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ORCIDNikhil R. Pal
Nikhil Ranjan Pal
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- affiliation: Indian Statistical Institute, India
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Journal Articles
- 2024
[j184]Shujun Wu, Jian Wang
, Huaying Sun, Kai Zhang, Nikhil R. Pal:
Fractional Approximation of Broad Learning System. IEEE Trans. Cybern. 54(2): 811-824 (2024)- [j183]Guangdong Xue, Jian Wang, Kai Zhang, Nikhil R. Pal:
High-Dimensional Fuzzy Inference Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 507-519 (2024) - [j182]Fanbiao Li, Zheng Wu, Nikhil R. Pal, Chunhua Yang, Hao Peng, Okyay Kaynak, Tingwen Huang:
Lane-Keeping Control of Automatic Steering Systems via Adaptive Fuzzy Sliding-Mode Approach. IEEE Trans. Syst. Man Cybern. Syst. 54(3): 1683-1693 (2024) - 2023
- [j181]Faliang Yin, Weiguo Li, Kai Zhang, Jian Wang, Nikhil R. Pal:
Pseudo inverse versus iterated projection: Novel learning approach and its application on broad learning system. Inf. Sci. 649: 119648 (2023) - [j180]Suvra Jyoti Choudhury, Nikhil R. Pal:
Classification of incomplete data integrating neural networks and evidential reasoning. Neural Comput. Appl. 35(10): 7267-7281 (2023) - [j179]Guangdong Xue, Qin Chang, Jian Wang, Kai Zhang, Nikhil Ranjan Pal:
An Adaptive Neuro-Fuzzy System With Integrated Feature Selection and Rule Extraction for High-Dimensional Classification Problems. IEEE Trans. Fuzzy Syst. 31(7): 2167-2181 (2023) - 2022
- [j178]Jian Wang, Qin Chang, Tao Gao, Kai Zhang, Nikhil R. Pal:
Sensitivity analysis of Takagi-Sugeno fuzzy neural network. Inf. Sci. 582: 725-749 (2022) - [j177]Suchismita Das, Nikhil R. Pal:
Supervised learning of explicit maps with ability to correct distortions in the target output for manifold learning. Inf. Sci. 614: 311-324 (2022) - [j176]Huaqing Zhang, Yunqi Jiang, Jian Wang, Kai Zhang, Nikhil R. Pal:
Bilateral sensitivity analysis: a better understanding of a neural network. Int. J. Mach. Learn. Cybern. 13(8): 2135-2152 (2022) - [j175]Xiaoling Gong, Ling Yu, Jian Wang, Kai Zhang, Xiao Bai, Nikhil R. Pal:
Unsupervised feature selection via adaptive autoencoder with redundancy control. Neural Networks 150: 87-101 (2022) - [j174]Suchismita Das, Nikhil R. Pal:
Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-Based Approach. IEEE Trans. Fuzzy Syst. 30(7): 2157-2169 (2022) - [j173]Xiaofan Li, Nikhil R. Pal, Huiyuan Li, Tingwen Huang:
Intermittent Event-Triggered Exponential Stabilization for State-Dependent Switched Fuzzy Neural Networks With Mixed Delays. IEEE Trans. Fuzzy Syst. 30(8): 3312-3321 (2022) - [j172]Suvra Jyoti Choudhury, Nikhil R. Pal:
Fuzzy Clustering of Single-View Incomplete Data Using a Multiview Framework. IEEE Trans. Fuzzy Syst. 30(12): 5312-5323 (2022) - 2021
- [j171]Arkaprabha Bhandari, Nikhil R. Pal:
Can edges help convolution neural networks in emotion recognition? Neurocomputing 433: 162-168 (2021) - [j170]Weiping Ding, Nikhil R. Pal, Chin-Teng Lin, Yiu-ming Cheung, Zehong Cao, Wenjian Luo:
Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making With Big Data in Uncertain Environments. IEEE Trans. Emerg. Top. Comput. Intell. 5(1): 2-5 (2021) - [j169]Suvra Jyoti Choudhury, Nikhil Ranjan Pal:
Deep and Structure-Preserving Autoencoders for Clustering Data With Missing Information. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 639-650 (2021) - [j168]Jian Wang, Huaqing Zhang, Junze Wang, Yifei Pu, Nikhil R. Pal:
Feature Selection Using a Neural Network With Group Lasso Regularization and Controlled Redundancy. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1110-1123 (2021) - 2020
- [j167]Nikhil R. Pal:
In Search of Trustworthy and Transparent Intelligent Systems With Human-Like Cognitive and Reasoning Capabilities. Frontiers Robotics AI 7: 76 (2020) - [j166]Xuetao Xie, Huaqing Zhang, Junze Wang, Qin Chang, Jian Wang, Nikhil R. Pal:
Learning Optimized Structure of Neural Networks by Hidden Node Pruning With L1 Regularization. IEEE Trans. Cybern. 50(3): 1333-1346 (2020) - [j165]Kaustuv Nag, Nikhil R. Pal:
Feature Extraction and Selection for Parsimonious Classifiers With Multiobjective Genetic Programming. IEEE Trans. Evol. Comput. 24(3): 454-466 (2020) - [j164]Amar Kishor, Amit K. Singh, Sonam, Nikhil R. Pal:
A New Family of OWA Operators Featuring Constant Orness. IEEE Trans. Fuzzy Syst. 28(9): 2263-2269 (2020) - [j163]Huaqing Zhang, Jian Wang, Zhanquan Sun, Jacek M. Zurada, Nikhil R. Pal:
Feature Selection for Neural Networks Using Group Lasso Regularization. IEEE Trans. Knowl. Data Eng. 32(4): 659-673 (2020) - 2019
- [j162]Nikhil R. Pal:
Time Flies! [President's Message]. IEEE Comput. Intell. Mag. 14(1): 3-4 (2019) - [j161]Nikhil R. Pal:
Immediate Open Access Is Welcome But... [President's Message]. IEEE Comput. Intell. Mag. 14(2): 3-4 (2019) - [j160]Nikhil R. Pal:
Newly Elected CIS Administrative Committee Members (2019-2021) [Society Briefs]. IEEE Comput. Intell. Mag. 14(2): 7-8 (2019) - [j159]Nikhil R. Pal:
Our First ExCom Meeting of 2019 [President's Message]. IEEE Comput. Intell. Mag. 14(3): 3 (2019) - [j158]Nikhil R. Pal:
Friends, It Is My Time to Sign Off! [President's Message]. IEEE Comput. Intell. Mag. 14(4): 3-4 (2019) - [j157]Suvra Jyoti Choudhury, Nikhil R. Pal:
Imputation of missing data with neural networks for classification. Knowl. Based Syst. 182 (2019) - [j156]Jian Wang, Qingquan Chang, Qin Chang, Yusong Liu, Nikhil R. Pal:
Weight Noise Injection-Based MLPs With Group Lasso Penalty: Asymptotic Convergence and Application to Node Pruning. IEEE Trans. Cybern. 49(12): 4346-4364 (2019) - [j155]Hao Zhang, Nikhil R. Pal, Yin Sheng, Zhigang Zeng:
Distributed Adaptive Tracking Synchronization for Coupled Reaction-Diffusion Neural Network. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1462-1475 (2019) - 2018
- [j154]Tao Gao, Jian Wang, Bingjie Zhang, Huaqing Zhang, Peng Ren, Nikhil R. Pal:
A Polak-Ribière-Polyak Conjugate Gradient-Based Neuro-Fuzzy Network and its Convergence. IEEE Access 6: 41551-41565 (2018) - [j153]Rupan Panja, Nikhil R. Pal:
MS-SVM: Minimally Spanned Support Vector Machine. Appl. Soft Comput. 64: 356-365 (2018) - [j152]Nikhil R. Pal:
Some Haphazard Thoughts [President's Message]. IEEE Comput. Intell. Mag. 13(1): 4-6 (2018) - [j151]Nikhil R. Pal:
Random Thoughts: \"Comprehensible & Sustainable\" Computational Intelligence [President's Message]. IEEE Comput. Intell. Mag. 13(2): 3-4 (2018) - [j150]Nikhil R. Pal:
Newly Elected CIS Administrative Committee Members (2018-2020) [Society Briefs]. IEEE Comput. Intell. Mag. 13(2): 5-7 (2018) - [j149]Nikhil R. Pal:
Sharing Some Experience [President's Message]. IEEE Comput. Intell. Mag. 13(3): 3-4 (2018) - [j148]Nikhil R. Pal:
More Haphazard Thoughts [President's Message]. IEEE Comput. Intell. Mag. 13(4): 3-58 (2018) - [j147]Bikram Karmakar, Nikhil R. Pal:
How to make a neural network say "Don't know". Inf. Sci. 430: 444-466 (2018) - [j146]Ignacio Montes, Nikhil R. Pal, Susana Montes:
Entropy measures for Atanassov intuitionistic fuzzy sets based on divergence. Soft Comput. 22(15): 5051-5071 (2018) - [j145]James C. Bezdek, James M. Keller, Nikhil R. Pal, Chin-Teng Lin, Jonathan M. Garibaldi:
Editorial Celebrating 25 Years of the IEEE Transactions on Fuzzy Systems. IEEE Trans. Fuzzy Syst. 26(1): 1-5 (2018) - [j144]Yu-Ting Liu, Nikhil R. Pal, Amar R. Marathe, Chin-Teng Lin:
Weighted Fuzzy Dempster-Shafer Framework for Multimodal Information Integration. IEEE Trans. Fuzzy Syst. 26(1): 338-352 (2018) - [j143]I-Fang Chung, Yi-Cheng Chen, Nikhil R. Pal:
Feature Selection With Controlled Redundancy in a Fuzzy Rule Based Framework. IEEE Trans. Fuzzy Syst. 26(2): 734-748 (2018) - [j142]Kaustuv Nag, Tandra Pal, Rajani K. Mudi, Nikhil R. Pal:
Robust Multiobjective Optimization With Robust Consensus. IEEE Trans. Fuzzy Syst. 26(6): 3743-3754 (2018) - [j141]Chin-Teng Lin, Tsung-Yu Hsieh, Yu-Ting Liu, Yang-Yin Lin, Chieh-Ning Fang, Yu-Kai Wang, Gary G. Yen, Nikhil R. Pal, Chun-Hsiang Chuang:
Minority Oversampling in Kernel Adaptive Subspaces for Class Imbalanced Datasets. IEEE Trans. Knowl. Data Eng. 30(5): 950-962 (2018) - [j140]Prasenjit Dey, Kaustuv Nag, Tandra Pal, Nikhil R. Pal:
Regularizing Multilayer Perceptron for Robustness. IEEE Trans. Syst. Man Cybern. Syst. 48(8): 1255-1266 (2018) - 2017
- [j139]Nikhil R. Pal:
A Primer on Cluster Analysis: 4 Basic Methods That (Usually) Work [Book Review]. IEEE Comput. Intell. Mag. 12(4): 98-100 (2017) - [j138]Gustavo Ochoa, Inmaculada Lizasoain, Daniel Paternain, Humberto Bustince, Nikhil R. Pal:
From quantitative to qualitative orness for lattice OWA operators. Int. J. Gen. Syst. 46(6): 640-669 (2017) - [j137]Pradeep Singh, Nikhil R. Pal, Shrish Verma, Om Prakash Vyas:
Fuzzy Rule-Based Approach for Software Fault Prediction. IEEE Trans. Syst. Man Cybern. Syst. 47(5): 826-837 (2017) - 2016
- [j136]Adnan Yazici, Nikhil R. Pal, Uzay Kaymak:
Conference Report on 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015) [Conference Reports]. IEEE Comput. Intell. Mag. 11(1): 11-13 (2016) - [j135]Nikhil R. Pal:
Call for Nominations\/Applications: Editor-in-Chief of IEEE Transactions on Fuzzy Systems Society Briefs. IEEE Comput. Intell. Mag. 11(2): 14 (2016) - [j134]Arkanath Pathak, Nikhil R. Pal:
Clustering of Mixed Data by Integrating Fuzzy, Probabilistic, and Collaborative Clustering Framework. Int. J. Fuzzy Syst. 18(3): 339-348 (2016) - [j133]Prantik Chatterjee, Nikhil Ranjan Pal:
Discovery of synergistic genetic network: A minimum spanning tree-based approach. J. Bioinform. Comput. Biol. 14(1): 1650003:1-1650003:19 (2016) - [j132]Kaustuv Nag, Nikhil R. Pal:
A Multiobjective Genetic Programming-Based Ensemble for Simultaneous Feature Selection and Classification. IEEE Trans. Cybern. 46(2): 499-510 (2016) - [j131]Nikhil R. Pal:
Call for nominations / Applications for the position of the Editor-in-Chief of IEEE Transactions on Emerging Topics in Computational Intelligence. IEEE Trans. Evol. Comput. 20(2): 323 (2016) - [j130]Ignacio Montes, Vladimír Janis, Nikhil R. Pal, Susana Montes:
Local Divergences for Atanassov Intuitionistic Fuzzy Sets. IEEE Trans. Fuzzy Syst. 24(2): 360-373 (2016) - [j129]Kaushik Sarkar, Prantik Chatterjee, Nikhil R. Pal:
Finding Synergy Networks From Gene Expression Data: A Fuzzy-Rule-Based Approach. IEEE Trans. Fuzzy Syst. 24(6): 1488-1499 (2016) - 2015
- [j128]Swapna Agarwal, Pradip Ghanty, Nikhil R. Pal:
Identification of a small set of plasma signalling proteins using neural network for prediction of Alzheimer's disease. Bioinform. 31(15): 2505-2513 (2015) - [j127]Hsei-Wei Wang, Hsing-Jen Sun, Ting-Yu Chang, Hung-Hao Lo, Wei-Chung Cheng, George C. Tseng, Chin-Teng Lin, Shing-Jyh Chang, Nikhil R. Pal, I-Fang Chung:
Discovering monotonic stemness marker genes from time-series stem cell microarray data. BMC Genom. 16(S-2): S2 (2015) - [j126]Kaustuv Nag, Tandra Pal, Nikhil R. Pal:
ASMiGA: An Archive-Based Steady-State Micro Genetic Algorithm. IEEE Trans. Cybern. 45(1): 40-52 (2015) - [j125]Sumantra Chakraborty, Amit Konar, Anca L. Ralescu, Nikhil R. Pal:
A Fast Algorithm to Compute Precise Type-2 Centroids for Real-Time Control Applications. IEEE Trans. Cybern. 45(2): 340-353 (2015) - [j124]Sen Bong Gee, Kay Chen Tan, Vui Ann Shim, Nikhil R. Pal:
Online Diversity Assessment in Evolutionary Multiobjective Optimization: A Geometrical Perspective. IEEE Trans. Evol. Comput. 19(4): 542-559 (2015) - [j123]Ignacio Montes, Nikhil R. Pal, Vladimír Janis, Susana Montes:
Divergence Measures for Intuitionistic Fuzzy Sets. IEEE Trans. Fuzzy Syst. 23(2): 444-456 (2015) - [j122]Santiago García-Jiménez, Humberto Bustince, Eyke Hüllermeier, Radko Mesiar, Nikhil R. Pal, Ana Pradera:
Overlap Indices: Construction of and Application to Interpolative Fuzzy Systems. IEEE Trans. Fuzzy Syst. 23(4): 1259-1273 (2015) - [j121]Amit K. Singh, Amar Kishor, Nikhil R. Pal:
Stancu OWA Operator. IEEE Trans. Fuzzy Syst. 23(4): 1306-1313 (2015) - [j120]Monami Banerjee, Nikhil R. Pal:
Unsupervised Feature Selection with Controlled Redundancy (UFeSCoR). IEEE Trans. Knowl. Data Eng. 27(12): 3390-3403 (2015) - [j119]Rudrasis Chakraborty, Nikhil R. Pal:
Feature Selection Using a Neural Framework With Controlled Redundancy. IEEE Trans. Neural Networks Learn. Syst. 26(1): 35-50 (2015) - [j118]Chin-Teng Lin, Nikhil R. Pal, Shang-Lin Wu, Yu-Ting Liu, Yang-Yin Lin:
An Interval Type-2 Neural Fuzzy System for Online System Identification and Feature Elimination. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1442-1455 (2015) - 2014
- [j117]Nikhil R. Pal, Bernadette Bouchon-Meunier:
A Report on Fuzz-IEEE 2013 [Conference Report]. IEEE Comput. Intell. Mag. 9(1): 17-18 (2014) - [j116]Rudrasis Chakraborty, Chin-Teng Lin, Nikhil R. Pal:
Sensor (Group Feature) Selection with Controlled Redundancy in a Connectionist Framework. Int. J. Neural Syst. 24(6) (2014) - [j115]Monami Banerjee, Nikhil R. Pal:
Feature selection with SVD entropy: Some modification and extension. Inf. Sci. 264: 118-134 (2014) - [j114]Nikhil R. Pal, Kaushik Sarkar:
What and When Can We Gain From the Kernel Versions of C-Means Algorithm? IEEE Trans. Fuzzy Syst. 22(2): 363-379 (2014) - [j113]Amar Kishor, Amit K. Singh, Nikhil R. Pal:
Orness Measure of OWA Operators: A New Approach. IEEE Trans. Fuzzy Syst. 22(4): 1039-1045 (2014) - [j112]Pulak Purkait, Nikhil R. Pal, Bhabatosh Chanda:
A Fuzzy-Rule-Based Approach for Single Frame Super Resolution. IEEE Trans. Image Process. 23(5): 2277-2290 (2014) - 2013
- [j111]Nikhil R. Pal, Rupan Panja:
Finding short structural motifs for re-construction of proteins 3D structure. Appl. Soft Comput. 13(2): 1214-1221 (2013) - [j110]Nikhil R. Pal:
IEEE CIS Publications Activities Vision Statement [Society Briefs]. IEEE Comput. Intell. Mag. 8(1): 4-5 (2013) - [j109]Nikhil R. Pal, Humberto Bustince Sola, Miguel Pagola, U. K. Mukherjee, D. P. Goswami, Gleb Beliakov:
Uncertainties with Atanassov's intuitionistic fuzzy sets: Fuzziness and lack of knowledge. Inf. Sci. 228: 61-74 (2013) - [j108]Pradip Ghanty, Nikhil R. Pal, Rajani K. Mudi:
Prediction of protein secondary Structure using Probability Based Features and a Hybrid System. J. Bioinform. Comput. Biol. 11(5) (2013) - [j107]Yang-Yin Lin, Jyh-Yeong Chang, Nikhil R. Pal, Chin-Teng Lin:
A Mutually Recurrent Interval Type-2 Neural Fuzzy System (MRIT2NFS) With Self-Evolving Structure and Parameters. IEEE Trans. Fuzzy Syst. 21(3): 492-509 (2013) - [j106]Arpita Chakraborty, Amit Konar, Nikhil R. Pal, Lakhmi C. Jain:
Extending the Contraposition Property of Propositional Logic for Fuzzy Abduction. IEEE Trans. Fuzzy Syst. 21(4): 719-734 (2013) - [j105]Anisha Halder, Amit Konar, Rajshree Mandal, Aruna Chakraborty, Pavel Bhowmik, Nikhil R. Pal, Atulya K. Nagar:
General and Interval Type-2 Fuzzy Face-Space Approach to Emotion Recognition. IEEE Trans. Syst. Man Cybern. Syst. 43(3): 587-605 (2013) - 2012
- [j104]Yi-Cheng Chen, Nikhil R. Pal, I-Fang Chung:
An Integrated Mechanism for Feature Selection and Fuzzy Rule Extraction for Classification. IEEE Trans. Fuzzy Syst. 20(4): 683-698 (2012) - [j103]Rajesh Kumar, Nikhil R. Pal, Bhabatosh Chanda, J. D. Sharma:
Forensic Detection of Fraudulent Alteration in Ball-Point Pen Strokes. IEEE Trans. Inf. Forensics Secur. 7(2): 809-820 (2012) - 2011
- [j102]Gleb Beliakov, Humberto Bustince Sola, D. P. Goswami, U. K. Mukherjee, Nikhil R. Pal:
On averaging operators for Atanassov's intuitionistic fuzzy sets. Inf. Sci. 181(6): 1116-1124 (2011) - 2010
- [j101]Nikhil R. Pal, Chin-Teng Lin:
Editorial. IEEE Trans. Fuzzy Syst. 18(6): 1025-1026 (2010) - 2009
- [j100]Pradip Ghanty, Samrat Paul, Nikhil R. Pal:
NEUROSVM: An Architecture to Reduce the Effect of the Choice of Kernel on the Performance of SVM. J. Mach. Learn. Res. 10: 591-622 (2009) - 2008
- [j99]Yu-Shuen Tsai, Chin-Teng Lin, George C. Tseng, I-Fang Chung, Nikhil R. Pal:
Discovery of dominant and dormant genes from expression data using a novel generalization of SNR for multi-class problems. BMC Bioinform. 9 (2008) - [j98]Nikhil R. Pal, Chien-Yao Chuang, Li-Wei Ko, Chih-Feng Chao, Tzyy-Ping Jung, Sheng-Fu Liang, Chin-Teng Lin:
EEG-Based Subject- and Session-independent Drowsiness Detection: An Unsupervised Approach. EURASIP J. Adv. Signal Process. 2008 (2008) - [j97]Nikhil R. Pal, Brojeshwar Bhowmick, Sanjaya K. Patel, Srimanta Pal, J. Das:
A multi-stage neural network aided system for detection of microcalcifications in digitized mammograms. Neurocomputing 71(13-15): 2625-2634 (2008) - [j96]Nikhil R. Pal, Animesh Sharma, Somitra Kumar Sanadhya:
Deriving meaningful rules from gene expression data for classification. J. Intell. Fuzzy Syst. 19(3): 171-180 (2008) - [j95]Arijit Laha, Bhabatosh Chanda, Nikhil R. Pal:
Fast codebook searching in a SOM-based vector quantizer for image compression. Signal Image Video Process. 2(1): 39-49 (2008) - [j94]Debrup Chakraborty, Nikhil R. Pal:
Selecting Useful Groups of Features in a Connectionist Framework. IEEE Trans. Neural Networks 19(3): 381-396 (2008) - [j93]Nikhil R. Pal, Seemanti Saha:
Simultaneous Structure Identification and Fuzzy Rule Generation for Takagi-Sugeno Models. IEEE Trans. Syst. Man Cybern. Part B 38(6): 1626-1638 (2008) - 2007
- [j92]Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shun-ichi Amari:
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering. BMC Bioinform. 8 (2007) - [j91]Nikhil Ranjan Pal, Somitra Kumar Sanadhya, Animesh Sharma:
Computation of consensus hydrophobicity scales with self-organizing maps and fuzzy clustering along with applications to protein fold prediction. Neural Parallel Sci. Comput. 15(1): 75-90 (2007) - 2006
- [j90]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) - [j89]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) - [j88]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. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 14(6): 639-661 (2006) - [j87]Arijit Laha, Nikhil R. Pal, Jyotirmay Das:
Land cover classification using fuzzy rules and aggregation of contextual information through evidence theory. IEEE Trans. Geosci. Remote. Sens. 44(6): 1633-1641 (2006) - [j86]Durga Prasad Muni, Nikhil R. Pal, Jyotirmay Das:
Genetic programming for simultaneous feature selection and classifier design. IEEE Trans. Syst. Man Cybern. Part B 36(1): 106-117 (2006) - 2005
- [j85]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) - [j84]Nikola K. Kasabov, Hojjat Adeli, Nikhil R. Pal:
Introduction. Int. J. Neural Syst. 15(1-2) (2005) - [j83]Nikhil R. Pal, James M. Keller, Mihail Popescu, James C. Bezdek, Joyce A. Mitchell, Jacalyn M. Huband:
Gene Ontology-based Knowledge Discovery Through Fuzzy Cluster Analysis. Neural Parallel Sci. Comput. 13: 337-362 (2005) - [j82]Nikhil R. Pal, Kuhu Pal, James M. Keller, James C. Bezdek:
A Possibilistic Fuzzy c-Means Clustering Algorithm. IEEE Trans. Fuzzy Syst. 13(4): 517-530 (2005) - 2004
- [j81]Srimanta Pal, Nikhil R. Pal, Amitava Datta:
A Multi-layer Dynamic Neural Network for Convex-Hull Computation. Neural Parallel Sci. Comput. 12(4): 505-524 (2004) - [j80]Durga Prasad Muni, Nikhil R. Pal, Jyotirmay Das:
A novel approach to design classifiers using genetic programming. IEEE Trans. Evol. Comput. 8(2): 183-196 (2004) - [j79]James M. Keller, Nikhil R. Pal:
Editorial. IEEE Trans. Fuzzy Syst. 12(5): 577-578 (2004) - [j78]Arijit Laha, Nikhil R. Pal, Bhabatosh Chanda:
Design of vector quantizer for image compression using self-organizing feature map and surface fitting. IEEE Trans. Image Process. 13(10): 1291-1303 (2004) - [j77]Debrup Chakraborty, Nikhil R. Pal:
A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification. IEEE Trans. Neural Networks 15(1): 110-123 (2004) - 2003
- [j76]Nikhil R. Pal, Rajani K. Mudi:
Computational intelligence for decision-making systems. Int. J. Intell. Syst. 18(5): 483-486 (2003) - [j75]Tandra Pal, Nikhil R. Pal, Manoranjan Pal:
Learning fuzzy rules for controllers with genetic algorithms. Int. J. Intell. Syst. 18(5): 569-592 (2003) - [j74]Srimanta Pal, Nikhil R. Pal:
Connectionist Models for Approximate Solutions of Non-linear Equations in One Variable. Neural Parallel Sci. Comput. 11(3): 185-206 (2003) - [j73]Subhash C. Bagui, Sikha Bagui, Kuhu Pal, Nikhil R. Pal:
Breast cancer detection using rank nearest neighbor classification rules. Pattern Recognit. 36(1): 25-34 (2003) - [j72]Tandra Pal, Nikhil R. Pal:
SOGARG: A self-organized genetic algorithm-based rule generation scheme for fuzzy controllers. IEEE Trans. Evol. Comput. 7(4): 397-415 (2003) - [j71]Nikhil R. Pal, Srimanta Pal, Jyotirmay Das, Kausik Kumar Majumdar:
SOFM-MLP: a hybrid neural network for atmospheric temperature prediction. IEEE Trans. Geosci. Remote. Sens. 41(12): 2783-2791 (2003) - [j70]Debrup Chakraborty, Nikhil R. Pal:
A novel training scheme for multilayered perceptrons to realize proper generalization and incremental learning. IEEE Trans. Neural Networks 14(1): 1-14 (2003) - 2002
- [j69]Nikhil R. Pal, Srimanta Pal:
Editorial: Computational Intelligence for Pattern Recognition. Int. J. Pattern Recognit. Artif. Intell. 16(7): 773-780 (2002) - [j68]Sukumar Chakraborty, Kuhu Pal, Nikhil R. Pal:
A neuro-fuzzy framework for inferencing. Neural Networks 15(1): 247-261 (2002) - [j67]Nikhil R. Pal, Vijay K. Eluri, Gautam K. Mandal:
Fuzzy logic approaches to structure preserving dimensionality reduction. IEEE Trans. Fuzzy Syst. 10(3): 277-286 (2002) - [j66]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 Trans. Syst. Man Cybern. Part B 32(4): 470-482 (2002) - [j65]Swapan Raha, Nikhil R. Pal, Kumar Sankar Ray:
Similarity-based approximate reasoning: methodology and application. IEEE Trans. Syst. Man Cybern. Part A 32(4): 541-547 (2002) - [j64]Nikhil R. Pal, James C. Bezdek:
Complexity reduction for "large image" processing. IEEE Trans. Syst. Man Cybern. Part B 32(5): 598-611 (2002) - 2001
- [j63]Rajani K. Mudi, Nikhil R. Pal:
A note on fuzzy PI-type controllers with resetting action. Fuzzy Sets Syst. 121(1): 149-159 (2001) - [j62]Kuhu Pal, Nikhil R. Pal:
Connectionist Models in Materials Science: Characterisation of the Sorption Properties of Hydrogen Storage Materials. Neural Comput. Appl. 10(3): 195-205 (2001) - [j61]Arijit Laha, Nikhil R. Pal:
Dynamic generation of prototypes with self-organizing feature maps for classifier design. Pattern Recognit. 34(2): 315-321 (2001) - [j60]Nikhil R. Pal, Tobias C. Cahoon, James C. Bezdek, Kuhu Pal:
A new approach to target recognition for LADAR data. IEEE Trans. Fuzzy Syst. 9(1): 44-52 (2001) - [j59]Srimanta Pal, Amitava Datta, Nikhil R. Pal:
A multilayer self-organizing model for convex-hull computation. IEEE Trans. Neural Networks 12(6): 1341-1347 (2001) - [j58]Nikhil R. Pal, Susmita Ghosh:
Some classification algorithms integrating Dempster-Shafer theory of evidence with the rank nearest neighbor rules. IEEE Trans. Syst. Man Cybern. Part A 31(1): 59-66 (2001) - [j57]Debrup Chakraborty, Nikhil R. Pal:
Integrated feature analysis and fuzzy rule-based system identification in a neuro-fuzzy paradigm. IEEE Trans. Syst. Man Cybern. Part B 31(3): 391-400 (2001) - [j56]Nikhil R. Pal, Sukumar Chakraborty:
Fuzzy rule extraction from ID3-type decision trees for real data. IEEE Trans. Syst. Man Cybern. Part B 31(5): 745-754 (2001) - [j55]Arijit Laha, Nikhil R. Pal:
Some novel classifiers designed using prototypes extracted by a new scheme based on self-organizing feature map. IEEE Trans. Syst. Man Cybern. Part B 31(6): 881-890 (2001) - 2000
- [j54]Rajani K. Mudi, Nikhil R. Pal:
A self-tuning fuzzy PI controller. Fuzzy Sets Syst. 115(2): 327-338 (2000) - [j53]Nikhil R. Pal, Debrup Chakraborty:
Mountain and subtractive clustering method: Improvements and generalizations. Int. J. Intell. Syst. 15(4): 329-341 (2000) - [j52]Amitava Datta, Sankar K. Pal, Nikhil R. Pal:
A connectionist model for convex-hull of a planar set. Neural Networks 13(3): 377-384 (2000) - [j51]Sambhunath Biswas, Nikhil R. Pal:
On hierarchical segmentation for image compression. Pattern Recognit. Lett. 21(2): 131-144 (2000) - 1999
- [j50]Nikhil R. Pal:
Soft computing for pattern recognition. Fuzzy Sets Syst. 103(2): 197-200 (1999) - [j49]Nikhil Ranjan Pal:
Soft computing for feature analysis. Fuzzy Sets Syst. 103(2): 201-221 (1999) - [j48]Nikhil R. Pal, Tandra Pal:
On rule pruning using fuzzy neural networks. Fuzzy Sets Syst. 106(3): 335-347 (1999) - [j47]Nikhil R. Pal:
On quantification of different facets of uncertainty. Fuzzy Sets Syst. 107(1): 81-91 (1999) - [j46]Kuhu Pal, Nikhil R. Pal:
A neuro-fuzzy system for inferencing. Int. J. Intell. Syst. 14(11): 1155-1182 (1999) - [j45]Nikhil R. Pal, Kuhu Pal:
Handling of inconsistent rules with an extended model of fuzzy reasoning. J. Intell. Fuzzy Syst. 7(1): 55-73 (1999) - [j44]Rajani K. Mudi, Nikhil R. Pal:
A robust self-tuning scheme for PI- and PD-type fuzzy controllers. IEEE Trans. Fuzzy Syst. 7(1): 2-16 (1999) - [j43]James C. Bezdek, James M. Keller, Raghu Krishnapuram, Ludmila I. Kuncheva, Nikhil R. Pal:
Will the real iris data please stand up? IEEE Trans. Fuzzy Syst. 7(3): 368-369 (1999) - [j42]Nikhil R. Pal, Gautam K. Mandal, Eluri Vijaya Kumar:
Comments on "A fuzzy neural network and its application to pattern recognition". IEEE Trans. Fuzzy Syst. 7(4): 479-480 (1999) - 1998
- [j41]Kuhu Pal, Nikhil R. Pal, James M. Keller:
Some neural net realizations of fuzzy reasoning. Int. J. Intell. Syst. 13(9): 859-886 (1998) - [j40]Nikhil R. Pal, Suchismita Nandi, Malay Kumar Kundu:
Self-crossover-a new genetic operator and its application to feature selection. Int. J. Syst. Sci. 29(2): 207-212 (1998) - [j39]Nikhil R. Pal, Vijay K. Eluri:
Two efficient connectionist schemes for structure preserving dimensionality reduction. IEEE Trans. Neural Networks 9(6): 1142-1154 (1998) - [j38]James C. Bezdek, Nikhil R. Pal:
Some new indexes of cluster validity. IEEE Trans. Syst. Man Cybern. Part B 28(3): 301-315 (1998) - 1997
- [j37]Rohan Hemasinha, Nikhil R. Pal, James C. Bezdek:
The determinant of a fuzzy matrix with respect to t and co-t norms. Fuzzy Sets Syst. 87(3): 297-306 (1997) - [j36]Nikhil R. Pal, Sukumar Chakraborty, A. Bagchi:
RID3: An ID3-Like Algorithm for Real Data. Inf. Sci. 96(3&4): 271-290 (1997) - [j35]Nikhil R. Pal, J. Biswas:
Cluster validation using graph theoretic concepts. Pattern Recognit. 30(6): 847-857 (1997) - [j34]Rajat K. De, Nikhil R. Pal, Sankar K. Pal:
Feature analysis: Neural network and fuzzy set theoretic approaches. Pattern Recognit. 30(10): 1579-1590 (1997) - [j33]Nikhil R. Pal, James C. Bezdek:
Correction to "On Cluster Validity for the Fuzzy c-Means Model" [Correspondence]. IEEE Trans. Fuzzy Syst. 5(1): 152-153 (1997) - 1996
- [j32]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) - [j31]Sambhunath Biswas, Nikhil R. Pal, Sankar K. Pal:
Smoothing of digital images using the concept of diffusion process. Pattern Recognit. 29(3): 497-510 (1996) - [j30]Nikhil R. Pal:
On minimum cross-entropy thresholding. Pattern Recognit. 29(4): 575-580 (1996) - [j29]Nicolaos B. Karayiannis, James C. Bezdek, Nikhil R. Pal, Richard J. Hathaway, Pin-I Pai:
Repairs to GLVQ: a new family of competitive learning schemes. IEEE Trans. Neural Networks 7(5): 1062-1071 (1996) - 1995
- [j28]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) - [j27]James C. Bezdek, Nikhil R. Pal:
Two soft relatives of learning vector quantization. Neural Networks 8(5): 729-743 (1995) - [j26]James C. Bezdek, Richard J. Hathaway, Nikhil R. Pal:
Norm-induced shell-prototypes (NISP) clustering. Neural Parallel Sci. Comput. 3(4): 431-449 (1995) - [j25]James C. Bezdek, Nikhil R. Pal:
An index of topological preservation for feature extraction. Pattern Recognit. 28(3): 381-391 (1995) - [j24]Subhash C. Bagui, Nikhil R. Pal:
A multistage generalization of the rank nearest neighbor classification rule. Pattern Recognit. Lett. 16(6): 601-614 (1995) - [j23]Nikhil R. Pal, James C. Bezdek:
On cluster validity for the fuzzy c-means model. IEEE Trans. Fuzzy Syst. 3(3): 370-379 (1995) - [j22]Ashish Ghosh, Nikhil R. Pal, Sankar K. Pal:
Modeling of component failure in neural networks for robustness evaluation: an application to object extraction. IEEE Trans. Neural Networks 6(3): 648-656 (1995) - [j21]James C. Bezdek, Nikhil R. Pal:
A note on self-organizing semantic maps. IEEE Trans. Neural Networks 6(5): 1029-1036 (1995) - 1994
- [j20]Takeshi Yamakawa, Nikhil R. Pal:
Preface: International Conference on fuzzy logic and Neural Networks (IIZUKA '92). Int. J. Approx. Reason. 10(1): 1-2 (1994) - [j19]Dinabandhu Bhandari, Nikhil R. Pal, Sankar K. Pal:
Directed Mutation in Gennetic Algorithms. Inf. Sci. 79(3-4): 251-270 (1994) - [j18]Eric Chen-Kuo Tsao, James C. Bezdek, Nikhil R. Pal:
Fuzzy Kohonen clustering networks. Pattern Recognit. 27(5): 757-764 (1994) - [j17]Nikhil R. Pal, James C. Bezdek:
Measuring fuzzy uncertainty. IEEE Trans. Fuzzy Syst. 2(2): 107-118 (1994) - 1993
- [j16]Nikhil R. Pal, James C. Bezdek, Rohan Hemasinha:
Uncertainty measures for evidential reasoning II: A new measure of total uncertainty. Int. J. Approx. Reason. 8(1): 1-16 (1993) - [j15]Dinabandhu Bhandari, Nikhil R. Pal:
Some new information measures for fuzzy sets. Inf. Sci. 67(3): 209-228 (1993) - [j14]Nikhil R. Pal, Pratik Pal, Anupam K. Basu:
A new shape representation scheme and its application to shape discrimination using a neural network. Pattern Recognit. 26(4): 543-551 (1993) - [j13]Nikhil R. Pal, Sankar K. Pal:
A review on image segmentation techniques. Pattern Recognit. 26(9): 1277-1294 (1993) - [j12]Nikhil R. Pal, Dinabandhu Bhandari:
Image thresholding: Some new techniques. Signal Process. 33(2): 139-158 (1993) - [j11]Ashish Ghosh, Nikhil R. Pal, Sankar K. Pal:
Self-organization for object extraction using a multilayer neural network and fuzziness measures. IEEE Trans. Fuzzy Syst. 1(1): 54 (1993) - [j10]Nikhil R. Pal, James C. Bezdek, Eric Chen-Kuo Tsao:
Generalized clustering networks and Kohonen's self-organizing scheme. IEEE Trans. Neural Networks 4(4): 549-557 (1993) - 1992
- [j9]Nikhil R. Pal, James C. Bezdek, Rohan Hemasinha:
Uncertainty measures for evidential reasoning I: A review. Int. J. Approx. Reason. 7(3-4): 165-183 (1992) - [j8]Ashish Ghosh, Nikhil R. Pal, Sankar K. Pal:
Object Background Classification Using Hopfield Type Neural Network. Int. J. Pattern Recognit. Artif. Intell. 6(5): 989-1008 (1992) - [j7]Nikhil R. Pal, Sankar K. Pal:
Higher order fuzzy entropy and hybrid entropy of a set. Inf. Sci. 61(3): 211-231 (1992) - [j6]Nikhil R. Pal, Sankar K. Pal:
Some properties of the exponential entropy. Inf. Sci. 66(1-2): 119-137 (1992) - [j5]Dinabandhu Bhandari, Nikhil R. Pal, D. Dutta Majumder:
Fuzzy divergence, probability measure of fuzzy events and image thresholding. Pattern Recognit. Lett. 13(12): 857-867 (1992) - 1991
- [j4]Ashish Ghosh, Nikhil R. Pal, Sankar K. Pal:
Image segmentation using a neural network. Biol. Cybern. 66(2): 151-158 (1991) - [j3]Nikhil R. Pal, Sankar K. Pal:
Image Model, Poisson Distribution and Object Extraction. Int. J. Pattern Recognit. Artif. Intell. 5(3): 459-484 (1991) - [j2]Nikhil R. Pal, Sankar K. Pal:
Entropy: a new definition and its applications. IEEE Trans. Syst. Man Cybern. 21(5): 1260-1270 (1991) - 1987
- [j1]Sankar K. Pal, Nikhil R. Pal:
Segmentation using contrast and homogeneity measures. Pattern Recognit. Lett. 5(4): 293-304 (1987)
Conference and Workshop Papers
- 2022
- [c48]Huaqing Zhang, Yunqi Jiang, Jian Wang, Kai Zhang, Nikhil R. Pal:
An interpretable Neural Network and Its Application in Inferring Inter-well Connectivity. CACML 2022: 487-491 - [c47]Suchismita Das, Nikhil R. Pal:
Understanding the Classes Better with Class-Specific and Rule-Specific Feature Selection, and Redundancy Control in a Fuzzy Rule Based Framework. IDEAL 2022: 338-347 - 2021
- [c46]Yunqi Jiang, Huaqing Zhang, Jian Wang, Kai Zhang, Nikhil R. Pal:
Constraint Interpretable Double Parallel Neural Network and Its Applications in the Petroleum Industry. ICIC (1) 2021: 415-423 - 2020
- [c45]Chin-Teng Lin, Kuan-Chih Huang, Nikhil R. Pal, Zehong Cao, Yu-Ting Liu, Chieh-Ning Fang, Tsung-Yu Hsieh, Yang-Yin Lin, Shang-Lin Wu:
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface. iFUZZY 2020: 1-8 - 2019
- [c44]Suvra Jyoti Choudhury, Nikhil R. Pal:
Classification of Incomplete Data Using Autoencoder and Evidential Reasoning. AIAI 2019: 167-177 - [c43]Suchismita Das, Nikhil R. Pal:
An Unsupervised Fuzzy Rule-Based Method for Structure Preserving Dimensionality Reduction with Prediction Ability. AIAI 2019: 413-424 - 2018
- [c42]Qin Chang, Junze Wang, Huaqing Zhang, Lina Shi, Jian Wang, Nikhil R. Pal:
Structure Optimization of Neural Networks with L1 Regularization on Gates. SSCI 2018: 196-203 - 2017
- [c41]Ignacio Montes, Susana Montes, Nikhil R. Pal:
On the Use of Divergences for Defining Entropies for Atanassov Intuitionistic Fuzzy Sets. EUSFLAT/IWIFSGN (2) 2017: 554-565 - 2016
- [c40]Chun-Liang Lu, Wei-Chun Tang, Yu-Shuen Tsai, Nikhil R. Pal, I-Fang Chung:
Feature Selection with Non-Linear Dependence Based on Multi-objective Strategy. BIBE 2016: 346-349 - [c39]Arthur Guillon, Marie-Jeanne Lesot, Christophe Marsala, Nikhil R. Pal:
Proximal Optimization for Fuzzy Subspace Clustering. IPMU (1) 2016: 675-686 - 2015
- [c38]Gustavo Ochoa, Inmaculada Lizasoain, Daniel Paternain, Humberto Bustince, Nikhil R. Pal:
Some properties of lattice OWA operators and their importance in image processing. IFSA-EUSFLAT 2015 - 2014
- [c37]Kaustuv Nag, Tandra Pal, Nikhil R. Pal:
Robust Consensus: A New Measure for Multicriteria Robust Group Decision Making Problems Using Evolutionary Approach. ICAISC (1) 2014: 384-394 - 2013
- [c36]Shang-Lin Wu, Chun-Wei Wu, Nikhil R. Pal, Chih-Yu Chen, Shi-An Chen:
Common spatial pattern and linear discriminant analysis for motor imagery classification. CCMB 2013: 146-151 - 2012
- [c35]Nikhil R. Pal, Mridul Malpani:
Redundancy-Constrained feature selection with radial basis function networks. IJCNN 2012: 1-8 - [c34]Nikhil Ranjan Pal:
Fuzzy Rule-Based Approaches to Dimensionality Reduction. PerMIn 2012: 23-27 - 2011
- [c33]Kaushik Sarkar, Nikhil R. Pal:
Is it rational to partition a data set using kernel-clustering? FUZZ-IEEE 2011: 2600-2605 - [c32]Ashraf Darwish, Aboul Ella Hassanien, Qing Tan, Nikhil R. Pal:
Securing Patients Medical Images and Authentication System Based on Public Key Infrastructure. SOCO 2011: 27-34 - 2010
- [c31]Nishchal K. Verma, Nikhil R. Pal:
Prediction of satellite images using fuzzy rule based Gaussian regression. AIPR 2010: 1-8 - [c30]Ashish Anand, Nikhil R. Pal, Ponnuthurai Nagaratnam Suganthan:
Integration of functional information of genes in fuzzy clustering of short time series gene expression data. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c29]Yu-Kai Wang, Nikhil R. Pal, Chin-Teng Lin, Shi-An Chen:
Analyzing effect of distraction caused by dual-tasks on sharing of brain resources using SOM. IJCNN 2010: 1-6 - 2009
- [c28]Hwa-Shan Huang, Nikhil R. Pal, Li-Wei Ko, Chin-Teng Lin:
Automatic identification of useful independent components with a view to removing artifacts from eeg signal. IJCNN 2009: 1267-1271 - [c27]Rajesh Kumar, Nikhil R. Pal, J. D. Sharma, Bhabatosh Chanda:
A Novel Approach for Detection of Alteration in Ball Pen Writings. PReMI 2009: 400-405 - 2008
- [c26]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 - 2007
- [c25]Nikhil R. Pal:
A Fuzzy Rule Based approach to Identify Biomarkers for Diagnostic Classification of Cancers. FUZZ-IEEE 2007: 1-6 - [c24]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 - [c23]Debrup Chakraborty, Nikhil R. Pal:
Strict Generalization in Multilayered Perceptron Networks. IFSA (1) 2007: 722-731 - 2006
- [c22]Durga Prasad Muni, Nikhil R. Pal, Jyotirmay Das:
Texture Generation for Fashion Design Using Genetic Programming. ICARCV 2006: 1-5 - [c21]Arijit Laha, Bhabatosh Chanda, Nikhil R. Pal:
Accelerated codebook searching in a SOM-based Vector Quantizer. IJCNN 2006: 3306-3311 - 2004
- [c20]Nikhil R. Pal, Kuhu Pal, James M. Keller, James C. Bezdek:
A new hybrid c-means clustering model. FUZZ-IEEE 2004: 179-184 - 2003
- [c19]Debrup Chakraborty, Nikhil R. Pal:
Two connectionist schemes for selecting groups of features (sensors). FUZZ-IEEE 2003: 161-166 - [c18]Sukumar Chakraborty, Nikhil R. Pal:
Selection of structure preserving features with neural networks. FUZZ-IEEE 2003: 822-827 - [c17]Nikhil R. Pal:
Computational intelligence for structure preserving dimensionality reduction and feature analysis. FUZZ-IEEE 2003: 1496 - [c16]Nikhil R. Pal:
On-Line Feature and Sensor Selection - The Way To Go. HIS 2003: 6 - [c15]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 - [c14]Nikhil R. Pal, Debrup Chakraborty:
Some New Features for Protein Fold Prediction. ICANN 2003: 1176-1183 - [c13]Ashish Ghosh, Nikhil R. Pal, Jyotirmay Das:
Fuzzy rule based approaches for cloud cover estimation using Meteosat 5 images. IGARSS 2003: 3438-3440 - 2002
- [c12]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 - [c11]Debrup Chakraborty, Nikhil R. Pal:
Designing Rule-Based Classifiers with On-Line Feature Selection: A Neuro-fuzzy Approach. AFSS 2002: 251-259 - 2000
- [c10]Tandra Pal, Nikhil R. Pal, S. Deb Ray:
A self-organized rule generation scheme for fuzzy controllers. FUZZ-IEEE 2000: 13-18 - 1999
- [c9]Malay K. Kundu, Nikhil R. Pal:
Self-Crossover and Its Application to the Travelling Salesman Problem. IEA/AIE 1999: 326-332 - 1998
- [c8]Nikhil R. Pal, Kallol Banerjee, Yoichi Hayashi:
SUM-PI Network: A New Multilayered Feed-Forward Network. ICONIP 1998: 687-690 - [c7]Kuhu Pal, Nikhil R. Pal:
Modeling Dehydriding Behavior of Hydrogen Storage Materials with Neural Networks. ICONIP 1998: 703-706 - [c6]Ponnuthurai N. Suganthan, Nikhil R. Pal:
Pattern Classification Using Multiple SOMs. ICONIP 1998: 1065-1068 - 1997
- [c5]Nikhil R. Pal, Kuhu Pal, James C. Bezdek, Thomas A. Runkler:
Some issues in system identification using clustering. ICNN 1997: 2524-2529 - [c4]Nikhil R. Pal, Eluri Vijaya Kumar:
Neural Networks for Dimensionality Reduction. ICONIP (1) 1997: 221-224 - 1995
- [c3]James C. Bezdek, Nikhil R. Pal:
Cluster Validation with Generalized Dunn's Indices. ANNES 1995: 190-193 - [c2]Jayanta Basak, Nikhil R. Pal, P. S. Patel:
A connectionist model for graytone thinning. ICNN 1995: 1460-1465 - [c1]James C. Bezdek, Richard J. Hathaway, Nikhil R. Pal:
Shell-prototype clustering models. ICNN 1995: 1617-1621
Editorship
- 2023
- [e4]Pradipta Maji, Tingwen Huang, Nikhil R. Pal, Santanu Chaudhury, Rajat K. De:
Pattern Recognition and Machine Intelligence - 10th International Conference, PReMI 2023, Kolkata, India, December 12-15, 2023, Proceedings. Lecture Notes in Computer Science 14301, Springer 2023, ISBN 978-3-031-45169-0 [contents] - 2015
- [e3]Adnan Yazici, Nikhil R. Pal, Uzay Kaymak, Trevor Martin, Hisao Ishibuchi, Chin-Teng Lin, João M. C. Sousa, Bülent Tütmez:
2015 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015, Istanbul, Turkey, August 2-5, 2015. IEEE 2015, ISBN 978-1-4673-7428-6 [contents] - 2004
- [e2]Nikhil R. Pal, Nikola K. Kasabov, Rajani K. Mudi, Srimanta Pal, Swapan K. Parui:
Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings. Lecture Notes in Computer Science 3316, Springer 2004, ISBN 3-540-23931-6 [contents] - 2002
- [e1]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. Lecture Notes in Computer Science 2275, Springer 2002, ISBN 3-540-43150-0 [contents]
Informal and Other Publications
- 2023
- [i11]Suvam Roy, Nikhil Ranjan Pal:
An anatomy-based V1 model: Extraction of Low-level Features, Reduction of distortion and a V1-inspired SOM. CoRR abs/2302.09074 (2023) - [i10]Suchismita Das, Nikhil R. Pal:
Feature selection simultaneously preserving both class and cluster structures. CoRR abs/2307.03902 (2023) - [i9]Aytijhya Saha, Nikhil R. Pal:
Group-Feature (Sensor) Selection With Controlled Redundancy Using Neural Networks. CoRR abs/2310.20524 (2023) - [i8]Neeraj Kumar Singh, Nikhil R. Pal:
Convolutional Neural Networks Exploiting Attributes of Biological Neurons. CoRR abs/2311.08314 (2023) - 2022
- [i7]Guangdong Xue, Qin Chang, Jian Wang, Kai Zhang, Nikhil R. Pal:
An Adaptive Neuro-Fuzzy System with Integrated Feature Selection and Rule Extraction for High-Dimensional Classification Problems. CoRR abs/2201.03187 (2022) - [i6]Suchismita Das, Nikhil R. Pal:
Understanding the classes better with class-specific and rule-specific feature selection, and redundancy control in a fuzzy rule based framework. CoRR abs/2208.01294 (2022) - 2020
- [i5]Suchismita Das, Nikhil R. Pal:
Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-based Approach. CoRR abs/2004.03922 (2020) - 2019
- [i4]Chin-Teng Lin, Yu-Ting Liu, Chun-Hsiang Chuang, Nikhil R. Pal, Yang-Yin Lin, Tsung-Yu Hsieh, Chieh-Ning Fang, Zehong Cao:
An Adaptive Subspace Self-Organizing Map (ASSOM) Imbalanced Learning and Its Applications in EEG. CoRR abs/1906.02772 (2019) - 2018
- [i3]Chun-Hsiang Chuang, Zehong Cao, Yu-Kai Wang, Po-Tsang Chen, Chih-Sheng Huang, Nikhil R. Pal, Chin-Teng Lin:
Dynamically Weighted Ensemble-based Prediction System for Adaptively Modeling Driver Reaction Time. CoRR abs/1809.06675 (2018) - 2009
- [i2]Nikhil R. Pal, Arijit Laha, Jyotirmay Das:
Designing fuzzy rule based classifier using self-organizing feature map for analysis of multispectral satellite images. CoRR abs/0911.4414 (2009) - [i1]Arijit Laha, Nikhil R. Pal, Jyotirmay Das:
Land cover classification using fuzzy rules and aggregation of contextual information through evidence theory. CoRR abs/0911.4416 (2009)
Coauthor Index
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