Publications 2017 - 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. (2017) "An ensemble of rule-based classifiers for incomplete data". In Proceedings - 2017 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems, IES 2017 Vol. 2017-January (pp. 7-12). doi:10.1109/IESYS.2017.8233553
Chen, Q. (2017) "Improving the Generalisation of Genetic Programming for Symbolic Regression". (PhD Thesis).
Sun, Y., Xue, B., Zhang, M., & Yen, G. G. (2017) "A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification". __. doi:10.48550/arxiv.1712.05042
Xue, B., Jing, P., & Ma, W. (2017) "Tribological Properties of NiAl Matrix Composites Filled with Serpentine Powders". Journal of Materials Engineering and Performance, 26(12), 5816-5824. doi:10.1007/s11665-017-3058-z
Omidvar, M. N., Yang, M., Mei, Y., Li, X., & Yao, X. (2017) "DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization". IEEE Transactions on Evolutionary Computation, 21(6), 929-942. doi:10.1109/tevc.2017.2694221
Jiao, R., Zeng, S., Alkasassbeh, J. S., & Li, C. (2017) "Dynamic multi-objective evolutionary algorithms for single-objective optimization". Applied Soft Computing, 61, 793-805. doi:10.1016/j.asoc.2017.08.030
Huang, Y., Xue, B., Shi, X., Yang, K., Zhai, W., & Xiao, Y. (2017) "Study on Tribological Performance of NiAl Matrix Self-Lubricating Composites Containing Graphene at Different Loads". Tribology Transactions, 60(6), 1043-1052. doi:10.1080/10402004.2016.1245455
Zhang, M. (2017) "Keynote talks: Evolutionary feature selection and dimensionality reduction". In 2017 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES) (pp. ix-xii). IEEE. doi:10.1109/iesys.2017.8233551
Sun, Y., Xue, B., & Zhang, M. (2017) "Evolving Deep Convolutional Neural Networks for Image Classification". (pp. 14 pages). Retrieved from http://arxiv.org/abs/1710.
Sun, Y., Xue, B., Zhang, M., & Yen, G. G. (2017) "Evolving Deep Convolutional Neural Networks for Image Classification". __. doi:10.48550/arxiv.1710.10741
Gomes, H. M., Bifet, A., Read, J., Barddal, J. P., Enembreck, F., Pfharinger, B., . . . Abdessalem, T. (2017) "Adaptive random forests for evolving data stream classification". Machine Learning, 106(9-10), 1469-1495. doi:10.1007/s10994-017-5642-8
Chen, Q., Zhang, M., & Xue, B. (2017) "Feature selection to improve generalization of genetic programming for high-dimensional symbolic regression". IEEE Transactions on Evolutionary Computation, 21(5), 792-806. doi:10.1109/TEVC.2017.2683489
Xue, B. (2017) "Sebastian Ventura and Jose Maria Luna: Pattern mining with evolutionary algorithms". Genetic Programming and Evolvable Machines, 18(3), 407-409. doi:10.1007/s10710-017-9306-z
Liu, X., Shi, X., Wu, C., Yang, K., Huang, Y., Deng, X., . . . Xue, B. (2017) "Tribological behavior of M50-MoS2 self-lubricating composites from 150 to 450 °C". Materials Chemistry and Physics, 198, 145-153. doi:10.1016/j.matchemphys.2017.05.044
Luo, W., Hart, E., & Zhang, M. (2017) "Guest Editorial: Special Issue on Emergent Topics in Artificial Immune Systems". IEEE Transactions on Emerging Topics in Computational Intelligence, 1(4), 235. doi:10.1109/TETCI.2017.2723738
Qu, Y., Ng, B., Yu, H., Andreae, P., & Seah, W. K. G. (2017) "Fitness evaluation for channel assignment algorithms in IEEE 802". 11 WMNs. In 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017 (pp. 361-364). doi:10.1109/CCNC.2017.7983135
Nourmohammadzadeh, A., Hartmann, S., & Ma, H. (2017) "A parallel hybrid GA-PSO approach with dynamic rule-based parameter setting". In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 215-216). ACM. doi:10.1145/3067695.3076051
Liang, Y., Zhang, M., & Browne, W. N. (2017) "Learning figure-ground image segmentors by genetic programming". In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 239-240). ACM. doi:10.1145/3067695.3075989
Phillips, T., Zhang, M., & Xue, B. (2017) "Genetic programming for solving common and domain-independent generic recursive problems". In 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings (pp. 1279-1286). doi:10.1109/CEC.2017.7969452
Nguyen, S., & Zhang, M. (2017) "A PSO-based hyper-heuristic for evolving dispatching rules in job shop scheduling". In 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings (pp. 882-889). doi:10.1109/CEC.2017.7969402
Nguyen, H. B., Xue, B., Andreae, P., & Zhang, M. (2017) "Particle Swarm Optimisation with genetic operators for feature selection". In 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings (pp. 286-293). doi:10.1109/CEC.2017.7969325
Boiko Ferreira, L. E., Barddal, J. P., Gomes, H. M., & Enembreck, F. (2017) "Improving credit risk prediction in online peer-To-peer (P2P) lending using imbalanced learning techniques". In Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI Vol. 2017-November (pp. 175-181). doi:10.1109/ICTAI.2017.00037
Bi, Y., Zhang, M., & Xue, B. (2017) "An automatic region detection and processing approach in genetic programming for binary image classification". In International Conference Image and Vision Computing New Zealand Vol. 2017-December (pp. 1-6). doi:10.1109/IVCNZ.2017.8402469
Xue, Y., Jiang, J., Xue, B., & Zhang, M. (2017) "A classification method based on self-adaptive artificial bee colony". In 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings Vol. 2018-January (pp. 1-8). doi:10.1109/SSCI.2017.8285232
Wang, C., Xue, B., & Shang, L. (2017) "PSO-based parameters selection for the bilateral filter in image denoising". In GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference (pp. 51-58). doi:10.1145/3071178.3071231
Tran, C. T., Zhang, M., Andreae, P., & Xue, B. (2017) "Multiple imputation and genetic programming for classification with incomplete data". In GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference (pp. 521-528). Online. doi:10.1145/3071178.3071181
Tran, C. T., Zhang, M., Andreae, P., & Xue, B. (2017) "Genetic programming based feature construction for classification with incomplete data". In GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference (pp. 1033-1040). doi:10.1145/3071178.3071183
Nekooei, S. M., Chen, G., & Rayudu, R. K. (2017) "Automatic design of fuzzy logic controllers for medium access control in wireless body area networks – An evolutionary approach". Applied Soft Computing, 56, 245-261. doi:10.1016/j.asoc.2017.02.022
Mikula, M., Gao, X., & Machova, K. (2017) "Adapting sentiment analysis system from English to Slovak". In 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings Vol. 2018-January (pp. 1-8). doi:10.1109/SSCI.2017.8285313
Lensen, A., Xue, B., & Zhang, M. (2017) "GPGC: Genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach". In GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference (pp. 449-456). doi:10.1145/3071178.3071222
Hancer, E., Xue, B., & Zhang, M. (2017) "A differential evolution based feature selection approach using an improved filter criterion". In 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings Vol. 2018-January (pp. 1-8). doi:10.1109/SSCI.2017.8285300
Ghifary, M., Balduzzi, D., Kleijn, W. B., & Zhang, M. (2017) "Scatter component analysis: A unified framework for domain adaptation and domain generalization". IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(7), 1414-1430. doi:10.1109/TPAMI.2016.2599532
Asafuddoula, M., Verma, B., & Zhang, M. (2017) "An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison". In Proceedings of the International Joint Conference on Neural Networks Vol. 2017-May (pp. 1924-1931). doi:10.1109/IJCNN.2017.7966086
Tran, B., Xue, B., & Zhang, M. (2017) "A New Representation in PSO for Discretization-Based Feature Selection". IEEE Transactions on Cybernetics, 14 pages. doi:10.1109/TCYB.2017.2714145
Xue, B., Zhu, H., & Shi, X. (2017) "Tribological performance of NiAl alloy containing graphene nanoplatelets under different velocities". Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 231(6), 799-809. doi:10.1177/1350650116680426
Liang, Y., Zhang, M., & Browne, W. N. (2017) "Image feature selection using genetic programming for figure-ground segmentation". Engineering Applications of Artificial Intelligence, 62, 96-108. doi:10.1016/j.engappai.2017.03.009
Iqbal, M., Browne, W. N., & Zhang, M. (2017) "Extending XCS with cyclic graphs for scalability on complex Boolean problems". Evolutionary Computation, 25(2), 173-204. doi:10.1162/EVCO_a_00167
Xue, B., & Zhang, M. (2017) "Evolutionary feature manipulation in data mining/big data". ACM SIGEVOlution, 10(1), 4-11. doi:10.1145/3089251.3089252
Barddal, J. P., Gomes, H. M., Enembreck, F., & Pfahringer, B. (2017) "A survey on feature drift adaptation: Definition, benchmark, challenges and future directions". Journal of Systems and Software, 127, 278-294. doi:10.1016/j.jss.2016.07.005
Xue, B., Lane, M. C., Liu, I., & Zhang, M. (2017) "Dimension reduction in classification using particle swarm optimisation and statistical variable grouping information". In 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. doi:10.1109/SSCI.2016.7850126
Lensen, A., Xue, B., & Zhang, M. (2017) "Particle swarm optimisation representations for simultaneous clustering and feature selection". In 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. doi:10.1109/SSCI.2016.7850124
Liang, Y., Zhang, M., & Browne, W. N. (2017) "Genetic programming for evolving figure-ground segmentors from multiple features". Applied Soft Computing, 51, 83-95. doi:10.1016/j.asoc.2016.07.055
Rahman, I. M. H., Hollitt, C., & Zhang, M. (2017) "A dynamic feature map integration approach for predicting human fixation". In International Conference Image and Vision Computing New Zealand Vol. 0 (pp. 6 pages). doi:10.1109/IVCNZ.2016.7804420
Zhang, Y., Mei, Y., Tang, K., & Jiang, K. (2017) "Memetic algorithm with route decomposing for periodic capacitated arc routing problem". Applied Soft Computing, 52, 1130-1142. doi:10.1016/j.asoc.2016.09.017
Zeng, S., Jiao, R., Li, C., Li, X., & Alkasassbeh, J. S. (2017) "A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization". IEEE Transactions on Cybernetics, 1-11. doi:10.1109/tcyb.2017.2647742
Xue, Y., Jiang, J., Xue, B., & Zhang, M. (2017) "A Classification Method based on Self-adaptive Artificial Bee Colony". In 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI) (pp. 1038-1045). Honolulu, HI: IEEE. Retrieved from http://gateway.webofknowledge.
Wang, Chen., Ma, Hui., Chen, G., & Hartmann, Sven. (2017) "GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition". In The 11th International Conference on Simulated Evolution and Learning.
Wang, C., Ma, H., Chen, A., & Hartmann, S. (2017) "Comprehensive quality-aware automated semantic web service composition". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10400 LNAI (pp. 195-207). doi:10.1007/978-3-319-63004-5_16
Tran, C. T., Zhang, M., Andreae, P., Xue, B., & Bui, L. T. (2017) "Multiple Imputation and Ensemble Learning for Classification with Incomplete Data". In G. Leu (Ed.), Proceedings in Adaptation, Learning and Optimization 8 (pp. 401-415). Canberra, Australia. doi:10.1007/978-3-319-49049-6_29
Tran, C. T., Zhang, M., Andreae, P., & Xue, B. (2017) "Bagging and Feature Selection for Classification with Incomplete Data". In G. Squillero, & K. Sim (Eds.), Unknown Conference (pp. 471-486). Springer International Publishing. doi:10.1007/978-3-319-55849-3_31
Tran, B., Xue, B., & Zhang, M. (2017) "Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data". In Proceedings of 20th European Conference on Genetic Programming (pp. 210-226). Amsterdam, Netherlands: Springer International Publishing.
Tran, B., Xue, B., & Zhang, M. (2017) "Class Dependent Multiple Feature Construction Using Genetic Programming for High-Dimensional Data". In Proceedings of the 30th Australasian Joint Conference on Artificial Intelligence (AI) Vol. 10400 (pp. 182-194). Melbourne, VIC, Australia: Springer International Publishing.
Tran, B., Picek, S., & Xue, B. (2017) "Automatic Feature Construction for Network Intrusion Detection". In Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL) Vol. 10593 (pp. 569-580). Shenzhen, China: Springer International Publishing.
Tan, B., Ma, H., & Mei, Y. (2017) "A NSGA-II-based approach for service resource allocation in Cloud". In Proceedings of the IEEE Congress on Evolutionary Computation (CEC) (pp. 2574-2581). IEEE. doi:10.1109/CEC.2017.7969618
Tan, B., Huang, H., Ma, H., & Zhang, M. (2017) "Binary PSO for web service location-allocation". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10142 LNAI (pp. 366-377). doi:10.1007/978-3-319-51691-2_31
Squillero, G., Sim, K., Ascheid, G., Bacardit, J., Brabazon, A., Burelli, P., . . . Zhang, M. (2017) "Preface (Vol". 10199 LNCS).
Shi, Y., Tan, K. C., Zhang, M., Tang, K., & Li, X. (2017) "Preface (Vol". 10593 LNCS).
Rahaman, M. S., Mei, Y., Hamilton, M., & Salim, F. D. (2017) "CAPRA: A contour-based accessible path routing algorithm". Information Sciences, 385, 157-173. doi:10.1016/j.ins.2016.12.041
Peng, Yiming., Chen, G., & Zhang, Mengjie. (2017) "A Sandpile Model for Reliable Actor-Critic Reinforcement Learning". In Proceedings of the International Joint Conference on Neural Networks (pp. 4014-4021). Anchorage, AK, USA: Institute of Electrical and Electronics Engineers Inc.. doi:10.1109/IJCNN.2017.7966362
Peng, Y., Chen, G., Zhang, M., & Mei, Y. (2017) "Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction". In Proceedings of the Asia-Pacific Conference on Simulated Evolution and Learning (SEAL) (pp. 473-485). Springer. doi:10.1007/978-3-319-68759-9_39
Peng, Y., Chen, G., Holdaway, S., Mei, Y., & Zhang, M. (2017) "Automated state feature learning for actor-critic reinforcement learning through NEAT". In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) (pp. 135-136). ACM. doi:10.1145/3067695.3076035
Park, J., Mei, Y., Nguyen, S., Chen, G., & Zhang, M. (2017) "Investigating the generality of genetic programming based hyper-heuristic approach to dynamic job shop scheduling with machine breakdown". In Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI) (pp. 301-313). Springer. doi:10.1007/978-3-319-51691-2_26
Omidvar, M. N., Yang, M., Mei, Y., Li, X., & Yao, X. (2017) "DG2: A faster and more accurate differential grouping for large-scale black-box optimization". IEEE Transactions on Evolutionary Computation, 21, 929-942. doi:10.1109/TEVC.2017.2694221
O’Neill, D., Xue, B., Al-Sahaf, H., & Zhang, M. (2017) "Common subtrees in related problems: A novel transfer learning approach for genetic programming". In Proceedings of 2017 IEEE Congress on Evolutionary Computation (CEC 2017) (pp. 1287-1294). IEEE. doi:10.1109/CEC.2017.7969453
Nguyen, S., Mei, Y., & Zhang, M. (2017) "Genetic programming for production scheduling: a survey with a unified framework". Complex and Intelligent Systems, 3, 41-66. doi:10.1007/s40747-017-0036-x
Nguyen, H. B., Xue, B., Ishibuchi, H., Andreae, P., & Zhang, M. (2017) "Multiple Reference Points MOEA/D for Feature Selection". In Proceedings of GECCO '17 Companion (pp. 157-158). Berlin, Germany: ACM. doi:10.1145/3067695.3075985
Nguyen, H. B., Xue, B., & Andreae, P. (2017) "Surrogate-model based particle swarm optimisation with local search for feature selection in classification". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10199 LNCS (pp. 487-505). Amsterdam, The Netherlands: Springer, Cham. doi:10.1007/978-3-319-55849-3_32
Nguyen, H. B., Xue, B., & Andreae, P. (2017) "A hybrid GA-GP method for feature reduction in classification". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10593 LNCS (pp. 591-604). doi:10.1007/978-3-319-68759-9_48
Nguyen, B. H., Xue, B., & Andreae, P. (2017) "A Novel Binary Particle Swarm Optimization Algorithm and Its Applications on Knapsack and Feature Selection Problems". In Unknown Conference (pp. 319-332). Springer International Publishing. doi:10.1007/978-3-319-49049-6_23
Nekooei, M.., Chen, G., & Rayudu, R.. (2017) "Cooperative Design of Two Level Fuzzy Logic Controllers for Medium Access Control in Wireless Body Area Networks". In The 11th International Conference on Simulated Evolution and Learning.
Mei, Y., Nguyen, S., & Zhang, M. (2017) "Evolving time-invariant dispatching rules in job shop scheduling with genetic programming". In Proceedings of the European Conference on Genetic Programming (EuroGP) (pp. 147-163). Springer. doi:10.1007/978-3-319-55696-3_10
Mei, Y., Nguyen, S., & Zhang, M. (2017) "Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling". In Proceedings of the Asia-Pacific Conference on Simulated Evolution and Learning (SEAL) (pp. 435-447). Springer. doi:10.1007/978-3-319-68759-9_36
Mei, Y., Nguyen, S., Xue, B., & Zhang, M. (2017) "An efficient feature selection algorithm for evolving job shop scheduling rules with genetic programming". IEEE Transactions on Emerging Topics in Computational Intelligence, 1, 339-353. doi:10.1109/TETCI.2017.2743758
Masood, A., Mei, Y., Chen, G., & Zhang, M. (2017) "A PSO-based reference point adaption method for genetic programming hyper-heuristic in many-objective job shop scheduling". In Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI) (pp. 326-338). Springer. doi:10.1007/978-3-319-51691-2_28
Liu, Y., Xue, B., & Browne, W. N. (2017) "Visualisation and optimisation of learning classifier systems for multiple domain learning". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10593 LNCS (pp. 448-461). doi:10.1007/978-3-319-68759-9_37
Liu, Y., Mei, Y., Zhang, M., & Zhang, Z. (2017) "Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem". In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) (pp. 290-297). ACM. doi:10.1145/3071178.3071185
Liang, Y., Zhang, M., & Browne, W. N. (2017) "Wrapper feature construction for figure-ground image segmentation using genetic programming". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10142 LNAI (pp. 111-123). doi:10.1007/978-3-319-51691-2_10
Lensen, A., Xue, B., & Zhang, M. (2017) "Using particle swarm optimisation and the silhouette metric to estimate the number of clusters, select features, and perform clustering". In Unknown Book (Vol. 10199 LNCS, pp. 538-554). doi:10.1007/978-3-319-55849-3_35
Lensen, A., Xue, B., & Zhang, M. (2017) "New representations in genetic programming for feature construction in k-means clustering". In Unknown Book (Vol. 10593 LNCS, pp. 543-555). doi:10.1007/978-3-319-68759-9_44
Lensen, A., Xue, B., & Zhang, M. (2017) "Improving K-means Clustering with Genetic Programming for Feature Construction". In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 237-238). ACM. doi:10.1145/3067695.3075962
Kumar, S., Gao, X., & Welch, I. (2017) "Cluster-than-label: Semi-supervised approach for domain adaptation". In 2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA) (pp. 704-711). IEEE.
Karunakaran, D., Mei, Y., Chen, G., & Zhang, M. (2017) "Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty". In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) (pp. 282-289). ACM. doi:10.1145/3071178.3071202
Karunakaran, D., Mei, Y., Chen, G., & Zhang, M. (2017) "Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times". In Proceedings of the IEEE Congress on Evolutionary Computation (CEC) (pp. 364-371). IEEE. doi:10.1109/CEC.2017.7969335
Karunakaran, D., Mei, Y., Chen, G., & Zhang, M. (2017) "Dynamic job shop scheduling under uncertainty using genetic programming". Springer. doi:10.1007/978-3-319-49049-6_14
Jacobsen-Grocott, J., Mei, Y., Chen, G., & Zhang, M. (2017) "Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming". In Proceedings of the IEEE Congress on Evolutionary Computation (CEC) (pp. 1948-1955). IEEE. doi:10.1109/CEC.2017.7969539
Islam, M. J., Li, X., & Mei, Y. (2017) "A time-varying transfer function for balancing the exploration and exploitation ability of a binary PSO". Applied Soft Computing, 59, 182-196. doi:10.1016/j.asoc.2017.04.050
Iqbal, M., Xue, B., Al-Sahaf, H., & Zhang, M. (2017) "Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification". IEEE Transactions on Evolutionary Computation, 21, 569-587. doi:10.1109/TEVC.2017.2657556
Huo, J., Xue, B., Shang, L., & Zhang, M. (2017) "Genetic programming for multi-objective test data generation in search based software testing". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10400 LNAI (pp. 169-181). doi:10.1007/978-3-319-63004-5_14
Huang, Guiying., Fu, Qiang., Chen, G., Wen, Elliott., & Hart, Jonnathan. (2017) "A Bindingless Architecture for Distributed SDN Controllers". In The 42nd IEEE Conference on Local Computer Networks.
Hardwick-Smith, W., Peng, Y., Chen, G., Mei, Y., & Zhang, M. (2017) "Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching". In Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI) (pp. 39-51). Springer. doi:10.1007/978-3-319-63004-5_4
Fu, W., Xue, B., Zhang, M., & Gao, X. (2017) "Transductive transfer learning in genetic programming for document classification". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10593 LNCS (pp. 556-568). Shenzhen, China. doi:10.1007/978-3-319-68759-9_45
da Silva, A. S., Moshi, E., Ma, H., & Hartmann, S. (2017) "A QoS-aware web service composition approach based on genetic programming and graph databases". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10439 LNCS (pp. 37-44). doi:10.1007/978-3-319-64471-4_4
da Silva, A. S., Mei, Y., Ma, H., & Zhang, M. (2017) "Fragment-based genetic programming for fully automated multi-objective web service composition". In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) (pp. 353-360). ACM. doi:10.1145/3071178.3071199
Da Silva, A. S., Ma, H., Zhang, M., & Hartmann, S. (2017) "Handling branched web service composition with a QoS-aware graph-based method". In D. Bridge, & H. Stuckenschmidt (Eds.), E-Commerce and Web Technologies 17th International Conference, EC-Web 2016 (pp. 154-169). Porto, Portugal: Springer. doi:10.1007/978-3-319-53676-7_12
Chen, Q., Zhang, M., & Xue, B. (2017) "New Geometric Semantic Operators in Genetic Programming: Perpendicular Crossover and Random Segment Mutation". In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 223-224). ACM. doi:10.1145/3067695.3076008
Chen, Q., Zhang, M., & Xue, B. (2017) "New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation". In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 223-224). Berlin, Germany.
Chen, Q., Zhang, M., & Xue, B. (2017) "Geometric semantic genetic programming with perpendicular crossover and random segment mutation for symbolic regression". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10593 LNCS (pp. 422-434). doi:10.1007/978-3-319-68759-9_35
Chen, Q., Zhang, M., & Xue, B. (2017) "Genetic Programming with Embedded Feature Construction for High-Dimensional Symbolic Regression". In Unknown Conference (pp. 87-102). Springer International Publishing. doi:10.1007/978-3-319-49049-6_7
Chen, Q., Xue, B., Mei, Y., & Zhang, M. (2017) "Geometric semantic crossover with an angle-aware mating scheme in genetic programming for symbolic regression". In Proceedings of the European Conference on Genetic Programming (EuroGP) (pp. 229-245). Springer. doi:10.1007/978-3-319-55696-3_15
Al-Sahaf, H., Zhang, M., Al-Sahaf, A., & Johnston, M. (2017) "Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-invariant Texture Image Descriptors". IEEE Transactions on Evolutionary Computation, 21, 825-844. doi:10.1109/TEVC.2017.2685639
Al-Sahaf, H., Xue, B., & Zhang, M. (2017) "Evolving Texture Image Descriptors Using A Multitree Genetic Programming Representation". In Proceedings of the 2017 Genetic and Evolutionary Computation Conference (GECCO 2017) (pp. 219-220). ACM. doi:10.1145/3067695.3076039
Al-Sahaf, H., Xue, B., & Zhang, M. (2017) "A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors". In Unknown Conference Vol. 10593 (pp. 499-511). Springer. doi:10.1007/978-3-319-68759-9_41
Al-Sahaf, H., Al-Sahaf, A., Xue, B., Johnston, M., & Zhang, M. (2017) "Automatically Evolving Rotation-invariant Texture Image Descriptors by Genetic Programming". IEEE Transactions on Evolutionary Computation, 21, 83-101. doi:10.1109/TEVC.2016.2577548
Al-Sahaf, H. (2017) "Genetic Programming for Automatically Synthesising Robust Image Descriptors with A Small Number of Instances". (PhD Thesis).
Ain, Q. U., Xue, B., Al-Sahaf, H., & Zhang, M. (2017) "Genetic programming for skin cancer detection in dermoscopic images". In Proceedings of 2017 IEEE Congress on Evolutionary Computation (CEC 2017) (pp. 2420-2427). IEEE. doi:10.1109/CEC.2017.7969598
Afzali, S., Xue, B., Al-Sahaf, H., & Zhang, M. (2017) "A Supervised Feature Weighting Method for Salient Object Detection using Particle Swarm Optimization". In 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI) (pp. 3191-3198). Retrieved from https://www.webofscience.
Afzali, S., Xue, B., Al-Sahaf, H., Hollitt, C., & Zhang, M. (2017) "A Supervised Feature Weighting Method for Salient Object Detection using PSO". In Proceedings of 2017 IEEE Symposium Series on Computational Intelligence (SSCI 2017) (pp. 1-8). IEEE. doi:10.1109/SSCI.2017.8280948
Mirghasemi, S., Andreae, P., Zhang, M., & Rayudu, R. (2017) "Severely noisy image segmentation via wavelet shrinkage using PSO and Fuzzy C-Means". In 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016 (pp. 1663-1670). Athens, Greece. doi:10.1109/SSCI.2016.7850051
Huang, V., Fu, Q., Chen, G., Wen, E., & Hart, J. (2017) "BLAC: A Bindingless Architecture for Distributed SDN Controllers". In 2017 IEEE 42nd Conference on Local Computer Networks (LCN) (pp. 146-154). Singapore. doi:10.1109/LCN.2017.62

Print version | Backlinks |