Author of the publication

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

, , and . IWPACBB, volume 74 of Advances in Intelligent and Soft Computing, page 77-84. Springer, (2010)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

A combined SVM-RDA classifier for protein fold recognition., and . Bio-Algorithms and Med-Systems, 6 (12-S): 51-52 (2010)Using the one-versus-rest strategy with samples balancing to improve pairwise coupling classification., and . Int. J. Appl. Math. Comput. Sci., 26 (1): 191 (2016)An Effective Feature Selection Algorithm Based on the Class Similarity Used with a SVM-RDA Classifier to Protein Fold Recognition., and . HAIS (2), volume 6679 of Lecture Notes in Computer Science, page 205-212. Springer, (2011)Protein Fold Recognition with Combined SVM-RDA Classifier., and . HAIS (1), volume 6076 of Lecture Notes in Computer Science, page 162-169. Springer, (2010)Creating Effective Error Correcting Output Codes for Multiclass Classification.. HAIS, volume 9121 of Lecture Notes in Computer Science, page 502-514. Springer, (2015)An improved protein fold recognition with support vector machines., , and . Expert Syst. J. Knowl. Eng., 29 (2): 200-211 (2012)Combining k-Nearest Neighbor and Centroid Neighbor Classifier for Fast and Robust Classification.. HAIS, volume 9648 of Lecture Notes in Computer Science, page 536-548. Springer, (2016)A New Approach to Multi-class SVM-Based Classification Using Error Correcting Output Codes., and . Computer Recognition Systems 4, volume 95 of Advances in Intelligent and Soft Computing, Springer, (2011)A combined SVM-RDA classifier for protein fold recognition., and . Bio-Algorithms and Med-Systems, 7 (1): 67-70 (2011)A Novel Classifier Combining Supervised and Unsupervised Learning Methods.. ENIC, page 232-238. IEEE Computer Society, (2016)