Pradipta Maji

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Discriminative Deep Generalized Dependency Analysis for Multi-View Data.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., April, 2024

Multi-Task Learning and Sparse Discriminant Canonical Correlation Analysis for Identification of Diagnosis-Specific Genotype-Phenotype Association.

[BibT_eX]

[DOI]

Sankar Mondal

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Tumor delineation from 3-D MR brain images.

[BibT_eX]

[DOI]

Signal Image Video Process., October, 2023

Multiview Regularized Discriminant Canonical Correlation Analysis: Sequential Extraction of Relevant Features From Multiblock Data.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., September, 2023

Adaptive Generalized Multi-View Canonical Correlation Analysis for Incrementally Update Multiblock Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2023

Truncated Normal Mixture Prior Based Deep Latent Model for Color Normalization of Histology Images.

[BibT_eX]

[DOI]

Suman Mahapatra

IEEE Trans. Medical Imaging, June, 2023

Multi-View Kernel Learning for Identification of Disease Genes.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

Multi-Manifold Optimization for Multi-View Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Selective Update of Relevant Eigenspaces for Integrative Clustering of Multimodal Data.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Scalable Non-Linear Graph Fusion for Prioritizing Cancer-Causing Genes.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021

Rough Hypercuboid Based Generalized and Robust IT2 Fuzzy C-Means Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Rough-Bayesian approach to select class-pair specific descriptors for HEp-2 cell staining pattern recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Approximate Graph Laplacians for Multimodal Data Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Rough-Fuzzy Segmentation of Brain MR Volumes: Applications in Tumor Detection and Malignancy Assessment.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2021

2020

Circular Clustering in Fuzzy Approximation Spaces for Color Normalization of Histological Images.

[BibT_eX]

[DOI]

Suman Mahapatra

IEEE Trans. Medical Imaging, 2020

A Spatially Constrained Probabilistic Model for Robust Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Medical Image Segmentation by Partitioning Spatially Constrained Fuzzy Approximation Spaces.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2020

Low-Rank Joint Subspace Construction for Cancer Subtype Discovery.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Rough segmentation of coherent local intensity for bias induced 3-D MR brain images.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

CanSuR: a robust method for staining pattern recognition of HEp-2 cell IIF images.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

Selection of relevant texture descriptors for recognition of HEp-2 cell staining patterns.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2020

2019

Segmentation of bias field induced brain MR images using rough sets and stomped-<i>t</i> distribution.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Rough-Fuzzy Circular Clustering for Color Normalization of Histological Images.

[BibT_eX]

[DOI]

Suman Mahapatra

Fundam. Informaticae, 2019

Rough Sets and Local Texture Features for Diagnosis of Connective Tissue Disorders.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2019

An Efficient Method for Automatic Recognition of Virus Particles in TEM Images.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

2018

FaRoC: Fast and Robust Supervised Canonical Correlation Analysis for Multimodal Omics Data.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Spatially Constrained Student's t-Distribution Based Mixture Model for Robust Image Segmentation.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2018

2017

Significance and Functional Similarity for Identification of Disease Genes.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Multimodal Omics Data Integration Using Max Relevance-Max Significance Criterion.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2017

RelSim: An integrated method to identify disease genes using gene expression profiles and PPIN based similarity measure.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Stomped-t: A novel probability distribution for rough-probabilistic clustering.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Rough-fuzzy segmentation of HEp-2 cell indirect immunofluorescence images.

[BibT_eX]

[DOI]

Int. J. Data Min. Bioinform., 2017

Regularization and Shrinkage in Rough Set Based Canonical Correlation Analysis.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2017

Advances in Rough Set Based Hybrid Approaches for Medical Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2017

A New Method to Address Singularity Problem in Multimodal Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Multimodal Brain Tumor Segmentation Using Ensemble of Forest Method.

[BibT_eX]

[DOI]

Ashish Phophalia

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Rough Hypercuboid and Modified Kulczynski Coefficient for Disease Gene Identification.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

2016

Gene expression and protein-protein interaction data for identification of colon cancer related genes using f-information measures.

[BibT_eX]

[DOI]

Nat. Comput., 2016

Preface: pattern recognition and mining.

[BibT_eX]

[DOI]

Andrzej Skowron

Nat. Comput., 2016

On Synthesis of Non-Uniform Cellular Automata Having Only Point Attractors.

[BibT_eX]

[DOI]

J. Cell. Autom., 2016

Rough Hypercuboid Based Supervised Regularized Canonical Correlation for Multimodal Data Analysis.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2016

Rough-probabilistic clustering and hidden Markov random field model for segmentation of HEp-2 cell and brain MR images.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2016

Clustering of microRNAs Using Rough Hypercuboid Based Fuzzy C-Means.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Information Technology, 2016

A modified rough-fuzzy clustering algorithm with spatial information for HEp-2 cell image segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Rough Sets and Stomped Normal Distribution for Simultaneous Segmentation and Bias Field Correction in Brain MR Images.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

IT2 Fuzzy-Rough Sets and Max Relevance-Max Significance Criterion for Attribute Selection.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Possibilistic biclustering algorithm for discovering value-coherent overlapping<i> δ</i>-biclusters.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2015

SoBT-RFW: Rough-Fuzzy Computing and Wavelet Analysis Based Automatic Brain Tumor Detection Method from MR Images.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2015

Simultaneous Feature Selection and Extraction Using Feature Significance.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2015

Rough-fuzzy clustering and multiresolution image analysis for text-graphics segmentation.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2015

Rough Sets for Finite Mixture Model Based HEp-2 Cell Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

A New Post-processing Method to Detect Brain Tumor Using Rough-Fuzzy Clustering.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Machine Intelligence, 2015

A New Similarity Measure for Identification of Disease Genes.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Machine Intelligence, 2015

A simple skull stripping algorithm for brain MRI.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

An automated method for counting and characterizing red blood cells using mathematical morphology.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

2014

A Rough Hypercuboid Approach for Feature Selection in Approximation Spaces.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

Gene ontology based quantitative index to select functionally diverse genes.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2014

Scalable Pattern Recognition Algorithms - Applications in Computational Biology and Bioinformatics

[BibT_eX]

[DOI]

Springer, ISBN: 978-3-319-05630-2, 2014

2013

Rough Set-Based Feature Selection: Criteria of Max-Dependency, Max-Relevance, and Max-Significance.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Rough Sets for Bias Field Correction in MR Images Using Contraharmonic Mean and Quantitative Index.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2013

Fuzzy-Rough Simultaneous Attribute Selection and Feature Extraction Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2013

Rough-Fuzzy Clustering for Grouping Functionally Similar Genes from Microarray Data.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Robust Rough-Fuzzy C-Means Algorithm: Design and Applications in Coding and Non-coding RNA Expression Data Clustering.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2013

µHEM for identification of differentially expressed miRNAs using hypercuboid equivalence partition matrix.

[BibT_eX]

[DOI]

BMC Bioinform., 2013

On fuzzy-rough attribute selection: Criteria of Max-Dependency, Max-Relevance, Min-Redundancy, and Max-Significance.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2013

City Block Distance for Identification of Co-expressed MicroRNAs.

[BibT_eX]

[DOI]

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

Rough-Fuzzy Clustering and M-Band Wavelet Packet for Text-Graphics Segmentation.

[BibT_eX]

[DOI]

Malay K. Kundu

Proceedings of the Pattern Recognition and Machine Intelligence, 2013

Rough Set Based Homogeneous Unsharp Masking for Bias Field Correction in MRI.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

Contraharmonic Mean Based Bias Field Correction in MR Images.

[BibT_eX]

[DOI]

Proceedings of the Computer Analysis of Images and Patterns, 2013

2012

Mutual Information-Based Supervised Attribute Clustering for Microarray Sample Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2012

A New Rough-Fuzzy Clustering Algorithm and its Applications.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012

Simultaneous Feature Selection and Extraction Using Fuzzy Rough Sets.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012

Rough-Fuzzy C-Means for Clustering Microarray Gene Expression Data.

[BibT_eX]

[DOI]

Proceedings of the Perception and Machine Intelligence - First Indo-Japan Conference, 2012

Fuzzy-Rough MRMS Method for Relevant and Significant Attribute Selection.

[BibT_eX]

[DOI]

Proceedings of the Advances on Computational Intelligence, 2012

Rough sets and support vector machine for selecting differentially expressed miRNAs.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

Robust RFCM algorithm for identification of co-expressed miRNAs.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

Analysis of Reachability Tree for Identification of Cyclic and Acyclic CA States.

[BibT_eX]

[DOI]

Proceedings of the Cellular Automata, 2012

2011

Fuzzy-Rough Supervised Attribute Clustering Algorithm and Classification of Microarray Data.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2011

Rough set based maximum relevance-maximum significance criterion and Gene selection from microarray data.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2011

Rough Sets for Selection of Functionally Diverse Genes from Microarray Data.

[BibT_eX]

[DOI]

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

Microarray Time-Series Data Clustering Using Rough-Fuzzy C-Means Algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010

Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part C, 2010

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

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2010

Feature Selection Using f-Information Measures in Fuzzy Approximation Spaces.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2010

Relevant and Non-Redundant Amino Acid Sequence Selection for Protein Functional Site Identification.

[BibT_eX]

[DOI]

Int. J. Softw. Sci. Comput. Intell., 2010

2009

f -Information Measures for Efficient Selection of Discriminative Genes From Microarray Data.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2009

Content-based image retrieval using visually significant point features.

[BibT_eX]

[DOI]

Minakshi Banerjee

Malay Kumar Kundu

Fuzzy Sets Syst., 2009

A New Possibilistic Biclustering Algorithm for Microarray Gene Expression Data.

[BibT_eX]

Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009

2008

Fault Diagnosis of Electronic Circuits Using Cellular Automata Based Pattern Classifier.

[BibT_eX]

[DOI]

Proceedings of the Soft Computing Applications in Industry, 2008

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

[BibT_eX]

[DOI]

Trans. Rough Sets, 2008

Non-uniform cellular automata based associative memory: Evolutionary design and basins of attraction.

[BibT_eX]

[DOI]

Inf. Sci., 2008

Efficient design of neural network tree using a new splitting criterion.

[BibT_eX]

[DOI]

Neurocomputing, 2008

Second Order Fuzzy Measure and Weighted Co-Occurrence Matrix for Segmentation of Brain MR Images.

[BibT_eX]

[DOI]

Malay Kumar Kundu

Bhabatosh Chanda

Fundam. Informaticae, 2008

On Characterization of Attractor Basins of Fuzzy Multiple Attractor Cellular Automata.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2008

Rough-Fuzzy Relational Clustering Algorithm for Biological Sequence Mining.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Prediction of Protein Functional Sites Using Novel String Kernels.

[BibT_eX]

[DOI]

Proceedings of the 2008 International Conference on Information Technology, 2008

2007

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

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2007

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

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2007

Statement of Retraction.

[BibT_eX]

[DOI]

Int. J. Comput. Math., 2007

Protein sequence analysis using relational soft clustering algorithms.

[BibT_eX]

[DOI]

Int. J. Comput. Math., 2007

RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2007

RBFFCA: A Hybrid Pattern Classifier Using Radial Basis Function and Fuzzy Cellular Automata.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2007

Rough Sets Based Hybrid C-Means Algorithm.

[BibT_eX]

Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Design of Response-Pattern Classi er for Fault Diagnosis of Electronic Circuits.

[BibT_eX]

Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Deformation Correction in Brain MRI Using Mutual Information and Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007

2005

Fuzzy Cellular Automata for Modeling Pattern Classifier.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2005

Design of Multilayer Perceptron Based Tree-Structured Classifier for Biological Dataset.

[BibT_eX]

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

2004

Design and characterization of cellular automata based associative memory for pattern recognition.

[BibT_eX]

[DOI]

Niloy Ganguly

IEEE Trans. Syst. Man Cybern. Part B, 2004

Cellular Automata Based Pattern Classifying Machine for Distributed Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 11th International Conference, 2004

FMACA: A Fuzzy Cellular Automata Based Pattern Classifier.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advances Applications, 2004

Cellular Automata Based Encompression Technology for Voice Data.

[BibT_eX]

[DOI]

Proceedings of the Cellular Automata, 2004

Cellular Automata Evolution for Pattern Classification.

[BibT_eX]

[DOI]

Proceedings of the Cellular Automata, 2004

Cellular Automata Evolution for Distributed Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Cellular Automata, 2004

2003

Error correcting capability of cellular automata based associative memory.

[BibT_eX]

[DOI]

Niloy Ganguly

IEEE Trans. Syst. Man Cybern. Part A, 2003

Theory and Application of Cellular Automata For Pattern Classification.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2003

A Pipeline Architecture for Encompression (Encryption + Compression) Technology.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on VLSI Design (VLSI Design 2003), 2003

Application of Fuzzy Cellular Automata (FCA) For Modeling Tree-Structured Pattern Classifier.

[BibT_eX]

Rishi Nandi

Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

2002

Generalized Multiple Attractor Cellular Automata (GMACA) Model for Associative Memory.

[BibT_eX]

[DOI]

Niloy Ganguly

Int. J. Pattern Recognit. Artif. Intell., 2002

Characterization of Non-linear Cellular Automata Model for Pattern Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Soft Computing, 2002

Cellular Automata Machine for Pattern Recognition.

[BibT_eX]

[DOI]

Proceedings of the Cellular Automata, 2002

Evolving Cellular Automata as Pattern Classifier.

[BibT_eX]

[DOI]

Proceedings of the Cellular Automata, 2002

2001

Evolving Cellular Automata Based Associative Memory for Pattern Recognition.

[BibT_eX]

[DOI]