S. Pal

S. Mitra, S. Pal, Pabitra Mitra, 1999, Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300).

Fuzzy models for pattern recognition : methods that search for structures in data

Sankar K. Pal, James C. Bezdek, J. Bezdek, 1992 .

Pattern Recognition and Machine Intelligence: First International Conference, PReMI 2005, Kolkata, India, December 20-22, 2005, Proceedings (Lecture Notes in Computer Science)

Sanghamitra Bandyopadhyay, Sankar K. Pal, Sambhunath Biswas, 2006 .

Discrimination Ability of Fuzziness Measures

S. Pal, Albert B. LeighT, 2014 .

Fuzzy skeletonization ofan image

S. Pal, 2014 .

Index of area coverage of fuzzy image and object extraction subsets

S. Pal, Ashish Ghosh, 1990 .

Recent Advances in Intelligent Informatics - Proceedings of the Second International Symposium on Intelligent Informatics, ISI 2013, August 23-24 2013, Mysore, India

Sankar K. Pal, Sabu M. Thampi, Ajith Abraham, 2014, ISI.

Z-number-based AQI in rough set theoretic framework for interpretation of air quality for different thresholds of PM2.5 and PM10

S. Pal, Debashree Dutta, S. Pal, 2022, Environmental Monitoring and Assessment.

Complex Network Entropy

Sankar K. Pal, Sudip Misra, S. Pal, 2016 .

GENETIC ALGORITHMS, PATTERN CLASSIFICATION AND NEURAL NETWORKS DESIGN

Sanghamitra Bandyopadhyay, C. A. Murthy, Sankar K. Pal, 2001 .

Unsupervised Feature Selection

Sankar K. Pal, Pabitra Mitra, S. Pal, 2004 .

Foundations of Soft Case-Based Reasoning: Pal/Soft Case-Based Reasoning

Simon C. K. Shiu, Sankar K. Pal, S. Pal, 2004 .

Rough-Neural Computing

Andrzej Skowron, Sankar K. Pal, Lech Polkowski, 2004, Cognitive Technologies.

PARALLEL ANN ARCHITECTURE FOR FUZZY PATTERNS

David Zhang, Sankar K. Pal, S. Pal, 2002 .

Adaptive Granulation-Based Convolutional Neural Networks With Single Pass Learning for Remote Sensing Image Classification

S. Pal, Dasari Arun Kumar, S. Pal, 2023, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Granulated deep learning and Z-numbers in motion detection and object recognition

S. Pal, Debasmita Bhoumik, Debarati Bhunia Chakraborty, 2019, Neural Computing and Applications.

Prediction and assessment of the impact of COVID-19 lockdown on air quality over Kolkata: a deep transfer learning approach

S. Pal, Debashree Dutta, 2022, Environmental monitoring and assessment.

Recent Advances in Intelligent Informatics: Proceedings of the Second International Symposium on Intelligent Informatics (ISI'13)

Sankar K. Pal, Sabu M. Thampi, Ajith Abraham, 2013 .

Pattern Recognition Algorithms for Data Mining

Sankar K. Pal, Pabitra Mitra, S. Pal, 2004 .

Pattern Recognition and Machine Intelligence

Sankar K. Pal, B. Uma Shankar, Deba Prasad Mandal, 2015, Lecture Notes in Computer Science.

Deep learning in multi-object detection and tracking: state of the art

Sankar K. Pal, Pabitra Mitra, Anima Pramanik, 2021, Applied Intelligence.

Segmentation of Brain Magnetic Resonance Images

Sankar K. Pal, Pradipta Maji, S. Pal, 2012 .

Feature space based image segmentation via density modification

Sankar K. Pal, Debashis Sen, S. Pal, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Maximum Class Separability for Rough-Fuzzy C-Means Based Brain MR Image Segmentation

Sankar K. Pal, Pradipta Maji, S. Pal, 2008, Trans. Rough Sets.

Histogram Thresholding using Beam Theory and Ambiguity Measures

Sankar K. Pal, Debashis Sen, S. Pal, 2007, Fundam. Informaticae.

Fuzzy Image Processing and Recognition: Uncertainty Handling and Applications

Sankar K. Pal, S. Pal, S. Pal, 2001, Int. J. Image Graph..

On Fuzzy Thresholding of Remotely Sensed Images

Sankar K. Pal, B. Uma Shankar, Ashish Ghosh, 2000 .

Soft Computing Tools and Pattern Recognition

Sankar K. Pal, S. Pal, S. Pal, 1998 .

Self-organization for object extraction using a multilayer neural network and fuzziness measures

Sankar K. Pal, Nikhil R. Pal, Ashish Ghosh, 1993, IEEE Trans. Fuzzy Syst..

Object Background Classification Using Hopfield Type Neural Network

Sankar K. Pal, Nikhil R. Pal, Ashish Ghosh, 1992, Int. J. Pattern Recognit. Artif. Intell..

Spectral fuzzy sets and soft thresholding

Sankar K. Pal, Ambarish Dasgupta, S. Pal, 1992, Inf. Sci..

Image segmentation using fuzzy correlation

Sankar K. Pal, Ashish Ghosh, S. Pal, 1992, Inf. Sci..

Higher order fuzzy entropy and hybrid entropy of a set

Sankar K. Pal, Nikhil R. Pal, S. Pal, 1992, Inf. Sci..

Entropy: a new definition and its applications

Sankar K. Pal, Nikhil R. Pal, S. Pal, 1991, IEEE Trans. Syst. Man Cybern..

Image Model, Poisson Distribution and Object Extraction

Sankar K. Pal, Nikhil R. Pal, S. Pal, 1991, Int. J. Pattern Recognit. Artif. Intell..

Index of area coverage of fuzzy image subsets and object extraction

Sankar K. Pal, Ashish Ghosh, S. Pal, 1990, Pattern Recognit. Lett..

Fuzzy thresholding: mathematical framework, bound functions and weighted moving average technique

C. A. Murthy, Sankar K. Pal, S. Pal, 1990, Pattern Recognit. Lett..

Image enhancement and thresholding by optimization of fuzzy compactness

Azriel Rosenfeld, Sankar K. Pal, A. Rosenfeld, 1988, Pattern Recognit. Lett..

Segmentation using contrast and homogeneity measures

Sankar K. Pal, Nikhil R. Pal, S. Pal, 1987, Pattern Recognit. Lett..

Thresholding for edge detection using human psychovisual phenomena

Sankar K. Pal, Malay Kumar Kundu, S. Pal, 1986, Pattern Recognit. Lett..

Fuzzy Mathematical Approach to Pattern Recognition

Sankar K. Pal, Dwijesh K. Dutta-Majumder, S. Pal, 1986 .

Grey level thresholding using second-order statistics

Sankar K. Pal, Farzin Deravi, F. Deravi, 1983, Pattern Recognit. Lett..

Automatic grey level thresholding through index of fuzziness and entropy

Sankar K. Pal, Robert A. King, Abdulla Hashim, 1983, Pattern Recognit. Lett..

Pattern Recognition and Machine Intelligence: 8th International Conference, PReMI 2019, Tezpur, India, December 17-20, 2019, Proceedings, Part II

Prabin Kumar Bora, Dhruba Kumar Bhattacharyya, Sushmita Mitra, 2019, PReMI.

NEURAL NETWORKS AND SYSTOLIC ARRAYS: MODELS AND INTEGRATIONS

S. K. Pal, D. Zhang, S. Pal, 2002 .

Fuzzy self-organization, inferencing, and rule generation

Sankar K. Pal, Sushmita Mitra, S. Mitra, 1996, IEEE Trans. Syst. Man Cybern. Part A.

Self-organizing neural network as a fuzzy classifier

Sankar K. Pal, Sushmita Mitra, S. Mitra, 1994, IEEE Trans. Syst. Man Cybern..

Neural Computing: An Introduction and Some Applications

Sankar K. Pal, Nikhil R. Pal, Ashish Ghosh, 1994 .

Neural network, self-organization and object extraction

Sankar K. Pal, Ashish Ghosh, S. Pal, 1992, Pattern Recognit. Lett..

A Novel Split and Merge Technique for Hypertext Classification

C. A. Murthy, Sankar K. Pal, Suman Saha, 2010, Trans. Rough Sets.

Tensor Framework and Combined Symmetry for Hypertext Mining

C. A. Murthy, Sankar K. Pal, Suman Saha, 2009, Fundam. Informaticae.

Tensor Space Model for Hypertext Representation

C. A. Murthy, Sankar K. Pal, Suman Saha, 2008, 2008 International Conference on Information Technology.

Rough-Fuzzy CPD: a gradual change point detection algorithm

Sankar K. Pal, Subhrajyoty Roy, Ritwik Bhaduri, 2020, Journal of Data, Information and Management.

Pattern Recognition: From Classical to Modern Approaches

Sankar K. Pal, Amita Pal, S. Pal, 2001 .

Deprecation based greedy strategy for target set selection in large scale social networks

Sankar K. Pal, Suman K. Kundu, S. Pal, 2015, Inf. Sci..

Segmentation of multispectral remote sensing images using active support vector machines

Sankar K. Pal, Pabitra Mitra, B. Uma Shankar, 2004, Pattern Recognit. Lett..

Introduction to Granular Computing, Pattern Recognition and Data Mining

Sankar K. Pal, Avatharam Ganivada, Shubhra Sankar Ray, 2017 .

Granular Social Network: Model and Applications

Sankar K. Pal, Suman K. Kundu, S. Pal, 2017, Handbook of Big Data Technologies.

Fuzzy-rough community in social networks

Sankar K. Pal, Suman K. Kundu, S. Pal, 2015, Pattern Recognit. Lett..

Web mining in soft computing framework: relevance, state of the art and future directions

Sankar K. Pal, Pabitra Mitra, Varun Talwar, 2002, IEEE Trans. Neural Networks.

Data mining in soft computing framework: a survey

Sankar K. Pal, Pabitra Mitra, Sushmita Mitra, 2002, IEEE Trans. Neural Networks.

Using Approximate Reduct and LVQ in Case Generation for CBR Classifiers

James Nga-Kwok Liu, Simon C. K. Shiu, Yan Li, 2007, Trans. Rough Sets.

Rough Learning Vector Quantization Case Generation for CBR Classifiers

James Nga-Kwok Liu, Simon C. K. Shiu, Yan Li, 2005, RSFDGrC.

Pattern Recognition: Evolution, Mining and Big Data

Sankar K. Pal, Amita Pal, S. Pal, 2017 .

PATTERN RECOGNITION: EVOLUTION OF METHODOLOGIES AND DATA MINING

Sankar K. Pal, Amita Pal, S. Pal, 2001 .

Rough-Fuzzy C-Medoids Algorithm and Selection of Bio-Basis for Amino Acid Sequence Analysis

Sankar K. Pal, Pradipta Maji, S. Pal, 2007, IEEE Transactions on Knowledge and Data Engineering.

Protein sequence analysis using relational soft clustering algorithms

Sankar K. Pal, Pradipta Maji, S. Pal, 2007, Int. J. Comput. Math..

Connectionist object recognition: methods and methodologies

Sankar K. Pal, Jayanta Basak, J. Basak, 1999, Int. J. Syst. Sci..

Fuzzy-Rough Entropy Measure and Histogram Based Patient Selection for miRNA Ranking in Cancer

Sung-Bae Cho, Sankar K. Pal, Shubhra Sankar Ray, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Identifying relevant group of miRNAs in cancer using fuzzy mutual information

Sankar K. Pal, Shubhra Sankar Ray, Jayanta Kumar Pal, 2015, Medical & Biological Engineering & Computing.

A Weighted Threshold for Detection of Cancerous miRNA Expressions

Sankar K. Pal, Shubhra Sankar Ray, Jayanta Kumar Pal, 2013, Fundam. Informaticae.

Computational approaches for identifying cancer miRNA expressions.

Shubhra Sankar Ray, Jayanta Kumar Pal, S. Pal, 2013, Gene expression.

Stemming via Distribution-Based Word Segregation for Classification and Retrieval

Sankar K. Pal, Narayan L. Bhamidipati, S. Pal, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

A Web surfer model incorporating topic continuity

Soumitra Dutta, Sankar K. Pal, B. Lakshmi Narayan, 2005, IEEE Transactions on Knowledge and Data Engineering.

A Report of Activities at the WIC-India Research Center

Sankar K. Pal, B. Lakshmi Narayan, S. Pal, 2004, IEEE/WIC/ACM International Conference on Web Intelligence (WI'04).

Fuzzy decision tree, linguistic rules and fuzzy knowledge-based network: generation and evaluation

Sankar K. Pal, Kishori M. Konwar, Sushmita Mitra, 2002, IEEE Trans. Syst. Man Cybern. Part C.

Unsupervised feature extraction using neuro-fuzzy approach

Sankar K. Pal, Rajat K. De, Jayanta Basak, 2002, Fuzzy Sets Syst..

Unsupervised feature evaluation: a neuro-fuzzy approach

Sankar K. Pal, Rajat K. De, Jayanta Basak, 2000, IEEE Trans. Neural Networks Learn. Syst..

Unsupervised feature selection using a neuro-fuzzy approach

Sankar K. Pal, Rajat K. De, Jayanta Basak, 1998, Pattern Recognit. Lett..

Some properties of the exponential entropy

Sankar K. Pal, Nikhil R. Pal, S. Pal, 1992, Inf. Sci..

Soft Computing: Goal, Tools and Feasibility

Sankar K. Pal, Nikhil R. Pal, S. Pal, 1996 .

A self-supervised vowel recognition system

Sankar K. Pal, D. Dutta Majumder, A. K. Datta, 1980, Pattern Recognit..

Rough-Fuzzy Hybridization: A New Trend in Decision Making

Andrzej Skowron, Sankar K. Pal, A. Skowron, 1999 .

Rough-Neural Computing: An Introduction

Andrzej Skowron, Sankar K. Pal, Lech Polkowski, 2004 .

Neurocomputing for Certain Bioinformatics Tasks

Sanghamitra Bandyopadhyay, Sankar K. Pal, Pabitra Mitra, 2004, MSRAS.

Selection of Discriminative Genes from Microarray Data

Sankar K. Pal, Pradipta Maji, S. Pal, 2012 .

Fuzzy–Rough Sets for Information Measures and Selection of Relevant Genes From Microarray Data

Sankar K. Pal, Pradipta Maji, S. Pal, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Fuzzy models for pattern recognition

Sankar K. Pal, James C. Bezdek, J. Bezdek, 1992 .

Adaptive mufti-objective particle swarm optimization algorithm

Sanghamitra Bandyopadhyay, Sankar K. Pal, Praveen Kumar Tripathi, 2007, 2007 IEEE Congress on Evolutionary Computation.

Rough knowledge-based network, fuzziness and classification

Sankar K. Pal, Sushmita Mitra, Mohua Banerjee, 1998, Neural Computing & Applications.

Soft Computing Pattern Recognition, Data Mining and Web Intelligence

Sankar K. Pal, Pabitra Mitra, Sushmita Mitra, 2004 .

Incorporation of Fuzziness in ID3 and Generation of Network Architerture

Sankar K. Pal, Sushmita Mitra, Pawan K. Singal, 2001, Neural Computing & Applications.

Evolutionary Modular MLP with Rough Sets and ID3 Algorithm for Staging of Cervical Cancer

Sankar K. Pal, Pabitra Mitra, Sushmita Mitra, 2001, Neural Computing & Applications.

Evolutionary modular design of rough knowledge-based network using fuzzy attributes

Sankar K. Pal, Pabitra Mitra, Sushmita Mitra, 2001, Neurocomputing.

Staging of cervical cancer with soft computing

Sankar K. Pal, Pabitra Mitra, Sushmita Mitra, 2000, IEEE Transactions on Biomedical Engineering.

Rough fuzzy MLP: knowledge encoding and classification

Sankar K. Pal, Sushmita Mitra, Mohua Banerjee, 1998, IEEE Trans. Neural Networks.

Expert systems in soft computing paradigm

Sankar K. Pal, Sushmita Mitra, S. Mitra, 1998, Fuzzy logic and expert systems applications.

Knowledge-based fuzzy MLP for classification and rule generation

Sankar K. Pal, Sushmita Mitra, Rajat K. De, 1997, IEEE Trans. Neural Networks.

Neuro-Fuzzy Expert Systems: Relevance, Features and Methodologies

Sankar K. Pal, Sushmita Mitra, S. Mitra, 1996 .

Fitting truncated geometric distributions in large scale real world networks

C. A. Murthy, Sankar K. Pal, Swarup Chattopadhyay, 2014, Theor. Comput. Sci..

Density-Based Multiscale Data Condensation

C. A. Murthy, Sankar K. Pal, Pabitra Mitra, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

A self-organizing network for mixed category perception

C. A. Murthy, Sankar K. Pal, Jayanta Basak, 1996, Neurocomputing.

PsyCOP-a psychologically motivated connectionist system for object perception

Sankar K. Pal, Jayanta Basak, J. Basak, 1995, IEEE Trans. Neural Networks.

X-tron: an incremental connectionist model for category perception

Sankar K. Pal, Jayanta Basak, J. Basak, 1995, IEEE Trans. Neural Networks.

Review Neuro-fuzzy computing for image processing and pattern recognition

Sankar K. Pal, Ashish Ghosh, S. Pal, 1996, Int. J. Syst. Sci..

Granular Neighborhood Function for Self-organizing Map: Clustering and Gene Selection

Sankar K. Pal, Avatharam Ganivada, Shubhra Sankar Ray, 2017 .

A Granular Self-Organizing Map for Clustering and Gene Selection in Microarray Data

Sankar K. Pal, Avatharam Ganivada, Shubhra Sankar Ray, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Fuzzy sets and decisionmaking approaches in vowel and speaker recognition

Sankar K. Pal, D. Dutta Majumder, S. Pal, 1977 .

Pattern Recognition and Machine Intelligence

David Zhang, Sankar K. Pal, B. Uma Shankar, 2017, Lecture Notes in Computer Science.

Some Insights Into Brightness Perception of Images in the Light of a New Computational Model of Figure–Ground Segregation

Kuntal Ghosh, Sankar K. Pal, S. Pal, 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Rough Sets, Kernel Set, and Spatiotemporal Outlier Detection

Sankar K. Pal, Alfredo Petrosino, Alessia Albanese, 2014, IEEE Transactions on Knowledge and Data Engineering.

Fuzzy sets in pattern recognition and machine intelligence

Sankar K. Pal, Sushmita Mitra, S. Mitra, 2005, Fuzzy Sets Syst..

Soft Computing and Image Analysis: Features, Relevance and Hybridization

Sankar K. Pal, Ashish Ghosh, Malay K. Kundu, 2000 .

Neuro-fuzzy image processing: relevance and feasibility

Sankar K. Pal, S. Pal, 1994, Other Conferences.

Fuzzy Versions of Kohonen's Net and MLP-Based Classification: Performance Evaluation for Certain Nonconvex Decision Regions

Sushmita Mitra, Sankar K. Pal, S. Mitra, 1994, Inf. Sci..

Logical operation based fuzzy MLP for classification and rule generation

Sankar K. Pal, Sushmita Mitra, S. Mitra, 1994, Neural Networks.

Neuro-Fuzzy Expert Systems: Overview with a Case Study

Sankar K. Pal, Sushmita Mitra, S. Mitra, 1994 .

Formulation of a multivalued recognition system

C. A. Murthy, Sankar K. Pal, Deba Prasad Mandal, 1992, IEEE Trans. Syst. Man Cybern..

Linguistic recognition system based on approximate reasoning

Sankar K. Pal, Deba Prasad Mandal, S. Pal, 1992, Inf. Sci..

Gene Function Analysis

Sankar K. Pal, Avatharam Ganivada, Shubhra Sankar Ray, 2017 .

Clustering Using Fuzzy Rough Granular Self-organizing Map

Sankar K. Pal, Avatharam Ganivada, Shubhra Sankar Ray, 2017 .

Fuzzy rough sets, and a granular neural network for unsupervised feature selection

Sankar K. Pal, Avatharam Ganivada, Shubhra Sankar Ray, 2013, Neural Networks.

Fuzzy rough granular self-organizing map and fuzzy rough entropy

Sankar K. Pal, Avatharam Ganivada, Shubhra Sankar Ray, 2012, Theor. Comput. Sci..

Dynamic Range-Based Distance Measure for Microarray Expressions and a Fast Gene-Ordering Algorithm

Sanghamitra Bandyopadhyay, Sankar K. Pal, Shubhra Sankar Ray, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

New Distance Measure for Microarray Gene Expressions Using Linear Dynamic Range of Photo Multiplier Tube

Sanghamitra Bandyopadhyay, Sankar K. Pal, Shubhra Sankar Ray, 2007, 2007 International Conference on Computing: Theory and Applications (ICCTA'07).

Fuzzy Set Theoretic Tools for Image Analysis

Sankar K. Pal, S. Pal, S. Pal, 1994 .

A FUSION OF FUZZY SETS AND LAYERED NEURAL NETWORKS AT THE INPUT, OUTPUT AND NEURONAL LEVELS

Sankar K. Pal, Sushmita Mitra, S. Mitra, 1994 .

Uncertainty management in space station autonomous research: Pattern recognition perspective

Sankar K. Pal, S. Pal, S. Pal, 1993, Inf. Sci..

Roughness of a Fuzzy Set

Sankar K. Pal, Mohua Banerjee, S. Pal, 1996, Inf. Sci..

An Adaptive Multi-Objective Particle Swarm Optimization Algorithm with Constraint Handling

Sanghamitra Bandyopadhyay, Sankar K. Pal, P. K. Tripathi, 2011 .

Multi-Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients

Sanghamitra Bandyopadhyay, Sankar K. Pal, Praveen Kumar Tripathi, 2007, Inf. Sci..

CORRELATION BETWEEN TWO FUZZY MEMBERSIDP FUNCflONS

C. A. Murthy, S. Pal, D. Majumder, 2009 .

Soft Computing in Case Based Reasoning

Sankar K. Pal, Daniel S. Yeung, Tharam S. Dillon, 2000, Springer London.

Prediction and assessment of the impact of COVID-19 lockdown on air quality over Kolkata: a deep transfer learning approach

S. Pal, Debashree Dutta, S. Pal, 2022, Environmental Monitoring and Assessment.

FGSN: Fuzzy Granular Social Networks - Model and applications

Sankar K. Pal, Suman K. Kundu, S. Pal, 2015, Inf. Sci..

Automatic Exact Histogram Specification for Contrast Enhancement and Visual System Based Quantitative Evaluation

Sankar K. Pal, Debashis Sen, S. Pal, 2011, IEEE Transactions on Image Processing.

Granular Mining and Big Data Analytics: Rough Models and Challenges

Sankar K. Pal, S. Pal, S. Pal, 2019, Proceedings of the National Academy of Sciences, India Section A: Physical Sciences.

Granular Mining and Big Data Analytics: Rough Models and Challenges

S. Pal, S. Pal, 2019, Proceedings of the National Academy of Sciences, India Section A: Physical Sciences.

Neighborhood Rough Filter and Intuitionistic Entropy in Unsupervised Tracking

Sankar K. Pal, Debarati Bhunia Chakraborty, S. Pal, 2018, IEEE Transactions on Fuzzy Systems.

Granular Flow Graph, Adaptive Rule Generation and Tracking

Sankar Kumar Pal, Debarati Bhunia Chakraborty, S. Pal, 2017, IEEE Transactions on Cybernetics.

Fuzzy mutual information based grouping and new fitness function for PSO in selection of miRNAs in cancer

Sankar K. Pal, Shubhra Sankar Ray, Jayanta Kumar Pal, 2017, Comput. Biol. Medicine.

A computational model for the endogenous arousal of thoughts through Z*-numbers

Sankar K. Pal, Romi Banerjee, S. Pal, 2017, Inf. Sci..

Granular Neural Networks, Pattern Recognition and Bioinformatics

Sankar K. Pal, Avatharam Ganivada, Shubhra Sankar Ray, 2017, Studies in Computational Intelligence.

Neighborhood granules and rough rule-base in tracking

Sankar K. Pal, Debarati Bhunia Chakraborty, S. Pal, 2016, Natural Computing.

Identifying relevant group of miRNAs in cancer using fuzzy mutual information

S. Pal, S. S. Ray, J. Pal, 2015, Medical & Biological Engineering & Computing.

Z*-numbers: Augmented Z-numbers for machine-subjectivity representation

Sankar K. Pal, Romi Banerjee, S. Pal, 2015, Inf. Sci..

Data science, big data and granular mining

Andrzej Skowron, Sankar K. Pal, Saroj K. Meher, 2015, Pattern Recognit. Lett..

Granulation, rough entropy and spatiotemporal moving object detection

Sankar K. Pal, B. Uma Shankar, Debarati Chakraborty, 2013, Appl. Soft Comput..

Title Paper: Natural computing: A problem solving paradigm with granular information processing

Sankar K. Pal, Saroj K. Meher, S. Pal, 2013, Appl. Soft Comput..

Context granulation and subjective-information quantification

Sankar K. Pal, Romi Banerjee, S. Pal, 2013, Theor. Comput. Sci..

Granular Mining and Rough-Fuzzy Pattern Recognition: A Way to Natural Computation

Sankar K. Pal, S. Pal, 2012, IEEE Intell. Informatics Bull..

Handbook on Soft Computing for Video Surveillance

Sankar K. Pal, Lucia Maddalena, Alfredo Petrosino, 2012 .

Fuzzy rough granular neural networks, fuzzy granules, and classification

Soumitra Dutta, Sankar K. Pal, Avatharam Ganivada, 2011, Theor. Comput. Sci..

Generalized Rough Sets, Entropy, and Image Ambiguity Measures

Sankar K. Pal, Debashis Sen, S. Pal, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Rough Self Organizing Map

Sankar K. Pal, Pabitra Mitra, Biswarup Dasgupta, 2004, Applied Intelligence.

Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking

Sankar K. Pal, Pabitra Mitra, Anima Pramanik, 2022, IEEE Transactions on Emerging Topics in Computational Intelligence.

Granular Video Computing - with Rough Sets, Deep Learning and in IoT

Sankar K. Pal, Debarati B Chakraborty, S. Pal, 2021, Granular Video Computing.

Granulated deep learning and Z-numbers in motion detection and object recognition

Sankar K. Pal, Debasmita Bhoumik, Debarati Bhunia Chakraborty, 2019, Neural Computing and Applications.

An Insight Into The Z-number Approach To CWW

Soumitra Dutta, Sankar K. Pal, Samar Sen Sarma, 2013, Fundam. Informaticae.

Gradient histogram: Thresholding in a region of interest for edge detection

Sankar K. Pal, Debashis Sen, S. Pal, 2010, Image Vis. Comput..

Granular computing, rough entropy and object extraction

Sankar K. Pal, Pabitra Mitra, B. Uma Shankar, 2005, Pattern Recognit. Lett..

Multispectral image segmentation using the rough-set-initialized EM algorithm

Sankar K. Pal, Pabitra Mitra, S. Pal, 2002, IEEE Trans. Geosci. Remote. Sens..

Fuzzy multi-layer perceptron, inferencing and rule generation

Sankar K. Pal, Sushmita Mitra, S. Mitra, 1995, IEEE Trans. Neural Networks.

Variance as a Stopping Criterion for Genetic Algorithms with Elitist Model

C. A. Murthy, Sankar K. Pal, Dinabandhu Bhandari, 2012, Fundam. Informaticae.

A Multi-objective Genetic Algorithm with Relative Distance: Method, Performance Measures and Constraint Handling

Sanghamitra Bandyopadhyay, Sankar K. Pal, Praveen Kumar Tripathi, 2007, 2007 International Conference on Computing: Theory and Applications (ICCTA'07).

epsilon-Optimal Stopping Time for Genetic Algorithms

C. A. Murthy, Sankar K. Pal, Dinabandhu Bhandari, 1998, Fundam. Informaticae.

Feature analysis: Neural network and fuzzy set theoretic approaches

Sankar K. Pal, Nikhil R. Pal, Rajat K. De, 1997, Pattern Recognit..

Incorporating Distance Domination in Multiobjective Evolutionary Algorithm

Sanghamitra Bandyopadhyay, Sankar K. Pal, Praveen Kumar Tripathi, 2005, PReMI.

Relation Between VGA-classifier and MLP : Determination of Network Architecture

Sanghamitra Bandyopadhyay, Sankar K. Pal, S. Pal, 1999, Fundam. Informaticae.

Image segmentation using a neural network

Sankar K. Pal, Nikhil R. Pal, Ashish Ghosh, 1991, Biological Cybernetics.

Theoretical performance of genetic pattern classifier

Sanghamitra Bandyopadhyay, C. A. Murthy, Sankar K. Pal, 1999 .

Pattern classification with genetic algorithms

Sanghamitra Bandyopadhyay, C. A. Murthy, Sankar K. Pal, 1995, Pattern Recognit. Lett..

Directed Mutation in Gennetic Algorithms

Sankar K. Pal, Nikhil R. Pal, Dinabandhu Bhandari, 1994, Inf. Sci..

Incorporating Ancestors' Influence in Genetic Algorithms

Sankar K. Pal, Ashish Ghosh, Susmita Ghosh, 2004, Applied Intelligence.

Fuzzy Grammars in Syntactic Recognition of Skeletal Maturity from X-Rays

Amita Pathak, Sankar K. Pal, S. Pal, 1986, IEEE Transactions on Systems, Man, and Cybernetics.

Double Bounded Rough Set, Tension Measure, and Social Link Prediction

Sankar K. Pal, Suman Kundu, S. Pal, 2018, IEEE Transactions on Computational Social Systems.

Fuzzy Rough Granular Neural Networks for Pattern Analysis

Sankar K. Pal, Avatharam Ganivada, Shubhra Sankar Ray, 2017 .

Unsupervised Tracking, Roughness and Quantitative Indices

Sankar K. Pal, Debarati Chakraborty, Debarati B. Chakraborty, 2013, Fundam. Informaticae.

Fuzzy Rough Granular Self Organizing Map

Sankar K. Pal, Avatharam Ganivada, Shubhra Sankar Ray, 2011, RSKT.

A Novel Fuzzy Rough Granular Neural Network for Classification

Sankar K. Pal, Avatharam Ganivada, S. Pal, 2011, Int. J. Comput. Intell. Syst..

Rough sets and fuzzy sets in natural computing

Andrzej Skowron, Sankar K. Pal, Hung Son Nguyen, 2011, Theor. Comput. Sci..

A Rough Set Approach to Spatio-temporal Outlier Detection

Sankar K. Pal, Alfredo Petrosino, Alessia Albanese, 2011, WILF.

Feature Selection Using f-Information Measures in Fuzzy Approximation Spaces

Sankar K. Pal, Pradipta Maji, S. Pal, 2010, IEEE Transactions on Knowledge and Data Engineering.

Application of rough ensemble classifier to web services categorization and focused crawling

C. A. Murthy, Sankar K. Pal, Suman Saha, 2010, Web Intell. Agent Syst..

Measuring Ambiguities In Images Using Rough And Fuzzy Set Theory

D. Sen, S.k. Pal, S. Pal, 2008, 2008 International Conference on Signal Processing, Communications and Networking.

RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets

Sankar K. Pal, Pradipta Maji, S. Pal, 2007, Fundam. Informaticae.

Rough Set Based Generalized Fuzzy $C$ -Means Algorithm and Quantitative Indices

Sankar K. Pal, Pradipta Maji, S. Pal, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Combining feature reduction and case selection in building CBR classifiers

Simon C. K. Shiu, Yan Li, Sankar K. Pal, 2006, IEEE Transactions on Knowledge and Data Engineering.

A rough set-based case-based reasoner for text categorization

James Nga-Kwok Liu, Simon C. K. Shiu, Yan Li, 2006, Int. J. Approx. Reason..

Rough set Based Ensemble Classifier for Web Page Classification

C. A. Murthy, Sankar K. Pal, Suman Saha, 2006 .

Case-Based Reasoning: Concepts, Features and Soft Computing

Simon C. K. Shiu, Sankar K. Pal, S. Pal, 2004, Applied Intelligence.

Soft data mining, computational theory of perceptions, and rough-fuzzy approach

Sankar K. Pal, S. Pal, S. Pal, 2004, Inf. Sci..

Case generation using rough sets with fuzzy representation

Sankar K. Pal, Pabitra Mitra, S. Pal, 2004, IEEE Transactions on Knowledge and Data Engineering.

Fuzzy discretization of feature space for a rough set classifier

Sankar K. Pal, Amitava Roy, S. Pal, 2003, Pattern Recognit. Lett..

Non-convex clustering using expectation maximization algorithm with rough set initialization

Sankar K. Pal, Pabitra Mitra, Md Aleemuddin Siddiqi, 2003, Pattern Recognit. Lett..

Rough video conceptualization for real-time event precognition with motion entropy

Sankar K. Pal, Debarati B. Chakraborty, S. Pal, 2021, Inf. Sci..

Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging

Sankar K. Pal, Pradipta Maji, S. Pal, 2012 .

Maxdiff kd-trees for data condensation

C. A. Murthy, Sankar K. Pal, B. Lakshmi Narayan, 2006, Pattern Recognit. Lett..

Rough-wavelet granular space and classification of multispectral remote sensing image

Sankar K. Pal, Saroj K. Meher, S. Pal, 2011, Appl. Soft Comput..

Computational Theory Perception (CTP), Rough-Fuzzy Uncertainty Analysis and Mining in Bioinformatics and Web Intelligence: A Unified Framework

Sankar K. Pal, S. Pal, S. Pal, 2010, Trans. Rough Sets.

Rough-Fuzzy Knowledge Encoding and Uncertainty Analysis: Relevance in Data Mining

Sankar K. Pal, S. Pal, S. Pal, 2008, ICDCN.

Data mining: computational theory of perceptions and rough-fuzzy granular computing

Sankar K. Pal, S. Pal, S. Pal, 2007 .

Rough-Fuzzy Granular Computing, Case Based Reasoning and Data Mining

Sankar K. Pal, S. Pal, S. Pal, 2003, WILF.

Case Based Systems: A Neuro-Fuzzy Method for Selecting Cases

Sankar K. Pal, Rajat K. De, R. K. De, 2000, Soft Computing in Case Based Reasoning.

Genetic algorithms for generation of class boundaries

Sanghamitra Bandyopadhyay, C. A. Murthy, Sankar K. Pal, 1998, IEEE Trans. Syst. Man Cybern. Part B.

Case-Based Reasoning in Knowledge Discovery and Data Mining

Kalyan Moy Gupta, David W. Aha, Sankar K. Pal, 2006 .

Non-parametric modified histogram equalisation for contrast enhancement

Sankar K. Pal, Suman Tewary, Shashi Poddar, 2013, IET Image Process..

Soft computing in mechatronics

Sankar K. Pal, Ashish Ghosh, Malay K. Kundu, 2000 .

Genotypic and Phenotypic Assortative Mating in Genetic Algorithm

Sankar K. Pal, Ashish Ghosh, Susmita De, 1998, Inf. Sci..

Selection of Optimal Set of Weights in a Layered Network Using Genetic Algorithms

Sankar K. Pal, Dinabandhu Bhandari, S. Pal, 1994, Inf. Sci..

Genetic algorithms for optimal image enhancement

Sankar K. Pal, Malay Kumar Kundu, Dinabandhu Bhandari, 1994, Pattern Recognit. Lett..

A new gray level based Hough transform for region extraction: An application to IRS images

C. A. Murthy, Sankar K. Pal, B. Uma Shankar, 1998, Pattern Recognit. Lett..

New operators of genetic algorithms for traveling salesman problem

Sanghamitra Bandyopadhyay, Sankar K. Pal, Shubhra Sankar Ray, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

DETERMINING THE SHAPE OF A PATTERN CLASS: EXTENSION TO RN

C. A. Murthy, Sankar K. Pal, Deba Prasad Mandal, 1997 .

Fuzzy tools for the management of uncertainty in pattern recognition, image analysis, vision and expert systems

Sankar K. Pal, S. Pal, 1991 .

Smoothing of digital images using the concept of diffusion process

Sankar K. Pal, Nikhil R. Pal, Sambhunath Biswas, 1996, Pattern Recognit..

Pattern Classification Using Class-Dependent Rough-Fuzzy Granular Space

Soumitra Dutta, Sankar K. Pal, Saroj K. Meher, 2010, RSKT.

Image Coding Using Modified Bezier-Bernstein Approximation

Sankar K. Pal, Sambhunath Biswas, S. Pal, 1995, Inf. Sci..

Preface: pattern recognition and mining

Andrzej Skowron, Sankar K. Pal, Pradipta Maji, 2015, Natural Computing.

Multiobjective GAs, quantitative indices, and pattern classification

Sanghamitra Bandyopadhyay, Sankar K. Pal, B. Aruna, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Image description and primitive extraction using fuzzy sets

Sankar K. Pal, Robert A. King, Abdulla Hashim, 1983, IEEE Transactions on Systems, Man, and Cybernetics.

Text comprehension and the computational mind-agencies

Sankar K. Pal, Romi Banerjee, S. Pal, 2015, Natural Computing.

Introduction to Pattern Recognition and Data Mining

Sankar K. Pal, Pradipta Maji, S. Pal, 2012 .

The Role of Soft Computing in Image Analysis

Sankar K. Pal, Alfredo Petrosino, Alessio Ferone, 2012, Handbook of Soft Computing for Video Surveillance.

A Decade of the Z-Numbers

Jayanta Kumar Pal, Romi Banerjee, Sankar Pal, 2021, IEEE Transactions on Fuzzy Systems.

Correlation between two fuzzy membership functions

C. A. Murthy, Sankar K. Pal, D. Dutta Majumder, 1985 .

Hypertext Classification Using Tensor Space Model and Rough Set Based Ensemble Classifier

C. A. Murthy, Sankar K. Pal, Suman Saha, 2009, PReMI.

Knowledge-based fuzzy MLP with rough sets

Sankar K. Pal, Sushmita Mitra, Mohua Banerjee, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Analysis of IRS imagery for detecting man-made objects with a multivalued recognition system

C. A. Murthy, Sankar K. Pal, Deba Prasad Mandal, 1996, IEEE Trans. Syst. Man Cybern. Part A.

Fingerprint classification using a fuzzy multilayer perceptron

Sankar K. Pal, Malay Kumar Kundu, Sushmita Mitra, 1994, Neural Computing & Applications.

Utility of multiple choices in detecting ill-defined roadlike structures

C. A. Murthy, Sankar K. Pal, Deba Prasad Mandal, 1994 .

Soft Computing Pattern Recognition: Principles, Integrations, and Data Mining

Sankar K. Pal, S. Pal, S. Pal, 2001, JSAI Workshops.

Evolutionary computation in bioinformatics: a review

S. Bandyopadhyay, S.K. Pal, S.S. Ray, 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Incorporating local image structure in normalized cut based graph partitioning for grouping of pixels

Sankar K. Pal, Debashis Sen, Niloy Gupta, 2013, Inf. Sci..

On Z-numbers and the Machine-Mind for Natural Language Comprehension

Sankar K. Pal, Romi Banerjee, S. Pal, 2015, Fifty Years of Fuzzy Logic and its Applications.

Smart Algorithms for Energy-Aware Wireless Body Area Networks in Health Care Delivery

Sankar K. Pal, Sudip Misra, S. Pal, 2016 .

Sankar K. Pal, Jhareswar Maiti, Souvik Das, 2020, IEEE Transactions on Fuzzy Systems.

A New Centrality Measure for Influence Maximization in Social Networks

C. A. Murthy, Sankar K. Pal, Suman K. Kundu, 2011, PReMI.

Fuzzy dynamic clustering algorithm

Sankar K. Pal, Sushmita Mitra, S. Mitra, 1990, Pattern Recognit. Lett..

Theoretical quantification of shape distortion in fuzzy Hough transform

Sankar K. Pal, Jayanta Basak, J. Basak, 2005, Fuzzy Sets Syst..

Fuzzy Logic and Applications, 8th International Workshop, WILF 2009, Palermo, Italy, June 9-12, 2009, Proceedings

Vito Di Gesù, Sankar K. Pal, Alfredo Petrosino, 2009, WILF.

Noisy fingerprints classification with directional FFT based features using MLP

Sankar K. Pal, Malay Kumar Kundu, Jayanta Basak, 1998, Neural Computing & Applications.

3. AUTOMATED TECHNIQUES FOR IDENTIFYING DEPRESSION FROM EEG

Sankar K. Pal, Suptendra Nath Sarbadhikari, S. Pal, 2002 .

A fuzzy clustering neural networks (FCNs) system design methodology

David Zhang, Sankar K. Pal, S. Pal, 2000, IEEE Trans. Neural Networks Learn. Syst..

Neurocomputing motivation, models, and hybridization

S.K. Pal, P.K. Srimani, S. Pal, 1996, Computer.

Pattern classification using genetic algorithms: Determination of H

Sanghamitra Bandyopadhyay, C. A. Murthy, Sankar K. Pal, 1998, Pattern Recognit. Lett..

Identifying Drug Resistant miRNAs Using Entropy Based Ranking

Sankar K. Pal, Shubhra Sankar Ray, Jayanta Kumar Pal, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Recognition of bones from X-rays of the hand†

Sankar K. Pal, Robert King, S. Pal, 1985 .

Combining Multisource Information Through Functional-Annotation-Based Weighting: Gene Function Prediction in Yeast

Sanghamitra Bandyopadhyay, Sankar K. Pal, Shubhra Sankar Ray, 2009, IEEE Transactions on Biomedical Engineering.

Genetic Algorithms for Pattern Recognition

Sankar K. Pal, Paul P. Wang, Paul P. Wang, 2017 .

DEMANDS: Distributed Energy Management Using Noncooperative Scheduling in Smart Grid

Sankar K. Pal, Mohammad S. Obaidat, Sudip Misra, 2018, IEEE Systems Journal.

Centrality Measures, Upper Bound, and Influence Maximization in Large Scale Directed Social Networks

C. A. Murthy, Sankar K. Pal, Suman K. Kundu, 2014, Fundam. Informaticae.

Pixel classification using variable string genetic algorithms with chromosome differentiation

Sanghamitra Bandyopadhyay, Sankar K. Pal, S. Pal, 2001, IEEE Trans. Geosci. Remote. Sens..

Pattern recognition and beyond: Alfredo Petrosino's scientific results

Sankar K. Pal, Lucia Maddalena, Marco Gori, 2020, Pattern Recognit. Lett..

Rough set Based Ensemble Classifier forWeb Page Classification

C. A. Murthy, Sankar K. Pal, Suman Saha, 2007, Fundam. Informaticae.