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Pawel Betlinski
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2010 – 2019
- 2018
- [j1]Dominik Slezak
, Rick Glick, Pawel Betlinski, Piotr Synak:
A new approximate query engine based on intelligent capture and fast transformations of granulated data summaries. J. Intell. Inf. Syst. 50(2): 385-414 (2018) - 2017
- [c6]Agnieszka Chadzynska-Krasowska, Pawel Betlinski, Dominik Slezak
Scalable Machine Learning with Granulated Data Summaries: A Case of Feature Selection. ISMIS 2017: 519-529 - 2012
- [c5]Dominik Slezak, Pawel Betlinski:
A Role of (Not) Crisp Discernibility in Rough Set Approach to Numeric Feature Selection. AMLTA 2012: 13-23 - [c4]Pawel Betlinski, Dominik Slezak:
The Problem of Finding the Sparsest Bayesian Network for an Input Data Set is NP-Hard. ISMIS 2012: 21-30 - [c3]Marcin S. Szczuka, Pawel Betlinski, Kamil Herba:
Named Entity Matching in Publication Databases - A Case Study of PubMed in SONCA. RSCTC 2012: 172-179 - [p1]Pawel Betlinski, Pawel Góra, Kamil Herba, Tuan Trung Nguyen, Sebastian Stawicki:
Semantic Recognition of Digital Documents. Intelligent Tools for Building a Scientific Information Platform 2012: 97-106 - 2011
- [c2]Pawel Betlinski:
Markov Blanket Approximation Based on Clustering. ISMIS 2011: 192-202 - 2010
- [c1]Mateusz Adamczyk, Pawel Betlinski, Pawel Góra:
Combined Bayesian Networks and Rough-Granular Approaches for Discovery of Process Models Based on Vehicular Traffic Simulation. IPMU (1) 2010: 278-287
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