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

  • Niu, B., Fan, Y., Xiao, H., & Xue, B. (2012) "Bacterial foraging based approaches to portfolio optimization with liquidity risk". Neurocomputing, 98, 90-100. doi:10.1016/j.neucom.2011.05.048
  • Ma, H., Schewe, K. D., Thalheim, B., & Wang, Q. (2012) "Conceptual Modelling of Services J". UCS special issue. Journal of Universal Computer Science, 18(17), 2361-2363.
  • Jabeen, S., Gao, X., & Andreae, P. (2012) "Using Wikipedia as an External Knowledge Source for Supporting Contextual Disambiguation". Journal of Software Engineering and Applications, 5(12B), 175-180. doi:10.4236/jsea.2012.512B034
  • Bell, T., Newton, H., Andreae, P., & Robins, A. (2012) "The introduction of computer Science to NZ high schools - An analysis of student work". In ACM International Conference Proceeding Series (pp. 5-15). doi:10.1145/2481449.2481454
  • Neshatian, K., Zhang, M., & Andreae, P. (2012) "A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming". IEEE Transactions on Evolutionary Computation, 16(5), 645-661. doi:10.1109/TEVC.2011.2166158
  • Ma, H., Schewe, K. -D., Thalheim, B., & Wang, Q. (2012) "A formal model for the interoperability of service clouds". Service-Oriented Computing and Applications, 6(3), 189-205. doi:10.1007/s11761-012-0101-7
  • Chandra, R., Frean, M., & Zhang, M. (2012) "Crossover-based local search in cooperative co-evolutionary feedforward neural networks". Applied Soft Computing, 12(9), 2924-2932. doi:10.1016/j.asoc.2012.04.010
  • Chandra, R., Frean, M., & Zhang, M. (2012) "On the issue of separability for problem decomposition in cooperative neuro-evolution". Neurocomputing, 87, 33-40. doi:10.1016/j.neucom.2012.02.005
  • Chandra, R., & Zhang, M. (2012) "Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction". Neurocomputing, 86, 116-123. doi:10.1016/j.neucom.2012.01.014
  • Chandra, R., Frean, M., & Zhang, M. (2012) "Adapting modularity during learning in cooperative co-evolutionary recurrent neural networks". Soft Computing, 16(6), 1009-1020. doi:10.1007/s00500-011-0798-9
  • Zhu, L., Pang, S., Chen, G., & Sarrafzadeh, A. (2012) "Class imbalance robust incremental LPSVM for data streams learning". In Neural Networks (IJCNN), The 2012 International Joint Conference on (pp. 1-8). Brisbane, QLD, Australia: IEEE. doi:10.1109/IJCNN.2012.6252836
  • Xue, B., Zhang, M., & Browne, W. (2012) "Single feature ranking and binary Particle Swarm Optimisation based feature subset ranking for feature selection". In Proceedings of the Thirty-Fifth Australasian Computer Science Conference (ACSC 2012) (pp. 27-36). Melbourne: Australian Computer Society.
  • Xue, B., Zhang, M., & Browne, W. (2012) "Particle Swarm Optimisation for Feature Selection in Classification: A Multi-Objective Approach". IEEE Transactions on Systems, Man, and Cybernetics (Part B). doi:10.1109/TSMCB.2012.2227469
  • Xue, B., Zhang, M., & Browne, W. (2012) "New fitness functions in binary Particle Swarm Optimisation for feature selection". In Proceedings of 2012 IEEE Congress on Evolutionary Computation (pp. 2145-2152). Washington, DC: IEEE Press.
  • Xue, B., Zhang, M., & Browne, W. (2012) "Multi-Objective Particle Swarm Optimisation (PSO) for Feature Selection". In T. Soule (Ed.), GECCO’12 Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation (pp. 81-88). New York: The Association for Computing Machinery, Inc. (ACM). Retrieved from https://dl.acm.org/citation.
  • Xue, B., Cervante, L., Shang, L., & Zhang, M. (2012) "A Particle Swarm Optimisation based multi-objective filter approach to feature selection for classification". In Proceedings of the 12th Pacific Rim International Conference on Artificial Intelligence (pp. 673-685). Kuching, Sarawak: PRICAI.
  • Xue, B., Cervante, L., Shang, L., Browne, W., & Zhang, M. (2012) "A multi-objective particle swarm optimisation for filter-based feature selection in classification problems". Connection Science, 24(2-3), 91-116. doi:10.1080/09540091.2012.737765
  • Welch, I., Gao, X., Komisarczuk, P., & others. (2012) "A novel scoring model to detect potential malicious web pages". In 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications (pp. 254-263). IEEE.
  • Wang, D., Gao, X., & Andreae, P. (2012) "DIKEA: Domain-Independent Keyphrase Extraction Algorithm". In Australasian Conference on Artificial Intelligence (pp. 719-730). Berlin: Springer.
  • Wang, D., Gao, X., & Andreae, P. (2012) "Automatic Keyword Extraction from Single-Sentence Natural Language Queries". In PRICAI (pp. 637-648). Berlin: Springer.
  • Song, A., & Zhang, M. (2012) "Genetic Programming for Detecting Target Motions". Connection Science, 24(2-3), 117-141. doi:10.1080/09540091.2012.744873
  • Shang, L., Wang, H., Dai, X., & Zhang, M. (2012) "Opinion targets extraction for short comments". In Proceeding of the 12th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2012) (pp. 528-539). Berlin: Springer.
  • Setayeshbarhaghi, M., Zhang, M., & Johnston, M. (2012) "Effects of Static and Dynamic Topologies in Particle Swarm Optimisation for Edge Detection in Noisy Images". In Proceedings of 2012 IEEE Congress on Evolutionary Computation (pp. 8-15). Washington, DC: IEEE Press.
  • Setayeshbarhaghi, M., Zhang, M., & Johnston, M. (2012) "A Spatial Random-Meaningful Neighbourhood Topology in PSO for Edge Detection in Noisy Images". In Proceedings of 2012 Genetic and Evolutionary Computation Conference (GECCO (Companion) 2012) (pp. 1403-1404). Philadelphia, USA: ACM Press.
  • Scoble, A., Johnston, M., & Zhang, M. (2012) "Local Search in Parallel Linear Genetic Programming for Multiclass Classification". In Proceedings of the 25th Australasian Joint Conference on Artificial Intelligence (pp. 373-384). Sydney, Australia: Springer.
  • Rada-Velila, J., Zhang, M., & Seah, K. (2012) "Evaporation mechanisms for Particle Swarm Optimization". In Proceedings of the Ninth International Conference on Simulated Evolution And Learning (SEAL2012) (pp. 238-247). Berlin: Springer.
  • Rada Vilela, J., Zhang, M., & Seah, K. (2012) "A performance study on the effects of noise and evaporation in Particle Swarm Optimization". In Proceedings of 2012 IEEE Congress on Evolutionary Computation (pp. 873-880). Washington, DC: IEEE Press.
  • Nguyen, S., Zhang, M., Johnston, M., & Chen Tan, K. (2012) "Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming". In Proceedings of the 15th European Conference on Genetic Programming (EuroGP) (pp. 121-133). Berlin: Springer. doi:10.1007/978-3-642-29139-5_11
  • Nguyen, S., Zhang, M., Johnston, M., & Chen Tan, K. (2012) "Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing using Genetic Programming". In Proceedings of the Ninth International Conference on Simulated Evolution and Learning (SEAL2012) (pp. 341-350). Hanoi, Vietnam: Springer.
  • Nguyen, S., Zhang, M., Johnston, M., & Chen Tan, K. (2012) "A Coevolution Genetic Programming Method to Evolve Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling Problems". In Proceedings of 2012 IEEE Congress on Evolutionary Computation (pp. 3261-3268). Washington, DC: IEEE Press.
  • Neshatian, K., & Zhang, M. (2012) "Improving relevance measures using Genetic Programming". In Proceedings of the 15th European Conference on Genetic Programming (pp. 97-108). Berlin: Springer. doi:10.1007/978-3-642-29139-5_9
  • Marzukhi, S., Browne, W., & Zhang, M. (2012) "Two-cornered learning classifier systems for pattern generation and classification". In Proceedings of 2012 Genetic and Evolutionary Computation Conference (GECCO 2012) (pp. 895-902). New York: ACM Press.
  • Male, J., Gao, X., & Andreae, P. (2012) "Query Directed Web Page Clustering using Suffix Tree and Wikipedia Links". In International Conference on Advanced Data Mining and Applications (pp. 91-99). Berlin: Springer.
  • Ma, H., Schewe, K. -D., Thalheim, B., & Wang, Q. (2012) "Conceptual Modelling of Services". JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 18(17), 2361-2363. Retrieved from https://www.webofscience.
  • Ma, H. (2012) "Transforming Geometrically Enhanced Conceptual Model Schemas to GML". In Conceptual Modelling and Its Theoretical Foundations (pp. 251-267). Springer Berlin Heidelberg. doi:10.1007/978-3-642-28279-9_18
  • Ma, H. (2012) "Transforming Geometrically Enhanced Conceptual Model Schemas to GML". In A. Düsterhöft, K. -D. Schewe, & M. Klettke (Eds.), Conceptual Modelling and Its Theoretical Foundations: Essays Dedicated to Bernhard Thalheim on the Occasion of His 60th Birthday (Vol. 7260, pp. 251-267). Heidelberg Dordrecht London New York: Springer. doi:10.1007/978-3-642-28279-9
  • Li, R., Li, W., Shang, L., Gao, Y., & Zhang, M. (2012) "Opponent's style modeling based on situations for Bayesian Poker". In Proceedings of the 25th Australasian Joint Conference on Artificial Intelligence (pp. 385-396). Berlin: Springer.
  • Jabeen, S., Gao, X., & Andreae, P. (2012) "Harnessing Wikipedia Semantics for Computing Contextual Relatedness". In PRICAI (pp. 861-865). Berlin: Springer.
  • Iqbal, M., Browne, W., & Zhang, M. (2012) "XCSR with computed continuous action". In Proceedings of the 25th Australasian Joint Conference on Artificial Intelligence (pp. 350-361). Berlin: Springer.
  • Iqbal, M., Browne, W., & Zhang, M. (2012) "Extracting and using building blocks of knowledge in learning classifier systems". In Proceedings of 2012 Genetic and Evolutionary Computation Conference (GECCO 2012) (pp. 863-870). New York: ACM Press.
  • Hunt, R., Neshatian, K., & Zhang, M. (2012) "Scalability analysis of Genetic Programming classifiers". In Proceedings of 2012 IEEE Congress on Evolutionary Computation (pp. 1416-1422). Washington, DC: IEEE Press.
  • Hunt, R., Neshatian, K., & Zhang, M. (2012) "A Genetic Programming approach to hyper-heuristic feature selection". In Proceedings of the Ninth International Conference on Simulated Evolution And Learning (SEAL2012) (pp. 320-330). Berlin: Springer.
  • Huayang, X., & Zhang, M. (2012) "Parent Selection Pressure Auto-tuning for Tournament Selection in Genetic Programming". In IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2011.2182652
  • Huayang, X., & Zhang, M. (2012) "Impacts of sampling strategies in tournament selection for genetic programming". Journal of Soft Computing, 16(4), 615-633.
  • Hindmarsh, S., Andreae, P., & Zhang, M. (2012) "Genetic Programming for improving image descriptors generated using the Scale-Invariant Feature Transform". In Proceedings of the 27th International Conference on Image and Vision Computing New Zealand (pp. 85-90). New York: ACM Press.
  • Fu, W., Johnston, M., & Zhang, M. (2012) "Soft Edge Maps From Edge Detectors Evolved by Genetic Programming". In Proceedings of 2012 IEEE Congress on Evolutionary Computation (pp. 24-31). Washington, DC: IEEE Press.
  • Fu, W., Johnston, M., & Zhang, M. (2012) "Multi-Frequency Transformation for Edge Detection". In Proceedings of the 27th International Conference on Image and Vision Computing New Zealand (pp. 204-209). New York: ACM Press. doi:10.1145/2425836.2425879
  • Fu, W., Johnston, M., & Zhang, M. (2012) "Genetic Programming for Edge Detection via Balancing Individual Training Images". In Proceedings of 2012 IEEE Congress on Evolutionary Computation (pp. 2597-2604). Washington, DC: IEEE Press.
  • Fu, W., Johnston, M., & Zhang, M. (2012) "Genetic Programming for Edge Detection Using Blocks to Extract Features". In Proceedings of 2012 Genetic and Evolutionary Computation Conference (GECCO 2012) (pp. 855-862). Philadelphia, USA: ACM Press.
  • Fu, W., Johnston, M., & Zhang, M. (2012) "Genetic Programming for Edge Detection Based on Figure of Merit". In Proceedings of 2012 Genetic and Evolutionary Computation Conference (GECCO (Companion) 2012) (pp. 1483-1484). Philadelphia, USA: ACM Press.
  • Fu, W., Johnston, M., & Zhang, M. (2012) "Figure of Merit Based Fitness Functions in Genetic Programming For Edge Detection". In Proceedings of the Ninth International Conference on Simulated Evolution And Learning (SEAL2012) (pp. 22-31). Hanoi, Vietnam: Springer.
  • Fu, W., Johnston, M., & Zhang, M. (2012) "Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection". In Proceedings of the 25th Australasian Joint Conference on Artificial Intelligence (pp. 144-155). Sydney, Australia: Springer.
  • Ebadi, T., Browne, W., & Zhang, M. (2012) "XCS-based versus UCS-based feature pattern classification system". In Proceedings of 2012 Genetic and Evolutionary Computation Conference (GECCO 2012) (pp. 839-846). New York: ACM Press.
  • Downey, C., Zhang, M., & Liu, J. (2012) "Parallel Linear Genetic Programming for Multi-class Classification". Genetic Programming and Evolvable Machines, 13(3), 275-304. doi:10.1007/s10710-012-9162-9
  • Chen, G., Pang, S., Sarrafzadeh, A., Ban, T., & Inoue, D. (2012) "SDE-Driven service provision control". In International Conference on Neural Information Processing (pp. 260-268). Doha, Qatar: Springer, Berlin, Heidelberg. doi:10.1007/978-3-642-34475-6_32
  • Chandra, R., Zhang, M., & Peng, L. (2012) "Application of cooperative convolution optimization for 13C Metabolic Flux Analysis: Simulation of isotopic labelling patterns based on tandem mass spectrometry measurements". In Proceedings of the Ninth International Conference on Simulated Evolution and Learning (SEAL2012) (pp. 178-187). Berlin: Springer.
  • Chandra, R., Frean, M., & Zhang, M. (2012) "Adapting modularity during learning in cooperative co-evolutionary recurrent neural networks". Soft Computing, 16, 1009-1020.
  • Cervante, L., Xue, B., Zhang, M., & Shang, L. (2012) "Binary Particle Swarm Optimisation for feature selection: a filter based approach". In WCCI 2012 IEEE World Congress on Computational Intelligence (pp. 8 pages). Washington, DC: IEEE. doi:10.1109/CEC.2012.6256452
  • Cervante, L., Xue, B., Shang, L., & Zhang, M. (2012) "A dimension reduction approach to classification based on Particle Swarm Optimisation and Rough Set Theory". In Proceedings of the 25th Australasian Joint Conference on Artificial Intelligence (pp. 313-325). Berlin: Springer.
  • Carnegie, D., Watterson, C., Andreae, P., & Browne, W. (2012) "Prediction of Success in Engineering Study". In Proceedings of the IEEE Engineering Education Conference (Educon 2012) (pp. 57-65).
  • Carnegie, D., Watterson, C., Andreae, P., & Browne, W. (2012) "NCEA as a predictor of success in tertiary engineering study". In Proceedings of the 19th Electronics New Zealand Conference (ENZCon) (pp. 7-12).
  • Bruce, C., Gao, X., Andreae, P., & Jabeen, S. (2012) "Query Expansion Powered by Wikipedia Hyperlinks". In Australasian Conference on Artificial Intelligence (pp. 421-432). Berlin: Springer.
  • Bhowan, U., Johnston, M., & Zhang, M. (2012) "Developing New Fitness Functions in Genetic Programming for Classification with Unbalanced Data". IEEE Transactions on Systems, Man, and Cybernetics (Part B)., 42(2), 406-421. doi:10.1109/TSMCB.2011.2167144
  • Bhowan, U., Johnston, M., & Zhang, M. (2012) "Developing in Genetic Programming for Classification with Unbalanced Data". In IEEE Transactions on Systems, Man, and Cybernetics (Part B) Vol. 42 (pp. 406-421). doi:10.1109/TSMCB.2011.2167144
  • Bhowan, U. (2012) "Genetic programming for classification with unbalanced data". (PhD Thesis).
  • Bell, T., Andreae, P., & Robins, A. (2012) "Computer science in NZ high schools: the first year of the new standards". In SIGCSE '12 Proceedings of the 43rd ACM technical symposium on Computer Science Education (pp. 343-348). New York: ACM. doi:10.1145/2157136.2157240
  • Al-Sahaf, H., Song, A., Neshatian, K., & Zhang, M. (2012) "Two-tier Genetic Programming: Towards Raw Pixel-based Image Classification". Expert Systems with Applications, 39, 12291-12301. doi:10.1016/j.eswa.2012.02.123
  • Al-Sahaf, H., Song, A., Neshatian, K., & Zhang, M. (2012) "Extracting Image Features for Classification by Two-tier Genetic Programming". In Proceedings of 2012 IEEE Congress on Evolutionary Computation (CEC 2012) (pp. 567-574). IEEE. doi:10.1109/CEC.2012.6256412
  • Ahmed, S., Zhang, M., & Peng, L. (2012) "Genetic Programming for biomarker detection in mass spectrometry data". In Proceedings of the 25th Australasian Joint Conference on Artificial Intelligence (pp. 266-278). Berlin: Springer.
  • Abdulhamid, F., Song, A., Neshatian, K., & Zhang, M. (2012) "Evolving Genetic Programming classifiers with loop structures". In Proceedings of 2012 IEEE Congress on Evolutionary Computation (pp. 2581-2588). Washington, DC: IEEE Press.
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