Pradipta Maji

Orcid: 0000-0002-8288-8917

According to our database1, Pradipta Maji authored at least 122 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Discriminative Deep Generalized Dependency Analysis for Multi-View Data.
IEEE Trans. Artif. Intell., April, 2024

Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection.
CoRR, 2024

2023
Tumor delineation from 3-D MR brain images.
Signal Image Video Process., October, 2023

Multiview Regularized Discriminant Canonical Correlation Analysis: Sequential Extraction of Relevant Features From Multiblock Data.
IEEE Trans. Cybern., September, 2023

Adaptive Generalized Multi-View Canonical Correlation Analysis for Incrementally Update Multiblock Data.
IEEE Trans. Knowl. Data Eng., July, 2023

Truncated Normal Mixture Prior Based Deep Latent Model for Color Normalization of Histology Images.
IEEE Trans. Medical Imaging, June, 2023

Multi-View Kernel Learning for Identification of Disease Genes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022
Multi-Manifold Optimization for Multi-View Subspace Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2022

Selective Update of Relevant Eigenspaces for Integrative Clustering of Multimodal Data.
IEEE Trans. Cybern., 2022

Scalable Non-Linear Graph Fusion for Prioritizing Cancer-Causing Genes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021
Rough Hypercuboid Based Generalized and Robust IT2 Fuzzy C-Means Algorithm.
IEEE Trans. Cybern., 2021

Rough-Bayesian approach to select class-pair specific descriptors for HEp-2 cell staining pattern recognition.
Pattern Recognit., 2021

Approximate Graph Laplacians for Multimodal Data Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Rough-Fuzzy Segmentation of Brain MR Volumes: Applications in Tumor Detection and Malignancy Assessment.
Proceedings of the Rough Sets - International Joint Conference, 2021

2020
Circular Clustering in Fuzzy Approximation Spaces for Color Normalization of Histological Images.
IEEE Trans. Medical Imaging, 2020

A Spatially Constrained Probabilistic Model for Robust Image Segmentation.
IEEE Trans. Image Process., 2020

Medical Image Segmentation by Partitioning Spatially Constrained Fuzzy Approximation Spaces.
IEEE Trans. Fuzzy Syst., 2020

Low-Rank Joint Subspace Construction for Cancer Subtype Discovery.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Rough segmentation of coherent local intensity for bias induced 3-D MR brain images.
Pattern Recognit., 2020

CanSuR: a robust method for staining pattern recognition of HEp-2 cell IIF images.
Neural Comput. Appl., 2020

Selection of relevant texture descriptors for recognition of HEp-2 cell staining patterns.
Int. J. Mach. Learn. Cybern., 2020

2019
Segmentation of bias field induced brain MR images using rough sets and stomped-<i>t</i> distribution.
Inf. Sci., 2019

Rough-Fuzzy Circular Clustering for Color Normalization of Histological Images.
Fundam. Informaticae, 2019

Rough Sets and Local Texture Features for Diagnosis of Connective Tissue Disorders.
Proceedings of the Rough Sets - International Joint Conference, 2019

An Efficient Method for Automatic Recognition of Virus Particles in TEM Images.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

2018
FaRoC: Fast and Robust Supervised Canonical Correlation Analysis for Multimodal Omics Data.
IEEE Trans. Cybern., 2018

Spatially Constrained Student's t-Distribution Based Mixture Model for Robust Image Segmentation.
J. Math. Imaging Vis., 2018

2017
Significance and Functional Similarity for Identification of Disease Genes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Multimodal Omics Data Integration Using Max Relevance-Max Significance Criterion.
IEEE Trans. Biomed. Eng., 2017

RelSim: An integrated method to identify disease genes using gene expression profiles and PPIN based similarity measure.
Inf. Sci., 2017

Stomped-t: A novel probability distribution for rough-probabilistic clustering.
Inf. Sci., 2017

Rough-fuzzy segmentation of HEp-2 cell indirect immunofluorescence images.
Int. J. Data Min. Bioinform., 2017

Regularization and Shrinkage in Rough Set Based Canonical Correlation Analysis.
Proceedings of the Rough Sets - International Joint Conference, 2017

Advances in Rough Set Based Hybrid Approaches for Medical Image Analysis.
Proceedings of the Rough Sets - International Joint Conference, 2017

A New Method to Address Singularity Problem in Multimodal Data Analysis.
Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Multimodal Brain Tumor Segmentation Using Ensemble of Forest Method.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Rough Hypercuboid and Modified Kulczynski Coefficient for Disease Gene Identification.
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.
Nat. Comput., 2016

Preface: pattern recognition and mining.
Nat. Comput., 2016

On Synthesis of Non-Uniform Cellular Automata Having Only Point Attractors.
J. Cell. Autom., 2016

Rough Hypercuboid Based Supervised Regularized Canonical Correlation for Multimodal Data Analysis.
Fundam. Informaticae, 2016

Rough-probabilistic clustering and hidden Markov random field model for segmentation of HEp-2 cell and brain MR images.
Appl. Soft Comput., 2016

Clustering of microRNAs Using Rough Hypercuboid Based Fuzzy C-Means.
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.
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.
IEEE Trans. Image Process., 2015

IT2 Fuzzy-Rough Sets and Max Relevance-Max Significance Criterion for Attribute Selection.
IEEE Trans. Cybern., 2015

Possibilistic biclustering algorithm for discovering value-coherent overlapping<i> δ</i>-biclusters.
Int. J. Mach. Learn. Cybern., 2015

SoBT-RFW: Rough-Fuzzy Computing and Wavelet Analysis Based Automatic Brain Tumor Detection Method from MR Images.
Fundam. Informaticae, 2015

Simultaneous Feature Selection and Extraction Using Feature Significance.
Fundam. Informaticae, 2015

Rough-fuzzy clustering and multiresolution image analysis for text-graphics segmentation.
Appl. Soft Comput., 2015

Rough Sets for Finite Mixture Model Based HEp-2 Cell Segmentation.
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.
Proceedings of the Pattern Recognition and Machine Intelligence, 2015

A New Similarity Measure for Identification of Disease Genes.
Proceedings of the Pattern Recognition and Machine Intelligence, 2015

A simple skull stripping algorithm for brain MRI.
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.
Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

2014
A Rough Hypercuboid Approach for Feature Selection in Approximation Spaces.
IEEE Trans. Knowl. Data Eng., 2014

Gene ontology based quantitative index to select functionally diverse genes.
Int. J. Mach. Learn. Cybern., 2014

Scalable Pattern Recognition Algorithms - Applications in Computational Biology and Bioinformatics
Springer, ISBN: 978-3-319-05630-2, 2014

2013
Rough Set-Based Feature Selection: Criteria of Max-Dependency, Max-Relevance, and Max-Significance.
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.
IEEE Trans. Medical Imaging, 2013

Fuzzy-Rough Simultaneous Attribute Selection and Feature Extraction Algorithm.
IEEE Trans. Cybern., 2013

Rough-Fuzzy Clustering for Grouping Functionally Similar Genes from Microarray Data.
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.
Fundam. Informaticae, 2013

µHEM for identification of differentially expressed miRNAs using hypercuboid equivalence partition matrix.
BMC Bioinform., 2013

On fuzzy-rough attribute selection: Criteria of Max-Dependency, Max-Relevance, Min-Redundancy, and Max-Significance.
Appl. Soft Comput., 2013

City Block Distance for Identification of Co-expressed MicroRNAs.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

Rough-Fuzzy Clustering and M-Band Wavelet Packet for Text-Graphics Segmentation.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013

Rough Set Based Homogeneous Unsharp Masking for Bias Field Correction in MRI.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

Contraharmonic Mean Based Bias Field Correction in MR Images.
Proceedings of the Computer Analysis of Images and Patterns, 2013

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

A New Rough-Fuzzy Clustering Algorithm and its Applications.
Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012

Simultaneous Feature Selection and Extraction Using Fuzzy Rough Sets.
Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012

Rough-Fuzzy C-Means for Clustering Microarray Gene Expression Data.
Proceedings of the Perception and Machine Intelligence - First Indo-Japan Conference, 2012

Fuzzy-Rough MRMS Method for Relevant and Significant Attribute Selection.
Proceedings of the Advances on Computational Intelligence, 2012

Rough sets and support vector machine for selecting differentially expressed miRNAs.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

Robust RFCM algorithm for identification of co-expressed miRNAs.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

Analysis of Reachability Tree for Identification of Cyclic and Acyclic CA States.
Proceedings of the Cellular Automata, 2012

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

Rough set based maximum relevance-maximum significance criterion and Gene selection from microarray data.
Int. J. Approx. Reason., 2011

Rough Sets for Selection of Functionally Diverse Genes from Microarray Data.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

Microarray Time-Series Data Clustering Using Rough-Fuzzy C-Means Algorithm.
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.
IEEE Trans. Syst. Man Cybern. Part C, 2010

Fuzzy-Rough Sets for Information Measures and Selection of Relevant Genes From Microarray Data.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Feature Selection Using f-Information Measures in Fuzzy Approximation Spaces.
IEEE Trans. Knowl. Data Eng., 2010

Relevant and Non-Redundant Amino Acid Sequence Selection for Protein Functional Site Identification.
Int. J. Softw. Sci. Comput. Intell., 2010

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

Content-based image retrieval using visually significant point features.
Fuzzy Sets Syst., 2009

A New Possibilistic Biclustering Algorithm for Microarray Gene Expression Data.
Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009

2008
Fault Diagnosis of Electronic Circuits Using Cellular Automata Based Pattern Classifier.
Proceedings of the Soft Computing Applications in Industry, 2008

Maximum Class Separability for Rough-Fuzzy C-Means Based Brain MR Image Segmentation.
Trans. Rough Sets, 2008

Non-uniform cellular automata based associative memory: Evolutionary design and basins of attraction.
Inf. Sci., 2008

Efficient design of neural network tree using a new splitting criterion.
Neurocomputing, 2008

Second Order Fuzzy Measure and Weighted Co-Occurrence Matrix for Segmentation of Brain MR Images.
Fundam. Informaticae, 2008

On Characterization of Attractor Basins of Fuzzy Multiple Attractor Cellular Automata.
Fundam. Informaticae, 2008

Rough-Fuzzy Relational Clustering Algorithm for Biological Sequence Mining.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Prediction of Protein Functional Sites Using Novel String Kernels.
Proceedings of the 2008 International Conference on Information Technology, 2008

2007
Rough Set Based Generalized Fuzzy C-Means Algorithm and Quantitative Indices.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Rough-Fuzzy C-Medoids Algorithm and Selection of Bio-Basis for Amino Acid Sequence Analysis.
IEEE Trans. Knowl. Data Eng., 2007

Statement of Retraction.
Int. J. Comput. Math., 2007

Protein sequence analysis using relational soft clustering algorithms.
Int. J. Comput. Math., 2007

RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets.
Fundam. Informaticae, 2007

RBFFCA: A Hybrid Pattern Classifier Using Radial Basis Function and Fuzzy Cellular Automata.
Fundam. Informaticae, 2007

Rough Sets Based Hybrid C-Means Algorithm.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Design of Response-Pattern Classi er for Fault Diagnosis of Electronic Circuits.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Deformation Correction in Brain MRI Using Mutual Information and Genetic Algorithm.
Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007

2005
Fuzzy Cellular Automata for Modeling Pattern Classifier.
IEICE Trans. Inf. Syst., 2005

Design of Multilayer Perceptron Based Tree-Structured Classifier for Biological Dataset.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

2004
Design and characterization of cellular automata based associative memory for pattern recognition.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Cellular Automata Based Pattern Classifying Machine for Distributed Data Mining.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

FMACA: A Fuzzy Cellular Automata Based Pattern Classifier.
Proceedings of the Database Systems for Advances Applications, 2004

Cellular Automata Based Encompression Technology for Voice Data.
Proceedings of the Cellular Automata, 2004

Cellular Automata Evolution for Pattern Classification.
Proceedings of the Cellular Automata, 2004

Cellular Automata Evolution for Distributed Data Mining.
Proceedings of the Cellular Automata, 2004

2003
Error correcting capability of cellular automata based associative memory.
IEEE Trans. Syst. Man Cybern. Part A, 2003

Theory and Application of Cellular Automata For Pattern Classification.
Fundam. Informaticae, 2003

A Pipeline Architecture for Encompression (Encryption + Compression) Technology.
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.
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

2002
Generalized Multiple Attractor Cellular Automata (GMACA) Model for Associative Memory.
Int. J. Pattern Recognit. Artif. Intell., 2002

Characterization of Non-linear Cellular Automata Model for Pattern Recognition.
Proceedings of the Advances in Soft Computing, 2002

Cellular Automata Machine for Pattern Recognition.
Proceedings of the Cellular Automata, 2002

Evolving Cellular Automata as Pattern Classifier.
Proceedings of the Cellular Automata, 2002

2001
Evolving Cellular Automata Based Associative Memory for Pattern Recognition.
Proceedings of the High Performance Computing - HiPC 2001, 8th International Conference, 2001


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