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Wieslaw Chmielnicki
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2010 – 2019
- 2016
- [j5]Wieslaw Chmielnicki, Katarzyna Stapor
:
Using the one-versus-rest strategy with samples balancing to improve pairwise coupling classification. Int. J. Appl. Math. Comput. Sci. 26(1): 191 (2016) - [c7]Wieslaw Chmielnicki:
A Novel Classifier Combining Supervised and Unsupervised Learning Methods. ENIC 2016: 232-238 - [c6]Wieslaw Chmielnicki:
Combining k-Nearest Neighbor and Centroid Neighbor Classifier for Fast and Robust Classification. HAIS 2016: 536-548 - 2015
- [c5]Wieslaw Chmielnicki, Katarzyna Stapor
:
Combining One-Versus-One and One-Versus-All Strategies to Improve Multiclass SVM Classifier. CORES 2015: 37-45 - [c4]Wieslaw Chmielnicki:
Creating Effective Error Correcting Output Codes for Multiclass Classification. HAIS 2015: 502-514 - 2012
- [j4]Wieslaw Chmielnicki, Irena Roterman-Konieczna, Katarzyna Stapor
:
An improved protein fold recognition with support vector machines. Expert Syst. J. Knowl. Eng. 29(2): 200-211 (2012) - [j3]Wieslaw Chmielnicki, Katarzyna Stapor
:
A hybrid discriminative/generative approach to protein fold recognition. Neurocomputing 75(1): 194-198 (2012) - 2011
- [j2]Wieslaw Chmielnicki, Katarzyna Stapor:
A combined SVM-RDA classifier for protein fold recognition. Bio Algorithms Med Syst. 7(1): 67-70 (2011) - [c3]Wieslaw Chmielnicki, Katarzyna Stapor
:
An Effective Feature Selection Algorithm Based on the Class Similarity Used with a SVM-RDA Classifier to Protein Fold Recognition. HAIS (2) 2011: 205-212 - [p1]Wieslaw Chmielnicki, Katarzyna Stapor:
A New Approach to Multi-class SVM-Based Classification Using Error Correcting Output Codes. Computer Recognition Systems 4 2011: 499-506 - 2010
- [j1]Wieslaw Chmielnicki, Katarzyna Stapor:
A combined SVM-RDA classifier for protein fold recognition. Bio Algorithms Med Syst. 6(12-S): 51-52 (2010) - [c2]Wieslaw Chmielnicki, Katarzyna Stapor
:
Protein Fold Recognition with Combined SVM-RDA Classifier. HAIS (1) 2010: 162-169 - [c1]Wieslaw Chmielnicki, Katarzyna Stapor
, Irena Roterman-Konieczna:
An Efficient Multi-class Support Vector Machine Classifier for Protein Fold Recognition. IWPACBB 2010: 77-84
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