Publications 2018 - Groups/ECRG | Te Kura Mātai Pūkaha, Pūrorohiko / School of Engineering and Computer Science | Te Herenga Waka

Tran, C. T., Zhang, M., Andreae, P., Xue, B., & Bui, L. T. (2018) "Improving performance of classification on incomplete data using feature selection and clustering". Applied Soft Computing Journal, 73, 848-861. doi:10.1016/j.asoc.2018.09.026
Liu, X., Shi, X., Huang, Y., Deng, X., Lu, G., Yan, Z., & Xue, B. (2018) "Tribological behavior and self-healing functionality of M50 material covered with surface micropores filled with Sn-Ag-Cu". Tribology International, 128, 365-375. doi:10.1016/j.triboint.2018.07.050
Nguyen, S., Zhang, M., Alahakoon, D., & Tan, K. C. (2018) "Visualizing the evolution of computer programs for genetic programming [Research Frontier]". IEEE Computational Intelligence Magazine, 13(4), 77-94. doi:10.1109/MCI.2018.2866731
Fu, W., Xu, B., Zhang, M., & Johnston, M. (2018) "Fast unsupervised edge detection using genetic programming [Application notes]". IEEE Computational Intelligence Magazine, 13(4), 46-58. doi:10.1109/MCI.2018.2866729
Sun, Y., Xue, B., Zhang, M., & Yen, G. G. (2018) "Automatically Evolving CNN Architectures Based on Blocks". __. doi:10.48550/arxiv.1810.11875
Liu, X., Shi, X., Huang, Y., Deng, X., Yan, Z., & Xue, B. (2018) "Anti-friction and wear properties of the friction surface of M50-10 wt%(50Sn40Ag10Cu) composite". Journal of Alloys and Compounds, 765, 7-17. doi:10.1016/j.jallcom.2018.06.160
Zheng, Y., Peng, H., Zhang, X., Gao, X., & Li, J. (2018) "Predicting Drug Targets from Heterogeneous Spaces using Anchor Graph Hashing and Ensemble Learning". In Proceedings of the International Joint Conference on Neural Networks Vol. 2018-July. doi:10.1109/IJCNN.2018.8489028
Fletcher, S., Verma, B., Jan, Z. M., & Zhang, M. (2018) "The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm". In Proceedings of the International Joint Conference on Neural Networks Vol. 2018-July. doi:10.1109/IJCNN.2018.8489467
Ferreira, L. E. B., Barddal, J. P., Enembreck, F., & Gomes, H. M. (2018) "An Experimental Perspective on Sampling Methods for Imbalanced Learning from Financial Databases". In Proceedings of the International Joint Conference on Neural Networks Vol. 2018-July. doi:10.1109/IJCNN.2018.8489290
Chen, G., Peng, Y., & Zhang, M. (2018) "Constrained Expectation-Maximization Methods for Effective Reinforcement Learning". In Proceedings of the International Joint Conference on Neural Networks Vol. 2018-July. doi:10.1109/IJCNN.2018.8488990
Jiao, R., Sun, Y., Sun, J., Jiang, Y., & Zeng, S. (2018) "Antenna design using dynamic multi‐objective evolutionary algorithm". IET Microwaves, Antennas & Propagation, 12(13), 2065-2072. doi:10.1049/iet-map.2018.5298
Asafuddoula, M., Verma, B., & Zhang, M. (2018) "A Divide-and-Conquer-Based Ensemble Classifier Learning by Means of Many-Objective Optimization". IEEE Transactions on Evolutionary Computation, 22(5), 762-777. doi:10.1109/TEVC.2017.2782826
Wang, B., Sun, Y., Xue, B., & Zhang, M. (2018) "Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification". In 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. doi:10.1109/CEC.2018.8477735
Sun, Y., Xue, B., Zhang, M., & Yen, G. G. (2018) "An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders". In 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. doi:10.1109/CEC.2018.8477921
Shi, T., Ma, H., & Chen, G. (2018) "Energy-Aware Container Consolidation Based on PSO in Cloud Data Centers". In 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. doi:10.1109/CEC.2018.8477708
Sadeghiram, S., Ma, H., & Chen, G. (2018) "Cluster-Guided Genetic Algorithm for Distributed Data-intensive Web Service Composition". In 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. doi:10.1109/CEC.2018.8477729
O'Neill, D., Lensen, A., Xue, B., & Zhang, M. (2018) "Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering". In 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. doi:10.1109/CEC.2018.8477974
Cheng, X., Browne, W. N., & Zhang, M. (2018) "Decomposition Based Multi-Objective Evolutionary Algorithm in XCS for Multi-Objective Reinforcement Learning". In 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. doi:10.1109/CEC.2018.8477931
Bi, Y., Zhang, M., & Xue, B. (2018) "Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification". In 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. doi:10.1109/CEC.2018.8477911
Bai, X., Gao, X., & Xue, B. (2018) "Particle Swarm Optimization Based Two-Stage Feature Selection in Text Mining". In 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. doi:10.1109/CEC.2018.8477773
Azari, S., Zhang, M., Xue, B., & Peng, L. (2018) "Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification". In 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. doi:10.1109/CEC.2018.8477810
Chen, G., Peng, Y., & Zhang, M. (2018) "Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization". arXiv.
Chen, G., Peng, Y., & Zhang, M. (2018) "Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization". __. doi:10.48550/arxiv.1809.00403
Nguyen, H. B., Xue, B., & Andreae, P. (2018) "PSO with surrogate models for feature selection: static and dynamic clustering-based methods". Memetic Computing, 10(3), 291-300. doi:10.1007/s12293-018-0254-9
Chen, M., Xu, Z., Xue, B., Liu, Y., & Ma, W. (2018) "Friction and wear performance of a NiAl-8 wt% serpentine-2 wt%TiC composite at high temperatures". Materials Research Express, 5(9). doi:10.1088/2053-1591/aad85b
Wang, B., Sun, Y., Xue, B., & Zhang, M. (2018) "A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification". __. doi:10.48550/arxiv.1808.06661
Tran, C. T., Zhang, M., Andreae, P., Xue, B., & Bui, L. T. (2018) "An effective and efficient approach to classification with incomplete data". Knowledge-Based Systems, 154, 1-16. doi:10.1016/j.knosys.2018.05.013
Sun, Y., Xue, B., Zhang, M., & Yen, G. G. (2018) "Automatically designing CNN architectures using genetic algorithm for image classification". __. doi:10.48550/arxiv.1808.03818
Xue, B., Ma, W., & Liu, Y. (2018) "Friction and Wear Behavior of TiAl Matrix Composites Incorporated with Silver and Molybdenum Disulfide". Journal of Materials Engineering and Performance, 27(8), 4176-4182. doi:10.1007/s11665-018-3533-1
Liu, X., Shi, X., Huang, Y., Deng, X., Yan, Z., & Xue, B. (2018) "The Sliding Wear and Frictional Behavior of M50-10 wt". %(Sn-Ag-Cu) Self-Lubricating Materials at Elevated Temperatures. Journal of Materials Engineering and Performance, 27(8), 4291-4299. doi:10.1007/s11665-018-3484-6
Zhang, M., & Cagnoni, S. (2018) "Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition". In GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion (pp. 1221-1257). doi:10.1145/3205651.3207859
Xue, B., & Zhang, M. (2018) "Evolutionary computation for feature selection and feature construction". In GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion (pp. 1198-1220). doi:10.1145/3205651.3207862
Wang, C., Ma, H., & Chen, G. (2018) "EDA-based approach to comprehensive ality-aware automated semantic web service composition". In GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion (pp. 147-148). doi:10.1145/3205651.3205734
Jiao, R., Zeng, S., Li, C., & Jiang, Y. (2018) "Dynamic constrained multi-objective evolutionary algorithms with a novel selection strategy for constrained optimization". In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 213-214). ACM. doi:10.1145/3205651.3205653
Peng, Y., Chen, G., Singh, H., & Zhang, M. (2018) "NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search". In GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference (pp. 490-497). doi:10.1145/3205455.3205536
Nguyen, S., Zhang, M., & Tan, K. C. (2018) "Adaptive charting genetic programming for dynamic flexible job shop scheduling". In GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference (pp. 1159-1166). doi:10.1145/3205455.3205531
Nguyen, B. H., Xue, B., & Andreae, P. (2018) "A particle swarm optimization based feature selection approach to transfer learning in classification". In GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference (pp. 37-44). doi:10.1145/3205455.3205540
Lensen, A., Xue, B., & Zhang, M. (2018) "Automatically evolving difficult benchmark feature selection datasets with genetic programming". In GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference (pp. 458-465). doi:10.1145/3205455.3205552
Jiao, R., Zeng, S., Li, C., Jiang, Y., & Wang, J. (2018) "Expected improvement of constraint violation for expensive constrained optimization". In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 1039-1046). ACM. doi:10.1145/3205455.3205458
Yska, D., Mei, Y., & Zhang, M. (2018) "Feature Construction in Genetic Programming Hyper-Heuristic for Dynamic Flexible Job Shop Scheduling". In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO) (pp. 149-150). ACM. doi:10.1145/3205651.3205741
Mei, Y., & Zhang, M. (2018) "Genetic Programming Hyper-Heuristic for Multi-Vehicle Uncertain Capacitated Arc Routing Problem". In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO) (pp. 141-142). ACM. doi:10.1145/3205651.3205661
Liu, Y., Yan, Z., Shi, X., Huang, Y., Xue, B., & Ibrahim, A. M. M. (2018) "Differences in tribological performance between spark plasma sintering and laser melting deposition for fabrication of Ni3Al matrix self-lubricating composites". Materials Research Express, 5(7). doi:10.1088/2053-1591/aaceef
Xue, B., Liu, X., Shi, X., Huang, Y., Lu, G., & Wu, C. (2018) "Effect of graphene nanoplatelets on tribological properties of titanium alloy matrix composites at varying sliding velocities". Materials Research Express, 5(6). doi:10.1088/2053-1591/aac703
Nguyen, S., Mei, Y., & Zhang, M. (2018) "Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation". Genetic Programming and Evolvable Machines, 19(1-2), 5-7. doi:10.1007/s10710-017-9317-9
Mei, Y., & Zhang, M. (2018) "Genetic Programming Hyper-Heuristic for Stochastic Team Orienteering Problem with Time Windows". In Proceedings of the IEEE Congress on Evolutionary Computation (CEC) (pp. 1-8). IEEE. doi:10.1109/CEC.2018.8477983
Liu, Y., Deng, X., Shi, X., Liu, X., & Xue, B. (2018) "Effect of synthesis methods on tribological performance of M50-Ag-Ti3SiC2 self-lubricating composites". Materials Research Express, 5(6). doi:10.1088/2053-1591/aacc84
Burmester, G., Ma, H., Steinmetz, D., & Hartmannn, S. (2018) "Big Data and Data Analytics in Aviation". In Advances in Aeronautical Informatics: Technologies Towards Flight 4.0 (pp. 55-65). doi:10.1007/978-3-319-75058-3_5
Chen, G., Peng, Y., & Zhang, M. (2018) "An Adaptive Clipping Approach for Proximal Policy Optimization". arXiv.
Chen, G., Peng, Y., & Zhang, M. (2018) "An Adaptive Clipping Approach for Proximal Policy Optimization". __. doi:10.48550/arxiv.1804.06461
Han, Y., Yang, K., Jing, P., Xue, B., & Ma, W. (2018) "Mechanical and tribological properties of NiAl/muscovite composites". Journal of Alloys and Compounds, 741, 765-774. doi:10.1016/j.jallcom.2018.01.169
Yska, D., Mei, Y., & Zhang, M. (2018) "Genetic Programming Hyper-Heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling". In Proceedings of the European Conference on Genetic Programming (EuroGP) (pp. 306-321). Springer. doi:10.1007/978-3-319-77553-1_19
Rahman, I. M. H., Hollitt, C., & Zhang, M. (2018) "Feature Map Quality Score Estimation Through Regression". IEEE Transactions on Image Processing, 27(4), 1793-1808. doi:10.1109/TIP.2017.2785623
Park, J., Mei, Y., Nguyen, S., Chen, G., & Zhang, M. (2018) "Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling". In Proceedings of the European Conference on Genetic Programming (EuroGP) (pp. 253-270). Springer. doi:10.1007/978-3-319-77553-1_16
Masood, A., Chen, G., Mei, Y., & Zhang, M. (2018) "Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling". In Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP) (pp. 116-131). Springer. doi:10.1007/978-3-319-77449-7_8
da Silva, A. S., Ma, H., Mei, Y., & Zhang, M. (2018) "A Hybrid Memetic Approach for Fully Automated Multi-Objective Web Service Composition". In Proceedings of the IEEE International Conference on Web Services (ICWS) (pp. 26-33). IEEE. doi:10.1109/ICWS.2018.00011
Gomes, H. M., Barddal, J. P., Enembreck, A. F., & Bifet, A. (2018) "A survey on ensemble learning for data stream classification". ACM Computing Surveys, 50(2). doi:10.1145/3054925
Wang, B., Sun, Y., Xue, B., & Zhang, M. (2018) "Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification". __. doi:10.48550/arxiv.1803.06492
Liu, X., Shi, X., Huang, Y., Deng, X., Lu, G., Yan, Z., . . . Xue, B. (2018) "The Sliding Wear and Friction Behavior of M50-Graphene Self-Lubricating Composites Prepared by Laser Additive Manufacturing at Elevated Temperature". Journal of Materials Engineering and Performance, 27(3), 985-996. doi:10.1007/s11665-018-3187-z
Lensen, A., Xue, B., & Zhang, M. (2018) "Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming". __. doi:10.48550/arxiv.1802.00554
Cheng, H., Yao, X., Yang, S., & Zhang, M. (2018) "Guest Editorial: Special Issue on Computational Intelligence for Cloud Computing". IEEE Transactions on Emerging Topics in Computational Intelligence, 2(1), 1-2. doi:10.1109/TETCI.2017.2788548
Hancer, E., Xue, B., & Zhang, M. (2018) "Differential evolution for filter feature selection based on information theory and feature ranking". Knowledge-Based Systems, 140, 103-119. doi:10.1016/j.knosys.2017.10.028
Zhang, F., Mei, Y., & Zhang, M. (2018) "Surrogate-assisted genetic programming for dynamic flexible job shop scheduling". In Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI) (pp. 766-772). Springer. doi:10.1007/978-3-030-03991-2_69
Zhang, F., Mei, Y., & Zhang, M. (2018) "Genetic programming with multi-tree representation for dynamic flexible job shop scheduling". In Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI) (pp. 472-484). Springer. doi:10.1007/978-3-030-03991-2_43
Xie, J., Mei, Y., Ernst, A. T., Li, X., & Song, A. (2018) "A bi-level optimization model for grouping constrained storage location assignment problems". IEEE Transactions on Cybernetics, 48, 385-398. doi:10.1109/TCYB.2016.2638820
Wang, C., Ma, H., Chen, G., & Hartmann, S. (2018) "Towards fully automated semantic web service composition based on estimation of distribution algorithm". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11320 LNAI (pp. 458-471). doi:10.1007/978-3-030-03991-2_42
Wang, C., Ma, H., Chen, A., & Hartmann, S. (2018) "Knowledge-driven automated web service composition—An EDA-based approach". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11234 LNCS (pp. 135-150). doi:10.1007/978-3-030-02925-8_10
Wang, B., Sun, Y., Xue, B., & Zhang, M. (2018) "A hybrid differential evolution approach to designing deep convolutional neural networks for image classification". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11320 LNAI (pp. 237-250). doi:10.1007/978-3-030-03991-2_24
Tran, C. T., Zhang, M., Xue, B., & Andreae, P. (2018) "Genetic programming with interval functions and ensemble learning for classification with incomplete data". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11320 LNAI (pp. 577-589). doi:10.1007/978-3-030-03991-2_53
Tariq, H., Welch, I., & Al-Sahaf, H. (2018) "An Investigation of Hadoop Parameters in SDN-enabled Clusters". In 2018 12th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS) (pp. 1-9). IEEE.
Tan, B., Ma, H., & Mei, Y. (2018) "A Genetic Programming Hyper-heuristic Approach for Online Resource Allocation in Container-Based Clouds". In Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI) (pp. 146-152). Springer. doi:10.1007/978-3-030-03991-2_15
Tallón-Ballesteros, A. J., Tuba, M., Xue, B., & Hashimoto, T. (2018) "Feature selection and interpretable feature transformation: A preliminary study on feature engineering for classification algorithms". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11315 LNCS (pp. 280-287). doi:10.1007/978-3-030-03496-2_31
Tallón-Ballesteros, A. J., Correia, L., & Xue, B. (2018) "Featuring the attributes in supervised machine learning". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10870 LNAI (pp. 350-362). doi:10.1007/978-3-319-92639-1_29
Steinmetz, D., Dyballa, D., Ma, H., & Hartmann, S. (2018) "Using a conceptual model to transform road networks from openstreetmap to a graph database". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11157 LNCS (pp. 301-315). doi:10.1007/978-3-030-00847-5_22
Sim, K., Kaufmann, P., Ascheid, G., Bacardit, J., Cagnoni, S., Cotta, C., . . . Zhang, M. (2018) "Preface (Vol". 10784 LNCS).
Shi, T., Ma, H., & Chen, G. (2018) "Multi-objective container consolidation in cloud data centers". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11320 LNAI (pp. 783-795). doi:10.1007/978-3-030-03991-2_71
Pei, W., Xue, B., Shang, L., & Zhang, M. (2018) "Genetic programming based on granular computing for classification with high-dimensional data". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11320 LNAI (pp. 643-655). doi:10.1007/978-3-030-03991-2_58
Park, J., Mei, Y., Nguyen, S., Chen, G., & Zhang, M. (2018) "Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming". In Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI) (pp. 739-751). Springer. doi:10.1007/978-3-030-03991-2_66
Park, J., Mei, Y., Nguyen, S., Chen, G., & Zhang, M. (2018) "An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling". Applied Soft Computing, 63, 72-86. doi:10.1016/j.asoc.2017.11.020
Pappa, G. L., Emmerich, M. T. M., Bazzan, A., Browne, W., Deb, K., Doerr, C., . . . Zhang, M. (2018) "Tutorials at PPSN 2018". In Lecture Notes in Computer Science (pp. 477-489). Springer International Publishing. doi:10.1007/978-3-319-99259-4_38
O’Neill, D., Xue, B., & Zhang, M. (2018) "Co-evolution of novel tree-like ANNs and activation functions: An observational study". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11320 LNAI (pp. 616-629). doi:10.1007/978-3-030-03991-2_56
Mitrovic, T., Xue, B., & Li, X. (2018) "Preface (Vol". 11320 LNAI).
Mi, Z., Shang, L., & Xue, B. (2018) "Multi-dimensional optical flow embedded genetic programming for anomaly detection in crowded scenes". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11302 LNCS (pp. 486-497). doi:10.1007/978-3-030-04179-3_43
Masood, A., Chen, G., Mei, Y., & Zhang, M. (2018) "Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III". In Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI) (pp. 358-370). Springer. doi:10.1007/978-3-030-03991-2_34
Mahmood, M. A., Welch, I., & Andreae, P. (2018) "Enhanced event reliability in wireless sensor networks". In 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) (pp. 93-100). IEEE.
MacLachlan, J., Mei, Y., Branke, J., & Zhang, M. (2018) "An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem". In Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI) (pp. 432-444). Springer. doi:10.1007/978-3-030-03991-2_40
Liu, Y., Browne, W. N., & Xue, B. (2018) "Hierarchical learning classifier systems for polymorphism in heterogeneous niches". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11320 LNAI (pp. 397-409). doi:10.1007/978-3-030-03991-2_37
Liu, Y., Browne, W. N., & Xue, B. (2018) "Adapting Bagging and Boosting to Learning Classifier Systems". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10784 LNCS (pp. 405-420). doi:10.1007/978-3-319-77538-8_28
Lensen, A., Xue, B., & Zhang, M. (2018) "Generating redundant features with unsupervised multi-tree genetic programming". In Unknown Book (Vol. 10781 LNCS, pp. 84-100). doi:10.1007/978-3-319-77553-1_6
Koay, A., Chen, A., Welch, I., & Seah, W. K. G. (2018) "A new multi classifier system using entropy-based features in DDoS attack detection". In 2018 International Conference on Information Networking (ICOIN) (pp. 162-167). IEEE.
Karunakaran, D., Mei, Y., Chen, G., & Zhang, M. (2018) "Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming". In Proceedings of the International Conference on Parallel Problem Solving from Nature (PPSN) (pp. 347-359). Springer. doi:10.1007/978-3-319-99259-4_28
Hartmann, S., & Ma, H. (2018) "Preface (Vol". 11029 LNCS).
Hartmann, S., & Ma, H. (2018) "Preface (Vol". 11030 LNCS).
Hartmann, S., & Ma, H. (2018) "Preface (Vol". 11250 LNCS). doi:10.1063/1.4828676
Hancer, E., Xue, B., Zhang, M., Karaboga, D., & Akay, B. (2018) "Pareto front feature selection based on artificial bee colony optimization". Information Sciences, 422, 462-479. doi:10.1016/j.ins.2017.09.028
Gomes, H. M., Barddal, J. P., Boiko, L. E., & Bifet, A. (2018) "Adaptive random forests for data stream regression". In ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (pp. 267-272).
Evans, B., Al-Sahaf, H., Xue, B., & Zhang, M. (2018) "Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification". In Proceedings of 2018 IEEE Congress on Evolutionary Computation (CEC 2018) (pp. 1538-1545). IEEE. doi:10.1109/CEC.2018.8477933
da Silva, A. S., Mei, Y., Ma, H., & Zhang, M. (2018) "Evolutionary computation for automatic Web service composition: an indirect representation approach". Journal of Heuristics, 24, 425-456. doi:10.1007/s10732-017-9330-4
Chen, K., Zhou, F., & Xue, B. (2018) "Particle swarm optimization for feature selection with adaptive mechanism and new updating strategy". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11320 LNAI (pp. 419-431). doi:10.1007/978-3-030-03991-2_39
Chen, G., Peng, Y., & Zhang, M. (2018) "Constrained Expectation-Maximization Methods for Effective Reinforcement Learning". In 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) (pp. 171-178). Retrieved from https://www.webofscience.
Castelli, M., Sekanina, L., Zhang, M., Cagnoni, S., & García-Sánchez, P. (2018) "Preface (Vol". 10781 LNCS).
Bi, Y., Xue, B., & Zhang, M. (2018) "An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming". In Unknown Book (Vol. 10784 LNCS, pp. 421-438). doi:10.1007/978-3-319-77538-8_29
Bi, Y., Xue, B., & Zhang, M. (2018) "A gaussian filter-based feature learning approach using genetic programming to image classification". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11320 LNAI (pp. 251-257). doi:10.1007/978-3-030-03991-2_25
Al-Shaboti, M., Welch, I., Chen, A., & Mahmood, M. A. (2018) "Towards secure smart home IoT: Manufacturer and user network access control framework". In 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) (pp. 892-899). IEEE.
Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2018) "A hybrid GP-KNN imputation for symbolic regression with missing values". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11320 LNAI (pp. 345-357). doi:10.1007/978-3-030-03991-2_33
Ajmal, A., Hollitt, C., Frean, M., & Al-Sahaf, H. (2018) "A Comparison of RGB and HSV Colour Spaces for Visual Attention Models". In Proceedings of the 33rd International Conference on Image and Vision Computing New Zealand (IVCNZ 2018) (pp. 1-6). IEEE. doi:10.1109/IVCNZ.2018.8634752
Ain, Q. U., Xue, B., Al-Sahaf, H., & Zhang, M. (2018) "Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification". In Unknown Conference Vol. 11012 (pp. 732-745). Springer. doi:10.1007/978-3-319-97304-3_56
Ain, Q. U., Al-Sahaf, H., Xue, B., & Zhang, M. (2018) "A Multi-tree Genetic Programming Representation For Melanoma Detection Using Local and Global Features". In Unknown Conference Vol. 11320 (pp. 111-123). Springer. doi:10.1007/978-3-030-03991-2_12
Afzali, S., Al-Sahaf, H., Xue, B., Hollitt, C., & Zhang, M. (2018) "Foreground and Background Feature Fusion using a Convex Hull based Center Prior for Salient Object Detection". In Proceedings of the 33rd International Conference on Image and Vision Computing New Zealand (IVCNZ 2018) (pp. 1-6). IEEE. doi:10.1109/IVCNZ.2018.8634726
Afzali, S., Al-Sahaf, H., Xue, B., Hollitt, C., & Zhang, M. (2018) "A Genetic Programming approach for Constructing Foreground and Background Saliency Features for Salient Object Detection". In Unknown Conference Vol. 11320 (pp. 209-215). Springer. doi:10.1007/978-3-030-03991-2_21
Abdollahi, M., Gao, X., Mei, Y., Ghosh, S., & Li, J. (2018) "Uncovering Discriminative Knowledge-Guided Medical Concepts for Classifying Coronary Artery Disease Notes". In Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI) (pp. 104-110). Springer. doi:10.1007/978-3-030-03991-2_11
Castelli, M., Sekanina, L., Zhang, M., Cagnoni, S., & García-Sánchez, P. (Eds.) (2018) "Genetic Programming". __. doi:10.1007/978-3-319-77553-1

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