School of Engineering and Computer Science Te Kura Mātai Pūkaha, Pūrorohiko

  • Moghaddam, S. A. V., Al-Sahaf, H., Xue, B., Hollitt, C., & Zhang, M. (2021) "An automatic feature construction method for salient object detection: A genetic programming approach[Formula presented]". Expert Systems with Applications, 186. doi:10.1016/j.eswa.2021.115726
  • Cassales, G., Gomes, H., Bifet, A., Pfahringer, B., & Senger, H. (2021) "Improving the performance of bagging ensembles for data streams through mini-batching". __. doi:10.48550/arxiv.2112.09834
  • Ha, T., & Gao, X. (2021) "Evolving Multi-view Autoencoders for Text Classification". In ACM International Conference Proceeding Series (pp. 270-276). doi:10.1145/3486622.3493969
  • O'Neill, D., Xue, B., & Zhang, M. (2021) "Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks". IEEE Transactions on Evolutionary Computation, 25(6), 1118-1132. doi:10.1109/TEVC.2021.3083315
  • Nguyen, B. H., Xue, B., Andreae, P., & Zhang, M. (2021) "A Hybrid Evolutionary Computation Approach to Inducing Transfer Classifiers for Domain Adaptation". IEEE Transactions on Cybernetics, 51(12), 6319-6332. doi:10.1109/TCYB.2020.2980815
  • Bi, Y., Xue, B., & Zhang, M. (2021) "A Divide-And-Conquer Genetic Programming Algorithm with Ensembles for Image Classification". IEEE Transactions on Evolutionary Computation, 25(6), 1148-1162. doi:10.1109/TEVC.2021.3082112
  • Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2021) "Multitree Genetic Programming with New Operators for Transfer Learning in Symbolic Regression with Incomplete Data". IEEE Transactions on Evolutionary Computation, 25(6), 1049-1063. doi:10.1109/TEVC.2021.3079843
  • Lensen, A. (2021) "Genetic Programming, Explainability, and Interdisciplinary AI". University of Canterbury.
  • Lensen, A., Xue, B., & Zhang, M. (2021) "Genetic programming for evolving a front of interpretable models for data visualization". IEEE Transactions on Cybernetics, 51(11), 5468-5482. doi:10.1109/TCYB.2020.2970198
  • Jiao, R., Zeng, S., Li, C., & Ong, Y. -S. (2021) "Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization". Information Sciences, 578, 592-614. doi:10.1016/j.ins.2021.07.048
  • Cassales, G., Gomes, H., Bifet, A., Pfahringer, B., & Senger, H. (2021) "Improving the performance of bagging ensembles for data streams through mini-batching". Information Sciences, 580, 260-282. doi:10.1016/j.ins.2021.08.085
  • Alavizadeh, H., Jang-Jaccard, J., Enoch, S. Y., Al-Sahaf, H., Welch, I., Camtepe, S. A., & Kim, D. S. (2021) "A Survey on Threat Situation Awareness Systems: Framework, Techniques, and Insights". __. doi:10.48550/arxiv.2110.15747
  • Peng, B., Wan, S., Bi, Y., Xue, B., & Zhang, M. (2021) "Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis". IEEE Transactions on Cybernetics, 51(10), 4909-4923. doi:10.1109/TCYB.2020.3032945
  • Jiao, R., Zeng, S., Li, C., Yang, S., & Ong, Y. S. (2021) "Handling Constrained Many-Objective Optimization Problems via Problem Transformation". IEEE Transactions on Cybernetics, 51(10), 4834-4847. doi:10.1109/TCYB.2020.3031642
  • He, Y., Liu, X. H., Zhang, H. L., Zheng, W., Zhao, F. Y., Aurel Schnabel, M., & Mei, Y. (2021) "Hybrid framework for rapid evaluation of wind environment around buildings through parametric design, CFD simulation, image processing and machine learning". Sustainable Cities and Society, 73. doi:10.1016/j.scs.2021.103092
  • Ding, W., Pedrycz, W., Yen, G. G., & Xue, B. (2021) "Guest Editorial Evolutionary Computation Meets Deep Learning". IEEE Transactions on Evolutionary Computation, 25(5), 810-814. doi:10.1109/TEVC.2021.3096336
  • Chen, X., Sun, Y., Zhang, M., & Peng, D. (2021) "Evolving Deep Convolutional Variational Autoencoders for Image Classification". IEEE Transactions on Evolutionary Computation, 25(5), 815-829. doi:10.1109/TEVC.2020.3047220
  • Abdollahi, M., Gao, X., Mei, Y., Ghosh, S., Li, J., & Narag, M. (2021) "Substituting clinical features using synthetic medical phrases: Medical text data augmentation techniques". Artificial Intelligence in Medicine, 120. doi:10.1016/j.artmed.2021.102167
  • Lensen, A., Xue, B., & Zhang, M. (2021) "Genetic Programming for Manifold Learning: Preserving Local Topology". __. doi:10.48550/arxiv.2108.09914
  • Liu, Y., Browne, W. N., & Xue, B. (2021) "A Comparison of Learning Classifier Systems' Rule Compaction Algorithms for Knowledge Visualization". ACM Transactions on Evolutionary Learning and Optimization, 1(3). doi:10.1145/3468166
  • Xie, X., Liu, Y., Sun, Y., Yen, G. G., Xue, B., & Zhang, M. (2021) "BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search". __. doi:10.48550/arxiv.2108.03856
  • Zhang, F., Mei, Y., Nguyen, S., Zhang, M., & Tan, K. C. (2021) "Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling". IEEE Transactions on Evolutionary Computation, 25(4), 651-665. doi:10.1109/TEVC.2021.3065707
  • Sun, Y., Zhang, M., & Yen, G. G. (2021) "Evolutionary Neural Architecture Search and Applications [Guest Editorial]". IEEE Computational Intelligence Magazine, 16(3), 8-9. doi:10.1109/MCI.2021.3084391
  • Peng, B., Bi, Y., Xue, B., Zhang, M., & Wan, S. (2021) "Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes]". IEEE Computational Intelligence Magazine, 16(3), 79-94. doi:10.1109/MCI.2021.3084495
  • Ai, Q., Zuo, X., Chen, G., & Wu, B. (2021) "Deep Reinforcement Learning based Dynamic Optimization of Bus Timetable". Applied Soft Computing, Elsevier.
  • Ai, G., Zuo, X., chen, G., & Wu, B. (2021) "Deep Reinforcement Learning based Dynamic Optimization of Bus Timetable". __. doi:10.48550/arxiv.2107.07066
  • Zhang, M., & Cagnoni, S. (2021) "Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition". In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (pp. 1169-1198). doi:10.1145/3449726.3461412
  • Xue, B., & Zhang, M. (2021) "Evolutionary computation for feature selection and feature construction". In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (pp. 1141-1168). doi:10.1145/3449726.3461415
  • Wang, B., Xue, B., & Zhang, M. (2021) "A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks". In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (pp. 287-288). doi:10.1145/3449726.3459455
  • Wang, B., Pei, W., Xue, B., & Zhang, M. (2021) "Evolving local interpretable model-agnostic explanations for deep neural networks in image classification". In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (pp. 173-174). doi:10.1145/3449726.3459452
  • Raymond, C., Chen, Q., Xue, B., & Zhang, M. (2021) "Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation". In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (pp. 165-166). doi:10.1145/3449726.3459461
  • Fan, Q., Bi, Y., Xue, B., & Zhang, M. (2021) "Genetic programming with a new representation and a new mutation operator for image classification". In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (pp. 249-250). doi:10.1145/3449726.3459468
  • Demir, K., Nguyen, B. H., Xue, B., & Zhang, M. (2021) "Sparsity-based evolutionary multi-objective feature selection for multi-label classification". In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (pp. 147-148). doi:10.1145/3449726.3459467
  • Li, A. D., Xue, B., & Zhang, M. (2021) "Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies". Applied Soft Computing, 106. doi:10.1016/j.asoc.2021.107302
  • Gomes, H. M., Read, J., Bifet, A., & Durrant, R. J. (2021) "Learning from evolving data streams through ensembles of random patches". Knowledge and Information Systems, 63(7), 1597-1625. doi:10.1007/s10115-021-01579-z
  • Wang, S., Mei, Y., & Zhang, M. (2021) "Two-stage multi-objective genetic programming with archive for uncertain capacitated arc routing problem". In GECCO 2021 - Proceedings of the 2021 Genetic and Evolutionary Computation Conference (pp. 287-295). doi:10.1145/3449639.3459298
  • Pei, W., Xue, B., Shang, L., & Zhang, M. (2021) "Genetic programming for borderline instance detection in high-dimensional unbalanced classification". In GECCO 2021 - Proceedings of the 2021 Genetic and Evolutionary Computation Conference (pp. 349-357). doi:10.1145/3449639.3459284
  • Ardeh, M. A., Mei, Y., & Zhang, M. (2021) "A novel multi-task genetic programming approach to uncertain capacitated Arc routing problem". In GECCO 2021 - Proceedings of the 2021 Genetic and Evolutionary Computation Conference (pp. 759-767). doi:10.1145/3449639.3459322
  • Gomes, H. M., Grzenda, M., Mello, R., Read, J., Nguyen, M. H. L., & Bifet, A. (2021) "A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams". __. doi:10.48550/arxiv.2106.09170
  • Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2021) "Correlation Coefficient-Based Recombinative Guidance for Genetic Programming Hyperheuristics in Dynamic Flexible Job Shop Scheduling". IEEE Transactions on Evolutionary Computation, 25(3), 552-566. doi:10.1109/TEVC.2021.3056143
  • Nguyen, S., Thiruvady, D., Zhang, M., & Tan, K. C. (2021) "A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming". IEEE Transactions on Evolutionary Computation, 25(3), 492-507. doi:10.1109/TEVC.2021.3050465
  • Chen, Q., Xue, B., & Zhang, M. (2021) "Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression". IEEE Transactions on Evolutionary Computation, 25(3), 433-447. doi:10.1109/TEVC.2020.3046569
  • Abdollahi, M., Gao, X., Mei, Y., Ghosh, S., & Li, J. (2021) "Stratifying Risk of Coronary Artery Disease Using Discriminative Knowledge-Guided Medical Concept Pairings from Clinical Notes". __. doi:10.26686/wgtn.14676090
  • Abdollahi, M., Gao, X., Mei, Y., Ghosh, S., & Li, J. (2021) "An Ontology-based Two-Stage Approach to Medical Text Classification with Feature Selection by Particle Swarm Optimisation". In Victoria University of Wellington Library. doi:10.26686/wgtn.14676087
  • Chen, G. (2021) "Learning Symbolic Expressions via Gumbel-Max Equation Learner Networks". arXiv.
  • Lensen, A. (2021) "Unsupervised Learning and Explainable AI (Joint VUW-MetService Seminar)". __.
  • Lensen, A. (2021) "AI in Facility Management". In BILD463: Built Facility Management.
  • Fu, W., Xue, B., Gao, X., & Zhang, M. (2021) "Transductive transfer learning based Genetic Programming for balanced and unbalanced document classification using different types of features". Applied Soft Computing, 103. doi:10.1016/j.asoc.2021.107172
  • Bi, Y., Xue, B., & Zhang, M. (2021) "Multi-objective genetic programming for feature learning in face recognition". Applied Soft Computing, 103. doi:10.1016/j.asoc.2021.107152
  • Bahri, M., Bifet, A., Gama, J., Gomes, H. M., & Maniu, S. (2021) "Data stream analysis: Foundations, major tasks and tools". Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 11(3). doi:10.1002/widm.1405
  • Zhang, Y., Mei, Y., Zhang, B., & Jiang, K. (2021) "Divide-and-conquer large scale capacitated arc routing problems with route cutting off decomposition". Information Sciences, 553, 208-224. doi:10.1016/j.ins.2020.11.011
  • Xu, H., Xue, B., & Zhang, M. (2021) "A Duplication Analysis-Based Evolutionary Algorithm for Biobjective Feature Selection". IEEE Transactions on Evolutionary Computation, 25(2), 205-218. doi:10.1109/TEVC.2020.3016049
  • Bi, Y., Xue, B., & Zhang, M. (2021) "Genetic Programming with a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification". IEEE Transactions on Cybernetics, 51(4), 1769-1783. doi:10.1109/TCYB.2020.2964566
  • Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2021) "A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data". Soft Computing, 25(8), 5993-6012. doi:10.1007/s00500-021-05590-y
  • Zhang, Y., Mei, Y., Tang, K., & Jiang, K. (2021) "Memetic algorithm with route decomposing for periodic capacitated arc routing problem". In Victoria University of Wellington Library. doi:10.26686/wgtn.14344067
  • Rahaman, M. S., Mei, Y., Hamilton, M., & Salim, F. D. (2021) "CAPRA: A contour-based accessible path routing algorithm". In Victoria University of Wellington Library. doi:10.26686/wgtn.14343926
  • Mei, Y., Zhang, M., & Nyugen, S. (2021) "Feature selection in evolving job shop dispatching rules with genetic programming". In Victoria University of Wellington Library. doi:10.26686/wgtn.14344040
  • Mei, Y., Salim, F. D., & Li, X. (2021) "Efficient meta-heuristics for the multi-objective time-dependent orienteering problem". In Victoria University of Wellington Library. doi:10.26686/wgtn.14343968
  • Masood, A., Mei, Y., Chen, G., & Zhang, M. (2021) "Many-objective genetic programming for job-shop scheduling". In Victoria University of Wellington Library. doi:10.26686/wgtn.14344058
  • Liu, Y., Mei, Y., Zhang, M., & Zhang, Z. (2021) "Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem". In Victoria University of Wellington Library. doi:10.26686/wgtn.14343905
  • Jacobsen-Grocott, J., Mei, Y., Chen, G., & Zhang, M. (2021) "Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming". In Victoria University of Wellington Library. doi:10.26686/wgtn.14343977
  • Xie, J., Mei, Y., Ernst, A. T., Li, X., & Song, A. (2021) "A bi-level optimization model for grouping constrained storage location assignment problems". In Victoria University of Wellington Library. doi:10.26686/wgtn.14337005
  • Park, J., Mei, Y., Nguyen, S., Chen, G., & Zhang, M. (2021) "An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling". In Victoria University of Wellington Library. doi:10.26686/wgtn.14337389
  • Liu, J., Mei, Y., & Li, X. (2021) "An Analysis of the Inertia Weight Parameter for Binary Particle Swarm Optimization". In Victoria University of Wellington Library. doi:10.26686/wgtn.14337128
  • Bifet, A., Ferreira, C., Gama, J., & Gomes, H. M. (2021) "Session details: Theme: Information systems: DS - Data streams track". In Proceedings of the 36th Annual ACM Symposium on Applied Computing. ACM. doi:10.1145/3462411
  • Bifet, A., Ferreira, C., Gama, J., & Gomes, H. M. (2021) "EDITORIAL MESSAGE". In Proceedings of the ACM Symposium on Applied Computing (pp. 417).
  • Mei, Y., Nguyen, S., Xue, B., & Zhang, M. (2021) "An efficient feature selection algorithm for evolving job shop scheduling rules with genetic programming". In Victoria University of Wellington Library. doi:10.26686/wgtn.14245721
  • Pei, W., Xue, B., Shang, L., & Zhang, M. (2021) "Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification". Applied Soft Computing, 101. doi:10.1016/j.asoc.2020.106989
  • Nguyen, S., Zhang, M., Alahakoon, D., & Tan, K. C. (2021) "People-Centric Evolutionary System for Dynamic Production Scheduling". IEEE Transactions on Cybernetics, 51(3), 1403-1416. doi:10.1109/TCYB.2019.2936001
  • Li, L., Fang, W., Mei, Y., & Wang, Q. (2021) "Cooperative coevolution for large-scale global optimization based on fuzzy decomposition". Soft Computing, 25(5), 3593-3608. doi:10.1007/s00500-020-05389-3
  • Cerqueira, V., Gomes, H. M., Bifet, A., & Torgo, L. (2021) "STUDD: A Student-Teacher Method for Unsupervised Concept Drift Detection". __. doi:10.48550/arxiv.2103.00903
  • Huang, G., Chen, G., & Fu, Q. (2021) "Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking". arXiv.
  • Xu, Q., Zeng, S., Zhao, F., Jiao, R., & Li, C. (2021) "On Formulating and Designing Antenna Arrays by Evolutionary Algorithms". IEEE Transactions on Antennas and Propagation, 69(2), 1118-1129. doi:10.1109/TAP.2020.3016181
  • Pei, W., Xue, B., Shang, L., & Zhang, M. (2021) "Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier]". IEEE Computational Intelligence Magazine, 16(1), 84-98. doi:10.1109/MCI.2020.3039070
  • Nguyen, B. H., Xue, B., Andreae, P., & Zhang, M. (2021) "A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance between Exploration and Exploitation". IEEE Transactions on Cybernetics, 51(2), 589-603. doi:10.1109/TCYB.2019.2944141
  • Bi, Y., Xue, B., & Zhang, M. (2021) "Genetic Programming with Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification". IEEE Transactions on Evolutionary Computation, 25(1), 87-101. doi:10.1109/TEVC.2020.3002229
  • Fu, W., Xue, B., Gao, X., & Zhang, M. (2021) "Output-based transfer learning in genetic programming for document classification". Knowledge-Based Systems, 212. doi:10.1016/j.knosys.2020.106597
  • Zhang, F., Nguyen, S., Mei, Y., & Zhang, M. (2021) "Genetic Programming for Production Scheduling". Springer Singapore. doi:10.1007/978-981-16-4859-5
  • Yuan, G., Xue, B., & Zhang, M. (2021) "A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13031 LNAI (pp. 469-484). doi:10.1007/978-3-030-89188-6_35
  • Yu, Y., Ma, H., & Chen, G. (2021) "Achieving Multi-Objective Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 1880-1887). doi:10.1109/CEC45853.2021.9504695
  • Yang, Y., Xue, B., Jesson, L., & Zhang, M. (2021) "Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 588-595). doi:10.1109/CEC45853.2021.9504963
  • Yang, Y., Xue, B., Jesson, L., Wylie, M., Zhang, M., & Wellenreuther, M. (2021) "Deep Convolutional Neural Networks for Fish Weight Prediction from Images". In International Conference Image and Vision Computing New Zealand Vol. 2021-December. doi:10.1109/IVCNZ54163.2021.9653412
  • Yang, Y., Chen, G., Ma, H., Zhang, M., & Huang, V. (2021) "Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 2141-2148). doi:10.1109/CEC45853.2021.9504709
  • Yan, Z., Bi, Y., Xue, B., & Zhang, M. (2021) "Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 2015-2022). doi:10.1109/CEC45853.2021.9504737
  • Xue, Y., Shi, X., Zhou, H., Yang, Z., Zhang, J., Wu, C., & Xue, B. (2021) "Effects of Textured Surface Combined with Sn-Ag-Cu Coating on Tribological Properties and Friction-Induced Noise of Ti-6Al-4V Alloy". Tribology Transactions, 64(3), 562-577. doi:10.1080/10402004.2021.1881196
  • Xu, M., Zhang, F., Mei, Y., & Zhang, M. (2021) "Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 2117-2124). doi:10.1109/CEC45853.2021.9504752
  • Wu, J., Shang, L., & Gao, X. (2021) "Sentiment Time Series Calibration for Event Detection". IEEE/ACM Transactions on Audio Speech and Language Processing, 29, 2407-2420. doi:10.1109/TASLP.2021.3096653
  • Wang, Z., Zhou, Y., Li, C., Shang, L., & Xue, B. (2021) "MGEoT: A Multi-grained Ensemble Method for Time Series Classification". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13031 LNAI (pp. 397-410). doi:10.1007/978-3-030-89188-6_30
  • Wang, S., Mei, Y., & Zhang, M. (2021) "An Improved Multi-Objective Genetic Programming Hyper-Heuristic with Archive for Uncertain Capacitated Arc Routing Problem". In 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings. doi:10.1109/SSCI50451.2021.9660154
  • Wang, S., Mei, Y., & Zhang, M. (2021) "A Multi-Objective Genetic Programming Approach with Self-Adaptive α Dominance to Uncertain Capacitated Arc Routing Problem". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 636-643). doi:10.1109/CEC45853.2021.9504956
  • Wang, P., Xue, B., Zhang, M., & Liang, J. (2021) "A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 2053-2060). doi:10.1109/CEC45853.2021.9504832
  • Wang, P., Xue, B., Liang, J., & Zhang, M. (2021) "Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification". In Unknown Book (Vol. 12694 LNCS, pp. 489-505). doi:10.1007/978-3-030-72699-7_31
  • Viswambaran, R. A., Chen, G., Xue, B., & Nekooei, M. (2021) "Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) Ensembles". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 942-949). doi:10.1109/CEC45853.2021.9504788
  • Teixeira, M., Casanova, D., Ribeiro, R., Gomes, H. M., & Schmidt, L. (2021) "A combined solution for flexible control of poultry houses". International Journal of Computer Applications in Technology, 67(2/3), 232. doi:10.1504/ijcat.2021.10045769
  • Steinmetz, D., Hartmann, S., & Ma, H. (2021) "A Conceptual Modelling Approach for the Discovery and Management of Platoon Routes". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13011 LNCS (pp. 282-296). doi:10.1007/978-3-030-89022-3_23
  • Shi, T., Ma, H., Chen, G., & Hartmann, S. (2021) "Location-Aware and Budget-Constrained Service Brokering in Multi-Cloud via Deep Reinforcement Learning". In Unknown Book (Vol. 13121 LNCS, pp. 756-764). doi:10.1007/978-3-030-91431-8_52
  • Schofield, F., & Lensen, A. (2021) "Using Genetic Programming to Find Functional Mappings for UMAP Embeddings". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 704-711). doi:10.1109/CEC45853.2021.9504848
  • Schmidt, L., Casanova, D., Ribeiro, R., Teixeira, M., & Gomes, H. M. (2021) "A combined solution for flexible control of poultry houses". International Journal of Computer Applications in Technology, 67(2-3), 232-243. doi:10.1504/IJCAT.2021.121539
  • Sadeghiram, S., Ma, H., & Chen, G. (2021) "Priority-based Selection of Individuals in Memetic Algorithms for Distributed Data-intensive Web Service compositions". IEEE Transactions on Services Computing. doi:10.1109/TSC.2021.3066322
  • Robinson, D., Chen, Q., Xue, B., Wagner, I., Price, M., Hume, P., . . . Zhang, M. (2021) "Particle Swarm Optimisation for Analysing Time-Dependent Photoluminescence Data". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 1735-1742). doi:10.1109/CEC45853.2021.9504908
  • Robinson, D., Chen, Q., Xue, B., Killeen, D., Fraser-Miller, S., Gordon, K. C., . . . Zhang, M. (2021) "Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 272-279). doi:10.1109/CEC45853.2021.9504794
  • Pei, J., Hu, C., Liu, J., Mei, Y., & Yao, X. (2021) "Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access". In 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings. doi:10.1109/SSCI50451.2021.9659967
  • Panda, S., & Mei, Y. (2021) "Genetic Programming with Algebraic Simplification for Dynamic Job Shop Scheduling". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 1848-1855). doi:10.1109/CEC45853.2021.9505010
  • Nguyen, T. B., Browne, W. N., & Zhang, M. (2021) "Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 296-303). doi:10.1109/CEC45853.2021.9504784
  • Nguyen, H. B., Xue, B., & Zhang, M. (2021) "Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector". In IEEE International Conference on Data Mining Workshops, ICDMW Vol. 2021-December (pp. 833-842). doi:10.1109/ICDMW53433.2021.00107
  • Montiel, J., Halford, M., Mastelini, S. M., Bolmier, G., Sourty, R., Vaysse, R., . . . Bifet, A. (2021) "River: Machine learning for streaming data in python". Journal of Machine Learning Research, 22.
  • Mei, Y., Ardeh, M. A., & Zhang, M. (2021) "Knowledge Transfer in Genetic Programming Hyper-heuristics". In Natural Computing Series (pp. 149-169). doi:10.1007/978-3-030-72069-8_9
  • McLeay, A. J., McGhie, A., Briscoe, D., Bi, Y., Xue, B., Vennell, R., & Zhang, M. (2021) "Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms". In 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings. doi:10.1109/SSCI50451.2021.9659987
  • Mastelini, S. M., Montiel, J., Gomes, H. M., Bifet, A., Pfahringer, B., & De Carvalho, A. C. P. L. F. (2021) "Fast and lightweight binary and multi-branch Hoeffding Tree Regressors". In IEEE International Conference on Data Mining Workshops, ICDMW Vol. 2021-December (pp. 380-388). doi:10.1109/ICDMW53433.2021.00053
  • Masood, A., Chen, G., & Zhang, M. (2021) "Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 644-651). doi:10.1109/CEC45853.2021.9504895
  • Mandal, R., Azam, B., Verma, B., & Zhang, M. (2021) "Deep Learning Model with GA-based Visual Feature Selection and Context Integration". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 288-295). doi:10.1109/CEC45853.2021.9504753
  • Madukwe, K. J., Gao, X., & Xue, B. (2021) "What Emotion Is Hate? Incorporating Emotion Information into the Hate Speech Detection Task". In Unknown Book (Vol. 13032 LNAI, pp. 273-286). doi:10.1007/978-3-030-89363-7_21
  • MacLachlan, J., & Mei, Y. (2021) "Look-Ahead Genetic Programming for Uncertain Capacitated Arc Routing Problem". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 1872-1879). doi:10.1109/CEC45853.2021.9504785
  • Londt, T., Gao, X., & Andreae, P. (2021) "Evolving Character-Level DenseNet Architectures Using Genetic Programming". In Unknown Book (Vol. 12694 LNCS, pp. 665-680). doi:10.1007/978-3-030-72699-7_42
  • Li, A. D., Xue, B., & Zhang, M. (2021) "A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 786-793). doi:10.1109/CEC45853.2021.9504949
  • Lensen, A. (2021) "Mining Feature Relationships in Data". In Unknown Book (Vol. 12691 LNCS, pp. 247-262). doi:10.1007/978-3-030-72812-0_16
  • Huang, Z., Mei, Y., & Zhang, M. (2021) "Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling". In 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings. doi:10.1109/SSCI50451.2021.9660091
  • Huang, J., Xue, B., Sun, Y., & Zhang, M. (2021) "A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 934-941). doi:10.1109/CEC45853.2021.9504716
  • Hong, W. C., Niu, D., Xu, Y., Zhang, M., & Singh, P. K. (2021) "Advanced Intelligent Technologies in Energy Forecasting and Economical Applications". Mathematical Problems in Engineering, 2021. doi:10.1155/2021/9865857
  • Ha, T., & Gao, X. (2021) "Fake News Detection Using Multiple-View Text Representation". In Unknown Book (Vol. 13032 LNAI, pp. 100-112). doi:10.1007/978-3-030-89363-7_8
  • Ghosh, A., Xue, B., & Zhang, M. (2021) "Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification Problems". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 794-801). doi:10.1109/CEC45853.2021.9504882
  • Demir, K., Nguyen, B. H., Xue, B., & Zhang, M. (2021) "Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 760-767). doi:10.1109/CEC45853.2021.9504960
  • Demir, K., Nguyen, B. H., Xue, B., & Zhang, M. (2021) "Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification". In IEEE International Conference on Data Mining Workshops, ICDMW Vol. 2021-December (pp. 823-832). doi:10.1109/ICDMW53433.2021.00106
  • Currie, F., Mei, Y., Zhang, M., Wellenreuther, M., & Jesson, L. (2021) "An Investigation on Multi-Objective Fish Breeding Program Design". In 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings. doi:10.1109/SSCI50451.2021.9659936
  • Costa, J. G. C., Mei, Y., & Zhang, M. (2021) "Learning Penalisation Criterion of Guided Local Search for Large Scale Vehicle Routing Problem". In 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings. doi:10.1109/SSCI50451.2021.9659939
  • Costa, J. G. C., Mei, Y., & Zhang, M. (2021) "Learning Initialisation Heuristic for Large Scale Vehicle Routing Problem with Genetic Programming". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 1864-1871). doi:10.1109/CEC45853.2021.9504938
  • Costa, J. G. C., Mei, Y., & Zhang, M. (2021) "An Evolutionary Hyper-Heuristic Approach to the Large Scale Vehicle Routing Problem". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 2109-2116). doi:10.1109/CEC45853.2021.9504818
  • Chanajitt, R., Pfahringer, B., & Gomes, H. M. (2021) "Combining Static and Dynamic Analysis to Improve Machine Learning-based Malware Classification". In 2021 IEEE 8th International Conference on Data Science and Advanced Analytics, DSAA 2021. doi:10.1109/DSAA53316.2021.9564144
  • Castillo, P. A., Laredo, J. L. J., Iacca, G., Bucur, D., Cotta, C., Fernández, P., . . . Merelo Guervós, J. J. (2021) "Preface (Vol". 12694 LNCS).
  • Buchanan, C., Bi, Y., Xue, B., Vennell, R., Childerhouse, S., Pine, M. K., . . . Zhang, M. (2021) "Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks". In International Conference Image and Vision Computing New Zealand Vol. 2021-December. doi:10.1109/IVCNZ54163.2021.9653250
  • Bi, Y., Xue, B., & Zhang, M. (2021) "Random Forest-Assisted GP for Feature Learning". In Adaptation, Learning, and Optimization (Vol. 24, pp. 207-226). doi:10.1007/978-3-030-65927-1_9
  • Bi, Y., Xue, B., & Zhang, M. (2021) "Preface". In Unknown Book (Vol. 24, pp. ix-x). doi:10.1016/B978-0-12-809952-0.05001-9
  • Bi, Y., Xue, B., & Zhang, M. (2021) "Multi-layer Representation for Binary Image Classification". In Adaptation, Learning, and Optimization (Vol. 24, pp. 75-95). doi:10.1007/978-3-030-65927-1_4
  • Bi, Y., Xue, B., & Zhang, M. (2021) "Introduction". In Adaptation, Learning, and Optimization (Vol. 24, pp. 1-10). doi:10.1007/978-3-030-65927-1_1
  • Bi, Y., Xue, B., & Zhang, M. (2021) "GP with Image-Related Operators for Feature Learning". In Adaptation, Learning, and Optimization (Vol. 24, pp. 145-177). doi:10.1007/978-3-030-65927-1_7
  • Bi, Y., Xue, B., & Zhang, M. (2021) "GP with Image Descriptors for Learning Global and Local Features". In Adaptation, Learning, and Optimization (Vol. 24, pp. 117-143). doi:10.1007/978-3-030-65927-1_6
  • Bi, Y., Xue, B., & Zhang, M. (2021) "GP for Simultaneous Feature Learning and Ensemble Learning". In Adaptation, Learning, and Optimization (Vol. 24, pp. 179-205). doi:10.1007/978-3-030-65927-1_8
  • Bi, Y., Xue, B., & Zhang, M. (2021) "Genetic Programming for Image Classification". Springer International Publishing. doi:10.1007/978-3-030-65927-1
  • Bi, Y., Xue, B., & Zhang, M. (2021) "Evolutionary Deep Learning Using GP with Convolution Operators". In Adaptation, Learning, and Optimization (Vol. 24, pp. 97-115). doi:10.1007/978-3-030-65927-1_5
  • Bi, Y., Xue, B., & Zhang, M. (2021) "Evolutionary Computation and Genetic Programming". In Adaptation, Learning, and Optimization (Vol. 24, pp. 49-74). doi:10.1007/978-3-030-65927-1_3
  • Bi, Y., Xue, B., & Zhang, M. (2021) "Conclusions and Future Directions". In Adaptation, Learning, and Optimization (Vol. 24, pp. 227-237). doi:10.1007/978-3-030-65927-1_10
  • Bi, Y., Xue, B., & Zhang, M. (2021) "Computer Vision and Machine Learning". In Adaptation, Learning, and Optimization (Vol. 24, pp. 11-48). doi:10.1007/978-3-030-65927-1_2
  • Ariadi, A., Shi, T., Ma, H., Da Silva, A. S., & Hartmann, S. (2021) "A Graph Database Supported GA-Based Approach to Social Network Analysis". In 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings. doi:10.1109/SSCI50451.2021.9659546
  • Ardeh, M. A., Mei, Y., & Zhang, M. (2021) "Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing Problem". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 628-635). doi:10.1109/CEC45853.2021.9504817
  • Andersen, H., Stevenson, S., Ha, T., Gao, X., & Xue, B. (2021) "Evolving Neural Networks for Text Classification using Genetic Algorithm-based Approaches". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 1241-1248). doi:10.1109/CEC45853.2021.9504920
  • Andersen, H., Lensen, A., & Xue, B. (2021) "Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 688-695). doi:10.1109/CEC45853.2021.9504855
  • Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2021) "GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data". In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings (pp. 604-611). doi:10.1109/CEC45853.2021.9504767
  • Abbasi, M. S., Al-Sahaf, H., & Welch, I. (2021) "Automated Behavior-based Malice Scoring of Ransomware Using Genetic Programming". In 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings. doi:10.1109/SSCI50451.2021.9660009
Print version | Backlinks |