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Nikhil R. Pal :
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James C. Bezdek , Nikhil R. Pal , Thomas A. Runkler , Kuhu Pal Should Tendency Assessment Precede Rule Extraction by Clustering? (No!). [Citation Graph (0, 0)][DBLP ] Advances in Computational Intelligence and Learning, 2002, pp:17-41 [Conf ] Debrup Chakraborty , Nikhil R. Pal Designing Rule-Based Classifiers with On-Line Feature Selection: A Neuro-fuzzy Approach. [Citation Graph (0, 0)][DBLP ] AFSS, 2002, pp:251-259 [Conf ] James C. Bezdek , Nikhil R. Pal Cluster Validation with Generalized Dunn's Indices. [Citation Graph (0, 0)][DBLP ] ANNES, 1995, pp:190-193 [Conf ] Nikhil R. Pal On-Line Feature and Sensor Selection - The Way To Go. [Citation Graph (0, 0)][DBLP ] HIS, 2003, pp:6- [Conf ] Chuen-Der Huang , I-Fang Chung , Nikhil R. Pal , Chin-Teng Lin Machine Learning for Multi-class Protein Fold Classification Based on Neural Networks with Feature Gating. [Citation Graph (0, 0)][DBLP ] ICANN, 2003, pp:1168-1175 [Conf ] Nikhil R. Pal , Debrup Chakraborty Some New Features for Protein Fold Prediction. [Citation Graph (0, 0)][DBLP ] ICANN, 2003, pp:1176-1183 [Conf ] Nikhil R. Pal , Kallol Banerjee , Yoichi Hayashi SUM-PI Network: A New Multilayered Feed-Forward Network. [Citation Graph (0, 0)][DBLP ] ICONIP, 1998, pp:687-690 [Conf ] Kuhu Pal , Nikhil R. Pal Modeling Dehydriding Behavior of Hydrogen Storage Materials with Neural Networks. [Citation Graph (0, 0)][DBLP ] ICONIP, 1998, pp:703-706 [Conf ] Ponnuthurai N. Suganthan , Nikhil R. Pal Pattern Classification Using Multiple SOMs. [Citation Graph (0, 0)][DBLP ] ICONIP, 1998, pp:1065-1068 [Conf ] Malay K. Kundu , Nikhil R. Pal Self-Crossover and Its Application to the Travelling Salesman Problem. [Citation Graph (0, 0)][DBLP ] IEA/AIE, 1999, pp:326-332 [Conf ] Rajani K. Mudi , Nikhil R. Pal A note on fuzzy PI-type controllers with resetting action. [Citation Graph (0, 0)][DBLP ] Fuzzy Sets and Systems, 2001, v:121, n:1, pp:149-159 [Journal ] Nikhil R. Pal , James C. Bezdek , Rohan Hemasinha Uncertainty measures for evidential reasoning I: A review. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 1992, v:7, n:3-4, pp:165-183 [Journal ] Takeshi Yamakawa , Nikhil R. Pal Preface: International Conference on fuzzy logic and Neural Networks (IIZUKA '92). [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 1994, v:10, n:1, pp:1-2 [Journal ] Kuhu Pal , Nikhil R. Pal , James M. Keller , James C. Bezdek Relational mountain (density) clustering method and web log analysis. [Citation Graph (0, 0)][DBLP ] Int. J. Intell. Syst., 2005, v:20, n:3, pp:375-392 [Journal ] Tandra Pal , Nikhil R. Pal , M. Pal Learning fuzzy rules for controllers with genetic algorithms. [Citation Graph (0, 0)][DBLP ] Int. J. Intell. Syst., 2003, v:18, n:5, pp:569-592 [Journal ] Nikhil R. Pal , Rajani K. Mudi Computational intelligence for decision-making systems. [Citation Graph (0, 0)][DBLP ] Int. J. Intell. Syst., 2003, v:18, n:5, pp:483-486 [Journal ] Nikhil R. Pal , Animesh Sharma , Somitra Kumar Sanadhya , Karmeshu On identifying marker genes from gene expression data in a neural framework through online feature analysis. [Citation Graph (0, 0)][DBLP ] Int. J. Intell. Syst., 2006, v:21, n:4, pp:453-467 [Journal ] Nikola K. Kasabov , Hojjat Adeli , Nikhil R. Pal Introduction. [Citation Graph (0, 0)][DBLP ] Int. J. Neural Syst., 2005, v:15, n:1-2, pp:- [Journal ] Srimanta Pal , Sabyasachi Bhattacharya , Nikhil R. Pal A Novel Connectionist Framework for Computation of an Approximate Convex-hull of a Set of Planar Points, Circles and Ellipses. [Citation Graph (0, 0)][DBLP ] Int. J. Neural Syst., 2006, v:16, n:1, pp:15-28 [Journal ] Ashish Ghosh , Nikhil R. Pal , Sankar K. Pal Object Background Classification Using Hopfield Type Neural Network. [Citation Graph (0, 0)][DBLP ] IJPRAI, 1992, v:6, n:5, pp:989-1008 [Journal ] Nikhil R. Pal , Srimanta Pal Editorial: Computational Intelligence for Pattern Recognition. [Citation Graph (0, 0)][DBLP ] IJPRAI, 2002, v:16, n:7, pp:773-780 [Journal ] Dinabandhu Bhandari , Nikhil R. Pal Some new information measures for fuzzy sets. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 1993, v:67, n:3, pp:209-228 [Journal ] Dinabandu Bhandhari , Nikhil R. Pal , Sankar K. Pal Directed Mutation in Gennetic Algorithms. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 1994, v:79, n:3-4, pp:251-270 [Journal ] Nikhil R. Pal , Sukumar Chakraborty , A. Bagchi RID3: An ID3-Like Algorithm for Real Data. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 1997, v:96, n:3&4, pp:271-290 [Journal ] Nikhil R. Pal , Sankar K. Pal Some properties of the exponential entropy. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 1992, v:66, n:1-2, pp:119-137 [Journal ] Nikhil R. Pal , Sankar K. Pal Higher order fuzzy entropy and hybrid entropy of a set. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 1992, v:61, n:3, pp:211-231 [Journal ] Nikhil R. Pal , Kuhu Pal Handling of inconsistent rules with an extended model of fuzzy reasoning. [Citation Graph (0, 0)][DBLP ] Journal of Intelligent and Fuzzy Systems, 1999, v:7, n:1, pp:55-73 [Journal ] Kuhu Pal , Nikhil R. Pal Connectionist Models in Materials Science: Characterisation of the Sorption Properties of Hydrogen Storage Materials. [Citation Graph (0, 0)][DBLP ] Neural Computing and Applications, 2001, v:10, n:3, pp:195-205 [Journal ] Jayanta Basak , Nikhil R. Pal , Sankar K. Pal A connectionist system for learning and recognition of structures: Application to handwritten characters. [Citation Graph (0, 0)][DBLP ] Neural Networks, 1995, v:8, n:4, pp:643-657 [Journal ] James C. Bezdek , Nikhil R. Pal Two soft relatives of learning vector quantization. [Citation Graph (0, 0)][DBLP ] Neural Networks, 1995, v:8, n:5, pp:729-743 [Journal ] Sukumar Chakraborty , Kuhu Pal , Nikhil R. Pal A neuro-fuzzy framework for inferencing. [Citation Graph (0, 0)][DBLP ] Neural Networks, 2002, v:15, n:1, pp:247-261 [Journal ] A. K. Datta , Sankar K. Pal , Nikhil R. Pal A connectionist model for convex-hull of a planar set. [Citation Graph (0, 0)][DBLP ] Neural Networks, 2000, v:13, n:3, pp:377-384 [Journal ] Nikhil R. Pal , James C. Bezdek , Richard J. Hathaway Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms. [Citation Graph (0, 0)][DBLP ] Neural Networks, 1996, v:9, n:5, pp:787-796 [Journal ] Subhash C. Bagui , Sikha Bagui , Kuhu Pal , Nikhil R. Pal Breast cancer detection using rank nearest neighbor classification rules. [Citation Graph (0, 0)][DBLP ] Pattern Recognition, 2003, v:36, n:1, pp:25-34 [Journal ] James C. Bezdek , Nikhil R. Pal An index of topological preservation for feature extraction. [Citation Graph (0, 0)][DBLP ] Pattern Recognition, 1995, v:28, n:3, pp:381-391 [Journal ] Sambhunath Biswas , Nikhil R. Pal , Sankar K. Pal Smoothing of digital images using the concept of diffusion process. [Citation Graph (0, 0)][DBLP ] Pattern Recognition, 1996, v:29, n:3, pp:497-510 [Journal ] Rajat K. De , Nikhil R. Pal , Sankar K. Pal Feature analysis: Neural network and fuzzy set theoretic approaches. [Citation Graph (0, 0)][DBLP ] Pattern Recognition, 1997, v:30, n:10, pp:1579-1590 [Journal ] Arijit Laha , Nikhil R. Pal Dynamic generation of prototypes with self-organizing feature maps for classifier design. [Citation Graph (0, 0)][DBLP ] Pattern Recognition, 2001, v:34, n:2, pp:315-321 [Journal ] Nikhil R. Pal On minimum cross-entropy thresholding. [Citation Graph (0, 0)][DBLP ] Pattern Recognition, 1996, v:29, n:4, pp:575-580 [Journal ] Nikhil R. Pal , J. Biswas Cluster validation using graph theoretic concepts. [Citation Graph (0, 0)][DBLP ] Pattern Recognition, 1997, v:30, n:6, pp:847-857 [Journal ] Nikhil R. Pal , Sankar K. Pal A review on image segmentation techniques. [Citation Graph (0, 0)][DBLP ] Pattern Recognition, 1993, v:26, n:9, pp:1277-1294 [Journal ] Nikhil R. Pal , Pratik Pal , Anupam K. Basu A new shape representation scheme and its application to shape discrimination using a neural network. [Citation Graph (0, 0)][DBLP ] Pattern Recognition, 1993, v:26, n:4, pp:543-551 [Journal ] Eric Chen-Kuo Tsao , James C. Bezdek , Nikhil R. Pal Fuzzy Kohonen clustering networks. [Citation Graph (0, 0)][DBLP ] Pattern Recognition, 1994, v:27, n:5, pp:757-764 [Journal ] Subhash C. Bagui , Nikhil R. Pal A multistage generalization of the rank nearest neighbor classification rule. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 1995, v:16, n:6, pp:601-614 [Journal ] Dinabandhu Bhandari , Nikhil R. Pal , D. Dutta Majumder Fuzzy divergence, probability measure of fuzzy events and image thresholding. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 1992, v:13, n:12, pp:857-867 [Journal ] Sambhunath Biswas , Nikhil R. Pal On hierarchical segmentation for image compression. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 2000, v:21, n:2, pp:131-144 [Journal ] Durga Prasad Muni , Nikhil R. Pal , Jyotirmoy Das A novel approach to design classifiers using genetic programming. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Evolutionary Computation, 2004, v:8, n:2, pp:183-196 [Journal ] Tandra Pal , Nikhil R. Pal SOGARG: A self-organized genetic algorithm-based rule generation scheme for fuzzy controllers. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Evolutionary Computation, 2003, v:7, n:4, pp:397-415 [Journal ] James M. Keller , Nikhil R. Pal Editorial. [Citation Graph (0, 0)][DBLP ] IEEE T. Fuzzy Systems, 2004, v:12, n:5, pp:577-578 [Journal ] Nikhil R. Pal , Kuhu Pal , James M. Keller , James C. Bezdek A Possibilistic Fuzzy c-Means Clustering Algorithm. [Citation Graph (0, 0)][DBLP ] IEEE T. Fuzzy Systems, 2005, v:13, n:4, pp:517-530 [Journal ] Arijit Laha , Nikhil R. Pal , Bhabatosh Chanda Design of vector quantizer for image compression using self-organizing feature map and surface fitting. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Image Processing, 2004, v:13, n:10, pp:1291-1303 [Journal ] James C. Bezdek , Nikhil R. Pal Some new indexes of cluster validity. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1998, v:28, n:3, pp:301-315 [Journal ] Debrup Chakraborty , Nikhil R. Pal Integrated feature analysis and fuzzy rule-based system identification in a neuro-fuzzy paradigm. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2001, v:31, n:3, pp:391-400 [Journal ] Arijit Laha , Nikhil R. Pal Some novel classifiers designed using prototypes extracted by a new scheme based on self-organizing feature map. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2001, v:31, n:6, pp:881-890 [Journal ] Durga Prasad Muni , Nikhil R. Pal , Jyotirmoy Das Genetic programming for simultaneous feature selection and classifier design. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2006, v:36, n:1, pp:106-117 [Journal ] Nikhil R. Pal , James C. Bezdek Complexity reduction for "large image" processing. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2002, v:32, n:5, pp:598-611 [Journal ] Nikhil R. Pal , Sukumar Chakraborty Fuzzy rule extraction from ID3-type decision trees for real data. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2001, v:31, n:5, pp:745-754 [Journal ] Nikhil R. Pal , Susmita Ghosh Some classification algorithms integrating Dempster-Shafer theory of evidence with the rank nearest neighbor rules. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2001, v:31, n:1, pp:59-66 [Journal ] Kuhu Pal , Rajani K. Mudi , Nikhil R. Pal A new scheme for fuzzy rule-based system identification and its application to self-tuning fuzzy controllers. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2002, v:32, n:4, pp:470-482 [Journal ] Swapan Raha , Nikhil R. Pal , Kumar S. Ray Similarity-based approximate reasoning: methodology and application. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2002, v:32, n:4, pp:541-547 [Journal ] Debrup Chakraborty , Nikhil R. Pal Strict Generalization in Multilayered Perceptron Networks. [Citation Graph (0, 0)][DBLP ] IFSA, 2007, pp:722-731 [Conf ] A Fuzzy Rule Based approach to Identify Biomarkers for Diagnostic Classification of Cancers. [Citation Graph (, )][DBLP ] Identification of Different Sets of Biomarkers for Diagnostic Classification of Cancers. [Citation Graph (, )][DBLP ] Accelerated codebook searching in a SOM-based Vector Quantizer. [Citation Graph (, )][DBLP ] An EEG-based subject- and session-independent drowsiness detection. [Citation Graph (, )][DBLP ] A Novel Approach for Detection of Alteration in Ball Pen Writings. [Citation Graph (, )][DBLP ] Texture Generation for Fashion Design Using Genetic Programming. [Citation Graph (, )][DBLP ] Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering. [Citation Graph (, )][DBLP ] Discovery of dominant and dormant genes from expression data using a novel generalization of SNR for multi-class problems. [Citation Graph (, )][DBLP ] Designing fuzzy rule based classifier using self-organizing feature map for analysis of multispectral satellite images [Citation Graph (, )][DBLP ] Land cover classification using fuzzy rules and aggregation of contextual information through evidence theory [Citation Graph (, )][DBLP ] Search in 0.066secs, Finished in 0.068secs