Recent publications
Article
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. https://doi.org/10.1109/TEVC.2022.3147509
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.
Sobhy, D, Minku, L, Bahsoon, R & Kazman, R 2022, 'Continuous and proactive software architecture evaluation: an IoT case', ACM Transactions on Software Engineering and Methodology, vol. 31, no. 3, 46. https://doi.org/10.1145/3492762
Tabassum, S, Minku, L & Feng, D 2022, 'Cross-project online just-in-time software defect prediction', IEEE Transactions on Software Engineering. https://doi.org/10.1109/TSE.2022.3150153
Hassan, S, Bahsoon, R, Minku, L & Nour, A 2022, 'Dynamic evaluation of microservice granularity adaptation', ACM Transactions on Autonomous and Adaptive Systems , vol. 16, no. 2, 4. https://doi.org/10.1145/3502724
Sobhy, D, Bahsoon, R, Minku, L & Kazman, R 2021, 'Evaluation of software architectures under uncertainty: a systematic literature review', ACM Transactions on Software Engineering and Methodology, vol. 30, no. 4, 51. https://doi.org/10.1145/3464305
Soares, R & Minku, L 2021, 'OSNN: an online semisupervised neural network for nonstationary data streams', IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2021.3132584
Tong, H, Huang, C, Minku, L & Yao, X 2021, 'Surrogate models in evolutionary single-objective optimization: a new taxonomy and experimental study', Information Sciences. https://doi.org/10.1016/j.ins.2021.03.002
Oliveira, GHFM, Minku, L & Oliveira, ALI 2021, 'Tackling virtual and real concept drifts: an adaptive Gaussian mixture model approach', IEEE Transactions on Knowledge and Data Engineering. https://doi.org/10.1109/TKDE.2021.3099690
Conference contribution
Saha, S, Rios, T, Minku, L, Vas Stein, B, Wollstadt, P, Yao, X, Back, T, Sendhoff, B & Menzel, S 2022, Exploiting generative models for performance predictions of 3D car designs. in 2021 IEEE Symposium Series on Computational Intelligence (SSCI)., 9660034, IEEE Symposium Series on Computational Intelligence, IEEE, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), 4/12/21. https://doi.org/10.1109/SSCI50451.2021.9660034
Shi, X, Gao, J, Minku, L, Yu, J & Yao, X 2022, Second-order time delay reservoir computing for nonlinear time series problems. in 2021 IEEE Symposium Series on Computational Intelligence (SSCI)., 9659913, IEEE Symposium Series on Computational Intelligence, IEEE, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), 4/12/21. https://doi.org/10.1109/SSCI50451.2021.9659913
Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2021, A hybrid local search framework for the dynamic capacitated arc routing problem. in F Chicano (ed.), GECCO '21: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference (GECCO), Association for Computing Machinery (ACM), New York, pp. 139-140, Genetic and Evolutionary Computation Conference, 10/07/21. https://doi.org/10.1145/3449726.3459450
Saha, S, Minku, LL, Yao, X, Senhoff, B & Menzel, S 2021, Exploiting linear interpolation of variational autoencoders for satisfying preferences in evolutionary design optimization. in 2021 IEEE Congress on Evolutionary Computation (CEC)., 9504772, Congress on Evolutionary Computation, IEEE, pp. 1767-1776, 2021 IEEE Congress on Evolutionary Computation (CEC), 28/06/21. https://doi.org/10.1109/CEC45853.2021.9504772
Minku, L 2021, Multi-stream online transfer learning for software effort estimation: is it necessary? in S McIntosh, X Xia & S Amasaki (eds), PROMISE 2021: Proceedings of the 17th ACM International Conference on Predictive Models and Data Analytics in Software Engineering. PROMISE: Predictor Models in Software Engineering, Association for Computing Machinery (ACM), pp. 11-20, The 17th International Conference on Predictive Models and Data Analytics in Software Engineering, Athens, Greece, 19/08/21. https://doi.org/10.1145/3475960.3475988
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