Recent publications
Book
Minku, L, Cabral, GG, Martins, M & Wagner, M (eds) 2023, Introduction to Computational Intelligence: An IEEE Computational Intelligence Society Open Book. vol. 1, 1 edn. <https://ieee-cis.github.io/IEEE-CIS-Open-Access-Book-Volume-1/>
Article
Ruan, G, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2024, 'Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives', IEEE Transactions on Emerging Topics in Computational Intelligence.
Ruan, G, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2024, 'Learning to Expand/Contract Pareto Sets in Dynamic Multi-objective Optimization with a Changing Number of Objectives', IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/TEVC.2024.3375751
Cabral, GG, Minku, L, Oliveira, ALI, Pessoa, D & Tabassum, S 2023, 'An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction', Empirical Software Engineering, vol. 28, no. 5, 121. https://doi.org/10.1007/s10664-023-10335-6
Shi, X, Minku, L & Yao, X 2023, 'Evolving Memristive Reservoir', IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2023.3270224
Song, L, Minku, L & Yao, X 2023, 'On the Validity of Retrospective Predictive Performance Evaluation Procedures in Just-In-Time Software Defect Prediction', Empirical Software Engineering, vol. 28, no. 5, 124. https://doi.org/10.1007/s10664-023-10341-8
Chiu, CW & Minku, L 2023, 'SMOClust: Synthetic Minority Oversampling based on Stream Clustering for Evolving Data Streams', Machine Learning. https://doi.org/10.1007/s10994-023-06420-y
Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2022, 'A novel generalised meta-heuristic framework for dynamic capacitated arc routing problems', IEEE Transactions on Evolutionary Computation, vol. 2022, pp. 1-15. https://doi.org/10.1109/TEVC.2022.3147509
Shi, X, Minku, L & Yao, X 2022, 'A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit', Genetic Programming and Evolvable Machines. https://doi.org/10.1007/s10710-022-09436-w
Chapter
Song, L & Minku, L 2023, Artificial Intelligence in Software Project Management. in JR Romero, I Medina-Bulo & F Chicano (eds), Optimising the Software Development Process with Artificial Intelligence. 1 edn, Natural Computing Series, Springer, pp. 19–65. https://doi.org/10.1007/978-981-19-9948-2_2
Conference contribution
Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2023, A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. in GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), pp. 45–46, GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 15/07/23. https://doi.org/10.1145/3583133.3595829
Song, L, Minku, L, Teng, C & Yao, X 2023, A Practical Human Labeling Method for Online Just-in-Time Software Defect Prediction. in S Chandra, K Blincoe & P Tonella (eds), ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. FSE: Foundations of Software Engineering, Association for Computing Machinery (ACM), pp. 605–617, 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, San Francisco, California, United States, 3/12/23. https://doi.org/10.1145/3611643.3616307
Shi, X, Wang, Z, Minku, L & Yao, X 2023, Explaining Memristive Reservoir Computing Through Evolving Feature Attribution. in GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), pp. 683–686. https://doi.org/10.1145/3583133.3590619
Song, L, Li, S, Minku, L & Yao, X 2022, A novel data stream learning approach to tackle one-sided label noise from verification latency. in 2022 International Joint Conference on Neural Networks (IJCNN). International Joint Conference on Neural Networks (IJCNN), IEEE, Piscataway, NJ, pp. 1-8, 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 18/07/22. https://doi.org/10.1109/IJCNN55064.2022.9891911
Review article
Taib, B, Karwath, A, Wensley, K, Minku, L, Gkoutos, G & Moiemen, NS 2023, 'Artificial intelligence in the management and treatment of burns: a systematic review and meta-analyses', Journal of Plastic, Reconstructive & Aesthetic Surgery, vol. 77, pp. 133-161. https://doi.org/10.1016/j.bjps.2022.11.049
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