Articles in Journals
1. R. K. De, N. R. Pal, and S. K. Pal, "Feature analysis: Neural network and fuzzy set theoretic approaches", Pattern Recognition, vol. 30, pp. 1579-1590, 1997.
2. S. Mitra, R. K. De, and S. K. Pal, "Knowledge-based fuzzy MLP for classification and rule generation", IEEE Trans. on Neural Networks, vol. 8, pp. 1338-1350, 1997.
3. S. K. Pal, J. Basak, and R. K. De, "Fuzzy feature evaluation index and connectionist realization", Information Sciences, vol. 105, pp. 173-188, 1998.
4. J. Basak, R. K. De, and S. K. Pal, "Fuzzy feature evaluation index and connectionist realization-II: Theoretical analysis", Information Sciences, vol. 111, pp. 1-17, 1998.
5. J. Basak, R. K. De, and S. K. Pal, "Unsupervised feature selection using neuro-fuzzy approach", Pattern Recognition Letters, vol. 19, pp. 997-1006, 1998.
6. R. K. De, J. Basak, and S. K. Pal, "Neuro-fuzzy feature evaluation with theoretical analysis", Neural Networks, vol. 12, pp. 1429-1455, 1999.
7. S. K. Pal, R. K. De, and J. Basak, "Unsupervised feature evaluation: A neuro-fuzzy approach", IEEE Trans. on Neural Networks, vol. 11, pp. 366-376, 2000.
8. R. K. De and S. K. Pal, "Pattern classification using fuzzy sets and neural nets: A case based approach", International Journal of Engineering Intelligent Systems, vol. 8, pp. 103-108, 2000.
9. R. K. De and S. K. Pal, "A connectionist model for selection of cases", Information Sciences, vol. 132, pp. 179-194, 2001.
10. R. K. De, J. Basak, and S. K. Pal, "Unsupervised feature extraction using neuro-fuzzy approach", Fuzzy Sets and Systems, vol. 126, pp. 277-291, 2002.
11. M. Acharyya, R. K. De, and M. K. Kundu, "Extraction of features using M-band wavelet packet frame and their neuro-fuzzy evaluation for multi-texture segmentation", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 25, pp. 1639-1644, 2003.
12. M. Acharyya, R. K. De, and M. K. Kundu, "Segmentation of remotely sensed images using wavelet features and their evaluation in soft computing framework", IEEE Trans. on Geoscience and Remote Sensing, vol. 41, pp. 2900-2905, 2003.
13. M. K. Pakhira and R. K. De, "Generational pipelined genetic algorithm (PLGA) using stochastic selection", International Journal of Computer Systems Science and Engineering, vol. 1, no. 1, pp. 75-88, 2007, http://www.waset.org/ijcsse/current.html.
14. L. Nayak and R. K. De, "An algorithm for modularization of MAPK and Calcium signaling pathways: Comparative analysis among different species", Journal of Biomedical Informatics (Special Issue on Intelligent Data Analysis on Biomedicine), vol. 40, pp. 726-749, 2007.
15. L. Nayak and R. K. De, "Modularized study of human calcium signaling pathway", Journal of Biosciences, vol. 32, no. 5, pp. 1009-1017, 2007.
16. A. Bhattacharya and R. K. De, "Clustering on gene expression and fold values: Identification of some possible genes mediating allergic asthma", International Journal of Computational Cognition. (to appear)
17. A. Bhattacharya and R. K. De, "Divisive correlation clustering algorithm (DCCA) for grouping of genes: Detecting varying patterns in expression profiles", Bioinformatics. (accepted)
Articles in Conference Proceedings
18. R. K. De, S. Mitra, and S. K. Pal, "Knowledge-based fuzzy MLP for pattern classification", in Proc. Sixth International Fuzzy Systems Association World Congress, (Sao Paulo, Brazil), vol. II, pp. 237-240, 1995.
19. R. K. De, S. Mitra, and S. K. Pal, "Neuro-fuzzy knowledge-based system for rule generation", in Proc. Indian Conference on Pattern Recognition, Image Processing and Computer Vision (ICPIC'95), (Kharagpur, India), pp. 130-134, 1995.
20. S. K. Pal, J. Basak, and R. K. De, "Feature selection: A neuro-fuzzy approach", in Proc. International Conference on Neural Networks (ICNN'96), (Washington, DC, U.S.A.), pp. 1197-1202, 1996.
21. J. Basak, R. K. De, and S. K. Pal, "Unsupervised neuro-fuzzy feature selection", in Proc. 1998 IEEE International Joint Conference on Neural Networks IJCNN'98, (Anchorage, U.S.A.), pp. 18-23, 1998.
22.R. K. De, J. Basak, and S. K. Pal, "Unsupervised neuro-fuzzy feature extraction", in Proc. 5th International Conference on Soft Computing IIZUKA'98, (Iizuka, Japan), pp. 577-580, 1998.
23. R. K. De and S. K. Pal, "Case-based classification using fuzziness and neural networks", in Proc. Colloquium on Knowledge Discovery and Data Mining, (London, U.K.), 1998.
24. M. K. Pakhira, R. K. De, S. Bandyopadhyay, and U. Maulik, "Pipelined Processing of Genetic Clustering", in Proceedings of the International Conference on Intelligence Sensing and Information Processing, (Chennai, India) pp. 25-28, 2004.
25. M. K. Pakhira and R. K. De, "Function optimization using a pipelined genetic algorithm", in Proceedings International Conference on Intelligent Sensors, Sensor Networks and Information Processings, (Melbourne, Australia), IEEE Press, pp. 253-258, December 14-17, 2004.
23. M. K. Pakhira and R. K. De, "A hardware pipeline for function optimization using genetic algorithms", in Proc. Genetic and Evolutionary Computation Conference (GECCO-2005), (Washington D. C., USA), June 25-29, 2005, pp. 949-956.
24. R. K. De and A. Bhattacharya, "Identification of over and under expressed genes mediating allergic asthma", in Proc. IEA/AIE 2006 conference held in Annecy, France, during June 27-30, 2006. Lecture Notes in Computer Science, vol. 4031, pp. 943-952, 2006.
25. R. K. De and K. Biswas, "Connectionist modeling of dynamic of gene expression and reverse engineering gene regulatory networks", Proc. 2006 International Joint Conference on Neural Networks, Vancouver, BC, Canada, July 16-21, 2006, pp. 7503-7509.
Articles in Edited Books
26. R. K. De and S. K. Pal, "Case-based systems: A neuro-fuzzy method for selecting cases", in Soft Computing for Case-based Reasoning, (S. K. Pal, T. S. Dillon, and D. S. Yeung, (eds.)), London:Springer Verlag, pp. 241-257, 2000.
27. R. K. De, J. Basak, and S. K. Pal, "Neuro-fuzzy model for unsupervised feature extraction with real life applications", in Neuro-fuzzy Pattern Recognition, (H. Bunke and A. Kandel (eds.)), London:World Scientific, pp. 23-50, 2000.
28. R. K. De and S. K. Pal, "Neuro-fuzzy models for feature selection and classification", in Pattern Recognition: From Classical to Modern Approaches, (S. K. Pal and A. Pal (eds.)), Singapore:World Scientific, pp. 475-506, 2001.
29. R. K. De, "Reverse engineering gene regulatory networks: Artificial neural network based methodologies", in Bioinformatics and Statistics in Fisheries Research: Vol.-III, (A. K. Roy and N. Sarangi (eds.)), Central Institute of Freshwater Aquaculture (CIFA), pp. 30-41, 2007.