Segmentation using contrast and homogeneity measures. - Sankar K. Pal; Nikhil R. Pal (Pattern Recognit. Lett., 1987)

Image segmentation using a neural network. - Ashish Ghosh; Nikhil R. Pal; Sankar K. Pal (Biol. Cybern., 1991)

Image Model, Poisson Distribution and Object Extraction. - Nikhil R. Pal; Sankar K. Pal (Int. J. Pattern Recognit. Artif. Intell., 1991)

Entropy: a new definition and its applications. - Nikhil R. Pal; Sankar K. Pal (IEEE Trans. Syst. Man Cybern., 1991)

Uncertainty measures for evidential reasoning I: A review. - Nikhil R. Pal; James C. Bezdek; Rohan Hemasinha (Int. J. Approx. Reason., 1992)

Object Background Classification Using Hopfield Type Neural Network. - Ashish Ghosh; Nikhil R. Pal; Sankar K. Pal (Int. J. Pattern Recognit. Artif. Intell., 1992)

Some properties of the exponential entropy. - Nikhil R. Pal; Sankar K. Pal (Inf. Sci., 1992)

Higher order fuzzy entropy and hybrid entropy of a set. - Nikhil R. Pal; Sankar K. Pal (Inf. Sci., 1992)

Fuzzy divergence, probability measure of fuzzy events and image thresholding. - Dinabandhu Bhandari; Nikhil R. Pal; D. Dutta Majumder (Pattern Recognit. Lett., 1992)

Uncertainty measures for evidential reasoning II: A new measure of total uncertainty. - Nikhil R. Pal; James C. Bezdek; Rohan Hemasinha (Int. J. Approx. Reason., 1993)

Some new information measures for fuzzy sets. - Dinabandhu Bhandari; Nikhil R. Pal (Inf. Sci., 1993)

A review on image segmentation techniques. - Nikhil R. Pal; Sankar K. Pal (Pattern Recognit., 1993)

A new shape representation scheme and its application to shape discrimination using a neural network. - Nikhil R. Pal; Pratik Pal; Anupam K. Basu (Pattern Recognit., 1993)

Image thresholding: Some new techniques. - Nikhil R. Pal; Dinabandhu Bhandari (Signal Process., 1993)

Self-organization for object extraction using a multilayer neural network and fuzziness measures. - Ashish Ghosh; Nikhil R. Pal; Sankar K. Pal (IEEE Trans. Fuzzy Syst., 1993)

Generalized clustering networks and Kohonen's self-organizing scheme. - Nikhil R. Pal; James C. Bezdek; Eric Chen-Kuo Tsao (IEEE Trans. Neural Networks, 1993)

Preface: International Conference on fuzzy logic and Neural Networks (IIZUKA '92). - Takeshi Yamakawa; Nikhil R. Pal (Int. J. Approx. Reason., 1994)

Directed Mutation in Gennetic Algorithms. - Dinabandhu Bhandari; Nikhil R. Pal; Sankar K. Pal (Inf. Sci., 1994)

Fuzzy Kohonen clustering networks. - Eric Chen-Kuo Tsao; James C. Bezdek; Nikhil R. Pal (Pattern Recognit., 1994)

Measuring fuzzy uncertainty. - Nikhil R. Pal; James C. Bezdek (IEEE Trans. Fuzzy Syst., 1994)

Cluster Validation with Generalized Dunn's Indices. - James C. Bezdek; Nikhil R. Pal (ANNES, 1995)

A connectionist model for graytone thinning. - Jayanta Basak; Nikhil R. Pal; P. S. Patel (ICNN, 1995)

Shell-prototype clustering models. - James C. Bezdek; Richard J. Hathaway; Nikhil R. Pal (ICNN, 1995)

A connectionist system for learning and recognition of structures: Application to handwritten characters. - Jayanta Basak; Nikhil R. Pal; Sankar K. Pal (Neural Networks, 1995)

Two soft relatives of learning vector quantization. - James C. Bezdek; Nikhil R. Pal (Neural Networks, 1995)

Norm-induced shell-prototypes (NISP) clustering. - James C. Bezdek; Richard J. Hathaway; Nikhil R. Pal (Neural Parallel Sci. Comput., 1995)

An index of topological preservation for feature extraction. - James C. Bezdek; Nikhil R. Pal (Pattern Recognit., 1995)

A multistage generalization of the rank nearest neighbor classification rule. - Subhash C. Bagui; Nikhil R. Pal (Pattern Recognit. Lett., 1995)

On cluster validity for the fuzzy c-means model. - Nikhil R. Pal; James C. Bezdek (IEEE Trans. Fuzzy Syst., 1995)

A note on self-organizing semantic maps. - James C. Bezdek; Nikhil R. Pal (IEEE Trans. Neural Networks, 1995)

Modeling of component failure in neural networks for robustness evaluation: an application to object extraction. - Ashish Ghosh; Nikhil R. Pal; Sankar K. Pal (IEEE Trans. Neural Networks, 1995)

Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms. - Nikhil R. Pal; James C. Bezdek; Richard J. Hathaway (Neural Networks, 1996)

Smoothing of digital images using the concept of diffusion process. - Sambhunath Biswas; Nikhil R. Pal; Sankar K. Pal (Pattern Recognit., 1996)

On minimum cross-entropy thresholding. - Nikhil R. Pal (Pattern Recognit., 1996)

Repairs to GLVQ: a new family of competitive learning schemes. - Nicolaos B. Karayiannis; James C. Bezdek; Nikhil R. Pal; Richard J. Hathaway; Pin-I Pai (IEEE Trans. Neural Networks, 1996)

Some issues in system identification using clustering. - Nikhil R. Pal; Kuhu Pal; James C. Bezdek; Thomas A. Runkler (ICNN, 1997)

Neural Networks for Dimensionality Reduction. - Nikhil R. Pal; Eluri Vijaya Kumar (ICONIP (1), 1997)

The determinant of a fuzzy matrix with respect to t and co-t norms. - Rohan Hemasinha; Nikhil R. Pal; James C. Bezdek (Fuzzy Sets Syst., 1997)

RID3: An ID3-Like Algorithm for Real Data. - Nikhil R. Pal; Sukumar Chakraborty; A. Bagchi (Inf. Sci., 1997)

Feature analysis: Neural network and fuzzy set theoretic approaches. - Rajat K. De; Nikhil R. Pal; Sankar K. Pal (Pattern Recognit., 1997)

Cluster validation using graph theoretic concepts. - Nikhil R. Pal; J. Biswas (Pattern Recognit., 1997)

Correction to "On Cluster Validity for the Fuzzy c-Means Model" [Correspondence]. - Nikhil R. Pal; James C. Bezdek (IEEE Trans. Fuzzy Syst., 1997)

SUM-PI Network: A New Multilayered Feed-Forward Network. - Nikhil R. Pal; Kallol Banerjee; Yoichi Hayashi (ICONIP, 1998)

Modeling Dehydriding Behavior of Hydrogen Storage Materials with Neural Networks. - Kuhu Pal; Nikhil R. Pal (ICONIP, 1998)

Pattern Classification Using Multiple SOMs. - Ponnuthurai N. Suganthan; Nikhil R. Pal (ICONIP, 1998)

Some neural net realizations of fuzzy reasoning. - Kuhu Pal; Nikhil R. Pal; James M. Keller (Int. J. Intell. Syst., 1998)

Self-crossover-a new genetic operator and its application to feature selection. - Nikhil R. Pal; Suchismita Nandi; Malay Kumar Kundu (Int. J. Syst. Sci., 1998)

Two efficient connectionist schemes for structure preserving dimensionality reduction. - Nikhil R. Pal; Vijay K. Eluri (IEEE Trans. Neural Networks, 1998)

Some new indexes of cluster validity. - James C. Bezdek; Nikhil R. Pal (IEEE Trans. Syst. Man Cybern. Part B, 1998)

Self-Crossover and Its Application to the Travelling Salesman Problem. - Malay K. Kundu; Nikhil R. Pal (IEA/AIE, 1999)

On quantification of different facets of uncertainty. - Nikhil R. Pal (Fuzzy Sets Syst., 1999)

Soft computing for pattern recognition. - Nikhil R. Pal (Fuzzy Sets Syst., 1999)

Soft computing for feature analysis. - Nikhil Ranjan Pal (Fuzzy Sets Syst., 1999)

On rule pruning using fuzzy neural networks. - Nikhil R. Pal; Tandra Pal 001 (Fuzzy Sets Syst., 1999)

A neuro-fuzzy system for inferencing. - Kuhu Pal; Nikhil R. Pal (Int. J. Intell. Syst., 1999)

Handling of inconsistent rules with an extended model of fuzzy reasoning. - Nikhil R. Pal; Kuhu Pal (J. Intell. Fuzzy Syst., 1999)

Will the real iris data please stand up? - James C. Bezdek; James M. Keller; Raghu Krishnapuram; Ludmila I. Kuncheva; Nikhil R. Pal (IEEE Trans. Fuzzy Syst., 1999)

A robust self-tuning scheme for PI- and PD-type fuzzy controllers. - Rajani K. Mudi; Nikhil R. Pal (IEEE Trans. Fuzzy Syst., 1999)

Comments on "A fuzzy neural network and its application to pattern recognition". - Nikhil R. Pal; Gautam K. Mandal; Eluri Vijaya Kumar (IEEE Trans. Fuzzy Syst., 1999)

A self-organized rule generation scheme for fuzzy controllers. - Tandra Pal 001; Nikhil R. Pal; S. Deb Ray (FUZZ-IEEE, 2000)

A self-tuning fuzzy PI controller. - Rajani K. Mudi; Nikhil R. Pal (Fuzzy Sets Syst., 2000)

Mountain and subtractive clustering method: Improvements and generalizations. - Nikhil R. Pal; Debrup Chakraborty (Int. J. Intell. Syst., 2000)

A connectionist model for convex-hull of a planar set. - Amitava Datta; Sankar K. Pal; Nikhil R. Pal (Neural Networks, 2000)

On hierarchical segmentation for image compression. - Sambhunath Biswas; Nikhil R. Pal (Pattern Recognit. Lett., 2000)

A note on fuzzy PI-type controllers with resetting action. - Rajani K. Mudi; Nikhil R. Pal (Fuzzy Sets Syst., 2001)

Connectionist Models in Materials Science: Characterisation of the Sorption Properties of Hydrogen Storage Materials. - Kuhu Pal; Nikhil R. Pal (Neural Comput. Appl., 2001)

Dynamic generation of prototypes with self-organizing feature maps for classifier design. - Arijit Laha; Nikhil R. Pal (Pattern Recognit., 2001)

A new approach to target recognition for LADAR data. - Nikhil R. Pal; Tobias C. Cahoon; James C. Bezdek; Kuhu Pal (IEEE Trans. Fuzzy Syst., 2001)

A multilayer self-organizing model for convex-hull computation. - Srimanta Pal; Amitava Datta; Nikhil R. Pal (IEEE Trans. Neural Networks, 2001)

Integrated feature analysis and fuzzy rule-based system identification in a neuro-fuzzy paradigm. - Debrup Chakraborty; Nikhil R. Pal (IEEE Trans. Syst. Man Cybern. Part B, 2001)

Some novel classifiers designed using prototypes extracted by a new scheme based on self-organizing feature map. - Arijit Laha; Nikhil R. Pal (IEEE Trans. Syst. Man Cybern. Part B, 2001)

Fuzzy rule extraction from ID3-type decision trees for real data. - Nikhil R. Pal; Sukumar Chakraborty (IEEE Trans. Syst. Man Cybern. Part B, 2001)

Some classification algorithms integrating Dempster-Shafer theory of evidence with the rank nearest neighbor rules. - Nikhil R. Pal; Susmita Ghosh (IEEE Trans. Syst. Man Cybern. Part A, 2001)

Should Tendency Assessment Precede Rule Extraction by Clustering? (No!). - James C. Bezdek; Nikhil R. Pal; Thomas A. Runkler; Kuhu Pal (Advances in Computational Intelligence and Learning, 2002)

Designing Rule-Based Classifiers with On-Line Feature Selection: A Neuro-fuzzy Approach. - Debrup Chakraborty; Nikhil R. Pal (AFSS, 2002)

Editorial: Computational Intelligence for Pattern Recognition. - Nikhil R. Pal; Srimanta Pal (Int. J. Pattern Recognit. Artif. Intell., 2002)

A neuro-fuzzy framework for inferencing. - Sukumar Chakraborty; Kuhu Pal; Nikhil R. Pal (Neural Networks, 2002)

Fuzzy logic approaches to structure preserving dimensionality reduction. - Nikhil R. Pal; Vijay K. Eluri; Gautam K. Mandal (IEEE Trans. Fuzzy Syst., 2002)

Complexity reduction for "large image" processing. - Nikhil R. Pal; James C. Bezdek (IEEE Trans. Syst. Man Cybern. Part B, 2002)

A new scheme for fuzzy rule-based system identification and its application to self-tuning fuzzy controllers. - Kuhu Pal; Rajani K. Mudi; Nikhil R. Pal (IEEE Trans. Syst. Man Cybern. Part B, 2002)

Similarity-based approximate reasoning: methodology and application. - Swapan Raha; Nikhil R. Pal; Kumar Sankar Ray (IEEE Trans. Syst. Man Cybern. Part A, 2002)

Two connectionist schemes for selecting groups of features (sensors). - Debrup Chakraborty; Nikhil R. Pal (FUZZ-IEEE, 2003)

Selection of structure preserving features with neural networks. - Sukumar Chakraborty; Nikhil R. Pal (FUZZ-IEEE, 2003)

Computational intelligence for structure preserving dimensionality reduction and feature analysis. - Nikhil R. Pal (FUZZ-IEEE, 2003)

On-Line Feature and Sensor Selection - The Way To Go. - Nikhil R. Pal (HIS, 2003)

Machine Learning for Multi-class Protein Fold Classification Based on Neural Networks with Feature Gating. - Chuen-Der Huang; I-Fang Chung; Nikhil R. Pal; Chin-Teng Lin (ICANN, 2003)

Some New Features for Protein Fold Prediction. - Nikhil R. Pal; Debrup Chakraborty (ICANN, 2003)

Fuzzy rule based approaches for cloud cover estimation using Meteosat 5 images. - Ashish Ghosh; Nikhil R. Pal; Jyotirmay Das (IGARSS, 2003)

Computational intelligence for decision-making systems. - Nikhil R. Pal; Rajani K. Mudi (Int. J. Intell. Syst., 2003)

Learning fuzzy rules for controllers with genetic algorithms. - Tandra Pal 001; Nikhil R. Pal; Manoranjan Pal (Int. J. Intell. Syst., 2003)

Connectionist Models for Approximate Solutions of Non-linear Equations in One Variable. - Srimanta Pal; Nikhil R. Pal (Neural Parallel Sci. Comput., 2003)

Breast cancer detection using rank nearest neighbor classification rules. - Subhash C. Bagui; Sikha Bagui; Kuhu Pal; Nikhil R. Pal (Pattern Recognit., 2003)

SOGARG: A self-organized genetic algorithm-based rule generation scheme for fuzzy controllers. - Tandra Pal 001; Nikhil R. Pal (IEEE Trans. Evol. Comput., 2003)

SOFM-MLP: a hybrid neural network for atmospheric temperature prediction. - Nikhil R. Pal; Srimanta Pal; Jyotirmay Das; Kausik Kumar Majumdar (IEEE Trans. Geosci. Remote. Sens., 2003)

A novel training scheme for multilayered perceptrons to realize proper generalization and incremental learning. - Debrup Chakraborty; Nikhil R. Pal (IEEE Trans. Neural Networks, 2003)

A new hybrid c-means clustering model. - Nikhil R. Pal; Kuhu Pal; James M. Keller; James C. Bezdek (FUZZ-IEEE, 2004)

A Multi-layer Dynamic Neural Network for Convex-Hull Computation. - Srimanta Pal; Nikhil R. Pal; Amitava Datta (Neural Parallel Sci. Comput., 2004)

A novel approach to design classifiers using genetic programming. - Durga Prasad Muni; Nikhil R. Pal; Jyotirmay Das (IEEE Trans. Evol. Comput., 2004)

Editorial. - James M. Keller; Nikhil R. Pal (IEEE Trans. Fuzzy Syst., 2004)

Design of vector quantizer for image compression using self-organizing feature map and surface fitting. - Arijit Laha; Nikhil R. Pal; Bhabatosh Chanda (IEEE Trans. Image Process., 2004)

A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification. - Debrup Chakraborty; Nikhil R. Pal (IEEE Trans. Neural Networks, 2004)

Relational mountain (density) clustering method and web log analysis. - Kuhu Pal; Nikhil R. Pal; James M. Keller; James C. Bezdek (Int. J. Intell. Syst., 2005)

Introduction. - Nikola K. Kasabov; Hojjat Adeli; Nikhil R. Pal (Int. J. Neural Syst., 2005)

Gene Ontology-based Knowledge Discovery Through Fuzzy Cluster Analysis. - Nikhil R. Pal; James M. Keller; Mihail Popescu; James C. Bezdek; Joyce A. Mitchell; Jacalyn M. Huband (Neural Parallel Sci. Comput., 2005)

A Possibilistic Fuzzy c-Means Clustering Algorithm. - Nikhil R. Pal; Kuhu Pal; James M. Keller; James C. Bezdek (IEEE Trans. Fuzzy Syst., 2005)

Texture Generation for Fashion Design Using Genetic Programming. - Durga Prasad Muni; Nikhil R. Pal; Jyotirmay Das (ICARCV, 2006)

Accelerated codebook searching in a SOM-based Vector Quantizer. - Arijit Laha; Bhabatosh Chanda; Nikhil R. Pal (IJCNN, 2006)

On identifying marker genes from gene expression data in a neural framework through online feature analysis. - Nikhil R. Pal; Animesh Sharma; Somitra Kumar Sanadhya; Karmeshu (Int. J. Intell. Syst., 2006)

A Novel Connectionist Framework for Computation of an Approximate Convex-hull of a Set of Planar Points, Circles and Ellipses. - Srimanta Pal; Sabyasachi Bhattacharya; Nikhil R. Pal (Int. J. Neural Syst., 2006)

Gene Ontology Similarity Measures Based on Linear Order Statistics. - James M. Keller; James C. Bezdek; Mihail Popescu; Nikhil R. Pal; Joyce A. Mitchell; Jacalyn M. Huband (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2006)

Land cover classification using fuzzy rules and aggregation of contextual information through evidence theory. - Arijit Laha; Nikhil R. Pal; Jyotirmay Das (IEEE Trans. Geosci. Remote. Sens., 2006)

Genetic programming for simultaneous feature selection and classifier design. - Durga Prasad Muni; Nikhil R. Pal; Jyotirmay Das (IEEE Trans. Syst. Man Cybern. Part B, 2006)

A Fuzzy Rule Based approach to Identify Biomarkers for Diagnostic Classification of Cancers. - Nikhil R. Pal (FUZZ-IEEE, 2007)

Identification of Different Sets of Biomarkers for Diagnostic Classification of Cancers. - Yu-Shuen Tsai; I-Fang Chung; Chin-Teng Lin; Nikhil R. Pal (ICONIP (2), 2007)

Strict Generalization in Multilayered Perceptron Networks. - Debrup Chakraborty; Nikhil R. Pal (IFSA (1), 2007)

Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering. - Nikhil R. Pal; Kripamoy Aguan; Animesh Sharma; Shun-ichi Amari (BMC Bioinform., 2007)

Computation of consensus hydrophobicity scales with self-organizing maps and fuzzy clustering along with applications to protein fold prediction. - Nikhil Ranjan Pal; Somitra Kumar Sanadhya; Animesh Sharma (Neural Parallel Sci. Comput., 2007)

An EEG-based subject- and session-independent drowsiness detection. - Chin-Teng Lin; Nikhil R. Pal; Chien-Yao Chuang; Tzyy-Ping Jung; Li-Wei Ko; Sheng-Fu Liang (IJCNN, 2008)

Discovery of dominant and dormant genes from expression data using a novel generalization of SNR for multi-class problems. - Yu-Shuen Tsai; Chin-Teng Lin; George C. Tseng; I-Fang Chung; Nikhil R. Pal (BMC Bioinform., 2008)

EEG-Based Subject- and Session-independent Drowsiness Detection: An Unsupervised Approach. - Nikhil R. Pal; Chien-Yao Chuang; Li-Wei Ko; Chih-Feng Chao; Tzyy-Ping Jung; Sheng-Fu Liang; Chin-Teng Lin (EURASIP J. Adv. Signal Process., 2008)

A multi-stage neural network aided system for detection of microcalcifications in digitized mammograms. - Nikhil R. Pal; Brojeshwar Bhowmick; Sanjaya K. Patel; Srimanta Pal; J. Das (Neurocomputing, 2008)

Deriving meaningful rules from gene expression data for classification. - Nikhil R. Pal; Animesh Sharma; Somitra Kumar Sanadhya (J. Intell. Fuzzy Syst., 2008)

Fast codebook searching in a SOM-based vector quantizer for image compression. - Arijit Laha; Bhabatosh Chanda; Nikhil R. Pal (Signal Image Video Process., 2008)

Selecting Useful Groups of Features in a Connectionist Framework. - Debrup Chakraborty; Nikhil R. Pal (IEEE Trans. Neural Networks, 2008)

Simultaneous Structure Identification and Fuzzy Rule Generation for Takagi-Sugeno Models. - Nikhil R. Pal; Seemanti Saha (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Automatic identification of useful independent components with a view to removing artifacts from eeg signal. - Hwa-Shan Huang; Nikhil R. Pal; Li-Wei Ko; Chin-Teng Lin (IJCNN, 2009)

A Novel Approach for Detection of Alteration in Ball Pen Writings. - Rajesh Kumar 008; Nikhil R. Pal; J. D. Sharma; Bhabatosh Chanda (PReMI, 2009)

Designing fuzzy rule based classifier using self-organizing feature map for analysis of multispectral satellite images - Nikhil R. Pal; Arijit Laha; Jyotirmay Das (CoRR, 2009)

NEUROSVM: An Architecture to Reduce the Effect of the Choice of Kernel on the Performance of SVM. - Pradip Ghanty; Samrat Paul; Nikhil R. Pal (J. Mach. Learn. Res., 2009)

Prediction of satellite images using fuzzy rule based Gaussian regression. - Nishchal K. Verma; Nikhil R. Pal (AIPR, 2010)

Integration of functional information of genes in fuzzy clustering of short time series gene expression data. - Ashish Anand; Nikhil R. Pal; Ponnuthurai Nagaratnam Suganthan (IEEE Congress on Evolutionary Computation, 2010)

Analyzing effect of distraction caused by dual-tasks on sharing of brain resources using SOM. - Yu-Kai Wang; Nikhil R. Pal; Chin-Teng Lin; Shi-An Chen (IJCNN, 2010)

Editorial. - Nikhil R. Pal; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2010)

Is it rational to partition a data set using kernel-clustering? - Kaushik Sarkar; Nikhil R. Pal (FUZZ-IEEE, 2011)

Securing Patients Medical Images and Authentication System Based on Public Key Infrastructure. - Ashraf Darwish; Aboul Ella Hassanien; Qing Tan; Nikhil R. Pal (SOCO, 2011)

On averaging operators for Atanassov's intuitionistic fuzzy sets. - Gleb Beliakov; Humberto Bustince Sola; D. P. Goswami; U. K. Mukherjee; Nikhil R. Pal (Inf. Sci., 2011)

Redundancy-Constrained feature selection with radial basis function networks. - Nikhil R. Pal; Mridul Malpani (IJCNN, 2012)

Fuzzy Rule-Based Approaches to Dimensionality Reduction. - Nikhil Ranjan Pal (PerMIn, 2012)

An Integrated Mechanism for Feature Selection and Fuzzy Rule Extraction for Classification. - Yi-Cheng Chen; Nikhil R. Pal; I-Fang Chung (IEEE Trans. Fuzzy Syst., 2012)

Forensic Detection of Fraudulent Alteration in Ball-Point Pen Strokes. - Rajesh Kumar 008; Nikhil R. Pal; Bhabatosh Chanda; J. D. Sharma (IEEE Trans. Inf. Forensics Secur., 2012)

Common spatial pattern and linear discriminant analysis for motor imagery classification. - Shang-Lin Wu; Chun-Wei Wu; Nikhil R. Pal; Chih-Yu Chen; Shi-An Chen (CCMB, 2013)

Finding short structural motifs for re-construction of proteins 3D structure. - Nikhil R. Pal; Rupan Panja (Appl. Soft Comput., 2013)

IEEE CIS Publications Activities Vision Statement [Society Briefs]. - Nikhil R. Pal (IEEE Comput. Intell. Mag., 2013)

Uncertainties with Atanassov's intuitionistic fuzzy sets: Fuzziness and lack of knowledge. - Nikhil R. Pal; Humberto Bustince Sola; Miguel Pagola; U. K. Mukherjee; D. P. Goswami; Gleb Beliakov (Inf. Sci., 2013)

Prediction of protein secondary Structure using Probability Based Features and a Hybrid System. - Pradip Ghanty; Nikhil R. Pal; Rajani K. Mudi (J. Bioinform. Comput. Biol., 2013)

Extending the Contraposition Property of Propositional Logic for Fuzzy Abduction. - Arpita Chakraborty; Amit Konar; Nikhil R. Pal; Lakhmi C. Jain (IEEE Trans. Fuzzy Syst., 2013)

A Mutually Recurrent Interval Type-2 Neural Fuzzy System (MRIT2NFS) With Self-Evolving Structure and Parameters. - Yang-Yin Lin; Jyh-Yeong Chang; Nikhil R. Pal; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2013)

General and Interval Type-2 Fuzzy Face-Space Approach to Emotion Recognition. - Anisha Halder; Amit Konar; Rajshree Mandal; Aruna Chakraborty; Pavel Bhowmik; Nikhil R. Pal; Atulya K. Nagar (IEEE Trans. Syst. Man Cybern. Syst., 2013)

Robust Consensus: A New Measure for Multicriteria Robust Group Decision Making Problems Using Evolutionary Approach. - Kaustuv Nag; Tandra Pal 001; Nikhil R. Pal (ICAISC (1), 2014)

A Report on Fuzz-IEEE 2013 [Conference Report]. - Nikhil R. Pal; Bernadette Bouchon-Meunier (IEEE Comput. Intell. Mag., 2014)

Sensor (Group Feature) Selection with Controlled Redundancy in a Connectionist Framework. - Rudrasis Chakraborty; Chin-Teng Lin; Nikhil R. Pal (Int. J. Neural Syst., 2014)

Feature selection with SVD entropy: Some modification and extension. - Monami Banerjee; Nikhil R. Pal (Inf. Sci., 2014)

Orness Measure of OWA Operators: A New Approach. - Amar Kishor; Amit K. Singh; Nikhil R. Pal (IEEE Trans. Fuzzy Syst., 2014)

What and When Can We Gain From the Kernel Versions of C-Means Algorithm? - Nikhil R. Pal; Kaushik Sarkar (IEEE Trans. Fuzzy Syst., 2014)

A Fuzzy-Rule-Based Approach for Single Frame Super Resolution. - Pulak Purkait; Nikhil R. Pal; Bhabatosh Chanda (IEEE Trans. Image Process., 2014)

Some properties of lattice OWA operators and their importance in image processing. - Gustavo Ochoa; Inmaculada Lizasoain; Daniel Paternain; Humberto Bustince; Nikhil R. Pal (IFSA-EUSFLAT, 2015)

Identification of a small set of plasma signalling proteins using neural network for prediction of Alzheimer's disease. - Swapna Agarwal; Pradip Ghanty; Nikhil R. Pal (Bioinform., 2015)

Discovering monotonic stemness marker genes from time-series stem cell microarray data. - 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 (BMC Genom., 2015)

A Fast Algorithm to Compute Precise Type-2 Centroids for Real-Time Control Applications. - Sumantra Chakraborty; Amit Konar; Anca L. Ralescu; Nikhil R. Pal (IEEE Trans. Cybern., 2015)

ASMiGA: An Archive-Based Steady-State Micro Genetic Algorithm. - Kaustuv Nag; Tandra Pal 001; Nikhil R. Pal (IEEE Trans. Cybern., 2015)

Online Diversity Assessment in Evolutionary Multiobjective Optimization: A Geometrical Perspective. - Sen Bong Gee; Kay Chen Tan; Vui Ann Shim; Nikhil R. Pal (IEEE Trans. Evol. Comput., 2015)

Overlap Indices: Construction of and Application to Interpolative Fuzzy Systems. - Santiago García-Jiménez; Humberto Bustince; Eyke Hüllermeier; Radko Mesiar; Nikhil R. Pal; Ana Pradera (IEEE Trans. Fuzzy Syst., 2015)

Divergence Measures for Intuitionistic Fuzzy Sets. - Ignacio Montes; Nikhil R. Pal; Vladimír Janis; Susana Montes (IEEE Trans. Fuzzy Syst., 2015)

Stancu OWA Operator. - Amit K. Singh; Amar Kishor; Nikhil R. Pal (IEEE Trans. Fuzzy Syst., 2015)

Unsupervised Feature Selection with Controlled Redundancy (UFeSCoR). - Monami Banerjee; Nikhil R. Pal (IEEE Trans. Knowl. Data Eng., 2015)

Feature Selection Using a Neural Framework With Controlled Redundancy. - Rudrasis Chakraborty; Nikhil R. Pal (IEEE Trans. Neural Networks Learn. Syst., 2015)

An Interval Type-2 Neural Fuzzy System for Online System Identification and Feature Elimination. - Chin-Teng Lin; Nikhil R. Pal; Shang-Lin Wu; Yu-Ting Liu; Yang-Yin Lin (IEEE Trans. Neural Networks Learn. Syst., 2015)

Feature Selection with Non-Linear Dependence Based on Multi-objective Strategy. - Chun-Liang Lu; Wei-Chun Tang; Yu-Shuen Tsai; Nikhil R. Pal; I-Fang Chung (BIBE, 2016)

Proximal Optimization for Fuzzy Subspace Clustering. - Arthur Guillon; Marie-Jeanne Lesot; Christophe Marsala; Nikhil R. Pal (IPMU (1), 2016)

Call for Nominations /Applications: Editor-in-Chief of IEEE Transactions on Fuzzy Systems Society Briefs. - Nikhil R. Pal (IEEE Comput. Intell. Mag., 2016)

Conference Report on 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015) [Conference Reports]. - Adnan Yazici; Nikhil R. Pal; Uzay Kaymak (IEEE Comput. Intell. Mag., 2016)

Clustering of Mixed Data by Integrating Fuzzy, Probabilistic, and Collaborative Clustering Framework. - Arkanath Pathak; Nikhil R. Pal (Int. J. Fuzzy Syst., 2016)

Discovery of synergistic genetic network: A minimum spanning tree-based approach. - Prantik Chatterjee; Nikhil Ranjan Pal (J. Bioinform. Comput. Biol., 2016)

A Multiobjective Genetic Programming-Based Ensemble for Simultaneous Feature Selection and Classification. - Kaustuv Nag; Nikhil R. Pal (IEEE Trans. Cybern., 2016)

Call for nominations / Applications for the position of the Editor-in-Chief of IEEE Transactions on Emerging Topics in Computational Intelligence. - Nikhil R. Pal (IEEE Trans. Evol. Comput., 2016)

Local Divergences for Atanassov Intuitionistic Fuzzy Sets. - Ignacio Montes; Vladimír Janis; Nikhil R. Pal; Susana Montes (IEEE Trans. Fuzzy Syst., 2016)

Finding Synergy Networks From Gene Expression Data: A Fuzzy-Rule-Based Approach. - Kaushik Sarkar; Prantik Chatterjee; Nikhil R. Pal (IEEE Trans. Fuzzy Syst., 2016)

On the Use of Divergences for Defining Entropies for Atanassov Intuitionistic Fuzzy Sets. - Ignacio Montes; Susana Montes; Nikhil R. Pal (EUSFLAT/IWIFSGN (2), 2017)

A Primer on Cluster Analysis: 4 Basic Methods That (Usually) Work [Book Review]. - Nikhil R. Pal (IEEE Comput. Intell. Mag., 2017)

From quantitative to qualitative orness for lattice OWA operators. - Gustavo Ochoa; Inmaculada Lizasoain; Daniel Paternain; Humberto Bustince; Nikhil R. Pal (Int. J. Gen. Syst., 2017)

Fuzzy Rule-Based Approach for Software Fault Prediction. - Pradeep Singh 001; Nikhil R. Pal; Shrish Verma; Om Prakash Vyas (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Structure Optimization of Neural Networks with L1 Regularization on Gates. - Qin Chang; Junze Wang; Huaqing Zhang 002; Lina Shi; Jian Wang 010; Nikhil R. Pal (SSCI, 2018)

A Polak-Ribière-Polyak Conjugate Gradient-Based Neuro-Fuzzy Network and its Convergence. - Tao Gao 003; Jian Wang 010; Bingjie Zhang 001; Huaqing Zhang 002; Peng Ren 001; Nikhil R. Pal (IEEE Access, 2018)

MS-SVM: Minimally Spanned Support Vector Machine. - Rupan Panja; Nikhil R. Pal (Appl. Soft Comput., 2018)

Some Haphazard Thoughts [President's Message]. - Nikhil R. Pal (IEEE Comput. Intell. Mag., 2018)

Random Thoughts: "Comprehensible & Sustainable " Computational Intelligence [President's Message]. - Nikhil R. Pal (IEEE Comput. Intell. Mag., 2018)

Newly Elected CIS Administrative Committee Members (2018-2020) [Society Briefs]. - Nikhil R. Pal (IEEE Comput. Intell. Mag., 2018)

Sharing Some Experience [President's Message]. - Nikhil R. Pal (IEEE Comput. Intell. Mag., 2018)

More Haphazard Thoughts [President's Message]. - Nikhil R. Pal (IEEE Comput. Intell. Mag., 2018)

Dynamically Weighted Ensemble-based Prediction System for Adaptively Modeling Driver Reaction Time. - Chun-Hsiang Chuang; Zehong Cao; Yu-Kai Wang; Po-Tsang Chen; Chih-Sheng Huang; Nikhil R. Pal; Chin-Teng Lin (CoRR, 2018)

How to make a neural network say "Don't know". - Bikram Karmakar; Nikhil R. Pal (Inf. Sci., 2018)

Entropy measures for Atanassov intuitionistic fuzzy sets based on divergence. - Ignacio Montes; Nikhil R. Pal; Susana Montes (Soft Comput., 2018)

Editorial Celebrating 25 Years of the IEEE Transactions on Fuzzy Systems. - James C. Bezdek; James M. Keller; Nikhil R. Pal; Chin-Teng Lin; Jonathan M. Garibaldi (IEEE Trans. Fuzzy Syst., 2018)

Feature Selection With Controlled Redundancy in a Fuzzy Rule Based Framework. - I-Fang Chung; Yi-Cheng Chen; Nikhil R. Pal (IEEE Trans. Fuzzy Syst., 2018)

Weighted Fuzzy Dempster-Shafer Framework for Multimodal Information Integration. - Yu-Ting Liu; Nikhil R. Pal; Amar R. Marathe; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2018)

Robust Multiobjective Optimization With Robust Consensus. - Kaustuv Nag; Tandra Pal 001; Rajani K. Mudi; Nikhil R. Pal (IEEE Trans. Fuzzy Syst., 2018)

Minority Oversampling in Kernel Adaptive Subspaces for Class Imbalanced Datasets. - 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 (IEEE Trans. Knowl. Data Eng., 2018)

Regularizing Multilayer Perceptron for Robustness. - Prasenjit Dey; Kaustuv Nag; Tandra Pal 001; Nikhil R. Pal (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Classification of Incomplete Data Using Autoencoder and Evidential Reasoning. - Suvra Jyoti Choudhury; Nikhil R. Pal (AIAI, 2019)

An Unsupervised Fuzzy Rule-Based Method for Structure Preserving Dimensionality Reduction with Prediction Ability. - Suchismita Das; Nikhil R. Pal (AIAI, 2019)

Time Flies! [President's Message]. - Nikhil R. Pal (IEEE Comput. Intell. Mag., 2019)

Immediate Open Access Is Welcome But... [President's Message]. - Nikhil R. Pal (IEEE Comput. Intell. Mag., 2019)

Newly Elected CIS Administrative Committee Members (2019-2021) [Society Briefs]. - Nikhil R. Pal (IEEE Comput. Intell. Mag., 2019)

Our First ExCom Meeting of 2019 [President's Message]. - Nikhil R. Pal (IEEE Comput. Intell. Mag., 2019)

Friends, It Is My Time to Sign Off! [President's Message]. - Nikhil R. Pal (IEEE Comput. Intell. Mag., 2019)

An Adaptive Subspace Self-Organizing Map (ASSOM) Imbalanced Learning and Its Applications in EEG. - Chin-Teng Lin; Yu-Ting Liu; Chun-Hsiang Chuang; Nikhil R. Pal; Yang-Yin Lin; Tsung-Yu Hsieh; Chieh-Ning Fang; Zehong Cao (CoRR, 2019)

Imputation of missing data with neural networks for classification. - Suvra Jyoti Choudhury; Nikhil R. Pal (Knowl. Based Syst., 2019)

Weight Noise Injection-Based MLPs With Group Lasso Penalty: Asymptotic Convergence and Application to Node Pruning. - Jian Wang 010; Qingquan Chang; Qin Chang; Yusong Liu; Nikhil R. Pal (IEEE Trans. Cybern., 2019)

Distributed Adaptive Tracking Synchronization for Coupled Reaction-Diffusion Neural Network. - Hao Zhang 035; Nikhil R. Pal; Yin Sheng; Zhigang Zeng (IEEE Trans. Neural Networks Learn. Syst., 2019)

Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface. - 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 (iFUZZY, 2020)

In Search of Trustworthy and Transparent Intelligent Systems With Human-Like Cognitive and Reasoning Capabilities. - Nikhil R. Pal (Frontiers Robotics AI, 2020)

Learning Optimized Structure of Neural Networks by Hidden Node Pruning With L1 Regularization. - Xuetao Xie; Huaqing Zhang 002; Junze Wang; Qin Chang; Jian Wang 010; Nikhil R. Pal (IEEE Trans. Cybern., 2020)

Feature Extraction and Selection for Parsimonious Classifiers With Multiobjective Genetic Programming. - Kaustuv Nag; Nikhil R. Pal (IEEE Trans. Evol. Comput., 2020)

A New Family of OWA Operators Featuring Constant Orness. - Amar Kishor; Amit K. Singh; Sonam; Nikhil R. Pal (IEEE Trans. Fuzzy Syst., 2020)

Feature Selection for Neural Networks Using Group Lasso Regularization. - Huaqing Zhang 002; Jian Wang 010; Zhanquan Sun; Jacek M. Zurada; Nikhil R. Pal (IEEE Trans. Knowl. Data Eng., 2020)

Constraint Interpretable Double Parallel Neural Network and Its Applications in the Petroleum Industry. - Yunqi Jiang; Huaqing Zhang 002; Jian Wang 010; Kai Zhang 029; Nikhil R. Pal (ICIC (1), 2021)

Can edges help convolution neural networks in emotion recognition? - Arkaprabha Bhandari; Nikhil R. Pal (Neurocomputing, 2021)

Deep and Structure-Preserving Autoencoders for Clustering Data With Missing Information. - Suvra Jyoti Choudhury; Nikhil Ranjan Pal (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making With Big Data in Uncertain Environments. - Weiping Ding 001; Nikhil R. Pal; Chin-Teng Lin; Yiu-ming Cheung; Zehong Cao; Wenjian Luo (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Feature Selection Using a Neural Network With Group Lasso Regularization and Controlled Redundancy. - Jian Wang 010; Huaqing Zhang 002; Junze Wang; Yifei Pu; Nikhil R. Pal (IEEE Trans. Neural Networks Learn. Syst., 2021)

An interpretable Neural Network and Its Application in Inferring Inter-well Connectivity. - Huaqing Zhang 002; Yunqi Jiang; Jian Wang 010; Kai Zhang 029; Nikhil R. Pal (CACML, 2022)

Understanding the Classes Better with Class-Specific and Rule-Specific Feature Selection, and Redundancy Control in a Fuzzy Rule Based Framework. - Suchismita Das; Nikhil R. Pal (IDEAL, 2022)

Supervised learning of explicit maps with ability to correct distortions in the target output for manifold learning. - Suchismita Das; Nikhil R. Pal (Inf. Sci., 2022)

Sensitivity analysis of Takagi-Sugeno fuzzy neural network. - Jian Wang 010; Qin Chang; Tao Gao 003; Kai Zhang 029; Nikhil R. Pal (Inf. Sci., 2022)

Bilateral sensitivity analysis: a better understanding of a neural network. - Huaqing Zhang 002; Yunqi Jiang; Jian Wang 010; Kai Zhang 029; Nikhil R. Pal (Int. J. Mach. Learn. Cybern., 2022)

Unsupervised feature selection via adaptive autoencoder with redundancy control. - Xiaoling Gong; Ling Yu; Jian Wang 010; Kai Zhang 029; Xiao Bai 001; Nikhil R. Pal (Neural Networks, 2022)

Fuzzy Clustering of Single-View Incomplete Data Using a Multiview Framework. - Suvra Jyoti Choudhury; Nikhil R. Pal (IEEE Trans. Fuzzy Syst., 2022)

Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-Based Approach. - Suchismita Das; Nikhil R. Pal (IEEE Trans. Fuzzy Syst., 2022)

Intermittent Event-Triggered Exponential Stabilization for State-Dependent Switched Fuzzy Neural Networks With Mixed Delays. - Xiaofan Li 002; Nikhil R. Pal; Huiyuan Li; Tingwen Huang (IEEE Trans. Fuzzy Syst., 2022)

An anatomy-based V1 model: Extraction of Low-level Features, Reduction of distortion and a V1-inspired SOM. - Suvam Roy; Nikhil Ranjan Pal (CoRR, 2023)

Feature selection simultaneously preserving both class and cluster structures. - Suchismita Das; Nikhil R. Pal (CoRR, 2023)

Convolutional Neural Networks Exploiting Attributes of Biological Neurons. - Neeraj Kumar Singh; Nikhil R. Pal (CoRR, 2023)

An Adaptive Neuro-Fuzzy System With Integrated Feature Selection and Rule Extraction for High-Dimensional Classification Problems. - Guangdong Xue; Qin Chang; Jian Wang 010; Kai Zhang 029; Nikhil Ranjan Pal (IEEE Trans. Fuzzy Syst., 2023)

Classification of incomplete data integrating neural networks and evidential reasoning. - Suvra Jyoti Choudhury; Nikhil R. Pal (Neural Comput. Appl., 2023)

Pseudo inverse versus iterated projection: Novel learning approach and its application on broad learning system. - Faliang Yin; Weiguo Li; Kai Zhang 029; Jian Wang 010; Nikhil R. Pal (Inf. Sci., 2023)

DFDRNN: A dual-feature based neural network for drug repositioning. - Enqiang Zhu; Xiang Li; Chanjuan Liu; Nikhil R. Pal (CoRR, 2024)

Group-feature (Sensor) selection with controlled redundancy using neural networks. - Aytijhya Saha; Nikhil R. Pal (Neurocomputing, 2024)

Adaptive Nonstationary Fuzzy Neural Network. - Qin Chang; Zhen Zhang 002; Fanyue Wei; Jian Wang 010; Witold Pedrycz; Nikhil R. Pal (Knowl. Based Syst., 2024)

Lane-Keeping Control of Automatic Steering Systems via Adaptive Fuzzy Sliding-Mode Approach. - Fanbiao Li; Zheng Wu; Nikhil R. Pal; Chunhua Yang 001; Hao Peng; Okyay Kaynak; Tingwen Huang (IEEE Trans. Syst. Man Cybern. Syst., 2024)

High-Dimensional Fuzzy Inference Systems. - Guangdong Xue; Jian Wang 010; Kai Zhang 029; Nikhil R. Pal (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Fractional Approximation of Broad Learning System. - Shujun Wu; Jian Wang 010; Huaying Sun; Kai Zhang 029; Nikhil R. Pal (IEEE Trans. Cybern., 2024)

Supervised Feature Selection via Collaborative Neurodynamic Optimization. - Yadi Wang; Jun Wang 002; Nikhil R. Pal (IEEE Trans. Neural Networks Learn. Syst., 2024)

Takagi-Sugeno-Kang Fuzzy Systems for High-Dimensional Multilabel Classification. - Ziwei Bian; Qin Chang; Jian Wang 010; Witold Pedrycz; Nikhil R. Pal (IEEE Trans. Fuzzy Syst., 2024)

A Generalized Family of Constant Orness Ordered Weighted Averaging Operators. - Vikas Srivastava; Amit K. Singh; Amar Kishor; Nikhil R. Pal (IEEE Trans. Fuzzy Syst., 2024)

Brain Connectivity Analysis for EEG-Based Face Perception Task. - Debashis Das Chakladar; Nikhil R. Pal (IEEE Trans. Cogn. Dev. Syst., 2024)

Weighted Fuzzy C-Means: Unsupervised Feature Selection to Realize a Target Partition. - Kaushik Sarkar; Rajani K. Mudi; Nikhil R. Pal (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2024)

A two-mode offspring generation selection mechanism with co-evolution for sparse large-scale multiobjective optimization. - Xiaodong Huang; Jian Wang 010; Gaige Wang; Yong Zhang 016; Dunwei Gong; Yaochu Jin; Nikhil R. Pal (Inf. Sci., 2025)

Boosting Drug-Disease Association Prediction for Drug Repositioning via Dual-Feature Extraction and Cross-Dual-Domain Decoding. - Enqiang Zhu; Xiang Li; Chanjuan Liu; Nikhil R. Pal (J. Chem. Inf. Model., 2025)

Interpretable Dual-Filter Fuzzy Neural Networks for Affective Brain-Computer Interfaces. - Xiaowei Jiang; Yanan Chen; Nikhil Ranjan Pal; Yu-Cheng Chang; Yunkai Yang; Thomas Do; Chin-Teng Lin (CoRR, 2025)

Universal Approximation Abilities of a Modular Differentiable Neural Network. - Jian Wang 010; Shujun Wu; Huaqing Zhang 002; Bin Yuan; Caili Dai; Nikhil R. Pal (IEEE Trans. Neural Networks Learn. Syst., 2025)

Leveraging Synergy to Design Neural Differential Distinguishers for Lightweight Block Ciphers. - Arpita Sarkar; Malay Bhattacharyya 001; Utpal Garain; Saibal Kumar Pal; Shantanu; Sanghamitra Bandyopadhyay; Nikhil R. Pal (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Bi-Level Spectral Feature Selection. - Zebiao Hu; Jian Wang 010; Kai Zhang 029; Witold Pedrycz; Nikhil R. Pal (IEEE Trans. Neural Networks Learn. Syst., 2025)

Unsupervised Feature Selection for High-Order Embedding Learning and Sparse Learning. - Zebiao Hu; Jian Wang 010; Jacek Mandziuk; Zhongxin Ren; Nikhil R. Pal (IEEE Trans. Cybern., 2025)

Event-Triggered Finite-Time Stabilization of Delayed T-S Fuzzy Systems on Time Scales. - Kexin Liu; Wei Tang; Yin Sheng; Zhigang Zeng; Nikhil R. Pal (IEEE Trans. Cybern., 2025)

Multihead Takagi-Sugeno-Kang Fuzzy System. - Ziwei Bian; Qin Chang; Jian Wang 010; Nikhil R. Pal (IEEE Trans. Fuzzy Syst., 2025)

Leader-Following Consensus of Time-Scale-Type Heterogeneous Nonlinear MASs via Periodic Event-Triggered Control. - Yin Sheng; Wei Tang; Qiang Xiao 003; Zhigang Zeng; Nikhil R. Pal (IEEE Trans. Cybern., 2025)

Sampled-Data-Based Event-Triggered Output-Feedback Consensus for Uncertain Heterogeneous High-Order Multiagent Systems. - Chenxi Song; Yuan Li; Yin Sheng; Zhigang Zeng; Nikhil R. Pal (IEEE Trans. Syst. Man Cybern. Syst., 2025)