Argument Based Generalization of MODLEM Rule Induction Algorithm. - Krystyna Napierala; Jerzy Stefanowski (RSCTC, 2010)

Learning from Imbalanced Data in Presence of Noisy and Borderline Examples. - Krystyna Napierala; Jerzy Stefanowski; Szymon Wilk (RSCTC, 2010)

Human Re-identification System on Highly Parallel GPU and CPU Architectures. - Slawomir Bak; Krzysztof Kurowski; Krystyna Napierala (MCSS, 2011)

Efficient Isosurface Extraction Using Marching Tetrahedra and Histogram Pyramids on Multiple GPUs. - Milosz Ciznicki; Michal Kierzynka; Krzysztof Kurowski; Bogdan Ludwiczak; Krystyna Napierala; Jaroslaw Palczynski (PPAM (2), 2011)

Identification of Different Types of Minority Class Examples in Imbalanced Data. - Krystyna Napierala; Jerzy Stefanowski (HAIS (2), 2012)

Modifications of Classification Strategies in Rule Set Based Bagging for Imbalanced Data. - Krystyna Napierala; Jerzy Stefanowski (HAIS (2), 2012)

BRACID: a comprehensive approach to learning rules from imbalanced data. - Krystyna Napierala; Jerzy Stefanowski (J. Intell. Inf. Syst., 2012)

Local Characteristics of Minority Examples in Pre-processing of Imbalanced Data. - Jerzy Stefanowski; Krystyna Napierala; Malgorzata Trzcielinska (ISMIS, 2014)

Addressing imbalanced data with argument based rule learning. - Krystyna Napierala; Jerzy Stefanowski (Expert Syst. Appl., 2015)

Abstaining in rule set bagging for imbalanced data. - Krystyna Napierala; Jerzy Stefanowski (Log. J. IGPL, 2015)

Increasing the Interpretability of Rules Induced from Imbalanced Data by Using Bayesian Confirmation Measures. - Krystyna Napierala; Jerzy Stefanowski; Izabela Szczech (NFMCP@PKDD/ECML, 2016)

A Jamming-Resilient MAC-layer Device Identification for Internet of Things. - Przemyslaw Blaskiewicz; Jacek Cichon; Jakub Lemiesz; Miroslaw Kutylowski; Marcin Zawada; Krystyna Napierala; Michal Panek; Stanislaw Strzyz (CoRR, 2016)

Post-processing of BRACID Rules Induced from Imbalanced Data. - Krystyna Napierala; Jerzy Stefanowski (Fundam. Informaticae, 2016)

Types of minority class examples and their influence on learning classifiers from imbalanced data. - Krystyna Napierala; Jerzy Stefanowski (J. Intell. Inf. Syst., 2016)

Evaluating Difficulty of Multi-class Imbalanced Data. - Mateusz Lango; Krystyna Napierala; Jerzy Stefanowski (ISMIS, 2017)