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ORCIDRomesh M. Ranawana
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Journal Articles
- 2006
[j3]Romesh M. Ranawana, Vasile Palade:
Multi-Classifier Systems: Review and a roadmap for developers. Int. J. Hybrid Intell. Syst. 3(1): 35-61 (2006)- 2005
- [j2]Romesh M. Ranawana, Vasile Palade, G. E. M. D. C. Bandara:
Automatic fuzzy rule base generation for on-line handwritten alphanumeric character recognition. Int. J. Knowl. Based Intell. Eng. Syst. 9(4): 327-339 (2005) - [j1]Romesh M. Ranawana, Vasile Palade
:
A neural network based multi-classifier system for gene identification in DNA sequences. Neural Comput. Appl. 14(2): 122-131 (2005)
Conference and Workshop Papers
- 2007
- [c6]Romesh M. Ranawana, Vasile Palade, Daniel Howard:
Genetic Algorithm Approach to Construction of Specialized Multi-Classifier Systems: Application to DNA Analysis. FBIT 2007: 341-346 - 2006
- [c5]Romesh M. Ranawana, Vasile Palade:
Optimized Precision - A New Measure for Classifier Performance Evaluation. IEEE Congress on Evolutionary Computation 2006: 2254-2261 - 2004
- [c4]Romesh M. Ranawana, Vasile Palade, G. E. M. D. C. Bandara:
An Efficient Fuzzy Method for Handwritten Character Recognition. KES 2004: 698-707 - [c3]Romesh M. Ranawana, Vasile Palade:
MultiNNProm: A Multi-Classifier System for Finding Genes. WSC 2004: 451-463 - 2002
- [c2]G. Bamdara, S. D. Pathirana, Romesh M. Ranawana:
Use of Fuzzy Feature Description to Recognize Handwritten Alphanumeric Characters. FSKD 2002: 269-274 - [c1]G. E. M. D. C. Bandara, S. D. Pathirana, Romesh M. Ranawana:
Use of fuzzy feature descriptions to recognize handwritten alphanumeric characters. FUZZ-IEEE 2002: 1586-1591
Parts in Books or Collections
- 2007
- [p2]Romesh M. Ranawana, Vasile Palade:
A Neuro-Genetic Framework for Multi-Classifier Design: An Application to Promoter Recognition in DNA Sequences. Advances in Evolutionary Computing for System Design 2007: 71-94 - 2005
- [p1]G. E. M. D. C. Bandara, Romesh M. Ranawana, S. D. Pathirana:
Use of Fuzzy Feature Descriptions to Recognize Handwritten Alphanumeric Characters. Classification and Clustering for Knowledge Discovery 2005: 209-232
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