Evolving Cellular Automata Based Associative Memory for Pattern Recognition. - Niloy Ganguly; Arijit Das; Pradipta Maji; Biplab K. Sikdar; Parimal Pal Chaudhuri (HiPC, 2001)

Evolving Cellular Automata as Pattern Classifier. - Niloy Ganguly; Pradipta Maji; Sandip Dhar; Biplab K. Sikdar; Parimal Pal Chaudhuri (ACRI, 2002)

Cellular Automata Machine for Pattern Recognition. - Pradipta Maji; Niloy Ganguly; Sourav Saha 001; Anup K. Roy; Parimal Pal Chaudhuri (ACRI, 2002)

Characterization of Non-linear Cellular Automata Model for Pattern Recognition. - Niloy Ganguly; Pradipta Maji; Arijit Das; Biplab K. Sikdar; Parimal Pal Chaudhuri (AFSS, 2002)

Generalized Multiple Attractor Cellular Automata (GMACA) Model for Associative Memory. - Niloy Ganguly; Pradipta Maji; Biplab K. Sikdar; Parimal Pal Chaudhuri (Int. J. Pattern Recognit. Artif. Intell., 2002)

Application of Fuzzy Cellular Automata (FCA) For Modeling Tree-Structured Pattern Classifier. - Pradipta Maji; Rishi Nandi; Parimal Pal Chaudhuri (IICAI, 2003)

A Pipeline Architecture for Encompression (Encryption + Compression) Technology. - Chandrama Shaw; Debashis Chatterji; Pradipta Maji; Subhayan Sen; B. N. Roy; Parimal Pal Chaudhuri (VLSI Design, 2003)

Theory and Application of Cellular Automata For Pattern Classification. - Pradipta Maji; Chandrama Shaw; Niloy Ganguly; Biplab K. Sikdar; Parimal Pal Chaudhuri (Fundam. Informaticae, 2003)

Error correcting capability of cellular automata based associative memory. - Pradipta Maji; Niloy Ganguly; Parimal Pal Chaudhuri (IEEE Trans. Syst. Man Cybern. Part A, 2003)

Cellular Automata Evolution for Distributed Data Mining. - Pradipta Maji; Biplab K. Sikdar; Parimal Pal Chaudhuri (ACRI, 2004)

Cellular Automata Evolution for Pattern Classification. - Pradipta Maji; Biplab K. Sikdar; Parimal Pal Chaudhuri (ACRI, 2004)

Cellular Automata Based Encompression Technology for Voice Data. - Chandrama Shaw; Pradipta Maji; Sourav Saha 001; Biplab K. Sikdar; Samir Roy; Parimal Pal Chaudhuri (ACRI, 2004)

FMACA: A Fuzzy Cellular Automata Based Pattern Classifier. - Pradipta Maji; Parimal Pal Chaudhuri (DASFAA, 2004)

Cellular Automata Based Pattern Classifying Machine for Distributed Data Mining. - Pradipta Maji; Parimal Pal Chaudhuri (ICONIP, 2004)

Design and characterization of cellular automata based associative memory for pattern recognition. - Niloy Ganguly; Pradipta Maji; Biplab K. Sikdar; Parimal Pal Chaudhuri (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Design of Multilayer Perceptron Based Tree-Structured Classifier for Biological Dataset. - Pradipta Maji; Chandra Das (IICAI, 2005)

Fuzzy Cellular Automata for Modeling Pattern Classifier. - Pradipta Maji; Parimal Pal Chaudhuri (IEICE Trans. Inf. Syst., 2005)

Deformation Correction in Brain MRI Using Mutual Information and Genetic Algorithm. - Pradipta Maji; Bhabatosh Chanda; Malay Kumar Kundu; Suman Dasgupta (ICCTA, 2007)

Design of Response-Pattern Classi er for Fault Diagnosis of Electronic Circuits. - Pradipta Maji; Parimal Pal Chaudhuri (IICAI, 2007)

Rough Sets Based Hybrid C-Means Algorithm. - Pradipta Maji; Sankar K. Pal (IICAI, 2007)

RBFFCA: A Hybrid Pattern Classifier Using Radial Basis Function and Fuzzy Cellular Automata. - Pradipta Maji; Parimal Pal Chaudhuri (Fundam. Informaticae, 2007)

RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets. - Pradipta Maji; Sankar K. Pal (Fundam. Informaticae, 2007)

Protein sequence analysis using relational soft clustering algorithms. - Pradipta Maji; Sankar K. Pal (Int. J. Comput. Math., 2007)

Statement of Retraction. - Pradipta Maji; Sankar K. Pal (Int. J. Comput. Math., 2007)

Rough-Fuzzy C-Medoids Algorithm and Selection of Bio-Basis for Amino Acid Sequence Analysis. - Pradipta Maji; Sankar K. Pal (IEEE Trans. Knowl. Data Eng., 2007)

Rough Set Based Generalized Fuzzy C-Means Algorithm and Quantitative Indices. - Pradipta Maji; Sankar K. Pal (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Prediction of Protein Functional Sites Using Novel String Kernels. - Chandra Das; Pradipta Maji (ICIT, 2008)

Rough-Fuzzy Relational Clustering Algorithm for Biological Sequence Mining. - Pradipta Maji; Sankar K. Pal (RSKT, 2008)

On Characterization of Attractor Basins of Fuzzy Multiple Attractor Cellular Automata. - Pradipta Maji (Fundam. Informaticae, 2008)

Second Order Fuzzy Measure and Weighted Co-Occurrence Matrix for Segmentation of Brain MR Images. - Pradipta Maji; Malay Kumar Kundu; Bhabatosh Chanda (Fundam. Informaticae, 2008)

Efficient design of neural network tree using a new splitting criterion. - Pradipta Maji (Neurocomputing, 2008)

Non-uniform cellular automata based associative memory: Evolutionary design and basins of attraction. - Pradipta Maji; Parimal Pal Chaudhuri (Inf. Sci., 2008)

Maximum Class Separability for Rough-Fuzzy C-Means Based Brain MR Image Segmentation. - Pradipta Maji; Sankar K. Pal (Trans. Rough Sets, 2008)

Fault Diagnosis of Electronic Circuits Using Cellular Automata Based Pattern Classifier. - Pradipta Maji; Parimal Pal Chaudhuri (Soft Computing Applications in Industry, 2008)

A New Possibilistic Biclustering Algorithm for Microarray Gene Expression Data. - Chandra Das; Pradipta Maji (IICAI, 2009)

Content-based image retrieval using visually significant point features. - Minakshi Banerjee; Malay Kumar Kundu; Pradipta Maji (Fuzzy Sets Syst., 2009)

f -Information Measures for Efficient Selection of Discriminative Genes From Microarray Data. - Pradipta Maji (IEEE Trans. Biomed. Eng., 2009)

Relevant and Non-Redundant Amino Acid Sequence Selection for Protein Functional Site Identification. - Chandra Das; Pradipta Maji (Int. J. Softw. Sci. Comput. Intell., 2010)

Feature Selection Using f-Information Measures in Fuzzy Approximation Spaces. - Pradipta Maji; Sankar K. Pal (IEEE Trans. Knowl. Data Eng., 2010)

Fuzzy-Rough Sets for Information Measures and Selection of Relevant Genes From Microarray Data. - Pradipta Maji; Sankar K. Pal (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules. - Pradipta Maji; Sushmita Paul (IEEE Trans. Syst. Man Cybern. Part C, 2010)

Microarray Time-Series Data Clustering Using Rough-Fuzzy C-Means Algorithm. - Pradipta Maji; Sushmita Paul (BIBM, 2011)

Rough Sets for Selection of Functionally Diverse Genes from Microarray Data. - Sushmita Paul; Pradipta Maji (SEMCCO (1), 2011)

Rough set based maximum relevance-maximum significance criterion and Gene selection from microarray data. - Pradipta Maji; Sushmita Paul (Int. J. Approx. Reason., 2011)

Fuzzy-Rough Supervised Attribute Clustering Algorithm and Classification of Microarray Data. - Pradipta Maji (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Analysis of Reachability Tree for Identification of Cyclic and Acyclic CA States. - Nazma Naskar; Avik Chakraborty; Pradipta Maji; Sukanta Das (ACRI, 2012)

Robust RFCM algorithm for identification of co-expressed miRNAs. - Sushmita Paul; Pradipta Maji (BIBM, 2012)

Rough sets and support vector machine for selecting differentially expressed miRNAs. - Sushmita Paul; Pradipta Maji (BIBM Workshops, 2012)

Fuzzy-Rough MRMS Method for Relevant and Significant Attribute Selection. - Pradipta Maji; Partha Garai (IPMU (1), 2012)

Rough-Fuzzy C-Means for Clustering Microarray Gene Expression Data. - Pradipta Maji; Sushmita Paul (PerMIn, 2012)

Simultaneous Feature Selection and Extraction Using Fuzzy Rough Sets. - Pradipta Maji; Partha Garai (SocProS, 2012)

A New Rough-Fuzzy Clustering Algorithm and its Applications. - Sushmita Paul; Pradipta Maji (SocProS, 2012)

Mutual Information-Based Supervised Attribute Clustering for Microarray Sample Classification. - Pradipta Maji (IEEE Trans. Knowl. Data Eng., 2012)

Contraharmonic Mean Based Bias Field Correction in MR Images. - Abhirup Banerjee; Pradipta Maji (CAIP (1), 2013)

Rough Set Based Homogeneous Unsharp Masking for Bias Field Correction in MRI. - Abhirup Banerjee; Pradipta Maji (ICIAP (2), 2013)

Rough-Fuzzy Clustering and M-Band Wavelet Packet for Text-Graphics Segmentation. - Pradipta Maji; Shaswati Roy; Malay K. Kundu (PReMI, 2013)

City Block Distance for Identification of Co-expressed MicroRNAs. - Sushmita Paul; Pradipta Maji (SEMCCO (2), 2013)

On fuzzy-rough attribute selection: Criteria of Max-Dependency, Max-Relevance, Min-Redundancy, and Max-Significance. - Pradipta Maji; Partha Garai (Appl. Soft Comput., 2013)

µHEM for identification of differentially expressed miRNAs using hypercuboid equivalence partition matrix. - Sushmita Paul; Pradipta Maji (BMC Bioinform., 2013)

Robust Rough-Fuzzy C-Means Algorithm: Design and Applications in Coding and Non-coding RNA Expression Data Clustering. - Pradipta Maji; Sushmita Paul (Fundam. Informaticae, 2013)

Rough-Fuzzy Clustering for Grouping Functionally Similar Genes from Microarray Data. - Pradipta Maji; Sushmita Paul (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Fuzzy-Rough Simultaneous Attribute Selection and Feature Extraction Algorithm. - Pradipta Maji; Partha Garai (IEEE Trans. Cybern., 2013)

Rough Sets for Bias Field Correction in MR Images Using Contraharmonic Mean and Quantitative Index. - Abhirup Banerjee; Pradipta Maji (IEEE Trans. Medical Imaging, 2013)

Rough Set-Based Feature Selection: Criteria of Max-Dependency, Max-Relevance, and Max-Significance. - Pradipta Maji; Sushmita Paul (Rough Sets and Intelligent Systems (2), 2013)

Scalable Pattern Recognition Algorithms - Applications in Computational Biology and Bioinformatics - Pradipta Maji; Sushmita Paul (Springer, 2014)

Gene ontology based quantitative index to select functionally diverse genes. - Sushmita Paul; Pradipta Maji (Int. J. Mach. Learn. Cybern., 2014)

A Rough Hypercuboid Approach for Feature Selection in Approximation Spaces. - Pradipta Maji (IEEE Trans. Knowl. Data Eng., 2014)

An automated method for counting and characterizing red blood cells using mathematical morphology. - Pradipta Maji; Ankita Mandal; Madhura Ganguly; Sanjoy Kumar Saha 001 (ICAPR, 2015)

A simple skull stripping algorithm for brain MRI. - Shaswati Roy; Pradipta Maji (ICAPR, 2015)

A New Similarity Measure for Identification of Disease Genes. - Pradipta Maji; Ekta Shah; Sushmita Paul (PReMI, 2015)

A New Post-processing Method to Detect Brain Tumor Using Rough-Fuzzy Clustering. - Shaswati Roy; Pradipta Maji (PReMI, 2015)

Rough Sets for Finite Mixture Model Based HEp-2 Cell Segmentation. - Abhirup Banerjee; Pradipta Maji (RSKT, 2015)

Rough-fuzzy clustering and multiresolution image analysis for text-graphics segmentation. - Pradipta Maji; Shaswati Roy (Appl. Soft Comput., 2015)

Simultaneous Feature Selection and Extraction Using Feature Significance. - Pradipta Maji; Partha Garai (Fundam. Informaticae, 2015)

SoBT-RFW: Rough-Fuzzy Computing and Wavelet Analysis Based Automatic Brain Tumor Detection Method from MR Images. - Pradipta Maji; Shaswati Roy (Fundam. Informaticae, 2015)

Possibilistic biclustering algorithm for discovering value-coherent overlapping δ-biclusters. - Chandra Das; Pradipta Maji (Int. J. Mach. Learn. Cybern., 2015)

IT2 Fuzzy-Rough Sets and Max Relevance-Max Significance Criterion for Attribute Selection. - Pradipta Maji; Partha Garai (IEEE Trans. Cybern., 2015)

Rough Sets and Stomped Normal Distribution for Simultaneous Segmentation and Bias Field Correction in Brain MR Images. - Abhirup Banerjee; Pradipta Maji (IEEE Trans. Image Process., 2015)

A modified rough-fuzzy clustering algorithm with spatial information for HEp-2 cell image segmentation. - Shaswati Roy; Pradipta Maji (BIBM, 2016)

Clustering of microRNAs Using Rough Hypercuboid Based Fuzzy C-Means. - Partha Garai; Pradipta Maji (ICIT, 2016)

Rough-probabilistic clustering and hidden Markov random field model for segmentation of HEp-2 cell and brain MR images. - Abhirup Banerjee; Pradipta Maji (Appl. Soft Comput., 2016)

Rough Hypercuboid Based Supervised Regularized Canonical Correlation for Multimodal Data Analysis. - Pradipta Maji; Ankita Mandal (Fundam. Informaticae, 2016)

On Synthesis of Non-Uniform Cellular Automata Having Only Point Attractors. - Sumit Adak; Nazma Naskar; Pradipta Maji; Sukanta Das (J. Cell. Autom., 2016)

Preface: pattern recognition and mining. - Pradipta Maji; Sankar K. Pal; Andrzej Skowron (Nat. Comput., 2016)

Gene expression and protein-protein interaction data for identification of colon cancer related genes using f-information measures. - Sushmita Paul; Pradipta Maji (Nat. Comput., 2016)

Rough Hypercuboid and Modified Kulczynski Coefficient for Disease Gene Identification. - Ekta Shah; Pradipta Maji (ACIIDS (2), 2017)

Multimodal Brain Tumor Segmentation Using Ensemble of Forest Method. - Ashish Phophalia; Pradipta Maji (BrainLes@MICCAI, 2017)

A New Method to Address Singularity Problem in Multimodal Data Analysis. - Ankita Mandal; Pradipta Maji (PReMI, 2017)

Advances in Rough Set Based Hybrid Approaches for Medical Image Analysis. - Pradipta Maji (IJCRS (1), 2017)

Regularization and Shrinkage in Rough Set Based Canonical Correlation Analysis. - Ankita Mandal; Pradipta Maji (IJCRS (1), 2017)

Rough-fuzzy segmentation of HEp-2 cell indirect immunofluorescence images. - Shaswati Roy; Pradipta Maji (Int. J. Data Min. Bioinform., 2017)

Stomped-t: A novel probability distribution for rough-probabilistic clustering. - Abhirup Banerjee; Pradipta Maji (Inf. Sci., 2017)

RelSim: An integrated method to identify disease genes using gene expression profiles and PPIN based similarity measure. - Pradipta Maji; Ekta Shah; Sushmita Paul (Inf. Sci., 2017)

Multimodal Omics Data Integration Using Max Relevance-Max Significance Criterion. - Pradipta Maji; Ankita Mandal (IEEE Trans. Biomed. Eng., 2017)

Significance and Functional Similarity for Identification of Disease Genes. - Pradipta Maji; Ekta Shah (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Spatially Constrained Student's t-Distribution Based Mixture Model for Robust Image Segmentation. - Abhirup Banerjee; Pradipta Maji (J. Math. Imaging Vis., 2018)

FaRoC: Fast and Robust Supervised Canonical Correlation Analysis for Multimodal Omics Data. - Ankita Mandal; Pradipta Maji (IEEE Trans. Cybern., 2018)

An Efficient Method for Automatic Recognition of Virus Particles in TEM Images. - Debamita Kumar; Pradipta Maji (PReMI (2), 2019)

Rough Sets and Local Texture Features for Diagnosis of Connective Tissue Disorders. - Debamita Kumar; Pradipta Maji (IJCRS, 2019)

Rough-Fuzzy Circular Clustering for Color Normalization of Histological Images. - Pradipta Maji; Suman Mahapatra (Fundam. Informaticae, 2019)

Segmentation of bias field induced brain MR images using rough sets and stomped-t distribution. - Abhirup Banerjee; Pradipta Maji (Inf. Sci., 2019)

Selection of relevant texture descriptors for recognition of HEp-2 cell staining patterns. - Debamita Kumar; Pradipta Maji (Int. J. Mach. Learn. Cybern., 2020)

CanSuR: a robust method for staining pattern recognition of HEp-2 cell IIF images. - Ankita Mandal; Pradipta Maji (Neural Comput. Appl., 2020)

Rough segmentation of coherent local intensity for bias induced 3-D MR brain images. - Shaswati Roy; Pradipta Maji (Pattern Recognit., 2020)

Low-Rank Joint Subspace Construction for Cancer Subtype Discovery. - Aparajita Khan; Pradipta Maji (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Medical Image Segmentation by Partitioning Spatially Constrained Fuzzy Approximation Spaces. - Shaswati Roy; Pradipta Maji (IEEE Trans. Fuzzy Syst., 2020)

A Spatially Constrained Probabilistic Model for Robust Image Segmentation. - Abhirup Banerjee; Pradipta Maji (IEEE Trans. Image Process., 2020)

Circular Clustering in Fuzzy Approximation Spaces for Color Normalization of Histological Images. - Pradipta Maji; Suman Mahapatra (IEEE Trans. Medical Imaging, 2020)

Rough-Fuzzy Segmentation of Brain MR Volumes: Applications in Tumor Detection and Malignancy Assessment. - Pradipta Maji; Shaswati Roy (IJCRS, 2021)

Approximate Graph Laplacians for Multimodal Data Clustering. - Aparajita Khan; Pradipta Maji (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Rough-Bayesian approach to select class-pair specific descriptors for HEp-2 cell staining pattern recognition. - Debamita Kumar; Pradipta Maji (Pattern Recognit., 2021)

Rough Hypercuboid Based Generalized and Robust IT2 Fuzzy C-Means Algorithm. - Pradipta Maji; Partha Garai (IEEE Trans. Cybern., 2021)

Scalable Non-Linear Graph Fusion for Prioritizing Cancer-Causing Genes. - Ekta Shah; Pradipta Maji (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Selective Update of Relevant Eigenspaces for Integrative Clustering of Multimodal Data. - Aparajita Khan; Pradipta Maji (IEEE Trans. Cybern., 2022)

Multi-Manifold Optimization for Multi-View Subspace Clustering. - Aparajita Khan; Pradipta Maji (IEEE Trans. Neural Networks Learn. Syst., 2022)

Multi-View Kernel Learning for Identification of Disease Genes. - Ekta Shah; Pradipta Maji (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Truncated Normal Mixture Prior Based Deep Latent Model for Color Normalization of Histology Images. - Suman Mahapatra; Pradipta Maji (IEEE Trans. Medical Imaging, 2023)

Adaptive Generalized Multi-View Canonical Correlation Analysis for Incrementally Update Multiblock Data. - Ankita Mandal; Pradipta Maji (IEEE Trans. Knowl. Data Eng., 2023)

Multiview Regularized Discriminant Canonical Correlation Analysis: Sequential Extraction of Relevant Features From Multiblock Data. - Ankita Mandal; Pradipta Maji (IEEE Trans. Cybern., 2023)

Tumor delineation from 3-D MR brain images. - Shaswati Roy; Pradipta Maji (Signal Image Video Process., 2023)

Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection. - Yongwei Nie; Hao Huang; Chengjiang Long; Qing Zhang 006; Pradipta Maji; Hongmin Cai (ECCV (30), 2024)

Multi-Task Learning and Sparse Discriminant Canonical Correlation Analysis for Identification of Diagnosis-Specific Genotype-Phenotype Association. - Sankar Mondal; Pradipta Maji (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Discriminative Deep Generalized Dependency Analysis for Multi-View Data. - Debamita Kumar; Pradipta Maji (IEEE Trans. Artif. Intell., 2024)

Discriminative Deep Canonical Correlation Analysis for Multi-View Data. - Debamita Kumar; Pradipta Maji (IEEE Trans. Neural Networks Learn. Syst., 2024)

Class-structure preserving multi-view correlated discriminant analysis for multiblock data. - Sankar Mondal; Pradipta Maji (Int. J. Mach. Learn. Cybern., 2025)

Graph Learning With Riemannian Optimization for Multi-View Integrative Clustering. - Aparajita Khan; Pradipta Maji (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Optimal Transport Driven Asymmetric Image-to-Image Translation for Nuclei Segmentation of Histological Images. - Suman Mahapatra; Pradipta Maji (CoRR, 2025)

SiliCoN: Simultaneous Nuclei Segmentation and Color Normalization of Histological Images. - Suman Mahapatra; Pradipta Maji (CoRR, 2025)