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

1394 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

234 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

220 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

217 downloads
How to make best use of cross-company data in software effort estimation?
Leandro Minku & Xin Yao, May 2014, ICSE '14 : 36th International Conference on Software Engineering Proceedings. Association for Computing Machinery , p. 446-456

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

204 downloads

Recent publications

A diversity framework for dealing with multiple types of concept drift based on clustering in the model space
Chun Wai Chiu & Leandro Minku, 25 Nov 2020, (Accepted/In press) In: IEEE Transactions on Neural Networks and Learning Systems.

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

AUC estimation and concept drift detection for imbalanced data streams with multiple classes
Shuo Wang & Leandro Minku, 28 Sep 2020, Proceedings of the International Joint Conference on Neural Networks (IJCNN), World Congress on Computational Intelligence, 2020. IEEE Computer Society Press, 8 p. 9207377. (Proceedings of International Joint Conference on Neural Networks).

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

Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds
Leandro Minku, Xin Yao, 18 Sep 2020, (Accepted/In press) IEEE Symposium Series on Computational Intelligence (SSCI 2020) - Proceedings. IEEE Computer Society Press, 9 p.

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

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