The Method for Describing Changes in the Perception of Stenosis in Blood Vessels Caused by an Additional Drug. - Sylwia Buregwa-Czuma; Jan G. Bazan; Lech Zareba; Stanislawa Bazan-Socha; Przemyslaw Wiktor Pardel; Barbara Sokolowska; Lukasz Dydo (CS&P, 2015)

The Method for Describing Changes in the Perception of Stenosis in Blood Vessels Caused by an Additional Drug. - Sylwia Buregwa-Czuma; Jan G. Bazan; Lech Zareba; Stanislawa Bazan-Socha; Barbara Rewerska; Przemyslaw Wiktor Pardel; Lukasz Dydo (Fundam. Informaticae, 2016)

Application of interval-valued aggregation to optimization problem of k-NN classifiers for missing values case. - Urszula Bentkowska; Jan G. Bazan; Wojciech Rzasa; Lech Zareba (Inf. Sci., 2019)

A new method of building a more effective ensemble classifiers. - Jan G. Bazan; Pawel Drygas; Lech Zareba; Piotr Molenda (FUZZ-IEEE, 2020)

Multi-class classification problems for the k-NN algorithm in the case of missing values. - Urszula Bentkowska; Jan G. Bazan; Marcin Mrukowicz; Lech Zareba; Piotr Molenda (FUZZ-IEEE, 2020)

Comparison of aggregation classes in ensemble classifiers for high dimensional datasets. - Jan G. Bazan; Stanislawa Bazan-Socha; Urszula Bentkowska; Wojciech Galka; Marcin Mrukowicz; Lech Zareba (FUZZ-IEEE, 2022)

Interval modelling in optimization of k- N N classifiers for large number of attributes in data sets on an example of DNA microarrays. - Urszula Bentkowska; Jan G. Bazan; Lech Zareba; Jerzy Socha; Stanislawa Bazan-Socha; Marcin Mrukowicz (Int. J. Intell. Syst., 2022)

Early detection of the risk of depressive episodes using a proprietary diagnostic test by new epistemic similarity measures. - Barbara Pekala; Katarzyna Garwol; Janusz Czuma; Dawid Kosior; Lech Zareba; Marcin Chyla (Appl. Soft Comput., 2023)

Aggregation-Based Ensemble Classifier Versus Neural Networks Models for Recognizing Phishing Attacks. - Wojciech Galka; Jan G. Bazan; Urszula Bentkowska; Kamil Szwed; Marcin Mrukowicz; Pawel Drygas; Lech Zareba; Marcin Szpyrka; Piotr Suszalski; Sebastian Obara (IEEE Access, 2025)