Publications 2020 - Groups/ECRG | Te Kura Mātai Pūkaha, Pūrorohiko / School of Engineering and Computer Science | Te Herenga Waka

Bi, Y., Xue, B., & Zhang, M. (2020) "Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning". __. doi:10.48550/arxiv.2012.09444
Bernardo, A., Gomes, H. M., Montiel, J., Pfahringer, B., Bifet, A., & Valle, E. D. (2020) "C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams". In Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020 (pp. 483-492). doi:10.1109/BigData50022.2020.9377768
Montiel, J., Halford, M., Mastelini, S. M., Bolmier, G., Sourty, R., Vaysse, R., . . . Bifet, A. (2020) "River: machine learning for streaming data in Python". __. doi:10.48550/arxiv.2012.04740
Londt, T., Gao, X., Xue, B., & Andreae, P. (2020) "Evolving Character-level Convolutional Neural Networks for Text Classification". Retrieved from http://arxiv.org/abs/2012.
Londt, T., Gao, X., Xue, B., & Andreae, P. (2020) "Evolving Character-level Convolutional Neural Networks for Text Classification". __. doi:10.48550/arxiv.2012.02223
Londt, T., Gao, X., & Andreae, P. (2020) "Evolving Character-Level DenseNet Architectures using Genetic Programming". __. doi:10.48550/arxiv.2012.02327
Zhao, W., Sun, Y., & Xue, B. (2020) "Improved Binary Particle Swarm optimization with Evolutionary Population Dynamic for Key Oncogene Selection". In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 897-904). doi:10.1109/SSCI47803.2020.9308540
Wang, S., Mei, Y., & Zhang, M. (2020) "Towards Interpretable Routing Policy: A Two Stage Multi-Objective Genetic Programming Approach with Feature Selection for Uncertain Capacitated Arc Routing Problem". In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 2399-2406). doi:10.1109/SSCI47803.2020.9308588
Viswambaran, R. A., Chen, G., Xue, B., & Nekooei, M. (2020) "Evolutionary Design of Long Short Term Memory (LSTM) Ensemble". In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 2692-2698). doi:10.1109/SSCI47803.2020.9308393
Sadeghiram, S., Ma, H., & Chen, G. (2020) "A User-Preference Driven Lexicographic Approach for Multi-Objective Distributed Web Service Composition". In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 791-797). doi:10.1109/SSCI47803.2020.9308222
Pei, W., Xue, B., Shang, L., & Zhang, M. (2020) "Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism". Soft Computing, 24(23), 18021-18038. doi:10.1007/s00500-020-05056-7
McGhie, A., Xue, B., & Zhang, M. (2020) "GPCNN: Evolving Convolutional Neural Networks using Genetic Programming". In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 2684-2691). doi:10.1109/SSCI47803.2020.9308390
Madukwe, K. J., Gao, X., & Xue, B. (2020) "Dependency-based embedding for distinguishing between hate speech and offensive language". In Proceedings - 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2020 (pp. 860-868). doi:10.1109/WIIAT50758.2020.00132
Madukwe, K. J., Gao, X., & Xue, B. (2020) "A GA-Based Approach to Fine-Tuning BERT for Hate Speech Detection". In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 2821-2828). doi:10.1109/SSCI47803.2020.9308419
Ma, J., & Gao, X. (2020) "Designing genetic programming classifiers with feature selection and feature construction". Applied Soft Computing Journal, 97. doi:10.1016/j.asoc.2020.106826
Escott, K. R., Ma, H., & Chen, G. (2020) "A Genetic Programming Hyper-Heuristic Approach to Design High-Level Heuristics for Dynamic Workflow Scheduling in Cloud". In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 3141-3148). doi:10.1109/SSCI47803.2020.9308261
Costa, J. G. C., Mei, Y., & Zhang, M. (2020) "Adaptive Search Space through Evolutionary Hyper-Heuristics for the Large-Scale Vehicle Routing Problem". In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 2415-2422). doi:10.1109/SSCI47803.2020.9308239
Cassales, G., Gomes, H., Bifet, A., Pfahringer, B., & Senger, H. (2020) "Improving parallel performance of ensemble learners for streaming data through data locality with mini-batching". In Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020 (pp. 138-146). doi:10.1109/HPCC-SmartCity-DSS50907.2020.00018
Cagnoni, S., Al-Sahaf, H., Sun, Y., Xue, B., & Zhang, M. (2020) "Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition". Applied Soft Computing, 97, 106675. doi:10.1016/j.asoc.2020.106675
Ardeh, M. A., Mei, Y., & Zhangz, M. (2020) "Diversity-driven Knowledge Transfer for GPHH to Solve Uncertain Capacitated Arc Routing Problem". In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 2407-2414). doi:10.1109/SSCI47803.2020.9308501
Ardeh, M. A., Mei, Y., & Zhang, M. (2020) "A GPHH with Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc Routing Problem". In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 2786-2793). doi:10.1109/SSCI47803.2020.9308398
Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2020) "GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data". In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 905-912). doi:10.1109/SSCI47803.2020.9308382
Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2020) "Data Imputation for Symbolic Regression with Missing Values: A Comparative Study". In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 2093-2100). doi:10.1109/SSCI47803.2020.9308216
Albuquerque, I. M. R., Nguyen, B. H., Xue, B., & Zhang, M. (2020) "A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection". In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 616-623). doi:10.1109/SSCI47803.2020.9308307
Abdollahi, M., Gao, X., Mei, Y., Ghosh, S., & Li, J. (2020) "A dictionary-based oversampling approach to clinical document classification on small and imbalanced dataset". In Proceedings - 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2020 (pp. 357-364). doi:10.1109/WIIAT50758.2020.00051
Yuan, G., Xue, B., & Zhang, M. (2020) "A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification". In International Conference Image and Vision Computing New Zealand Vol. 2020-November. doi:10.1109/IVCNZ51579.2020.9290492
Ceschin, F., Botacin, M., Lüders, G., Gomes, H. M., Oliveira, L., & Gregio, A. (2020) "No Need to Teach New Tricks to Old Malware: Winning an Evasion Challenge with XOR-based Adversarial Samples". In ACM International Conference Proceeding Series (pp. 13-22). doi:10.1145/3433667.3433669
Shi, T., Ma, H., & Chen, G. (2020) "Seeding-based multi-objective evolutionary algorithms for multi-cloud composite applications deployment". In Proceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020 (pp. 240-247). doi:10.1109/SCC49832.2020.00039
Sadeghiram, S., Ma, H., & Chen, G. (2020) "A distance-based genetic algorithm for robust data-intensive web service composition in dynamic bandwidth environment". In Proceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020 (pp. 248-255). doi:10.1109/SCC49832.2020.00040
Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2020) "Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling". In Victoria University of Wellington Library. doi:10.26686/wgtn.13158314
Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2020) "Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling". In Victoria University of Wellington Library. doi:10.26686/wgtn.13158317
Nguyen, S., Mei, Y., Xue, B., & Zhang, M. (2020) "A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules". In Victoria University of Wellington Library. doi:10.26686/wgtn.13158296
Ceschin, F., Botacin, M., Bifet, A., Pfahringer, B., Oliveira, L. S., Gomes, H. M., & Grégio, A. (2020) "Machine Learning (In) Security: A Stream of Problems". __. doi:10.48550/arxiv.2010.16045
Nguyen, S., Mei, Y., & Zhang, M. (2020) "Genetic programming for production scheduling: a survey with a unified framework". In Victoria University of Wellington Library. doi:10.26686/wgtn.13152413
Iqbal, M., Xue, B., Al-Sahaf, H., & Zhang, M. (2020) "Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification". In Victoria University of Wellington Library. doi:10.26686/wgtn.13152290
Nguyen, S., Zhang, M., Johnston, M., & Tan, K. C. (2020) "Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming". In Victoria University of Wellington Library. doi:10.26686/wgtn.13150949
Nguyen, S., Zhang, M., Johnston, M., & Tan, K. C. (2020) "A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem". In Victoria University of Wellington Library. doi:10.26686/wgtn.13146524
Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2020) "Evolving Scheduling Heuristics via Genetic Programming with Feature Selection in Dynamic Flexible Job Shop Scheduling". __. doi:10.1109/TCYB.2020.3024849
Manapragada, C., Gomes, H. M., Salehi, M., Bifet, A., & Webb, G. I. (2020) "An Eager Splitting Strategy for Online Decision Trees". __. doi:10.48550/arxiv.2010.10935
Mostofi, A., JAIN, V., & MEI, Y. I. (2020) "A Model for Pricing the License of Brand-Name Drugs Using Cooperative Game Theory". In Victoria University of Wellington Library. doi:10.26686/wgtn.13096184
Fletcher, S., Verma, B., & Zhang, M. (2020) "A non-specialized ensemble classifier using multi-objective optimization". Neurocomputing, 409, 93-102. doi:10.1016/j.neucom.2020.05.029
Shi, T., Ma, H., Chen, G., & Hartmann, S. (2020) "Location-Aware and Budget-Constrained Application Replication and Deployment in Multi-Cloud Environment". In Proceedings - 2020 IEEE 13th International Conference on Web Services, ICWS 2020 (pp. 110-117). doi:10.1109/ICWS49710.2020.00022
Lin, J., Liu, H. L., Xue, B., Zhang, M., & Gu, F. (2020) "Multiobjective Multitasking Optimization Based on Incremental Learning". IEEE Transactions on Evolutionary Computation, 24(5), 824-838. doi:10.1109/TEVC.2019.2962747
Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2020) "Evolving Scheduling Heuristics via Genetic Programming with Feature Selection in Dynamic Flexible Job Shop Scheduling". In Victoria University of Wellington Library. doi:10.26686/wgtn.12986303
Xue, B., Yang, Z., Shi, X., Zhou, H., Lu, G., Xue, Y., . . . Wu, C. (2020) "Study on the Lubrication Mechanism of Titanium Alloys with Surface Dimples Filled with Sn-Ag-Cu and TiC under Dry Sliding Friction". Journal of Materials Engineering and Performance, 29(9), 5776-5786. doi:10.1007/s11665-020-05092-2
Sun, Y., Xue, B., Zhang, M., Yen, G. G., & Lv, J. (2020) "Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification". IEEE Transactions on Cybernetics, 50(9), 3840-3854. doi:10.1109/TCYB.2020.2983860
Lensen, A., Zhang, M., & Xue, B. (2020) "Multi-objective genetic programming for manifold learning: balancing quality and dimensionality". Genetic Programming and Evolvable Machines, 21(3), 399-431. doi:10.1007/s10710-020-09375-4
Grzenda, M., Gomes, H. M., & Bifet, A. (2020) "Delayed labelling evaluation for data streams". Data Mining and Knowledge Discovery, 34(5), 1237-1266. doi:10.1007/s10618-019-00654-y
Chen, B., Xu, Z., Liu, Y., Xue, B., & Ma, W. (2020) "Tribological Performance and Tribofilm Evolution of TiAl Matrix Composites with Silver and Titanium Diboride at Elevated Temperatures". Journal of Materials Engineering and Performance, 29(9), 5655-5662. doi:10.1007/s11665-020-04936-1
Lu, M., Wu, W., You, L., See, L., Fritz, S., Yu, Q., . . . Xue, B. (2020) "A cultivated planet in 2010 - Part 1: The global synergy cropland map". Earth System Science Data, 12(3), 1913-1928. doi:10.5194/essd-12-1913-2020
Liu, Y., Sun, Y., Xue, B., Zhang, M., Yen, G. G., & Tan, K. C. (2020) "A Survey on Evolutionary Neural Architecture Search". __. doi:10.48550/arxiv.2008.10937
Liu, Y., Sun, Y., Xue, B., & Zhang, M. (2020) "Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising". __. doi:10.48550/arxiv.2008.06634
Shi, T., Ma, H., Chen, G., & Hartmann, S. (2020) "Location-Aware and Budget-Constrained Service Deployment for Composite Applications in Multi-Cloud Environment". IEEE Transactions on Parallel and Distributed Systems, 31(8), 1954-1969. doi:10.1109/TPDS.2020.2981306
Machová, K., Mikula, M., Gao, X., & Mach, M. (2020) "Lexicon-based sentiment analysis using particle swarm optimization". Electronics (Switzerland), 9(8), 1-22. doi:10.3390/electronics9081317
Jabeen, S., Gao, X., & Andreae, P. (2020) "Semantic association computation: a comprehensive survey". Artificial Intelligence Review, 53(6), 3849-3899. doi:10.1007/s10462-019-09781-w
Hancer, E., Xue, B., & Zhang, M. (2020) "A survey on feature selection approaches for clustering". Artificial Intelligence Review, 53(6), 4519-4545. doi:10.1007/s10462-019-09800-w
Da Silva, A. S., Ma, H., Mei, Y., & Zhang, M. (2020) "A Survey of evolutionary computation for web service composition: A technical perspective". IEEE Transactions on Emerging Topics in Computational Intelligence, 4(4), 538-554. doi:10.1109/TETCI.2020.2969213
Zhang, M., & Cagnoni, S. (2020) "Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition". In GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (pp. 1343-1372). doi:10.1145/3377929.3389856
Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2020) "A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming". In GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (pp. 107-108). doi:10.1145/3377929.3389934
Xue, B., & Zhang, M. (2020) "Evolutionary computation for feature selection and feature construction". In GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (pp. 1283-1312). doi:10.1145/3377929.3389857
Shi, T., Ma, H., & Chen, G. (2020) "Divide and conquer: Seeding strategies for multi-objective multi-cloud composite applications deployment". In GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (pp. 317-318). doi:10.1145/3377929.3389927
Sadeghiram, S., Ma, H., & Chen, G. (2020) "QoS-constrained multi-objective distributed data-intensive web service composition - NSGA-II with repair method". In GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (pp. 105-106). doi:10.1145/3377929.3389977
Pei, W., Xue, B., Shang, L., & Zhang, M. (2020) "A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification". In GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (pp. 149-150). doi:10.1145/3377929.3389955
Bi, Y., Xue, B., & Zhang, M. (2020) "Automatically extracting features for face classification using multi-objective genetic programming". In GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (pp. 117-118). doi:10.1145/3377929.3389989
Andersen, H., Gao, X., Xue, B., & Zhang, M. (2020) "Evolving network structures for text classification using genetic algorithms". In GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (pp. 109-110). doi:10.1145/3377929.3390068
Ain, Q. U., Xue, B., Al-Sahaf, H., & Zhang, M. (2020) "Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection". In Victoria University of Wellington Library. doi:10.26686/wgtn.12616751.v1
Wang, B., Xue, B., & Zhang, M. (2020) "Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification". __. doi:10.48550/arxiv.2007.01556
Wang, S., Mei, Y., & Zhang, M. (2020) "A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems". In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. doi:10.1109/CEC48606.2020.9185890
Wang, B., Xue, B., & Zhang, M. (2020) "Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks". In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. doi:10.1109/CEC48606.2020.9185541
Viswambaran, R. A., Chen, G., Xue, B., & Nekooei, M. (2020) "Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm". In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. doi:10.1109/CEC48606.2020.9185851
Schofield, F., & Lensen, A. (2020) "Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming". In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. doi:10.1109/CEC48606.2020.9185575
Peng, Y., Chen, G., & Zhang, M. (2020) "Effective Linear Policy Gradient Search through Primal-Dual Approximation". In Proceedings of the International Joint Conference on Neural Networks. doi:10.1109/IJCNN48605.2020.9206831
Pei, W., Xue, B., Shang, L., & Zhang, M. (2020) "A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification". In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. doi:10.1109/CEC48606.2020.9185503
Liu, Y., Sun, Y., Xue, B., & Zhang, M. (2020) "Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising". In Proceedings of the International Joint Conference on Neural Networks. doi:10.1109/IJCNN48605.2020.9207509
Jackson, J., & Mei, Y. (2020) "Genetic Programming Hyper-heuristic with Cluster Awareness for Stochastic Team Orienteering Problem with Time Windows". In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. doi:10.1109/CEC48606.2020.9185911
Grzenda, M., Gomes, H. M., & Bifet, A. (2020) "Performance measures for evolving predictions under delayed labelling classification". In Proceedings of the International Joint Conference on Neural Networks. doi:10.1109/IJCNN48605.2020.9207256
Gomes, H. M., Montiel, J., Mastelini, S. M., Pfahringer, B., & Bifet, A. (2020) "On Ensemble Techniques for Data Stream Regression". In Proceedings of the International Joint Conference on Neural Networks. doi:10.1109/IJCNN48605.2020.9206756
Gao, G., Mei, Y., Xin, B., Jia, Y. H., & Browne, W. (2020) "A Memetic Algorithm for the Task Allocation Problem on Multi-robot Multi-point Dynamic Aggregation Missions". In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. doi:10.1109/CEC48606.2020.9185647
Fan, Q., Xue, B., & Zhang, M. (2020) "A Region Adaptive Image Classification Approach Using Genetic Programming". In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. doi:10.1109/CEC48606.2020.9185908
Evans, B., Xue, B., & Zhang, M. (2020) "An Adaptive and near Parameter-free Evolutionary Computation Approach towards True Automation in AutoML". In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. doi:10.1109/CEC48606.2020.9185770
Demir, K., Nguyen, B. H., Xue, B., & Zhang, M. (2020) "A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection". In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. doi:10.1109/CEC48606.2020.9185590
Costa, J. G. C., Mei, Y., & Zhang, M. (2020) "Cluster-based Hyper-Heuristic for Large-Scale Vehicle Routing Problem". In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. doi:10.1109/CEC48606.2020.9185831
Chen, K., Xue, B., Zhang, M., & Zhou, F. (2020) "Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification". In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. doi:10.1109/CEC48606.2020.9185533
Bi, Y., Xue, B., & Zhang, M. (2020) "Genetic Programming-Based Feature Learning for Facial Expression Classification". In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. doi:10.1109/CEC48606.2020.9185491
Bahri, M., Gomes, H. M., Bifet, A., & Maniu, S. (2020) "CS-ARF: Compressed Adaptive Random Forests for Evolving Data Stream Classification". In Proceedings of the International Joint Conference on Neural Networks. doi:10.1109/IJCNN48605.2020.9207188
Ardeh, M. A., Mei, Y., & Zhang, M. (2020) "Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems". In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. doi:10.1109/CEC48606.2020.9185714
Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2020) "Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data". In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. doi:10.1109/CEC48606.2020.9185670
Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2020) "Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data". In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. doi:10.1109/CEC48606.2020.9185526
Adnan, M., Gao, X., Bai, X., Newbern, E., Sherwood, J., Jones, N., . . . Gao, W. (2020) "Potential early identification of a large campylobacter outbreak using alternative surveillance data sources: Autoregressive modelling and spatiotemporal clustering". JMIR Public Health and Surveillance, 6(3). doi:10.2196/18281
Xu, B., Mei, Y., Wang, Y., Ji, Z., & Zhang, M. (2020) "Genetic Programming with Delayed Routing for Multi-Objective Dynamic Flexible Job Shop Scheduling". In Victoria University of Wellington Library. doi:10.26686/wgtn.12585197
Xu, H., Xue, B., & Zhang, M. (2020) "Segmented initialization and offspring modification in evolutionary algorithms for bi-objective feature selection". In GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 444-452). doi:10.1145/3377930.3390192
Raymond, C., Chen, Q., Xue, B., & Zhang, M. (2020) "Adaptive weighted splines: A new representation to genetic programming for symbolic regression". In GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 1003-1011). doi:10.1145/3377930.3390244
O'Neill, D., Xue, B., & Zhang, M. (2020) "Neural architecture search for sparse DenseNets with dynamic compression". In GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 386-394). doi:10.1145/3377930.3390178
Nguyen, T. B., Browne, W. N., & Zhang, M. (2020) "Relatedness measures to aid the transfer of building blocks among multiple tasks". GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 377-385. doi:10.1145/3377930.3390169
Liu, Y., Browne, W. N., & Xue, B. (2020) "Absumption and subsumption based learning classifier systems". In GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 368-376). doi:10.1145/3377930.3389813
Jia, Y. H., Mei, Y., & Zhang, M. (2020) "A memetic level-based learning swarm optimizer for large-scale water distribution network optimization". In GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 1107-1115). doi:10.1145/3377930.3389828
Evans, B. P., Xue, B., & Zhang, M. (2020) "Improving generalisation of AutoML systems with dynamic fitness evaluations". In GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 324-332). doi:10.1145/3377930.3389805
Chen, Q., Xue, B., & Zhang, M. (2020) "Improving symbolic regression based on correlation between residuals and variables". In GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 922-930). doi:10.1145/3377930.3390161
Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2020) "Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data". In GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 913-921). doi:10.1145/3377930.3390160
Al-Sahaf, H., Bi, Y., Chen, Q., Lensen, A., Mei, Y., Sun, Y., . . . Zhang, M. (2020) "A Survey on Evolutionary Machine Learning". __. doi:10.26686/wgtn.12493928
Alvarez, I. M., Nguyen, T. B., Browne, W. N., & Zhang, M. (2020) "A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems". Retrieved from http://arxiv.org/abs/2006.
Alvarez, I. M., Nguyen, T. B., Browne, W. N., & Zhang, M. (2020) "A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems". __. doi:10.48550/arxiv.2006.01415
Nekooei, S. M., & Chen, G. (2020) "Cooperative Coevolution Design of Multilevel Fuzzy Logic Controllers for Media Access Control in Wireless Body Area Networks". IEEE Transactions on Emerging Topics in Computational Intelligence, 4(3), 336-350. doi:10.1109/TETCI.2018.2877787
Li, A. D., Xue, B., & Zhang, M. (2020) "Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection". Information Sciences, 523, 245-265. doi:10.1016/j.ins.2020.03.032
Huang, V., Chen, G., Zhang, P., Li, H., Hu, C., Pan, T., & Fu, Q. (2020) "A Scalable Approach to SDN Control Plane Management: High Utilization Comes with Low Latency". IEEE Transactions on Network and Service Management, 17(2), 682-695. doi:10.1109/TNSM.2020.2973222
He, Y., Schnabel, M. A., & Mei, Y. (2020) "A novel methodology for architectural wind environment study by integrating CFD simulation, multiple parametric tools and evaluation criteria". Building Simulation, 13(3), 609-625. doi:10.1007/s12273-019-0591-8
De Lorenzo, A., Bartoli, A., Castelli, M., Medvet, E., & Xue, B. (2020) "Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence". Genetic Programming and Evolvable Machines, 21(1-2), 181-204. doi:10.1007/s10710-019-09363-3
Ma, J., & Gao, X. (2020) "A filter-based feature construction and feature selection approach for classification using Genetic Programming". Knowledge-Based Systems, 196. doi:10.1016/j.knosys.2020.105806
Nguyen, T. B., Browne, W. N., & Zhang, M. (2020) "Relatedness Measures to Aid the Transfer of Building Blocks among Multiple Tasks". __. doi:10.48550/arxiv.2005.03947
Chen, G. (2020) "Merging Deterministic Policy Gradient Estimations with Varied Bias-Variance Tradeoff for Effective Deep Reinforcement Learning". Retrieved from https://arxiv.org/abs/1911.
Tan, B., Ma, H., & Mei, Y. (2020) "A NSGA-II-based Approach for Multi-objective Micro-service Allocation in Container-based Clouds". In Proceedings - 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGRID 2020 (pp. 282-289). doi:10.1109/CCGrid49817.2020.00-65
Nguyen, B. H., Xue, B., & Zhang, M. (2020) "A survey on swarm intelligence approaches to feature selection in data mining". Swarm and Evolutionary Computation, 54. doi:10.1016/j.swevo.2020.100663
Huang, Z., Zhong, J., Feng, L., Mei, Y., & Cai, W. (2020) "A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression". Soft Computing, 24(10), 7523-7539. doi:10.1007/s00500-019-04379-4
Bi, Y., Xue, B., & Zhang, M. (2020) "An effective feature learning approach using genetic programming with image descriptors for image classification". IEEE Computational Intelligence Magazine, 15(2), 65-77. doi:10.1109/MCI.2020.2976186
Nguyen, T. B., Browne, W. N., & Zhang, M. (2020) "Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions". Retrieved from http://arxiv.org/abs/2004.
Nguyen, T. B., Browne, W. N., & Zhang, M. (2020) "Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions". __. doi:10.48550/arxiv.2004.10978
Chen, K., Xue, B., Zhang, M., & Zhou, F. (2020) "Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks". Knowledge-Based Systems, 194. doi:10.1016/j.knosys.2020.105568
Sun, Y., Xue, B., Zhang, M., & Yen, G. G. (2020) "Completely Automated CNN Architecture Design Based on Blocks". IEEE Transactions on Neural Networks and Learning Systems, 31(4), 1242-1254. doi:10.1109/TNNLS.2019.2919608
Sun, Y., Wang, H., Xue, B., Jin, Y., Yen, G. G., & Zhang, M. (2020) "Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor". IEEE Transactions on Evolutionary Computation, 24(2), 350-364. doi:10.1109/TEVC.2019.2924461
Sun, Y., Ren, Z., Yen, G. G., Xue, B., Zhang, M., & Lv, J. (2020) "ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures". __. doi:10.48550/arxiv.2002.10233
Adnan, M., Gao, X., Bai, X., Newbern, E., Sherwood, J., Jones, N., . . . Gao, W. (2020) "Potential Early Identification of a Large Campylobacter Outbreak Using Alternative Surveillance Data Sources: Autoregressive Modelling and Spatiotemporal Clustering (Preprint)". __. doi:10.2196/preprints.18281
Lu, M., Wu, W., You, L., See, L., Fritz, S., Yu, Q., . . . Xue, B. (2020) "A cultivated planet in 2010: 1". the global synergy cropland map. doi:10.5194/essd-2020-12
Zhang, M., & Tan, K. C. (2020) "Conference Report on 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019) [Conference Reports]". IEEE Computational Intelligence Magazine, 15(1), 4-5. doi:10.1109/MCI.2019.2937595
Nguyen, B. H., Xue, B., Andreae, P., Ishibuchi, H., & Zhang, M. (2020) "Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms". IEEE Transactions on Evolutionary Computation, 24(1), 170-184. doi:10.1109/TEVC.2019.2913831
Evans, B. P., Xue, B., & Zhang, M. (2020) "An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML". __. doi:10.48550/arxiv.2001.10178
Lensen, A., Xue, B., & Zhang, M. (2020) "Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation". __. doi:10.48550/arxiv.2001.09578
Evans, B. P., Xue, B., & Zhang, M. (2020) "Improving generalisation of AutoML systems with dynamic fitness evaluations". __. doi:10.48550/arxiv.2001.08842
Lensen, A., Zhang, M., & Xue, B. (2020) "Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality". __. doi:10.48550/arxiv.2001.01331
Zhang, Q., Cao, M., Zhang, F., Liu, J., & Li, X. (2020) "Effects of corporate social responsibility on customer satisfaction and organizational attractiveness: A signaling perspective". Business Ethics, 29(1), 20-34. doi:10.1111/beer.12243
Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2020) "Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12101 LNCS (pp. 262-278). doi:10.1007/978-3-030-44094-7_17
Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2020) "Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12102 LNCS (pp. 214-230). doi:10.1007/978-3-030-43680-3_14
Xu, B., Mei, Y., Wang, Y., Ji, Z., & Zhang, M. (2020) "Genetic programming with delayed routing formultiobjective dynamic flexible job shop scheduling". Evolutionary Computation, 29(1), 75-105. doi:10.1162/evco_a_00273
Wang, B., Xue, B., & Zhang, M. (2020) "Particle Swarm Optimization for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-Objective Approaches". In Natural Computing Series (pp. 155-184). doi:10.1007/978-981-15-3685-4_6
Tan, B., Ma, H., & Mei, Y. (2020) "A Group Genetic Algorithm for Resource Allocation in Container-Based Clouds". In Unknown Book (Vol. 12102 LNCS, pp. 180-196). doi:10.1007/978-3-030-43680-3_12
Sadeghiram, S., Ma, H., & Chen, G. (2020) "A Novel Repair-Based Multi-objective Algorithm for QoS-Constrained Distributed Data-Intensive Web Service Composition". In Unknown Book (Vol. 12342 LNCS, pp. 489-502). doi:10.1007/978-3-030-62005-9_35
Masood, A., Chen, G., Mei, Y., Al-Sahaf, H., & Zhang, M. (2020) "A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling". In Proceedings of 2020 IEEE Congress on Evolutionary Computation (CEC 2020) (pp. 1-8). IEEE. doi:10.1109/CEC48606.2020.9185881
Madukwe, K., Gao, X., & Xue, B. (2020) "In Data We Trust: A Critical Analysis of Hate Speech Detection Datasets". In Proceedings of the Fourth Workshop on Online Abuse and Harms. Association for Computational Linguistics. doi:10.18653/v1/2020.alw-1.18
Kumar, S., Gao, X., & Welch, I. (2020) "Retraction Note to: Co-clustering for Dual Topic Models". In Lecture Notes in Computer Science (pp. C1). Springer International Publishing. doi:10.1007/978-3-319-50127-7_67
Haseeb, J., Mansoori, M., Al-Sahaf, H., & Welch, I. (2020) "IoT Attacks: Features Identification and Clustering". In 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) (pp. 353-360). IEEE.
Hartmann, S., Alshami, J., Ma, H., & Steinmetz, D. (2020) "A Conceptual Framework for Dynamic Planning of Alternative Routes in Road Networks". In Unknown Book (Vol. 12400 LNCS, pp. 539-554). doi:10.1007/978-3-030-62522-1_40
Fournier-Viger, P., He, G., Lin, J. C. W., & Gomes, H. M. (2020) "Mining attribute evolution rules in dynamic attributed graphs". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12393 LNCS (pp. 167-182). doi:10.1007/978-3-030-59065-9_14
Escott, K. R., Ma, H., & Chen, G. (2020) "Genetic programming based hyper heuristic approach for dynamic workflow scheduling in the cloud". In Unknown Book (Vol. 12392 LNCS, pp. 76-90). doi:10.1007/978-3-030-59051-2_6
Chen, G. (2020) "A new framework for multi-agent reinforcement learning - centralized training and exploration with decentralized execution via policy distillation". In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS Vol. 2020-May (pp. 1801-1803).
Cerqueira, V., Gomes, H. M., & Bifet, A. (2020) "Unsupervised Concept Drift Detection Using a Student–Teacher Approach". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12323 LNAI (pp. 190-204). doi:10.1007/978-3-030-61527-7_13
Bi, Y., Xue, B., & Zhang, M. (2020) "Evolving deep forest with automatic feature extraction for image classification using genetic programming". In Unknown Book (Vol. 12269 LNCS, pp. 3-18). doi:10.1007/978-3-030-58112-1_1
Bahri, M., Bifet, A., Maniu, S., & Gomes, H. M. (2020) "Survey on feature transformation techniques for data streams". In IJCAI International Joint Conference on Artificial Intelligence Vol. 2021-January (pp. 4796-4802).
Azari, S., Xue, B., Zhang, M., & Peng, L. (2020) "A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry". In Unknown Book (Vol. 12047 LNCS, pp. 449-463). doi:10.1007/978-3-030-41299-9_35
Ardeh, M. A., Mei, Y., & Zhang, M. (2020) "A Parametric Framework for Genetic Programming with Transfer Learning for Uncertain Capacitated Arc Routing Problem". In Unknown Book (Vol. 12576 LNAI, pp. 150-162). doi:10.1007/978-3-030-64984-5_12
Al-Shaboti, M., Chen, G., & Welch, I. (2020) "Achieving IoT Devices Secure Sharing in Multi-User Smart Space". In 2020 IEEE 45th Conference on Local Computer Networks (LCN) (pp. 88-99). IEEE.
Al-Sahaf, H., Al-Sahaf, A., Xue, B., & Zhang, M. (2020) "Automatically Evolving Texture Image Descriptors using the Multi-tree Representation in Genetic Programming using Few Instances". Evolutionary Computation (Journal, MIT Press), PP, 1-34. doi:10.1162/evco_a_00284
Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2020) "Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data". In Unknown Book (Vol. 12101 LNCS, pp. 1-17). doi:10.1007/978-3-030-44094-7_1
Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2020) "Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data". In Unknown Book (Vol. 12047 LNCS, pp. 566-579). doi:10.1007/978-3-030-41299-9_44
Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2020) "Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values". In Unknown Book (Vol. 12576 LNAI, pp. 163-175). doi:10.1007/978-3-030-64984-5_13
Ajmal, A., Al-Sahaf, H., & Hollitt, C. (2020) "Salient motion features for visual atention models". In Proceedings of the 35th Conference on Image Vision and Computing New Zealand (IVCNZ 2020) (pp. 1-6). IEEE. doi:10.1109/IVCNZ51579.2020.9290712
Ain, Q. U., Al-Sahaf, H., Xue, B., & Zhang, M. (2020) "Generating Knowledge-guided Discriminative Features Using Genetic Programming for Melanoma Detection". IEEE Transactions on Emerging Topics in Computational Intelligence, xx, 1-16. doi:10.1109/TETCI.2020.2983426
Ain, Q. U., Al-Sahaf, H., Xue, B., & Zhang, M. (2020) "A Genetic Programming Approach to Feature Construction for Ensemble Learning in Skin Cancer Detection". In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO 2020) (pp. 1186–1194). ACM. doi:10.1145/3377930.3390228
Abdollahi, M., Gao, X., Mei, Y., Ghosh, S., & Li, J. (2020) "Ontology-Guided Data Augmentation for Medical Document Classification". In Unknown Book (Vol. 12299 LNAI, pp. 78-88). doi:10.1007/978-3-030-59137-3_8
Abbasi, M. S., Al-Sahaf, H., & Welch, I. (2020) "Particle Swarm Optimization: A Wrapper-Based Feature Selection Method for Ransomware Detection and Classification". In Unknown Book (pp. 181-196).
MOSTOFI, A., JAIN, V., & MEI, Y. I. (2020) "A Model for Pricing the License of Brand-Name Drugs Using Cooperative Game Theory". In International Joint Conference on Industrial Engineering and Operations Management Proceedings. IJCIEOM 2020 - International Joint Conference on Industrial Engineering and Operations Management. doi:10.14488/ijcieom2020_full_0012_37191

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