Wieslaw Chmielnicki

发表

A Novel Classifier Combining Supervised and Unsupervised Learning Methods

Wieslaw Chmielnicki, 2016, 2016 Third European Network Intelligence Conference (ENIC).

Combining k-Nearest Neighbor and Centroid Neighbor Classifier for Fast and Robust Classification

Wieslaw Chmielnicki, 2016, HAIS.

Using the one–versus–rest strategy with samples balancing to improve pairwise coupling classification

Katarzyna Stapor, Wieslaw Chmielnicki, K. Stapor, 2016, Int. J. Appl. Math. Comput. Sci..

Creating Effective Error Correcting Output Codes for Multiclass Classification

Wieslaw Chmielnicki, 2015, HAIS.

A hybrid discriminative/generative approach to protein fold recognition

Katarzyna Stapor, Wieslaw Chmielnicki, 2012, Neurocomputing.

A New Approach to Multi-class SVM-Based Classification Using Error Correcting Output Codes

Katarzyna Stapor, Wieslaw Chmielnicki, 2011, Computer Recognition Systems 4.

Combining One-Versus-One and One-Versus-All Strategies to Improve Multiclass SVM Classifier

Katarzyna Stapor, Wieslaw Chmielnicki, 2015, CORES.

An improved protein fold recognition with support vector machines

Irena Roterman-Konieczna, Katarzyna Stapor, Wieslaw Chmielnicki, 2012, Expert Syst. J. Knowl. Eng..

An Effective Feature Selection Algorithm Based on the Class Similarity Used with a SVM-RDA Classifier to Protein Fold Recognition

Katarzyna Stapor, Wieslaw Chmielnicki, 2011, HAIS.

An Efficient Multi-class Support Vector Machine Classifier for Protein Fold Recognition

Irena Roterman-Konieczna, Katarzyna Stapor, Wieslaw Chmielnicki, 2010, IWPACBB.

A combined SVM-RDA classifier for protein fold recognition

Katarzyna Stapor, Wieslaw Chmielnicki, 2010, Bio Algorithms Med Syst..

Protein Fold Recognition with Combined SVM-RDA Classifier

Katarzyna Stapor, Wieslaw Chmielnicki, 2010, HAIS.