Leandro L. Minku
Leandro L. Minku

Office UG39
School of Computer Science
University of Birmingham
Edgbaston
Birmingham, B15 2TT
UK

L.L.Minku ._at_. bham.ac.uk
+44 (0)121 414 6822

About Me
Projects
Publications
Teaching
My Lab
Open Positions
Open Source / Data
Other Activities

Publications

Copyright: The copyright of the papers below is owned by the respective publishers. Personal use of the electronic versions here provided is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the publishers.

Journal Papers

  1. SOARES, R.G.F., MINKU, L.L. . "Online Ensemble Model Compression for Nonstationary Data Stream Learning", Neural Networks, 2024 (accepted). Paper also available here. Supplementary material available here.

  2. RUAN, G., MINKU, L.L., XU, Z., YAO, X. . "Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network", IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 (accepted). Paper available here. Supplementary material available here

  3. TONG, H., MINKU, L.L., MENZEL, S., SENDHOFF, B., YAO, X. . "Evaluating Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems Based on a Novel Lower Bound Method", Computational Intelligence Magazine (CIM), 2024 (accepted). Paper also available here.

  4. RUAN, G., MINKU, L.L., MENZEL, S., SENDHOFF, B., YAO, X. . "Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives", IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), v. 8, n. 6, 2024, DOI: 10.1109/TETCI.2024.3389769. Paper also available here.

  5. RUAN, G., MINKU, L.L., MENZEL, S., SENDHOFF, B., YAO, X. . "Learning to Expand/Contract Pareto Sets in Dynamic Multi-objective Optimization with a Changing Number of Objectives", IEEE Transactions on Evolutionary Computation, 2024 (accepted). DOI: 10.1109/TEVC.2024.3375751. Paper available here. Supplementary material available here.

  6. SHI, X., MINKU, L.L., YAO, X. . "Evolving Memristive Reservoir", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 (accepted). Paper also available here. Supplementary material available here. DOI: 10.1109/TNNLS.2023.3270224

  7. CHIU, C.W.; MINKU, L.L. . "SMOClust: Synthetic Minority Oversampling based on Stream Clustering for Evolving Data Streams", Machine Learning, 2023 (accepted). Paper available here. Supplementary material available here.

  8. SONG, L.; MINKU, L.L.; YAO, X. . "On the Validity of Retrospective Predictive Performance Evaluation Procedures in Just-In-Time Software Defect Prediction", Empirical Software Engineering Journal (EMSE), vol. 28, article no. 124, September 2023, doi: 10.1007/s10664-023-10341-8. Paper also available here. Supplementary materials available here and here.

  9. CABRAL, G.G.; MINKU, L.L.; OLIVEIRA, A.L.I.; PESSOA, D.A.; TABASSUM, S. . "An Investigation of Online and Offline Learning Models for Online Just-in-Time Software Defect Prediction", Empirical Software Engineering Journal (EMSE), vol. 28, article no. 121, September 2023, doi: 10.1007/s10664-023-10335-6. Paper also available here. (Please note typo in a formula as highlighted by a comment in the pdf.) Supplementary material available here.

  10. SOARES, R.; MINKU, L. . "OSNN: An Online Semisupervised Neural Network for Nonstationary Data Streams", IEEE Transactions on Neural Networks and Learning Systems, vol. 34, n. 9, September 2023, Date of publication: December 2021, doi: 10.1109/TNNLS.2021.3132584. Paper also available here. Supplementary material available here. Code available here.

  11. CABRAL, G.; MINKU, L.L. . "Towards Reliable Online Just-in-time Software Defect Prediction", IEEE Transactions on Software Engineering (TSE), v. 49, n. 3, March 2023, doi: 10.1109/TSE.2022.3175789. Paper also available here. Supplementary material available here.

  12. TAIB, B. G.,Karwath, A.; Wensley, K.; Minku, L., Gkoutos, G.; Moiemen, N. . "Artificial Intelligence in the Management and Treatment of Burns: A Systematic Review and Meta-analyses", Journal of Plastic, Reconstructive & Aesthetic Surgery, February 2023, doi: 10.1016/j.bjps.2022.11.049.

  13. SONG, L.; MINKU, L.L. . "A Procedure to Continuously Evaluate Predictive Performance of Just-In-Time Software Defect Prediction Models During Software Development", IEEE Transactions on Software Engineering (TSE), vol. 49, n. 2, February 2023, doi: 10.1109/TSE.2022.3158831. Paper available here. Supplementary material available here.

  14. TABASSUM, S.; MINKU, L.L.; FENG, D. . "Cross-Project Online Just-In-Time Software Defect Prediction", IEEE Transactions on Software Engineering (TSE), vol. 49, no. 1, pages 268-287, January 2023, doi: 10.1109/TSE.2022.3150153. Paper available here. (Please note typo in a formula as highlighted by a comment in the pdf.) Supplementary material available here.

  15. VERMETTEN, D.; Van Stein, B.; CARAFFINI, F.; MINKU, L.L.; KONONOVA, A. V. . "BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain", IEEE Transactions on Evolutionary Computation (TEvC), vol. 26, no. 6, December 2022, doi: 10.1109/TEVC.2022.3189848. Paper available here.

  16. TONG, H.; MINKU, L.L.; MENZEL, S.; SENDHOFF, B.; YAO, X. . "A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems", IEEE Transactions on Evolutionary Computation (TEvC), vol. 26, no. 6, December 2022, doi: 10.1109/TEVC.2022.3147509. Paper also available here.

  17. SHI, S.; MINKU, L.L.; YAO, X. . "Adaptive Memory-enhanced Time Delay Reservoir and Its Memristive Implementation", IEEE Transactions on Computers (TC), vol. 71, pages 2766-2777, November 2022, doi: 10.1109/TC.2022.3173151. Paper also available here.

  18. SHI, S.; MINKU, L.L.; YAO, X. . "A Novel Tree-based Representation for Evolving Analog Circuits and Its Application to Memristor-Based Pulse Generation Circuit", Genetic Programming and Evolvable Machines, vol. 23, pages 453-493, July 2022, doi: 10.1007/s10710-022-09436-w. Paper also available here.

  19. SOBHY, D.; MINKU, L.L.; BAHSOON, R.; KAZMAN, R. . "Continuous and Proactive Software Architecture Evaluation: An IoT Case", ACM Transactions on Software Engineering and Methodology (TOSEM), vol. 31, no. 3, article no. 46, March 2022. Paper also available here.

  20. CHIU, C. W.; MINKU, L. L. . "A Diversity Framework for Dealing with Multiple Types of Concept Drift Based on Clustering in the Model Space", IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol. 33, n. 3, p. 1299-1309, March 2022, doi: 1. 10.1109/TNNLS.2020.3041684. Paper also available here. (in press)

  21. SWAN, J. et al . "Metaheuristics 'In The Large'", European Journal of Operational Research, vol. 297, no. 2, pages 3930406, March 2022, doi: 10.1016/j.ejor.2021.05.042.

  22. OLIVEIRA, G.H.F.M.; MINKU, L.L.; OLIVEIRA, A. . "Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Approach", IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 35, no. 2, pages 2048-2060, July 2021, doi: 10.1109/TKDE.2021.3099690. Paper also available here. Supplementary material also available here. Source code available here.

  23. SOBHY, D.; BAHSOON, R.; MINKU, L.; KAZMAN, R. . "Evaluation of Software Architectures under Uncertainty: A Systematic Literature Review", ACM Transactions on Software Engineering and Methodology (TOSEM), vol. 30, no. 4, article no. 51, pages 1-50, August 2021, doi: 10.1145/3464305. Paper also available here

  24. TONG, H.; HUANG, C.; MINKU, L.L.; YAO, X. . "Surrogate Models in Evolutionary Single-Objective Optimization: A New Taxonomy and Experimental Study", Information Sciences, vol. 562, pages 414-437, July 2021, doi: 10.1016/j.ins.2021.03.002. Paper also available here.

  25. NI, Y.; DU, X.; YE, P.; MINKU, L.L.; YAO, X.; HARMAN, M.; XIAO, R. . "Multi-Objective Software Performance Optimisation at the Architecture Level Using Randomised Search Rules", Information and Software Technology (IST), vol. 135, July 2021, doi: 10.1016/j.infsof.2021.106565. Paper also available here.

  26. HASSAN, S.; BAHSOON, R.; MINKU, L.; NOUR, A. . "Dynamic Evaluation of Microservice Granularity Adaptation", ACM Transactions on Autonomous and Adaptive Systems (TAAS), vol. 16, n. 2, p. 4.1-4.35, June 2021. Paper also available here.

  27. BRZEZINSKI, D.; MINKU, L.; PEWINSKI, T.; STEFANOWSKI, J.; SZUMACZUK, A. . "The Impact of Data Difficulty Factors on Classification of Imbalanced and Concept Drifting Data Streams", Knowledge and Information Systems (KAIS), vol. 63, pages 1429-1469, April 2021. Paper also available here. Supplementary material available here.

  28. DALLORA, A.L.; MINKU, L.L.; MENDES, E.; RENNEMARK, M.; ANDERBERG, P.; BERGLUND, J.S. . "Multifactorial 10-Year Prior Diagnosis Prediction Model of Dementia", International Journal of Environmental Research and Public Health, vol. 17, n. 18, September 2020, doi: 10.3390/ijerph17186674. Paper available here

  29. ZHANG, O.; MINKU, L.L.; GONEM, S. . "Detecting Asthma Exacerbations Using Daily Home Monitoring and Machine Learning", Journal of Asthma, vol. 58, no. 11, pages 1518-1527, July 2020, doi: 10.1080/02770903.2020.1802746. Paper also available here.

  30. AGRAWAL, A.; MENZIES, T.; MINKU, L.L.; WAGNER, M.; YU, Z. ."Better Software Analytics via "DUO":Data Mining Algorithms Using/Used-by Optimizers", Empirical Software Engineering Journal, vol. 25, n. 3, p. 2099-2136, April 2020, doi: 10.1007/s10664-020-09808-9. Paper also available here.

  31. IDREES, M.M.; MINKU, L.L.; STAHL, F.; BADII, A. . "A Heterogeneous Online Learning Ensemble for Non-stationary Environments", Knowledge-Based Systems, v. 188, January 2020, doi: 10.1016/j.knosys.2019.104983. Paper also available here.

  32. SOBHY, D.; MINKU, L.L.; BAHSOON, R.; CHEN, T.; KAZMAN, R. . "Run-time evaluation of architectures: A case study of diversification in IoT", Journal of Systems and Software, vol. 159, January 2020, doi: 10.1016/j.jss.2019.110428. Paper also available here.

  33. MINKU, L. . "A Novel Online Supervised Hyperparameter Tuning Procedure Applied to Cross-Company Software Effort Estimation", Empirical Software Engineering Journal (EMSE), v. 24, n. 5, p. 3152-3204, October 2019, doi: 10.1007/s10664-019-09686-w. Paper also available here.

  34. SONG, L.; MINKU, L.; YAO, X. . "Software Effort Interval Prediction via Bayesian Inference and Synthetic Bootstrap Resampling", ACM Transactions on Software Engineering and Methodology, v. 28, n. 1, p.5:1-43, January 2019, doi: 10.1145/3295700. Paper also available here.

  35. WANG, S.; MINKU, L.; YAO, X. . "A Systematic Study of Online Class Imbalance Learning with Concept Drift", IEEE Transactions on Neural Networks and Learning Systems, v. 29, n. 10, p. 4802-4821, January 2018, doi: 10.1109/TNNLS.2017.2771290. Also available here.

  36. SHEN, X.; MINKU, L.; MARTURI, N.; GUO, Y.-N.; HAN, Y. . "A Q-learning-based memetic algorithm for multi-objective dynamic software project scheduling", Information Sciences, v. 428, p. 1-29, February 2018, doi: 10.1016/j.ins.2017.10.041. Paper also available here.

  37. KRAWCZYK, B.; MINKU, L.L.; GAMA, J.; STEFANOWSKI, J.; WOZNIAK, M. . "Ensemble Learning for Data Stream Analysis: a survey", Information Fusion, v. 37, p. 132-156, September 2017, doi: 10.1016/j.inffus.2017.02.004. Paper also available here. (>450 citations according to Google Scholar)

  38. MINKU, L.L.; YAO, X. . "Which Models of the Past Are Relevant to the Present? A software effort estimation approach to exploiting useful past models", Automated Software Engineering Journal, v. 24, n. 7, p. 499-542, September 2017, doi: 10.1007/s10515-016-0209-7. Paper also available here. NOTE: Typo in table 1 (replace 5 by 5.6 in the productivity band of ISBSG2000 and 10 by 10.1 in the productivity band of ISBSG). Typo in numberof ISBSG WC projects: should be184 instead of 184.

  39. MINKU, L.L.; MENDES, E.; TURHAN, B. . "Data Mining for Software Engineering and Humans in the Loop", Progress in Artificial Intelligence (PRAI), v. 5, n. 4, p. 307-314, November 2016, doi: 10.1007/s13748-016-0092-2. Paper available as open source here.

  40. CONSOLI, P.A.; MEI, Y.; MINKU, L.L.; YAO, X. . "Dynamic Selection of Evolutionary Operators Based on Online Learning and Fitness Landscape Analysis" Soft Computing, v. 20, n. 10, p. 3889-3914, October 2016, doi: 10.1007/s00500-016-2126-x. Paper also available here.

  41. SHEN, X.-N., MINKU, L.L., BAHSOON, R. and YAO, X. "Dynamic Software Project Scheduling through a Proactive-rescheduling Method", IEEE Transactions on Software Engineering, v.42, n. 7, p. 658-686, July 2016, doi: 10.1109/TSE.2015.2512266. Paper also available here. Appendix available here. (Among 5 most downloaded IEEE TSE papers in July--September 2016)

  42. SUN, Y.; TANG, K.; MINKU, L.L.; WANG, S.; YAO, X. . "Online Ensemble Learning of Data Streams with Gradually Evolved Classes", IEEE Transactions on Knowledge and Data Engineering, v. 28, n. 6, p. 1532-1545, June 2016, doi: 10.1109/TKDE.2016.2526675. Paper also available here.

  43. AZZEH, M.; NASSIF, A.B.; MINKU, L.L. . "An Empirical Evaluation of Ensemble Adjustment Methods for Analogy-Based Effort Estimation", Journal of Systems and Software, Elsevier, v. 103, p. 36-52, May 2015, doi:10.1016/j.jss.2015.01.028.

  44. WANG, S.; MINKU, L. L.; YAO, X. . "Resampling-Based Ensemble Methods for Online Class Imbalance Learning", IEEE Transactions on Knowledge and Data Engineering, IEEE, v. 27, n. 5, p. 1356-1368, May 2015, doi: 10.1109/TKDE.2014.2345380. Paper available via IEEE open access here. (>200 citations according to Google Scholar)

  45. MINKU, L. L.; SUDHOLT, D.; YAO, X. . "Improved Evolutionary Algorithm Design for the Project Scheduling Problem Based on Runtime Analysis", IEEE Transactions on Software Engineering, IEEE, v. 40, n. 1, p. 83-102, January 2014, doi: 10.1109/TSE.2013.52 (2nd most popular TSE article in March 2014 in terms of number of downloads among all TSE papers published online; remained among the 15 most popular until the most recent statistics checked in August 2014). Paper available via IEEE open access here.

  46. WANG, S.; MINKU, L. L.; YAO, X. . "Online Class Imbalance Learning and Its Applications in Fault Detection", International Journal of Computational Intelligence and Applications, Imperial College Press, v. 12, n. 4, article no. 1340001, 19p., December 2013, doi: 10.1142/S1469026813400014. Paper also available here.

  47. MINKU, L. L.; YAO, X. . "Software Effort Estimation as a Multi-objective Learning Problem", ACM Transactions on Software Engineering and Methodology, ACM, v. 22, n. 4, article no. 35, 32p., October 2013, doi: 10.1145/2522920.2522928 (9th most popular TOSEM article in March 2014 in terms of number of downloads among all TSE papers published online). Paper available here (ACM Author-Izer). Link to preprocessed PROMISE data sets used in the study here.

  48. LI, Y.; HU, C.; MINKU, L. L.; ZUO, H. . "Learning Aesthetic Judgements in Evolutionary Art Systems.", Genetic Programming and Evolvable Machines (GENP), Special Issue on Evolutionary Computation in Art, Sound and Music, Springer, v. 14, n. 3, p. 315-337, September 2013, DOI: 10.1007/s10710-013-9188-7.

  49. MINKU, L. L.; YAO, X. . "Ensembles and Locality: Insight on Improving Software Effort Estimation.", Information and Software Technology, Special Issue on Best Papers from PROMISE 2011, Elsevier, v. 55, n. 8, p. 1512-1528, August 2013, doi: 10.1016/j.infsof.2012.09.012. Paper also available here. Link to preprocessed PROMISE data sets used in the study here. (>100 citations according to Google Scholar)

  50. ZLIOBAITE, I.; BIFET, A.; GABER; M.; GABRYS, B.; GAMA, J.; MINKU, L.; MUSIAL, K. . "Next Challenges for Adaptive Learning Systems.", ACM SIGKDD Explorations Newsletter ACM, v. 14, n. 1, p. 48-55., June 2012, doi: 10.1145/2408736.2408746. Paper available here (ACM Author-Izer).

  51. MINKU, L. L.; YAO, X. . "DDD: A New Ensemble Approach For Dealing With Concept Drift.", IEEE Transactions on Knowledge and Data Engineering, IEEE, v. 24, n. 4, p. 619-633, April 2012, doi: 10.1109/TKDE.2011.58. Paper also available here. DDD's prequential accuracy and standard deviation result files here. (>350 citations according to Google Scholar)

  52. ZANCHETTIN, C.; MINKU, L. L.; LUDERMIR, T. B. . "Design of Experiments in Neuro-Fuzzy Systems",  International Journal of Computational Intelligence and Applications (IJCIA), Imperial College Press, v. 9, n. 2, p. 137-152, June 2010, doi: 10.1142/S1469026810002823. Paper also available here.

  53. MINKU, L. L.; WHITE, A. P.; YAO, X. . "The Impact of Diversity on On-line Ensemble Learning in the Presence of Concept Drift.", IEEE Transactions on Knowledge and Data Engineering, IEEE, v. 22, n. 5, p. 730-742, May 2010, doi: 10.1109/TKDE.2009.156 (> 400 citations according to Google Scholar). Paper also available here. Link to data sets here.

  54. TANG, K.; LIN, M.; MINKU, L.; YAO, X. . "Selective Negative Correlation Learning Approach to Incremental Learning", Neurocomputing, v. 72, n.13-15, p. 2796-2805, Elsevier, August 2009, doi: 10.1016/j.neucom.2008.09.022.

  55. MINKU, L.; INOUE, H.; YAO, X. . "Negative Correlation in Incremental Learning", Natural Computing Journal - Special Issue on Nature-inspired Learning and Adaptive Systems, v. 8, n. 2, p. 289-320, Springer, June 2009, doi: 10.1007/s11047-007-9063-7. Paper also available here.

  56. MINKU, L.; LUDERMIR, T. B. . "Clustering and Co-evolution to Construct Neural Network Ensembles: an experimental study"Neural Networks, v. 21, n. 9, p. 1363-1379, Elsevier, November 2008, doi:10.1016/j.neunet.2008.02.001. Paper also available here.

  57. MINKU, L.; POZO, A. T. R.; VERGILIO, S. R. . "Chameleon: uma ferramenta de programacao genetica orientada a gramaticas". Revista Eletronica de Iniciacao Cientifica, v. 3, n. 2, 15p., 2003, ISSN 1519-8219.