Magdalena Deckert
Magdalena Deckert
Poznan University of Technology, Institute of Computing Science
Verified email at cs.put.poznan.pl
Title
Cited by
Cited by
Year
Integrating selective pre-processing of imbalanced data with ivotes ensemble
J Błaszczyński, M Deckert, J Stefanowski, S Wilk
International conference on rough sets and current trends in computing, 148-157, 2010
672010
Batch weighted ensemble for mining data streams with concept drift
M Deckert
International Symposium on Methodologies for Intelligent Systems, 290-299, 2011
232011
Incremental rule-based learners for handling concept drift: an overview
M Deckert
Foundations of Computing and Decision Sciences 38 (1), 35-65, 2013
182013
Ensembles of abstaining classifiers based on rule sets
J Błaszczyński, J Stefanowski, M Zając
International symposium on methodologies for intelligent systems, 382-391, 2009
142009
RILL: algorithm for learning rules from streaming data with concept drift
M Deckert, J Stefanowski
International Symposium on Methodologies for Intelligent Systems, 20-29, 2014
122014
Comparing block ensembles for data streams with concept drift
M Deckert, J Stefanowski
New Trends in Databases and Information Systems, 69-78, 2013
102013
IIvotes ensemble for imbalanced data
J Błaszczyński, M Deckert, J Stefanowski, S Wilk
Intelligent Data Analysis 16 (5), 777-801, 2012
72012
Online batch weighted ensemble for mining data streams with concept drift
M Deckert
W Proceedings of the New Frontiers in Mining Complex Patterns Workshop, ECML†…, 2013
22013
Przyrostowe uczenie reguł oraz wykorzystanie detekcji zmian w blokowych klasyfikatorach złożonych do przetwarzania danych strumieniowych
MA Deckert
2015
Przyrostowe uczenie regu™ oraz wykorzystanie detekcji zmian w blokowych klasyfikatorach z™oĽ onych do przetwarzania danych strumieniowych
M Deckert
ADBIS 2012 Workshops and PhD Consortium program
G Toppin, M Grzegorowski, PW Pardel, S Stawicki, K Stencel, FM Schleif, ...
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