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

1309 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

201 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

189 downloads
How to make best use of cross-company data in software effort estimation?
Leandro Minku & Xin Yao, 2014, ICSE '14 : 36th International Conference on Software Engineering Proceedings. Association for Computing Machinery

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

171 downloads
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation
Leandro Minku, 1 May 2015, In : Journal of Systems and Software. 103, p. 36-52 17 p.

Research output: Contribution to journal › Article

166 downloads

Recent publications

Better software analytics via “DUO”: data mining algorithms using/used-by optimizers
Leandro Minku, May 2020, In : Empirical Software Engineering. 25, p. 2099–2136 38 p.

Research output: Contribution to journal › Article

AUC estimation and concept drift detection for imbalanced data streams with multiple classes
Shuo Wang & Leandro Minku, 20 Mar 2020, (Accepted/In press) Proceedings of the International Joint Conference on Neural Networks (IJCNN), World Congress on Computational Intelligence, 2020. IEEE Computer Society Press, 8 p.

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

Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-Objective Optimisation
Leandro Minku & Xin Yao, 20 Mar 2020, (Accepted/In press) 2020 IEEE Congress on Evolutionary Computation (IEE CEC 2020). IEEE Computer Society Press, 8 p.

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

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