Leandro Minku

ORCID: 0000-0002-2639-0671

Colleges, School and Institutes

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Most downloaded publications

Online ensemble learning of data streams with gradually evolved classes
Leandro Minku, Shuo Wang & Xin Yao, 1 Jun 2016, In: IEEE Transactions on Knowledge and Data Engineering. 28, 6, p. 1532-1545

Research output: Contribution to journal › Article › peer-review

1376 downloads
Dynamic Software Project Scheduling through a Proactive-rescheduling Method
Leandro Minku, Rami Bahsoon & Xin Yao, 1 Jul 2016, In: IEEE Transactions on Software Engineering. 42, 7, p. 658 - 686

Research output: Contribution to journal › Article › peer-review

221 downloads
Resampling-based ensemble methods for online class imbalance learning
Shuo Wang, Leandro Minku & Xin Yao, 1 May 2015, In: IEEE Transactions on Knowledge and Data Engineering. 27, 5, p. 1356 - 1368

Research output: Contribution to journal › Article › peer-review

173 downloads
Improved evolutionary algorithm design for the project scheduling problem based on runtime analysis
Leandro Minku, Dirk Sudholt & Xin Yao, 1 Jan 2014, In: IEEE Transactions on Software Engineering. 40, 1, p. 83-102

Research output: Contribution to journal › Article › peer-review

166 downloads
Are 20% of files responsible for 80% of defects?
Leandro Minku, 11 Oct 2018, Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM '18 ). New York, NY: ACM/IEEE, p. 2.1-2.10 10 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

163 downloads

Recent publications

Tackling virtual and real concept drifts: an adaptive Gaussian mixture model approach
Leandro Minku & , 29 Jul 2021, (E-pub ahead of print) In: IEEE Transactions on Knowledge and Data Engineering.

Research output: Contribution to journal › Article › peer-review

Multi-stream online transfer learning for software effort estimation - is it necessary?
Leandro Minku, 2 Jul 2021, (Accepted/In press) PROMISE 2021: Proceedings of the 17th ACM International Conference on Predictive Models and Data Analytics in Software Engineering. Association for Computing Machinery (ACM), (PROMISE: Predictor Models in Software Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Evaluation of software architectures under uncertainty: a systematic literature review
Rami Bahsoon, Leandro Minku & , 29 Apr 2021, (Accepted/In press) In: ACM Transactions on Software Engineering and Methodology.

Research output: Contribution to journal › Article › peer-review

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