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2020 – today
- 2021
[j143]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)- [j142]Wenlong Fu, Bing Xue, Xiaoying Gao
, Mengjie Zhang:
Output-based transfer learning in genetic programming for document classification. Knowl. Based Syst. 212: 106597 (2021) - [j141]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) - 2020
- [j140]Emrah Hancer, Bing Xue, Mengjie Zhang:
A survey on feature selection approaches for clustering. Artif. Intell. Rev. 53(6): 4519-4545 (2020) - [j139]Mengjie Zhang, Huanhuan Feng, Hailing Luo, Zhigang Li, Xiaoshuan Zhang:
Comfort and health evaluation of live mutton sheep during the transportation based on wearable multi-sensor system. Comput. Electron. Agric. 176: 105632 (2020) - [j138]Mengjie Zhang, Kay Chen Tan:
Conference Report on 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019) [Conference Reports]. IEEE Comput. Intell. Mag. 15(1): 4-5 (2020) - [j137]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) - [j136]Yuxin Liu, Yi Mei, Mengjie Zhang, Zili Zhang:
A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for the Uncertain Capacitated Arc Routing Problem. Evol. Comput. 28(2): 289-316 (2020) - [j135]Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. Evol. Comput. 28(4): 531-561 (2020) - [j134]Jordan MacLachlan, Yi Mei, Jürgen Branke, Mengjie Zhang:
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems. Evol. Comput. 28(4): 563-593 (2020) - [j133]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) - [j132]Sam Fletcher, Brijesh K. Verma, Mengjie Zhang:
A non-specialized ensemble classifier using multi-objective optimization. Neurocomputing 409: 93-102 (2020) - [j131]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) - [j130]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) - [j129]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) - [j128]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) - [j127]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) - [j126]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) - [j125]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) - [j124]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) - [j123]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) - [j122]Alexandre Sawczuk da Silva, Hui Ma, Yi Mei, Mengjie Zhang:
A Survey of Evolutionary Computation for Web Service Composition: A Technical Perspective. IEEE Trans. Emerg. Top. Comput. Intell. 4(4): 538-554 (2020) - [j121]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) - [c508]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
A Parametric Framework for Genetic Programming with Transfer Learning for Uncertain Capacitated Arc Routing Problem. Australasian Conference on Artificial Intelligence 2020: 150-162 - [c507]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 - [c506]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 - [c505]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 - [c504]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems. CEC 2020: 1-8 - [c503]Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Feature Learning for Facial Expression Classification. CEC 2020: 1-8 - [c502]Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification. CEC 2020: 1-8 - [c501]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Cluster-based Hyper-Heuristic for Large-Scale Vehicle Routing Problem. CEC 2020: 1-8 - [c500]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 - [c499]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 - [c498]Qinglan Fan, Bing Xue, Mengjie Zhang:
A Region Adaptive Image Classification Approach Using Genetic Programming. CEC 2020: 1-8 - [c497]Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling. CEC 2020: 1-8 - [c496]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 - [c495]Shaolin Wang, Yi Mei, Mengjie Zhang:
A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems. CEC 2020: 1-8 - [c494]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 - [c493]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 - [c492]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling. EuroGP 2020: 262-278 - [c491]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling. EvoCOP 2020: 214-230 - [c490]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming. GECCO Companion 2020: 107-108 - [c489]Hayden Andersen, Xiaoying Gao, Bing Xue, Mengjie Zhang:
Evolving network structures for text classification using genetic algorithms. GECCO Companion 2020: 109-110 - [c488]Ying Bi, Bing Xue, Mengjie Zhang:
Automatically extracting features for face classification using multi-objective genetic programming. GECCO Companion 2020: 117-118 - [c487]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 - [c486]Benjamin P. Evans, Bing Xue, Mengjie Zhang:
Improving generalisation of AutoML systems with dynamic fitness evaluations. GECCO 2020: 324-332 - [c485]Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
Relatedness measures to aid the transfer of building blocks among multiple tasks. GECCO 2020: 377-385 - [c484]Damien O'Neill, Bing Xue, Mengjie Zhang:
Neural architecture search for sparse DenseNets with dynamic compression. GECCO 2020: 386-394 - [c483]Hang Xu, Bing Xue, Mengjie Zhang:
Segmented initialization and offspring modification in evolutionary algorithms for bi-objective feature selection. GECCO 2020: 444-452 - [c482]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 - [c481]Qi Chen, Bing Xue, Mengjie Zhang:
Improving symbolic regression based on correlation between residuals and variables. GECCO 2020: 922-930 - [c480]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Adaptive weighted splines: a new representation to genetic programming for symbolic regression. GECCO 2020: 1003-1011 - [c479]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
A memetic level-based learning swarm optimizer for large-scale water distribution network optimization. GECCO 2020: 1107-1115 - [c478]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 - [c477]Bing Xue, Mengjie Zhang:
Evolutionary computation for feature selection and feature construction. GECCO Companion 2020: 1283-1312 - [c476]Mengjie Zhang, Stefano Cagnoni:
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. GECCO Companion 2020: 1343-1372 - [c475]Mengjie Zhang, Xingsheng Zhang, Zhijun Chen, Dunhui Yu:
A Privacy-Preserving Approach for Continuous Data Publication. ICA3PP (3) 2020: 441-458 - [c474]Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising. IJCNN 2020: 1-8 - [c473]Yiming Peng, Gang Chen, Mengjie Zhang:
Effective Linear Policy Gradient Search through Primal-Dual Approximation. IJCNN 2020: 1-8 - [c472]Gonglin Yuan, Bing Xue, Mengjie Zhang:
A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification. IVCNZ 2020: 1-6 - [c471]Ying Bi, Bing Xue, Mengjie Zhang:
Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming. PPSN (1) 2020: 3-18 - [c470]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 - [c469]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 - [c468]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Data Imputation for Symbolic Regression with Missing Values: A Comparative Study. SSCI 2020: 2093-2100 - [c467]Shaolin Wang, Yi Mei, Mengjie Zhang:
Towards Interpretable Routing Policy: A Two Stage Multi-Objective Genetic Programming Approach with Feature Selection for Uncertain Capacitated Arc Routing Problem. SSCI 2020: 2399-2406 - [c466]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Diversity-driven Knowledge Transfer for GPHH to Solve Uncertain Capacitated Arc Routing Problem. SSCI 2020: 2407-2414 - [c465]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Adaptive Search Space through Evolutionary Hyper-Heuristics for the Large-Scale Vehicle Routing Problem. SSCI 2020: 2415-2422 - [c464]Abigail McGhie, Bing Xue, Mengjie Zhang:
GPCNN: Evolving Convolutional Neural Networks using Genetic Programming. SSCI 2020: 2684-2691 - [c463]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
A GPHH with Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc Routing Problem. SSCI 2020: 2786-2793 - [i33]Andrew Lensen, Mengjie Zhang, Bing Xue:
Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality. CoRR abs/2001.01331 (2020) - [i32]Benjamin Patrick Evans, Bing Xue, Mengjie Zhang:
Improving generalisation of AutoML systems with dynamic fitness evaluations. CoRR abs/2001.08842 (2020) - [i31]Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation. CoRR abs/2001.09578 (2020) - [i30]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) - [i29]Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions. CoRR abs/2004.10978 (2020) - [i28]Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
Relatedness Measures to Aid the Transfer of Building Blocks among Multiple Tasks. CoRR abs/2005.03947 (2020) - [i27]Isidro M. Alvarez, Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems. CoRR abs/2006.01415 (2020) - [i26]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) - [i25]Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising. CoRR abs/2008.06634 (2020) - [i24]Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
A Survey on Evolutionary Neural Architecture Search. CoRR abs/2008.10937 (2020) - [i23]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
- [j120]Wenxuan Shan, Qianqian Yan, Chao Chen, Mengjie Zhang, Baozhen Yao, Xuemei Fu:
Optimization of competitive facility location for chain stores. Ann. Oper. Res. 273(1-2): 187-205 (2019) - [j119]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) - [j118]Saeed Mirghasemi, Peter Andreae, Mengjie Zhang:
Domain-independent severely noisy image segmentation via adaptive wavelet shrinkage using particle swarm optimization and fuzzy C-means. Expert Syst. Appl. 133: 126-150 (2019) - [j117]Roberto Santana, Luis Martí, Mengjie Zhang:
GP-based methods for domain adaptation: using brain decoding across subjects as a test-case. Genet. Program. Evolvable Mach. 20(3): 385-411 (2019) - [j116]Yuyu Liang, Mengjie Zhang, Will N. Browne:
Figure-ground image segmentation using feature-based multi-objective genetic programming techniques. Neural Comput. Appl. 31(7): 3075-3094 (2019) - [j115]Binh Tran, Bing Xue, Mengjie Zhang:
Genetic programming for multiple-feature construction on high-dimensional classification. Pattern Recognit. 93: 404-417 (2019) - [j114]Huaizhu Wang, Mengjie Zhang, Chao Chen, Baozhen Yao:
Air parcel network design considering pure freighters. Simul. 95(9) (2019) - [j113]Wenlong Fu, Mengjie Zhang, Mark Johnston:
Bayesian genetic programming for edge detection. Soft Comput. 23(12): 4097-4112 (2019) - [j112]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) - [j111]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) - [j110]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) - [j109]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) - [j108]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) - [j107]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) - [j106]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) - [c462]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 - [c461]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 - [c460]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 - [c459]Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling. Australasian Conference on Artificial Intelligence 2019: 536-548 - [c458]Fangfang Zhang, Yi Mei, Mengjie Zhang:
Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyper-heuristics Help in Dynamic Flexible Job Shop Scheduling? CEC 2019: 41-48 - [c457]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem. CEC 2019: 49-56 - [c456]Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming. CEC 2019: 434-441 - [c455]William Irwin-Harris, Yanan Sun, Bing Xue, Mengjie Zhang:
A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design. CEC 2019: 546-553 - [c454]Thomas Watts, Bing Xue, Mengjie Zhang:
Blocky Net: A New NeuroEvolution Method. CEC 2019: 586-593 - [c453]Shaolong Shi, Yifan Chen, Xin Yao, Mengjie Zhang:
Lightweight Evolution Strategies for Nanoswimmers-oriented In Vivo Computation. CEC 2019: 866-872 - [c452]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 - [c451]Fangfang Zhang, Yi Mei, Mengjie Zhang:
Evolving Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics. CEC 2019: 1366-1373 - [c450]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 - [c449]Will Pearson, Cao Truong Tran, Mengjie Zhang, Bing Xue:
Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data. CEC 2019: 2544-2551 - [c448]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming with Rademacher Complexity for Symbolic Regression. CEC 2019: 2657-2664 - [c447]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 - [c446]Qi Chen, Bing Xue, Mengjie Zhang:
Instance based Transfer Learning for Genetic Programming for Symbolic Regression. CEC 2019: 3006-3013 - [c445]Ying Bi, Bing Xue, Mengjie Zhang:
An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification. CEC 2019: 3197-3204 - [c444]Samaneh Azari, Mengjie Zhang, Bing Xue, Lifeng Peng:
Learning to Rank Peptide-Spectrum Matches Using Genetic Programming. CEC 2019: 3244-3251 - [c443]Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
Online Feature-Generation of Code Fragments for XCS to Guide Feature Construction. CEC 2019: 3308-3315 - [c442]Mengjie Zhang, Wenhua Duan, Yunqing Lin:
A Degree-Based Analysis of 'V+A+le2' Construction. CLSW 2019: 180-188 - [c441]Andrew Lensen, Bing Xue, Mengjie Zhang:
Can Genetic Programming Do Manifold Learning Too? EuroGP 2019: 114-130 - [c440]Fangfang Zhang, Yi Mei, Mengjie Zhang:
A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling. EvoCOP 2019: 33-49 - [c439]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 - [c438]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 - [c437]