Bartosz Krawczyk
Bartosz Krawczyk
Assistant Professor of Computer Science, Virginia Commonwealth University, USA
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TítuloCitado porAño
Learning from imbalanced data: open challenges and future directions
B Krawczyk
Progress in Artificial Intelligence 5 (4), 221-232, 2016
Ensemble learning for data stream analysis: A survey
B Krawczyk, LL Minku, J Gama, J Stefanowski, M Woźniak
Information Fusion 37, 132-156, 2017
Cost-sensitive decision tree ensembles for effective imbalanced classification
B Krawczyk, M Woźniak, G Schaefer
Applied Soft Computing 14, 554-562, 2014
A survey on data preprocessing for data stream mining: Current status and future directions
S Ramírez-Gallego, B Krawczyk, S García, M Woźniak, F Herrera
Neurocomputing 239, 39-57, 2017
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy
B Krawczyk, M Galar, Ł Jeleń, F Herrera
Applied Soft Computing 38, 714-726, 2016
Clustering-based ensembles for one-class classification
B Krawczyk, M Woźniak, B Cyganek
Information Sciences 264, 182-195, 2014
Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets
JA Sáez, B Krawczyk, M Woźniak
Pattern Recognition 57, 164-178, 2016
Diversity measures for one-class classifier ensembles
B Krawczyk, M Woźniak
Neurocomputing 126, 36-44, 2014
Learning from imbalanced data sets
A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera
Springer, 2018
One-class classifier ensemble pruning and weighting with firefly algorithm
B Krawczyk
Neurocomputing 150, 490-500, 2015
One-class classifiers with incremental learning and forgetting for data streams with concept drift
B Krawczyk, M Woźniak
Soft Computing 19 (12), 3387-3400, 2015
Combined classifier based on feature space partitioning
M Woźniak, B Krawczyk
Int. J. Appl. Math. Comput. Sci 22 (4), 855-866, 2012
An ensemble classification approach for melanoma diagnosis
G Schaefer, B Krawczyk, ME Celebi, H Iyatomi
Memetic Computing 6 (4), 233-240, 2014
Improved adaptive splitting and selection: the hybrid training method of a classifier based on a feature space partitioning
K Jackowski, B Krawczyk, M Woźniak
International journal of neural systems 24 (03), 1430007, 2014
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data
Z Zhang, B Krawczyk, S Garcìa, A Rosales-Pérez, F Herrera
Knowledge-Based Systems 106, 251-263, 2016
On the usefulness of one-class classifier ensembles for decomposition of multi-class problems
B Krawczyk, M Woźniak, F Herrera
Pattern Recognition 48 (12), 3969-3982, 2015
A hybrid classifier committee for analysing asymmetry features in breast thermograms
B Krawczyk, G Schaefer
Applied Soft Computing 20, 112-118, 2014
Nearest neighbor classification for high-speed big data streams using spark
S Ramírez-Gallego, B Krawczyk, S García, M Woźniak, JM Benítez, ...
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (10), 2727-2739, 2017
VOCs classification based on the committee of classifiers coupled with single sensor signals
A Szczurek, B Krawczyk, M Maciejewska
Chemometrics and Intelligent Laboratory Systems 125, 1-10, 2013
Cytological image analysis with firefly nuclei detection and hybrid one-class classification decomposition
B Krawczyk, P Filipczuk
Engineering Applications of Artificial Intelligence 31, 126-135, 2014
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Artículos 1–20