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
Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2024, 'Evaluating Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems Based on a Novel Lower Bound Method', IEEE Computational Intelligence Magazine.
Ruan, G, Minku, L, Xu, Z & Yao, X 2024, 'Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network', IEEE Transactions on Emerging Topics in Computational Intelligence.
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. https://doi.org/10.1109/TETCI.2024.3389769
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
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
Comment/debate
Cabral, GG, Minku, LL, Oliveira, ALI, Pessoa, DA & Tabassum, S 2024, 'Correction to: An investigation of online and offline learning models for online just-in-time software defect prediction', Empirical Software Engineering, vol. 29, no. 6, 151. https://doi.org/10.1007/s10664-023-10422-8
Conference contribution
Shi, X, Minku, L & Yao, X 2024, Novel Memristive Reservoir Computing with Evolvable Topology for Time Series Prediction. in 31st International Conference on Neural Information Processing (ICONIP'2024). Springer, 31st International Conference on Neural Information Processing, Auckland, New Zealand, 2/12/24.
Shi, X, Minku, L & Yao, X 2024, Tree-based Genetic Programming for Evolutionary Analog Circuit with Approximate Shapley Value. in Forty-fourth SGAI International Conference on Artificial Intelligence. Lecture Notes in Artificial Intelligence, Forty-fourth SGAI International Conference on Artificial Intelligence, Cambridge, United Kingdom, 17/12/24.
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
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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