Protein Fold Recognition with Combined SVM-RDA Classifier. - Wieslaw Chmielnicki; Katarzyna Stapor (HAIS (1), 2010)

An Efficient Multi-class Support Vector Machine Classifier for Protein Fold Recognition. - Wieslaw Chmielnicki; Katarzyna Stapor; Irena Roterman-Konieczna (IWPACBB, 2010)

A combined SVM-RDA classifier for protein fold recognition. - Wieslaw Chmielnicki; Katarzyna Stapor (Bio Algorithms Med Syst., 2010)

An Effective Feature Selection Algorithm Based on the Class Similarity Used with a SVM-RDA Classifier to Protein Fold Recognition. - Wieslaw Chmielnicki; Katarzyna Stapor (HAIS (2), 2011)

A New Approach to Multi-class SVM-Based Classification Using Error Correcting Output Codes. - Wieslaw Chmielnicki; Katarzyna Stapor (Computer Recognition Systems 4, 2011)

An improved protein fold recognition with support vector machines. - Wieslaw Chmielnicki; Irena Roterman-Konieczna; Katarzyna Stapor (Expert Syst. J. Knowl. Eng., 2012)

A hybrid discriminative/generative approach to protein fold recognition. - Wieslaw Chmielnicki; Katarzyna Stapor (Neurocomputing, 2012)

Combining One-Versus-One and One-Versus-All Strategies to Improve Multiclass SVM Classifier. - Wieslaw Chmielnicki; Katarzyna Stapor (CORES, 2015)

Creating Effective Error Correcting Output Codes for Multiclass Classification. - Wieslaw Chmielnicki (HAIS, 2015)

A Novel Classifier Combining Supervised and Unsupervised Learning Methods. - Wieslaw Chmielnicki (ENIC, 2016)

Combining k-Nearest Neighbor and Centroid Neighbor Classifier for Fast and Robust Classification. - Wieslaw Chmielnicki (HAIS, 2016)

Using the one-versus-rest strategy with samples balancing to improve pairwise coupling classification. - Wieslaw Chmielnicki; Katarzyna Stapor (Int. J. Appl. Math. Comput. Sci., 2016)