:
Genetic Programming for Measuring Peptide Detectability. SEAL 2014: 593-604 - [c21]Binh Tran
, Bing Xue
, Mengjie Zhang:
Overview of Particle Swarm Optimisation for Feature Selection in Classification. SEAL 2014: 605-617 - 2013
- [j4]Bing Xue, Liam Cervante, Lin Shang, Will N. Browne
, Mengjie Zhang:
Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification. Int. J. Artif. Intell. Tools 22(4) (2013) - [j3]Bing Xue
, Mengjie Zhang, Will N. Browne
:
Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach. IEEE Trans. Cybern. 43(6): 1656-1671 (2013) - [c20]Mitchell C. Lane, Bing Xue
, Ivy Liu
, Mengjie Zhang:
Particle Swarm Optimisation and Statistical Clustering for Feature Selection. Australasian Conference on Artificial Intelligence 2013: 214-220 - [c19]Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang:
Binary particle swarm optimisation and rough set theory for dimension reduction in classification. IEEE Congress on Evolutionary Computation 2013: 2428-2435 - [c18]Aneta Stevanovic, Bing Xue
, Mengjie Zhang:
Feature selection based on PSO and decision-theoretic rough set model. IEEE Congress on Evolutionary Computation 2013: 2840-2847 - [c17]Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang:
A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory. EvoCOP 2013: 25-36 - [c16]Bing Xue
, Mengjie Zhang, Will N. Browne
:
Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification. EvoApplications 2013: 428-438 - [c15]Bing Xue, Mengjie Zhang, Yan Dai, Will N. Browne
:
PSO for feature construction and binary classification. GECCO 2013: 137-144 - 2012
- [j2]Bing Xue
, Liam Cervante, Lin Shang, Will N. Browne
, Mengjie Zhang:
A multi-objective particle swarm optimisation for filter-based feature selection in classification problems. Connect. Sci. 24(2-3): 91-116 (2012) - [j1]Ben Niu, Yan Fan, Han Xiao, Bing Xue:
Bacterial foraging based approaches to portfolio optimization with liquidity risk. Neurocomputing 98: 90-100 (2012) - [c14]Bing Xue, Mengjie Zhang, Will N. Browne:
Single Feature Ranking and Binary Particle Swarm Optimisation Based Feature Subset Ranking for Feature Selection. ACSC 2012: 27-36 - [c13]Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang:
A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory. Australasian Conference on Artificial Intelligence 2012: 313-325 - [c12]Liam Cervante, Bing Xue
, Mengjie Zhang, Lin Shang:
Binary particle swarm optimisation for feature selection: A filter based approach. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c11]Bing Xue
, Mengjie Zhang, Will N. Browne
:
New fitness functions in binary particle swarm optimisation for feature selection. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c10]Bing Xue
, Mengjie Zhang, Will N. Browne
:
Multi-objective particle swarm optimisation (PSO) for feature selection. GECCO 2012: 81-88 - [c9]Bing Xue
, Liam Cervante, Lin Shang, Mengjie Zhang:
A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification. PRICAI 2012: 673-685 - 2010
- [c8]Ben Niu, Lijing Tan, Bing Xue, Li Li, Yujuan Chai:
Constrained portfolio selection using multiple swarms. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c7]Li Li, Bing Xue, Lijing Tan, Ben Niu:
Improved Particle Swarm Optimizers with Application on Constrained Portfolio Selection. ICIC (1) 2010: 579-586
2000 – 2009
- 2009
- [c6]Ben Niu, Bing Xue, Li Li, Yujuan Chai:
Symbiotic Multi-swarm PSO for Portfolio Optimization. ICIC (2) 2009: 776-784 - [c5]Li Li, Bing Xue, Ben Niu, Lijing Tan, Jixian Wang:
A Novel Particle Swarm Optimization with Non-linear Inertia Weight Based on Tangent Function. ICIC (2) 2009: 785-793 - 2005
- [c4]Bing Xue, Xing-peng Chen, Xing-li Yu, Hong Miao, Xue-sen Tuo:
A research on the evolution of ecological environment and resources exploitation in Xinjiang. IGARSS 2005: 4 - [c3]Bing Xue, Xing-peng Chen, Yan Huang, Yong-jin Li, Yong Liu:
A study on the landscape structure and change of the valley-city: case of Lanzhou. IGARSS 2005: 1526-1529 - [c2]Qing-guang Liu, Xing-peng Chen, Hong Miao, Li-min Gao, Bing Xue:
Land cover changes and some proposals for promoting sustainable development in the source regions of the Yellow River, China. IGARSS 2005: 2394-2397 - [c1]Xing-li Yu, Xing-peng Chen, Bing Xue:
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. IGARSS 2005: 5336-5339
Coauthor Index
aka: Will Neil Browne
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