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

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  • Ghifary, M., Balduzzi, D., Kleijn, W. B., & Zhang, M. (2015) "Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization". __. doi:10.48550/arxiv.1510.04373
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  • Ghifary, M., Kleijn, W. B., Zhang, M., & Balduzzi, D. (2015) "Domain Generalization for Object Recognition with Multi-task Autoencoders". __. doi:10.48550/arxiv.1508.07680
  • Hancer, E., Xue, B., Karaboga, D., & Zhang, M. (2015) "A binary ABC algorithm based on advanced similarity scheme for feature selection". Applied Soft Computing Journal, 36, 334-348. doi:10.1016/j.asoc.2015.07.023
  • Fu, W., Johnston, M., & Zhang, M. (2015) "Distribution-based invariant feature construction using genetic programming for edge detection". Soft Computing, 19(8), 2371-2389. doi:10.1007/s00500-014-1432-4
  • Wang, D. X., Gao, X., & Andreae, P. (2015) "DIKEA: Exploiting Wikipedia for keyphrase extraction". Web Intelligence, 13(3), 153-165. doi:10.3233/WEB-150318
  • Fu, W., Zhang, M., & Johnston, M. (2015) "Genetic programming for extracting edge features using two blocks". In Conferences in Research and Practice in Information Technology Series Vol. 168 (pp. 141-150).
  • Butler-Yeoman, T., Xue, B., & Zhang, M. (2015) "Particle swarm optimisation for feature selection: A size-controlled approach". In Conferences in Research and Practice in Information Technology Series Vol. 168 (pp. 151-159).
  • Zhang, M., & Cagnoni, S. (2015) "Evolutionary image analysis, signal processing and pattern recognition". In GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference (pp. 473-502). doi:10.1145/2739482.2756566
  • Tran, C. T., Zhang, M., & Andreae, P. (2015) "Multiple imputation for missing data using genetic programming". In GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference (pp. 583-590). Online. doi:10.1145/2739480.2754665
  • Park, J., Nguyen, S., Zhang, M., & Johnston, M. (2015) "A single population genetic programming based ensemble learning approach to job shop scheduling". In GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference (pp. 1451-1452). doi:10.1145/2739482.2764651
  • Nguyen, S., Zhang, M., & Tan, K. C. (2015) "A dispatching rule based genetic algorithm for order acceptance and scheduling". In GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference (pp. 433-440). doi:10.1145/2739480.2754821
  • Iqbal, M., Browne, W. N., & Zhang, M. (2015) "Improving genetic search in XCS-based classifier systems through understanding the evolvability of classifier rules". Soft Computing, 19(7), 1863-1880. doi:10.1007/s00500-014-1369-7
  • Xue, B., Zhang, M., & Browne, W. N. (2015) "A comprehensive comparison on evolutionary feature selection approaches to classification". International Journal of Computational Intelligence and Applications, 14(2), 23 pages. doi:10.1142/S146902681550008X
  • Rada-Vilela, J., Johnston, M., & Zhang, M. (2015) "Population statistics for particle swarm optimization: Hybrid methods in noisy optimization problems". Swarm and Evolutionary Computation, 22, 15-29. doi:10.1016/j.swevo.2015.01.003
  • Gomes, H. M., Barddal, J. P., & Enembreck, F. (2015) "Pairwise combination of classifiers for ensemble learning on data streams". In Proceedings of the ACM Symposium on Applied Computing Vol. 13-17-April-2015 (pp. 941-946). doi:10.1145/2695664.2695754
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  • Park, J., Nguyen, S., Zhang, M., & Johnston, M. (2015) "Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling". In P. Machado, M. I. Heywood, J. McDermott, M. Castelli, P. GarciaSanchez, P. Burelli, . . . K. Sim (Eds.), GENETIC PROGRAMMING (EUROGP 2015) Vol. 9025 (pp. 92-104). Copenhagen, DENMARK: SPRINGER-VERLAG BERLIN. doi:10.1007/978-3-319-16501-1_8
  • Nguyen, H. B., Xue, B., Liu, I., Andreae, P., & Zhang, M. (2015) "Gaussian transformation based representation in particle swarm optimisation for feature selection". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9028 (pp. 541-553). doi:10.1007/978-3-319-16549-3_44
  • Mora, A. M., Squillero, G., Agapitos, A., Burelli, P., Bush, W. S., Cagnoni, S., . . . Zhang, M. (2015) "Applications of evolutionary computation: 18th European Conference, EvoApplications 2015 Copenhagen, Denmark, April 8–10, 2015 proceedings". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9028. doi:10.1007/978-3-319-16549-3
  • Mirghasemi, S., Rayudu, R., & Zhang, M. (2015) "A heuristic solution for noisy image segmentation using Particle Swarm Optimization and Fuzzy clustering". In 2015 7th International Joint Conference on Computational Intelligence (IJCCI 2015) Vol. 1 (pp. 17-27). Lisbon, Portugal.
  • Mei, Y., Li, X., Salim, F., & Yao, X. (2015) "Heuristic evolution with genetic programming for traveling thief problem". In Proceedings of the IEEE Congress on Evolutionary Computation (CEC) (pp. 2753-2760). IEEE. doi:10.1109/CEC.2015.7257230
  • Marshall, R. J., Johnston, M., & Zhang, M. (2015) "Hyper-heuristic operator selection and acceptance criteria". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9026 (pp. 99-113). doi:10.1007/978-3-319-16468-7_9
  • Ma, H., Wang, A., & Zhang, M. (2015) "A Hybrid Approach Using Genetic Programming and Greedy Search for QoS-Aware Web Service Composition". In A. Hameurlain, J. Kung, R. Wagner, H. Decker, L. Lhotska, & S. Link (Eds.), Transactions on Large-Scale Data- and Knowledge-Centered Systems XVIII : Special Issue on Databaseand Expert-Systems Applications Vol. 8980 (pp. 180-205). Berlin Heidelberg: SPRINGER-VERLAG. doi:10.1007/978-3-662-46485-4_7
  • Liang, Y., Zhang, M., & Browne, W. N. (2015) "A supervised figure-ground segmentation method using genetic programming". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9028 (pp. 491-503). doi:10.1007/978-3-319-16549-3_40
  • Lensen, A., Al-Sahaf, H., Zhang, M., & Xue, B. (2015) "A Hybrid Genetic Programming Approach to Feature Detection and Image Classification". In Proceedings of the 30th International Conference on Image and Vision Computing New Zealand (IVCNZ 2015) (pp. 1-6). IEEE. doi:10.1109/IVCNZ.2015.7761564
  • Lensen, A., Al-Sahaf, H., Zhang, M., & Verma, B. (2015) "Genetic Programming for Algae Detection in River Images". In Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015) (pp. 2468-2475). IEEE. doi:10.1109/CEC.2015.7257191
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  • Hartman, S., Ma, H., & Vechsamutvaree, P. (2015) "Providing ontology-based privacy-aware data access through web services". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9382 (pp. 74-85). doi:10.1007/978-3-319-25747-1_8
  • Gomes, H. M., De Carvalho, D. R., Zubieta, L., Barddal, J. P., & Malucelli, A. (2015) "On the discovery of time distance constrained temporal association rules". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9490 (pp. 510-519). doi:10.1007/978-3-319-26535-3_58
  • Gan, X., Liu, L., Niu, B., Tan, L. J., Zhang, F. F., & Liu, J. (2015) "SRBFOs for solving the heterogeneous fixed fleet vehicle routing problem". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9226 (pp. 725-732). doi:10.1007/978-3-319-22186-1_72
  • Fang, W., Li, X., Zhang, M., & Hu, M. (2015) "Nature-Inspired Algorithms for Real-World Optimization Problems". Journal of Applied Mathematics, 2015. doi:10.1155/2015/359203
  • De Souza, A. J., Borges, A. P., Gomes, H. M., Barddal, J. P., & Enembreck, F. (2015) "Applying ensemble-based online learning techniques on crime forecasting". In ICEIS 2015 - 17th International Conference on Enterprise Information Systems, Proceedings Vol. 1 (pp. 17-24). doi:10.5220/0005335700170024
  • da Silva, A. S., Ma, H., & Zhang, M. (2015) "GraphEvol: A graph evolution technique for web service composition". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9262 (pp. 134-142). doi:10.1007/978-3-319-22852-5_12
  • Cotterell, K., Welch, I., & Chen, A. (2015) "An android security policy enforcement tool". International Journal of Electronics and Telecommunications, 61, 311-320.
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