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Leandro L. Minku
2010 – today
- 2013
[j6]Yang Li, Changjun Hu, Leandro L. Minku, Haolei Zuo: Learning aesthetic judgements in evolutionary art systems. Genetic Programming and Evolvable Machines 14(3): 315-337 (2013)
[j5]Leandro L. Minku, Xin Yao: Ensembles and locality: Insight on improving software effort estimation. Information & Software Technology 55(8): 1512-1528 (2013)
[c5]Tim Menzies, Ekrem Kocaguneli, Fayola Peters, Burak Turhan, Leandro L. Minku: Data science for software engineering. ICSE 2013: 1484-1486- 2012
[j4]Indre Zliobaite, Albert Bifet, Mohamed Medhat Gaber, Bogdan Gabrys, Joao Gama, Leandro L. Minku, Katarzyna Musial: Next challenges for adaptive learning systems. SIGKDD Explorations 14(1): 48-55 (2012)
[j3]Leandro L. Minku, Xin Yao: DDD: A New Ensemble Approach for Dealing with Concept Drift. IEEE Trans. Knowl. Data Eng. 24(4): 619-633 (2012)
[c4]Leandro L. Minku, Dirk Sudholt, Xin Yao: Evolutionary algorithms for the project scheduling problem: runtime analysis and improved design. GECCO 2012: 1221-1228
[c3]Leandro L. Minku, Xin Yao: Using unreliable data for creating more reliable online learners. IJCNN 2012: 1-8
[c2]Leandro L. Minku, Xin Yao: Can cross-company data improve performance in software effort estimation? PROMISE 2012: 69-78- 2011
[c1]Leandro L. Minku, Xin Yao: A principled evaluation of ensembles of learning machines for software effort estimation. PROMISE 2011: 9- 2010
[j2]Cleber Zanchettin, Leandro L. Minku, Teresa Bernarda Ludermir: Design of Experiments in Neuro-Fuzzy Systems. International Journal of Computational Intelligence and Applications 9(2): 137-152 (2010)
[j1]Leandro L. Minku, Allan P. White, Xin Yao: The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift. IEEE Trans. Knowl. Data Eng. 22(5): 730-742 (2010)
Coauthor Index
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last updated on 2013-06-18 22:40 CEST by the dblp team



