| 2008 |
|---|
| 72 | EE | Chin-Teng Lin,
Nikhil R. Pal,
Chien-Yao Chuang,
Tzyy-Ping Jung,
Li-Wei Ko,
Sheng-Fu Liang:
An EEG-based subject- and session-independent drowsiness detection.
IJCNN 2008: 3448-3454 |
| 71 | EE | Nikhil R. Pal,
Animesh Sharma,
Somitra Kumar Sanadhya:
Deriving meaningful rules from gene expression data for classification.
Journal of Intelligent and Fuzzy Systems 19(3): 171-180 (2008) |
| 70 | EE | Arijit Laha,
Bhabatosh Chanda,
Nikhil R. Pal:
Fast codebook searching in a SOM-based vector quantizer for image compression.
Signal, Image and Video Processing 2(1): 39-49 (2008) |
| 2007 |
|---|
| 69 | EE | Nikhil R. Pal:
A Fuzzy Rule Based approach to Identify Biomarkers for Diagnostic Classification of Cancers.
FUZZ-IEEE 2007: 1-6 |
| 68 | EE | Yu-Shuen Tsai,
I-Fang Chung,
Chin-Teng Lin,
Nikhil R. Pal:
Identification of Different Sets of Biomarkers for Diagnostic Classification of Cancers.
ICONIP (2) 2007: 866-875 |
| 67 | EE | Debrup Chakraborty,
Nikhil R. Pal:
Strict Generalization in Multilayered Perceptron Networks.
IFSA (1) 2007: 722-731 |
| 2006 |
|---|
| 66 | EE | Durga Prasad Muni,
Nikhil R. Pal,
Jyotirmay Das:
Texture Generation for Fashion Design Using Genetic Programming.
ICARCV 2006: 1-5 |
| 65 | EE | Arijit Laha,
Bhabatosh Chanda,
Nikhil R. Pal:
Accelerated codebook searching in a SOM-based Vector Quantizer.
IJCNN 2006: 3306-3311 |
| 64 | EE | Durga Prasad Muni,
Nikhil R. Pal,
Jyotirmay Das:
Genetic programming for simultaneous feature selection and classifier design.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 36(1): 106-117 (2006) |
| 63 | EE | 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.
Int. J. Intell. Syst. 21(4): 453-467 (2006) |
| 62 | EE | 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.
Int. J. Neural Syst. 16(1): 15-28 (2006) |
| 61 | EE | James M. Keller,
James C. Bezdek,
Mihail Popescu,
Nikhil R. Pal,
Joyce A. Mitchell,
Jacalyn M. Huband:
Gene Ontology Similarity Measures Based on Linear Order Statistics.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14(6): 639-661 (2006) |
| 2005 |
|---|
| 60 | EE | Nikhil R. Pal,
Kuhu Pal,
James M. Keller,
James C. Bezdek:
A Possibilistic Fuzzy c-Means Clustering Algorithm.
IEEE T. Fuzzy Systems 13(4): 517-530 (2005) |
| 59 | EE | Kuhu Pal,
Nikhil R. Pal,
James M. Keller,
James C. Bezdek:
Relational mountain (density) clustering method and web log analysis.
Int. J. Intell. Syst. 20(3): 375-392 (2005) |
| 58 | | Nikola K. Kasabov,
Hojjat Adeli,
Nikhil R. Pal:
Introduction.
Int. J. Neural Syst. 15(1-2): (2005) |
| 2004 |
|---|
| 57 | | Nikhil R. Pal,
Nikola Kasabov,
Rajani K. Mudi,
Srimanta Pal,
Swapan K. Parui:
Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings
Springer 2004 |
| 56 | EE | James M. Keller,
Nikhil R. Pal:
Editorial.
IEEE T. Fuzzy Systems 12(5): 577-578 (2004) |
| 55 | | Durga Prasad Muni,
Nikhil R. Pal,
Jyotirmay Das:
A novel approach to design classifiers using genetic programming.
IEEE Trans. Evolutionary Computation 8(2): 183-196 (2004) |
| 54 | EE | Arijit Laha,
Nikhil R. Pal,
Bhabatosh Chanda:
Design of vector quantizer for image compression using self-organizing feature map and surface fitting.
IEEE Transactions on Image Processing 13(10): 1291-1303 (2004) |
| 2003 |
|---|
| 53 | | Nikhil R. Pal:
On-Line Feature and Sensor Selection - The Way To Go.
HIS 2003: 6 |
| 52 | EE | 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.
ICANN 2003: 1168-1175 |
| 51 | EE | Nikhil R. Pal,
Debrup Chakraborty:
Some New Features for Protein Fold Prediction.
ICANN 2003: 1176-1183 |
| 50 | | Tandra Pal,
Nikhil R. Pal:
SOGARG: A self-organized genetic algorithm-based rule generation scheme for fuzzy controllers.
IEEE Trans. Evolutionary Computation 7(4): 397-415 (2003) |
| 49 | EE | Nikhil R. Pal,
Rajani K. Mudi:
Computational intelligence for decision-making systems.
Int. J. Intell. Syst. 18(5): 483-486 (2003) |
| 48 | EE | Tandra Pal,
Nikhil R. Pal,
M. Pal:
Learning fuzzy rules for controllers with genetic algorithms.
Int. J. Intell. Syst. 18(5): 569-592 (2003) |
| 47 | EE | Subhash C. Bagui,
Sikha Bagui,
Kuhu Pal,
Nikhil R. Pal:
Breast cancer detection using rank nearest neighbor classification rules.
Pattern Recognition 36(1): 25-34 (2003) |
| 2002 |
|---|
| 46 | | Nikhil R. Pal,
Michio Sugeno:
Advances in Soft Computing - AFSS 2002, 2002 AFSS International Conference on Fuzzy Systems. Calcutta, India, February 3-6, 2002, Proceedings
Springer 2002 |
| 45 | EE | Debrup Chakraborty,
Nikhil R. Pal:
Designing Rule-Based Classifiers with On-Line Feature Selection: A Neuro-fuzzy Approach.
AFSS 2002: 251-259 |
| 44 | | James C. Bezdek,
Nikhil R. Pal,
Thomas A. Runkler,
Kuhu Pal:
Should Tendency Assessment Precede Rule Extraction by Clustering? (No!).
Advances in Computational Intelligence and Learning 2002: 17-41 |
| 43 | | Swapan Raha,
Nikhil R. Pal,
Kumar S. Ray:
Similarity-based approximate reasoning: methodology and application.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 32(4): 541-547 (2002) |
| 42 | | 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.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(4): 470-482 (2002) |
| 41 | | Nikhil R. Pal,
James C. Bezdek:
Complexity reduction for "large image" processing.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(5): 598-611 (2002) |
| 40 | EE | Nikhil R. Pal,
Srimanta Pal:
Editorial: Computational Intelligence for Pattern Recognition.
IJPRAI 16(7): 773-780 (2002) |
| 39 | EE | Sukumar Chakraborty,
Kuhu Pal,
Nikhil R. Pal:
A neuro-fuzzy framework for inferencing.
Neural Networks 15(1): 247-261 (2002) |
| 2001 |
|---|
| 38 | EE | Rajani K. Mudi,
Nikhil R. Pal:
A note on fuzzy PI-type controllers with resetting action.
Fuzzy Sets and Systems 121(1): 149-159 (2001) |
| 37 | | Nikhil R. Pal,
Susmita Ghosh:
Some classification algorithms integrating Dempster-Shafer theory of evidence with the rank nearest neighbor rules.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 31(1): 59-66 (2001) |
| 36 | | Debrup Chakraborty,
Nikhil R. Pal:
Integrated feature analysis and fuzzy rule-based system identification in a neuro-fuzzy paradigm.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(3): 391-400 (2001) |
| 35 | | Nikhil R. Pal,
Sukumar Chakraborty:
Fuzzy rule extraction from ID3-type decision trees for real data.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(5): 745-754 (2001) |
| 34 | | Arijit Laha,
Nikhil R. Pal:
Some novel classifiers designed using prototypes extracted by a new scheme based on self-organizing feature map.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(6): 881-890 (2001) |
| 33 | EE | Kuhu Pal,
Nikhil R. Pal:
Connectionist Models in Materials Science: Characterisation of the Sorption Properties of Hydrogen Storage Materials.
Neural Computing and Applications 10(3): 195-205 (2001) |
| 32 | EE | Arijit Laha,
Nikhil R. Pal:
Dynamic generation of prototypes with self-organizing feature maps for classifier design.
Pattern Recognition 34(2): 315-321 (2001) |
| 2000 |
|---|
| 31 | EE | A. K. Datta,
Sankar K. Pal,
Nikhil R. Pal:
A connectionist model for convex-hull of a planar set.
Neural Networks 13(3): 377-384 (2000) |
| 30 | EE | Sambhunath Biswas,
Nikhil R. Pal:
On hierarchical segmentation for image compression.
Pattern Recognition Letters 21(2): 131-144 (2000) |
| 1999 |
|---|
| 29 | | Malay K. Kundu,
Nikhil R. Pal:
Self-Crossover and Its Application to the Travelling Salesman Problem.
IEA/AIE 1999: 326-332 |
| 28 | EE | Nikhil R. Pal,
Kuhu Pal:
Handling of inconsistent rules with an extended model of fuzzy reasoning.
Journal of Intelligent and Fuzzy Systems 7(1): 55-73 (1999) |
| 1998 |
|---|
| 27 | | Ponnuthurai N. Suganthan,
Nikhil R. Pal:
Pattern Classification Using Multiple SOMs.
ICONIP 1998: 1065-1068 |
| 26 | | Nikhil R. Pal,
Kallol Banerjee,
Yoichi Hayashi:
SUM-PI Network: A New Multilayered Feed-Forward Network.
ICONIP 1998: 687-690 |
| 25 | | Kuhu Pal,
Nikhil R. Pal:
Modeling Dehydriding Behavior of Hydrogen Storage Materials with Neural Networks.
ICONIP 1998: 703-706 |
| 24 | | James C. Bezdek,
Nikhil R. Pal:
Some new indexes of cluster validity.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 28(3): 301-315 (1998) |
| 23 | EE | Nikhil R. Pal,
Suchismita Nandi,
Malay Kumar Kundu:
Self-crossover-a new genetic operator and its application to feature selection.
Int. J. Systems Science 29(2): 207-212 (1998) |
| 1997 |
|---|
| 22 | | Nikhil R. Pal,
Sukumar Chakraborty,
A. Bagchi:
RID3: An ID3-Like Algorithm for Real Data.
Inf. Sci. 96(3&4): 271-290 (1997) |
| 21 | EE | Rajat K. De,
Nikhil R. Pal,
Sankar K. Pal:
Feature analysis: Neural network and fuzzy set theoretic approaches.
Pattern Recognition 30(10): 1579-1590 (1997) |
| 20 | EE | Nikhil R. Pal,
J. Biswas:
Cluster validation using graph theoretic concepts.
Pattern Recognition 30(6): 847-857 (1997) |
| 1996 |
|---|
| 19 | EE | Nikhil R. Pal,
James C. Bezdek,
Richard J. Hathaway:
Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms.
Neural Networks 9(5): 787-796 (1996) |
| 18 | EE | Sambhunath Biswas,
Nikhil R. Pal,
Sankar K. Pal:
Smoothing of digital images using the concept of diffusion process.
Pattern Recognition 29(3): 497-510 (1996) |
| 17 | EE | Nikhil R. Pal:
On minimum cross-entropy thresholding.
Pattern Recognition 29(4): 575-580 (1996) |
| 1995 |
|---|
| 16 | EE | James C. Bezdek,
Nikhil R. Pal:
Cluster Validation with Generalized Dunn's Indices.
ANNES 1995: 190-193 |
| 15 | EE | Jayanta Basak,
Nikhil R. Pal,
Sankar K. Pal:
A connectionist system for learning and recognition of structures: Application to handwritten characters.
Neural Networks 8(4): 643-657 (1995) |
| 14 | EE | James C. Bezdek,
Nikhil R. Pal:
Two soft relatives of learning vector quantization.
Neural Networks 8(5): 729-743 (1995) |
| 13 | EE | James C. Bezdek,
Nikhil R. Pal:
An index of topological preservation for feature extraction.
Pattern Recognition 28(3): 381-391 (1995) |
| 12 | EE | Subhash C. Bagui,
Nikhil R. Pal:
A multistage generalization of the rank nearest neighbor classification rule.
Pattern Recognition Letters 16(6): 601-614 (1995) |
| 1994 |
|---|
| 11 | | Dinabandu Bhandhari,
Nikhil R. Pal,
Sankar K. Pal:
Directed Mutation in Gennetic Algorithms.
Inf. Sci. 79(3-4): 251-270 (1994) |
| 10 | EE | Takeshi Yamakawa,
Nikhil R. Pal:
Preface: International Conference on fuzzy logic and Neural Networks (IIZUKA '92).
Int. J. Approx. Reasoning 10(1): 1-2 (1994) |
| 9 | EE | Eric Chen-Kuo Tsao,
James C. Bezdek,
Nikhil R. Pal:
Fuzzy Kohonen clustering networks.
Pattern Recognition 27(5): 757-764 (1994) |
| 1993 |
|---|
| 8 | EE | Dinabandhu Bhandari,
Nikhil R. Pal:
Some new information measures for fuzzy sets.
Inf. Sci. 67(3): 209-228 (1993) |
| 7 | EE | Nikhil R. Pal,
Pratik Pal,
Anupam K. Basu:
A new shape representation scheme and its application to shape discrimination using a neural network.
Pattern Recognition 26(4): 543-551 (1993) |
| 6 | EE | Nikhil R. Pal,
Sankar K. Pal:
A review on image segmentation techniques.
Pattern Recognition 26(9): 1277-1294 (1993) |
| 1992 |
|---|
| 5 | | Ashish Ghosh,
Nikhil R. Pal,
Sankar K. Pal:
Object Background Classification Using Hopfield Type Neural Network.
IJPRAI 6(5): 989-1008 (1992) |
| 4 | EE | Nikhil R. Pal,
Sankar K. Pal:
Higher order fuzzy entropy and hybrid entropy of a set.
Inf. Sci. 61(3): 211-231 (1992) |
| 3 | EE | Nikhil R. Pal,
Sankar K. Pal:
Some properties of the exponential entropy.
Inf. Sci. 66(1-2): 119-137 (1992) |
| 2 | EE | Nikhil R. Pal,
James C. Bezdek,
Rohan Hemasinha:
Uncertainty measures for evidential reasoning I: A review.
Int. J. Approx. Reasoning 7(3-4): 165-183 (1992) |
| 1 | EE | Dinabandhu Bhandari,
Nikhil R. Pal,
D. Dutta Majumder:
Fuzzy divergence, probability measure of fuzzy events and image thresholding.
Pattern Recognition Letters 13(12): 857-867 (1992) |
