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
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.
Shi, X, Minku, L & Yao, X 2023, 'Evolving Memristive Reservoir', IEEE Transactions on Neural Networks and Learning Systems.
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.
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
Song, L & Minku, L 2022, 'A procedure to continuously evaluate predictive performance of just-in-time software defect prediction models during software development', IEEE Transactions on Software Engineering. https://doi.org/10.1109/TSE.2022.3158831
Shi, X, Minku, L & Yao, X 2022, 'Adaptive memory-enhanced time delay reservoir and its memristive implementation', IEEE Transactions on Computers, vol. 71, no. 11, pp. 1-11. https://doi.org/10.1109/TC.2022.3173151
Vermetten, D, van Stein, B, Caraffini, F, Minku, L & Kononova, AV 2022, 'BIAS: a toolbox for benchmarking structural bias in the continuous domain', IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/TEVC.2022.3189848
Chapter
Song, L & Minku, L 2022, Artificial Intelligence in Software Project Management. in JR Romero, I Medina-Bulo & F Chicano (eds), Optimising the Software Development Process with Artificial Intelligence. Natural Computing Series, Springer.
Conference contribution
Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2023, A Novel Optimization Framework for Dynamic Capacitated Arc Routing Problems. in GECCO ’23: Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM), GECCO: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 15/07/23.
Shi, X, Wang, Z, Minku, L & Yao, X 2023, Explaining Memristive Reservoir Computing Through Evolving Feature Attribution. in GECCO ’23: Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM).
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
Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2022, Benchmarking dynamic capacitated arc routing algorithms using real-world traffic simulation. in 2022 IEEE Congress on Evolutionary Computation (CEC). vol. 2022, Congress on Evolutionary Computation, IEEE, 2022 IEEE Congress on Evolutionary Computation, Padua, Italy, 18/07/22. https://doi.org/10.1109/CEC55065.2022.9870399
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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