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

  • Mei, Y. (2022) "Invited Speaker of “Explainable Genetic Programming and its Applications in Combinatorial Optimisation"". IEEE Guangzhou Chapter Emerging Technology Forum.
  • Wang, B., Xue, B., & Zhang, M. (2022) "An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks". __. doi:10.48550/arxiv.2212.03942
  • Stanley, M., Lensen, A., & Zhang, M. (2022) "Using Neural Networks to Automate Monitoring of Fish Stocks". __.
  • Alavizadeh, H., Jang-Jaccard, J., Enoch, S. Y., Al-Sahaf, H., Welch, I., Camtepe, S. A., & Kim, D. D. (2022) "A Survey on Cyber Situation-Awareness Systems: Framework, Techniques, and Insights". ACM Computing Surveys, 55(5). doi:10.1145/3530809
  • Xie, X., Liu, Y., Sun, Y., Yen, G. G., Xue, B., & Zhang, M. (2022) "BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search". IEEE Transactions on Evolutionary Computation, 26(6), 1473-1485. doi:10.1109/TEVC.2022.3147526
  • Jia, Y. H., Mei, Y., & Zhang, M. (2022) "Confidence-Based Ant Colony Optimization for Capacitated Electric Vehicle Routing Problem With Comparison of Different Encoding Schemes". IEEE Transactions on Evolutionary Computation, 26(6), 1394-1408. doi:10.1109/TEVC.2022.3144142
  • Gao, G., Mei, Y., Xin, B., Jia, Y. H., & Browne, W. N. (2022) "Automated Coordination Strategy Design Using Genetic Programming for Dynamic Multipoint Dynamic Aggregation". IEEE Transactions on Cybernetics, 52(12), 13521-13535. doi:10.1109/TCYB.2021.3080044
  • Cai, X., Sun, Q., Li, Z., Xiao, Y., Mei, Y., Zhang, Q., & Li, X. (2022) "Cooperative Coevolution With Knowledge-Based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization". IEEE Transactions on Evolutionary Computation, 26(6), 1553-1565. doi:10.1109/TEVC.2022.3154057
  • Lensen, A., & Betkier, M. (2022) "We built an algorithm that predicts the length of court sentences – could AI play a role in the justice system?". The Conversation. Retrieved from https://theconversation.
  • Wang, B., Pei, W., Xue, B., & Zhang, M. (2022) "Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations". __. doi:10.48550/arxiv.2211.15143
  • Gomes, H. M., Grzenda, M., Mello, R., Read, J., Le Nguyen, M. H., & Bifet, A. (2022) "A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams". ACM Computing Surveys, 55(4). doi:10.1145/3523055
  • Mei, Y. (2022) "AI for Emergency Medical Dispatch". New Zealand AI Researcher Association Workshop 2022.
  • Lensen, A. (2022) "AI & Image Analysis: Computational Pathology in Aotearoa Online Hui". __.
  • Nguyen, L., Nguyen Vo, T. H., Trinh, Q. H., Nguyen, B. H., Nguyen-Hoang, P. U., Le, L., & Nguyen, B. P. (2022) "IANP-EC: Identifying Anticancer Natural Products Using Ensemble Learning Incorporated with Evolutionary Computation". Journal of Chemical Information and Modeling, 62(21), 5080-5089. doi:10.1021/acs.jcim.1c00920
  • Palli, A. S., Jaafar, J., Gomes, H. M., Hashmani, M. A., & Gilal, A. R. (2022) "An Experimental Analysis of Drift Detection Methods on Multi-Class Imbalanced Data Streams". Applied Sciences (Switzerland), 12(22). doi:10.3390/app122211688
  • Rodger, H., Lensen, A., & Betkier, M. (2022) "Explainable Artificial Intelligence for Assault Sentence Prediction in New Zealand". Journal of the Royal Society of New Zealand, 53(1), 133-147. doi:10.1080/03036758.2022.2114506
  • Zhang, F., Mei, Y., Nguyen, S., Tan, K. C., & Zhang, M. (2022) "Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling". IEEE Transactions on Cybernetics, 52(10), 10515-10528. doi:10.1109/TCYB.2021.3065340
  • Peng, B., Bi, Y., Xue, B., Zhang, M., & Wan, S. (2022) "A Survey on Fault Diagnosis of Rolling Bearings". Algorithms, 15(10). doi:10.3390/a15100347
  • Jiao, R., Xue, B., & Zhang, M. (2022) "Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization". IEEE Transactions on Evolutionary Computation, 26(5), 872-885. doi:10.1109/TEVC.2021.3120980
  • Jia, Y. H., Mei, Y., & Zhang, M. (2022) "A Bilevel Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem". IEEE Transactions on Cybernetics, 52(10), 10855-10868. doi:10.1109/TCYB.2021.3069942
  • Chen, K., Xue, B., Zhang, M., & Zhou, F. (2022) "Correlation-Guided Updating Strategy for Feature Selection in Classification with Surrogate-Assisted Particle Swarm Optimization". IEEE Transactions on Evolutionary Computation, 26(5), 1015-1029. doi:10.1109/TEVC.2021.3134804
  • Bi, Y., Xue, B., & Zhang, M. (2022) "Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification". __. doi:10.48550/arxiv.2209.13233
  • Raymond, C., Chen, Q., Xue, B., & Zhang, M. (2022) "Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning". __. doi:10.48550/arxiv.2209.08907
  • Bi, Y., Xue, B., Mesejo, P., Cagnoni, S., & Zhang, M. (2022) "A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends". __. doi:10.48550/arxiv.2209.06399
  • Trujillo, L., Hu, T., Lourenço, N., & Zhang, M. (2022) "Editorial Introduction". Genetic Programming and Evolvable Machines, 23(3), 305-307. doi:10.1007/s10710-022-09437-9
  • Sun, Y., Pfahringer, B., Gomes, H. M., & Bifet, A. (2022) "SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams". Data Mining and Knowledge Discovery, 36(5), 2006-2032. doi:10.1007/s10618-022-00858-9
  • Nguyen, S., Thiruvady, D., Zhang, M., & Alahakoon, D. (2022) "Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling with Self-Competitive Genetic Programming". IEEE Transactions on Cybernetics, 52(9), 8603-8616. doi:10.1109/TCYB.2021.3062799
  • Ali, M., Chen, Y., Cree, M. J., & Zhang, M. (2022) "In vivo computation with sensor fusion and search acceleration for smart tumor homing". Computers in Biology and Medicine, 148. doi:10.1016/j.compbiomed.2022.105887
  • Li, N., Ma, L., Yu, G., Xue, B., Zhang, M., & Jin, Y. (2022) "Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues". __. doi:10.48550/arxiv.2208.10658
  • Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2022) "Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling". In International Conference on Parallel Problem Solving from Nature (PPSN). Springer. doi:10.1007/978-3-031-14721-0_4
  • Rodger, H., Lensen, A., & Betkier, M. (2022) "Explainable Artificial Intelligence for Assault Sentence Prediction in New Zealand". __. doi:10.48550/arxiv.2208.06981
  • Mei, Y. (2022) "Keynote Speaker of “Automatic Heuristic Learning for Complex Optimisation Problems with Genetic Programming”". International Workshop on Evolutionary Computation and Learning.
  • Zhang, Y., Mei, Y., Huang, S., Zheng, X., & Zhang, C. (2022) "A Route Clustering and Search Heuristic for Large-Scale Multidepot-Capacitated Arc Routing Problem". IEEE Transactions on Cybernetics, 52(8), 8286-8299. doi:10.1109/TCYB.2020.3043265
  • Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2022) "Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling". IEEE Transactions on Cybernetics, 52(8), 8142-8156. doi:10.1109/TCYB.2021.3050141
  • Wang, B., Xue, B., & Zhang, M. (2022) "Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification". IEEE Transactions on Neural Networks and Learning Systems, 33(8), 3727-3740. doi:10.1109/TNNLS.2021.3054400
  • Sun, Y., Yen, G. G., Xue, B., Zhang, M., & Lv, J. (2022) "ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures". IEEE Transactions on Artificial Intelligence, 3(4), 526-540. doi:10.1109/TAI.2021.3128502
  • Shi, T., Ma, H., Chen, G., & Hartmann, S. (2022) "Cost-Effective Web Application Replication and Deployment in Multi-Cloud Environment". IEEE Transactions on Parallel and Distributed Systems, 33(8), 1982-1995. doi:10.1109/TPDS.2021.3133884
  • Mann, E., Williamson, A. J., Gomes, H. M., Dillon, S., & Bifet, A. (2022) "Should a Social Enterprise Publicly “Toot its Virtuous Horn”? An Artificial Intelligence Approach". Academy of Management Proceedings, 2022(1). doi:10.5465/ambpp.2022.15344abstract
  • Lu, M., Bi, Y., Xue, B., Hu, Q., Zhang, M., Wei, Y., . . . Wu, W. (2022) "Genetic Programming for High-Level Feature Learning in Crop Classification". Remote Sensing, 14(16). doi:10.3390/rs14163982
  • Lensen, A., Xue, B., & Zhang, M. (2022) "Genetic Programming for Manifold Learning: Preserving Local Topology". IEEE Transactions on Evolutionary Computation, 26(4), 661-675. doi:10.1109/TEVC.2021.3106672
  • Gao, G., Mei, Y., Jia, Y. H., Browne, W. N., & Xin, B. (2022) "Adaptive Coordination Ant Colony Optimization for Multipoint Dynamic Aggregation". IEEE Transactions on Cybernetics, 52(8), 7362-7376. doi:10.1109/TCYB.2020.3042511
  • Bi, Y., Xue, B., & Zhang, M. (2022) "Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification". IEEE Transactions on Cybernetics, 52(8), 8272-8285. doi:10.1109/TCYB.2021.3049778
  • Barracchia, E. P., Pio, G., Bifet, A., Gomes, H. M., Pfahringer, B., & Ceci, M. (2022) "LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding". Information Sciences, 606, 702-721. doi:10.1016/j.ins.2022.05.079
  • Ardeh, M. A., Mei, Y., & Zhang, M. (2022) "Genetic Programming with Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem". IEEE Transactions on Evolutionary Computation, 26(4), 765-779. doi:10.1109/TEVC.2021.3129278
  • Zhu, J., Jang-Jaccard, J., Welch, I., Al-Sahaf, H., & Camtepe, S. (2022) "Malware Triage Approach using a Task Memory based on Meta-Transfer Learning Framework". __. doi:10.48550/arxiv.2207.10242
  • Xu, M., Mei, Y., Zhang, F., & Zhang, M. (2022) "Genetic programming with cluster selection for dynamic flexible job shop scheduling". In IEEE Congress on Evolutionary Computation (CEC). doi:10.1109/CEC55065.2022.9870431
  • Mei, Y., & Lensen, A. (2022) "Tutorial on “Towards Better AI Interpretability Through Genetic Programming”". IEEE Congress on Evolutionary Computation 2022.
  • Zhang, M., & Cagnoni, S. (2022) "Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition". In GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 1602-1630). doi:10.1145/3520304.3533636
  • Zeng, P., Lensen, A., & Sun, Y. (2022) "Large scale image classification using GPU-based genetic programming". In GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 619-622). doi:10.1145/3520304.3528892
  • Xue, B., & Zhang, M. (2022) "Evolutionary computation for feature selection and feature construction". In GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 1200-1229). doi:10.1145/3520304.3533659
  • Xu, M., Mei, Y., Zhang, F., & Zhang, M. (2022) "Genetic programming with diverse partner selection for dynamic flexible job shop scheduling". In GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 615-618). doi:10.1145/3520304.3528920
  • Liu, Y., Browne, W. N., & Xue, B. (2022) "A comparison of rule compaction algorithms for michigan style learning classifier systems". In GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 31-32). doi:10.1145/3520304.3534068
  • Lin, J., Chen, Q., Xue, B., & Zhang, M. (2022) "Multi-task optimisation for multi-objective feature selection in classification". In GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 264-267). doi:10.1145/3520304.3528903
  • John, T. C., Abbasi, M. S., Al-Sahaf, H., & Welch, I. (2022) "Automatically Evolving Malice Scoring Models through Utilisation of Genetic Programming: A Cooperative Coevolution Approach". In GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 562-565). doi:10.1145/3520304.3529063
  • Durasević, M., Jakobović, D., Mei, Y., Nguyen, S., & Zhang, M. (2022) "Introduction to automated design of scheduling heuristics with genetic programming". In GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 1506-1526). doi:10.1145/3520304.3533667
  • Demir, K., Nguyen, B. H., Xue, B., & Zhang, M. (2022) "Particle swarm optimisation for sparsity-based feature selection in multi-label classification". In GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 232-235). doi:10.1145/3520304.3529074
  • Andersen, H., Lensen, A., & Browne, W. N. (2022) "Improving the search of learning classifier systems through interpretable feature clustering". In GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 1752-1756). doi:10.1145/3520304.3534027
  • Wang, S., Mei, Y., & Zhang, M. (2022) "Local ranking explanation for genetic programming evolved routing policies for uncertain capacitated Arc routing problems". In GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 314-322). doi:10.1145/3512290.3528723
  • Huang, Z., Mei, Y., Zhang, F., & Zhang, M. (2022) "Graph-based Linear Genetic Programming: A Case Study of Dynamic Scheduling". In GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 955-963). doi:10.1145/3512290.3528730
  • Gao, G., Xin, B., Mei, Y., Lu, S., & Ding, S. (2022) "A multi-objective evolutionary algorithm with new reproduction and decomposition mechanisms for the multi-point dynamic aggregation problem". In GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 1182-1190). doi:10.1145/3512290.3528728
  • Costa, J. G. C., Mei, Y., & Zhang, M. (2022) "Guided local search with an adaptive neighbourhood size heuristic for large scale vehicle routing problems". In GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 213-221). doi:10.1145/3512290.3528865
  • Xie, X., Liu, Y., Sun, Y., Zhang, M., & Tan, K. C. (2022) "Architecture Augmentation for Performance Predictor Based on Graph Isomorphism". __. doi:10.48550/arxiv.2207.00987
  • Ruigrok, M., Xue, B., Catanach, A., Zhang, M., Jesson, L., Davy, M., & Wellenreuther, M. (2022) "The Relative Power of Structural Genomic Variation versus SNPs in Explaining the Quantitative Trait Growth in the Marine Teleost Chrysophrys auratus". Genes, 13(7). doi:10.3390/genes13071129
  • Johnson, D., Chen, G., & Lu, Y. (2022) "Multi-Agent Reinforcement Learning for Real-Time Dynamic Production Scheduling in a Robot Assembly Cell". IEEE Robotics and Automation Letters, 7(3), 7684-7691. doi:10.1109/LRA.2022.3184795
  • Chen, K., Xue, B., Zhang, M., & Zhou, F. (2022) "An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification". IEEE Transactions on Cybernetics, 52(7), 7172-7186. doi:10.1109/TCYB.2020.3042243
  • Ain, Q. U., Al-Sahaf, H., Xue, B., & Zhang, M. (2022) "Genetic programming for automatic skin cancer image classification". Expert Systems with Applications, 197. doi:10.1016/j.eswa.2022.116680
  • Zhu, J., Jang-Jaccard, J., Singh, A., Welch, I., AL-Sahaf, H., & Camtepe, S. (2022) "A few-shot meta-learning based siamese neural network using entropy features for ransomware classification". Computers and Security, 117. doi:10.1016/j.cose.2022.102691
  • Wang, C., Ma, H., Chen, G., & Hartmann, S. (2022) "Memetic EDA-Based Approaches to QoS-Aware Fully Automated Semantic Web Service Composition". IEEE Transactions on Evolutionary Computation, 26(3), 570-584. doi:10.1109/TEVC.2021.3127633
  • Liu, Y., Browne, W. N., & Xue, B. (2022) "Visualizations for rule-based machine learning". Natural Computing, 21(2), 243-264. doi:10.1007/s11047-020-09840-0
  • Jia, Y. H., Mei, Y., & Zhang, M. (2022) "Contribution-Based Cooperative Co-Evolution for Nonseparable Large-Scale Problems With Overlapping Subcomponents". IEEE Transactions on Cybernetics, 52(6), 4246-4259. doi:10.1109/TCYB.2020.3025577
  • Chen, K., Xue, B., Zhang, M., & Zhou, F. (2022) "Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization". IEEE Transactions on Evolutionary Computation, 26(3), 446-460. doi:10.1109/TEVC.2021.3100056
  • Bi, Y., Xue, B., & Zhang, M. (2022) "Dual-Tree Genetic Programming for Few-Shot Image Classification". IEEE Transactions on Evolutionary Computation, 26(3), 555-569. doi:10.1109/TEVC.2021.3100576
  • Ceschin, F., Botacin, M., Gomes, H. M., Pinagé, F., Oliveira, L. S., & Grégio, A. (2022) "Fast & Furious: Modelling Malware Detection as Evolving Data Streams". __. doi:10.48550/arxiv.2205.12311
  • Tian, Y., Xiong, T., Liu, Z., Mei, Y., & Wan, L. (2022) "Multi-Objective multi-skill resource-constrained project scheduling problem with skill switches: Model and evolutionary approaches". Computers and Industrial Engineering, 167. doi:10.1016/j.cie.2021.107897
  • Madukwe, K. J., Gao, X., & Xue, B. (2022) "Token replacement-based data augmentation methods for hate speech detection". World Wide Web, 25(3), 1129-1150. doi:10.1007/s11280-022-01025-2
  • Bi, Y., Xue, B., & Zhang, M. (2022) "Using a small number of training instances in genetic programming for face image classification". Information Sciences, 593, 488-504. doi:10.1016/j.ins.2022.01.055
  • Abbasi, M. S., Al-Sahaf, H., Mansoori, M., & Welch, I. (2022) "Behavior-based ransomware classification: A particle swarm optimization wrapper-based approach for feature selection". Applied Soft Computing, 121. doi:10.1016/j.asoc.2022.108744
  • Bifet, A., Ferreira, C., Gama, J., & Gomes, H. M. (2022) "EDITORIAL MESSAGE Special Track on Data Streams". In Proceedings of the ACM Symposium on Applied Computing (pp. 449). doi:10.1145/3535426
  • Mandal, R., Azam, B., Verma, B., & Zhang, M. (2022) "Deep Learning Model with GA based Feature Selection and Context Integration". __. doi:10.48550/arxiv.2204.06189
  • Hancer, E., Xue, B., & Zhang, M. (2022) "Fuzzy filter cost-sensitive feature selection with differential evolution". Knowledge-Based Systems, 241. doi:10.1016/j.knosys.2022.108259
  • Fang, W., Zhu, H., & Mei, Y. (2022) "Hybrid meta-heuristics for the unrelated parallel machine scheduling problem with setup times". Knowledge-Based Systems, 241. doi:10.1016/j.knosys.2022.108193
  • Gupta, A., Ong, Y. S., De Jong, K. A., & Zhang, M. (2022) "Guest Editorial Special Issue on Multitask Evolutionary Computation". IEEE Transactions on Evolutionary Computation, 26(2), 202-205. doi:10.1109/TEVC.2022.3156325
  • Chen, Q., Xue, B., & Zhang, M. (2022) "Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression". IEEE Transactions on Cybernetics, 52(4), 2382-2395. doi:10.1109/TCYB.2020.3004361
  • Chen, F., Wei, J., Xue, B., & Zhang, M. (2022) "Feature fusion and kernel selective in Inception-v4 network". Applied Soft Computing, 119. doi:10.1016/j.asoc.2022.108582
  • Bi, Y., Xue, B., & Zhang, M. (2022) "Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning". IEEE Transactions on Evolutionary Computation, 26(2), 218-232. doi:10.1109/TEVC.2021.3097043
  • Wen, C., Lu, M., Bi, Y., Zhang, S., Xue, B., Zhang, M., . . . Wu, W. (2022) "An Object-Based Genetic Programming Approach for Cropland Field Extraction". Remote Sensing, 14(5). doi:10.3390/rs14051275
  • Pei, W., Xue, B., Shang, L., & Zhang, M. (2022) "High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection". Evolutionary Computation, 30(1), 99-129. doi:10.1162/evco_a_00304
  • Manapragada, C., Gomes, H. M., Salehi, M., Bifet, A., & Webb, G. I. (2022) "An eager splitting strategy for online decision trees in ensembles". Data Mining and Knowledge Discovery, 36(2), 566-619. doi:10.1007/s10618-021-00816-x
  • Fan, Q., Bi, Y., Xue, B., & Zhang, M. (2022) "Genetic programming for feature extraction and construction in image classification". Applied Soft Computing, 118. doi:10.1016/j.asoc.2022.108509
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  • Wang, C., Ma, H., Chen, G., Hartmann, S., & Branke, J. (2022) "Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures". IEEE Transactions on Emerging Topics in Computational Intelligence, 6(1), 77-92. doi:10.1109/TETCI.2020.3027870
  • Haseeb, J., Mansoori, M., Hirose, Y., Al-Sahaf, H., & Welch, I. (2022) "Autoencoder-based feature construction for IoT attacks clustering". Future Generation Computer Systems, 127, 487-502. doi:10.1016/j.future.2021.09.025
  • Cassales, G., Gomes, H., Bifet, A., Pfahringer, B., & Senger, H. (2022) "Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing". __. doi:10.48550/arxiv.2201.06205
  • Zhao, Y., Chen, G., Ma, H., Zuo, X., & Ai, G. (2022) "Dynamic Bus Holding Control Using Spatial-Temporal Data – A Deep Reinforcement Learning Approach". In Unknown Book (Vol. 13728 LNAI, pp. 661-674). doi:10.1007/978-3-031-22695-3_46
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  • Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2022) "Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling". In Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022 (pp. 1218-1225). doi:10.1109/SSCI51031.2022.10022169
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  • Yu, Y., Shi, T., Ma, H., & Chen, G. (2022) "A Genetic Programming-Based Hyper-Heuristic Approach for Multi-Objective Dynamic Workflow Scheduling in Cloud Environment". In 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings. doi:10.1109/CEC55065.2022.9870403
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