Krawczyk, Bartosz

Learning from imbalanced data: open challenges and future directions

Krawczyk, B. (2016) · Progress in Artificial Intelligence

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 2,459

Learning from Imbalanced Data Sets

Fernández, A., García, S., Galar, M., Prati, R. C., Krawczyk, B., & Herrera, F. (2018) · Springer eBooks

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 1,349

Ensemble learning for data stream analysis: A survey

Krawczyk, B., Minku, L. L., Gama, J., Stefanowski, J., & Woźniak, M. (2017) · Information Fusion

Data Stream Mining TechniquesMachine Learning and ELM

Cited by 1,050

A survey on data preprocessing for data stream mining: Current status and future directions

Ramírez-Gallego, S., Krawczyk, B., García, S., Woźniak, M., & Herrera, F. (2017) · Neurocomputing

Data Stream Mining TechniquesAdvanced Database Systems and Queries

Cited by 502

Uniqueness of Medical Data Mining: How the new technologies and data they generate are transforming medicine

Cios, K. J., Krawczyk, B., Cios, J., & Staley, K. J. (2019) · arXiv

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 9