Combined Bayesian Networks and Rough-Granular Approaches for Discovery of Process Models Based on Vehicular Traffic Simulation. - Mateusz Adamczyk; Pawel Betlinski; Pawel Góra (IPMU (1), 2010)

Markov Blanket Approximation Based on Clustering. - Pawel Betlinski (ISMIS, 2011)

A Role of (Not) Crisp Discernibility in Rough Set Approach to Numeric Feature Selection. - Dominik Slezak; Pawel Betlinski (AMLTA, 2012)

The Problem of Finding the Sparsest Bayesian Network for an Input Data Set is NP-Hard. - Pawel Betlinski; Dominik Slezak (ISMIS, 2012)

Named Entity Matching in Publication Databases - A Case Study of PubMed in SONCA. - Marcin S. Szczuka; Pawel Betlinski; Kamil Herba (RSCTC, 2012)

Semantic Recognition of Digital Documents. - Pawel Betlinski; Pawel Góra; Kamil Herba; Tuan Trung Nguyen; Sebastian Stawicki (Intelligent Tools for Building a Scientific Information Platform, 2012)

Scalable Machine Learning with Granulated Data Summaries: A Case of Feature Selection. - Agnieszka Chadzynska-Krasowska; Pawel Betlinski; Dominik Slezak (ISMIS, 2017)

A new approximate query engine based on intelligent capture and fast transformations of granulated data summaries. - Dominik Slezak; Rick Glick; Pawel Betlinski; Piotr Synak (J. Intell. Inf. Syst., 2018)