Leandro L. Minku's Refereed Conference Papers


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  1. MINKU, L. "On the Terms Within- and Cross-Company in Software Effort Estimation", Proceedings of the 12th International Conference on Predictive Models and Data Analytics in Software Engineering, September 2016. DOI: 10.1145/2972958.2972968. Paper available here.

  2. SOBHY, D.; BAHSOON, R.; MINKU, L.; KAZMAN, R. "Diversifying Software Architecture for Sustainability: A Value-based Perspective", Proceedings of the 10th European Conference on Software Architecture (ECSA), November 2016. Paper available here.

  3. WU, X.; CONSOLI, P.; MINKU, L.L.; OCHOA, G.; YAO, X. "An Evolutionary Hyper-Heuristic for the Software Project Scheduling Problem", Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN'16), September 2016. Paper available here.

  4. WANG, S.; MINKU, L.L.; YAO, X. "Dealing with Multiple Classes in Online Class Imbalance Learning", Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), p. 2118--2124, July 2016. Paper available here. (acceptance rate: 24%)

  5. CAVALCANTE, R.; MINKU, L.L.; OLIVEIRA, A. "FEDD: Feature Extraction for Explicit Concept Drift Detection in Time Series" Proceedings of the 2016 IEEE International Joing Conference on Neural Networks (IJCNN'16), June 2016 (accepted). Paper also available here.

  6. MINKU, L.L.; SARRO, F.; MENDES, E.; FERRUCCI, F.; "How to Make Best Use of Cross-Company Data for Web Effort Estimation?" Proceedings of the 9th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM'15), p. 172--181, October 2015 (best paper award; acceptance rate 25%). Paper also available here and here.

  7. DU, X.; NI, Y.; YE, P.; YAO, X.; MINKU, L.; XIAO, R.; "An Evolutionary Algorithm for Performance Optimization at Software Architecture Level", Proceedings of the 2015 IEEE Congress on Evolutionary Computation (CEC'15), 8p., May 2015 (accepted). Paper also available here.

  8. MURWANTARA, I M.; BORDBAR, B.; MINKU, L. L.; "Measuring Energy Consumption for Web Service Product Configuration", Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services (iiWAS'14), p. 224--228, December 2014, doi 10.1145/2684200.2684314 . Paper also available here.

  9. CONSOLI, P; MINKU, L. L.; YAO, X.; "Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics", Proceedings of the 10th International Conference on Simulated Evolution And Learning (SEAL'14), Lecture Notes in Computer Science Volume 8886, p. 359--370, December 2014, doi 10.1007/978-3-319-13563-2_31. Paper also available here.

  10. SONG, L; MINKU, L. L.; YAO, X.; "The Potential Benefit of Relevance Vector Machine to Software Effort Estimation", Proceedings of the 10th International Conference on Predictive Models in Software Engineering (PROMISE'14), p. 52--61, September 2014. Paper available via ACM open access here.

  11. HARMAN, M.; ISLAM, S.; JIA, Y.; MINKU, L.; SARRO, F.; SRIVISUT, K.; "Less is More: Temporal fault predictive performance over multiple Hadoop releases", Symposium on Search-Based Software Engineering (SSBSE'14), Lecture Notes in Computer Science Volume 8636, p. 240-246, August 2014. Paper also available here.

  12. MINKU, L. L.; YAO, X.; "How to Make Best Use of Cross-company Data in Software Effort Estimation?", Proceedings of the 36th International Conference on Software Engineering (ICSE'14), p. 446-456, May 2014, doi: 10.1145/2568225.2568228. Paper available via ACM open access here. Paper also available here. Presentation available here. (acceptance rate: 20%)

  13. WANG, S.; MINKU, L. L.; YAO, X.; "A Multi-Objective Ensemble Method for Online Class Imbalance Learning", Proceedings of the 2014 International Joint Conference on Neural Networks (IJCNN'14), p. 3311-3318p., 2014.
  14. SONG, L.; MINKU, L. L.; YAO, X.; "The Impact of Parameter Tuning on Software Effort Estimation Using Learning Machines", Proceedings of the 9th International Conference on Predictive Models in Software Engineering (PROMISE'13), 10p., October 2013, doi: 10.1145/2499393.2499394. Paper also available here.

  15. MINKU, L. L.; YAO, X.; "An Analysis of Multi-objective Evolutionary Algorithms for Training Ensemble Models Based on Different Performance Measures in Software Effort Estimation", Proceedings of the 9th International Conference on Predictive Models in Software Engineering (PROMISE'13), 10p., October 2013, doi: 10.1145/2499393.2499396. Paper also available here. Presentation available here. Link to preprocessed PROMISE data sets used in the study here.

  16. WANG, S.; MINKU, L.; GHEZZI, D.; CALTABIANO, D.; TINO, P.; YAO, X. . "Concept Drift Detection for Online Class Imbalance Learning", Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN), 10 pages, August 2013, doi: 10.1109/IJCNN.2013.6706768. Paper also available here.

  17. WANG, S.; MINKU, L.; YAO, X. . "A Learning Framework for Online Class Imbalance Learning",  IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL), at IEEE Symposium Series on Computational Intelligence (SSCI), p. 36-45, Singapore, April 2013, doi: 10.1109/CIEL.2013.6613138 (best paper nomination). Paper also available here.

  18. MINKU, L.; YAO, X. . "Can Cross-company Data Improve Performance in Software Effort Estimation?", Proceedings of the 8th International Conference on Predictive Models in Software Engineering (PROMISE'2012), p. 69-78, Lund, Sweden, September 2012, doi: 10.1145/2365324.2365334. Paper also available here.

  19. MINKU, L.; SUDHOLT, D.; YAO, X. . "Evolutionary algorithms for the project scheduling problem: runtime analysis and improved design" , Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2012), p. 1221-1228, Philadelphia, July 2012, doi: 10.1145/2330163.2330332 (best paper nomination). Paper available here (ACM Author-Izer). Paper also available here

  20. MINKU, L.; YAO, X. . "Using Unreliable Data for Creating More Reliable Online Learners", Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN'2012), p. 2492-2499, Brisbane, Australia, June 2012, doi: 10.1109/IJCNN.2012.6252711. Paper also available here.

  21. MINKU, L.; YAO, X. . "A Principled Evaluation of Ensembles of Learning Machines for Software Effort Estimation", Proceedings of the 7th International Conference on Predictive Models in Software Engineering (PROMISE'2011), 10p., Banff, Canada, September 2011, doi: 10.1145/2020390.2020399 (Selected as one of the three best papers). Paper available here (ACM Author-Izer). Paper also available here. Presentation available here. Link to preprocessed PROMISE data sets used in the study here.

  22. MINKU, L.; YAO, X. . "Using Diversity to Handle Concept Drift in On-line Learning", Proceedings of the International Joint Conference on Neural Networks (IJCNN'2009), p. 2125-2132, Atlanta, June 2009, doi: 10.1109/IJCNN.2009.5179008.

  23. MINKU, L.; YAO, X. . "On-line Bagging Negative Correlation Learning", Proceedings of the International Joint Conference on Neural Networks (IJCNN'2008), Part III, p. 1375-1382, Hong Kong, June 2008, doi: 10.1109/IJCNN.2008.4633977. Paper also available here.

  24. MINKU, L.; LUDERMIR, T. B. . "EFuNN Ensembles Construction Using a Clustering Method and a Coevolutionary Multi-Objective Genetic Algorithm", Proceedings of the 3th International Conference on Neural Information Processing (ICONIP'2006), Part III, Lecture Notes in Computer Science 4234, p. 884-891, Hong Kong, October 2006, doi: 10.1007/11893295_97. Paper also available here

  25. MINKU, L.; LUDERMIR, T. B. . "EFuNN Ensembles Construction Using CONE with Multi-objective GA", Proceedings of the IX Brazilian Neural Networks Symposium (SBRN'2006), p. 48-53, Ribeirao Preto, Brazil, October 2006, doi: 10.1109/SBRN.2006.16.  Paper also available here.

  26. MINKU, L.; LUDERMIR, T. B. . "EFuNNs Ensembles Construction Using a Clustering Method and a Coevolutionary Genetic Algorithm", Proceedings of the 2006 IEEE Congress on Evolutionary Computation (CEC'2006), p. 1399-1406, Vancouver, Canada, July 2006, doi: 10.1109/CEC.2006.1688472. Paper also available here

  27. ZANCHETTIN, C.; MINKU, L.; LUDERMIR, T. B. . "Design of Experiments in Neuro-Fuzzy Systems", Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS'2005), 6p., Rio de Janeiro, Brazil, November 2005, doi: 10.1109/ICHIS.2005.34. Extended IJCIA version here.

  28. MINKU, L.; LUDERMIR, T. B. . "Estrategia Evolucionaria e Algoritmos Geneticos para Otimizacao Dinamica de Parametros de EFuNNs.", In:  VII Congresso Brasileiro de Redes Neurais (CBRN'2005), 6p., Natal, Rio Grande do Norte, Brazil, October 2005. (in Portuguese)

  29. MINKU, L.; LUDERMIR, T. B. . "Evolutionary Strategies and Genetic Algorithms for Dynamic Parameter Optimization of Evolving Fuzzy Neural Networks", Proceedings of the 2005 IEEE Congress on Evolutionary Computation (CEC'2005), v. 3, p. 1951-1958, Edinburgh, Scotland, September 2005, doi: 10.1109/CEC.2005.1554934. Paper also available here

  30. MINKU, L.; LUDERMIR, T. B.; ARAUJO, A. F. R. . "Computacao Evolucionaria para otimizacao dinamica de parametros de EFuNNs", In: V Encontro Nacional de Inteligencia Artificial (ENIA'2005), p. 612-621, Sao Leopoldo, Rio Grande do Sul, Brazil, July 2005. Paper also available here. (in Portuguese)