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Sebastian Widz
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2010 – 2019
- 2017
- [j1]Sebastian Stawicki, Dominik Slezak, Andrzej Janusz, Sebastian Widz:
Decision bireducts and decision reducts - a comparison. Int. J. Approx. Reason. 84: 75-109 (2017) - [c12]Sebastian Widz
:
Introducing NRough Framework. IJCRS (1) 2017: 669-689 - 2016
- [c11]Sebastian Widz, Sebastian Stawicki:
Generalized Majority Decision Reducts. FedCSIS 2016: 165-174 - 2014
- [c10]Sebastian Widz
, Dominik Slezak:
Attribute Subset Quality Functions over a Universe of Weighted Objects. RSEISP 2014: 99-110 - 2013
- [c9]Sebastian Widz
, Dominik Slezak:
Granular Attribute Selection: A Case Study of Rough Set Approach to MRI Segmentation. PReMI 2013: 47-52 - 2012
- [c8]Sebastian Stawicki, Sebastian Widz:
Decision Bireducts and Approximate Decision Reducts: Comparison of Two Approaches to Attribute Subset Ensemble Construction. FedCSIS 2012: 331-338 - 2011
- [c7]Dominik Slezak, Sebastian Widz
:
Rough-Set-Inspired Feature Subset Selection, Classifier Construction, and Rule Aggregation. RSKT 2011: 81-88 - 2010
- [c6]Dominik Slezak, Sebastian Widz
:
Evolutionary inspired optimization of feature subset ensembles. NaBIC 2010: 437-442 - [c5]Dominik Slezak, Sebastian Widz
:
Is It Important Which Rough-Set-Based Classifier Extraction and Voting Criteria Are Applied Together? RSCTC 2010: 187-196
2000 – 2009
- 2007
- [c4]Sebastian Widz
, Dominik Slezak:
Approximation Degrees in Decision Reduct-Based MRI Segmentation. FBIT 2007: 431-436 - 2005
- [c3]Sebastian Widz
, Kenneth Revett, Dominik Slezak:
A Rough Set-Based Magnetic Resonance Imaging Partial Volume Detection System. PReMI 2005: 756-761 - [c2]Sebastian Widz
, Kenneth Revett, Dominik Slezak:
A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts. RSFDGrC (2) 2005: 372-382 - 2004
- [c1]Sebastian Widz, Kenneth Revett, Dominik Slezak:
An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts. Rough Sets and Current Trends in Computing 2004: 815-824
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