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 | 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 |
| 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 |
| 1 | Kenneth Revett | |
| 2 | Dominik Slezak | |
| 3 | Sebastian Stawicki |
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