Sanghamitra Bandyopadhyay

发表

An improved algorithm for clustering gene expression data

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2007, Bioinform..

Improved differential evolution for microarray analysis

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski, 2012, Int. J. Data Min. Bioinform..

Semi-GAPS: A Semi-supervised Clustering Method Using Point Symmetry

Sanghamitra Bandyopadhyay, Sriparna Saha, 2009, Fundam. Informaticae.

Gene Identification: Classical and Computational Intelligence Approaches

Ujjwal Maulik, Sanghamitra Bandyopadhyay, D. Roy, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Clustering based online automatic objective reduction to aid many-objective optimization

Sanghamitra Bandyopadhyay, Monalisa Pal, Sriparna Saha, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Validity index for crisp and fuzzy clusters

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Malay Kumar Pakhira, 2004, Pattern Recognit..

A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2008, IEEE Transactions on Knowledge and Data Engineering.

Computational Biology and Bioinformatics

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2011 .

Gene expression data clustering using a multiobjective symmetry based clustering technique

Sanghamitra Bandyopadhyay, Asif Ekbal, Sriparna Saha, 2013, Comput. Biol. Medicine.

Contemporary Computing - 4th International Conference, IC3 2011, Noida, India, August 8-10, 2011. Proceedings

Sanghamitra Bandyopadhyay, Srinivas Aluru, Bertil Schmidt, 2011, IC3.

Pattern Recognition and Machine Intelligence : 6th International Conference, PReMI 2015, Warsaw, Poland, June 30 - July 3, 2015, Proceedings

Sanghamitra Bandyopadhyay, Sankar K. Pal, Marzena Kryszkiewicz, 2015, PReMI 2015.

A Validity Index Based on Connectivity

Sanghamitra Bandyopadhyay, Sriparna Saha, 2009, 2009 Seventh International Conference on Advances in Pattern Recognition.

A New Path Based Hybrid Measure for Gene Ontology Similarity

Sanghamitra Bandyopadhyay, Koushik Mallick, S. Bandyopadhyay, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Fuzzy clustering of physicochemical and biochemical properties of amino Acids

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski, 2011, Amino Acids.

On some symmetry based validity indices

Sanghamitra Bandyopadhyay, Sriparna Saha, 2007, 2007 IEEE Congress on Evolutionary Computation.

Gene Expression Data Analysis Using Multiobjective Clustering Improved with SVM Based Ensemble

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2012, Silico Biol..

Finding Bicliques in Digraphs: Application into Viral-Host Protein Interactome

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Malay Bhattacharyya, 2011, PReMI.

Mining the Largest Quasi-clique in Human Protein Interactome

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, 2009, 2009 International Conference on Adaptive and Intelligent Systems.

A review of in silico approaches for analysis and prediction of HIV-1-human protein-protein interactions

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2015, Briefings Bioinform..

Simulated Annealing Based Pattern Classification

Sanghamitra Bandyopadhyay, C. A. Murthy, Sankar K. Pal, 1998, Inf. Sci..

Exploration of Many-Objective Feature Selection for Recognition of Motor Imagery Tasks

Sanghamitra Bandyopadhyay, Monalisa Pal, 2018 .

An evolutionary technique based on K-Means algorithm for optimal clustering in RN

Ujjwal Maulik, Sanghamitra Bandyopadhyay, S. Bandyopadhyay, 2002, Inf. Sci..

Enhancing Structure Discovery for Data Mining in Graphical Databases Using Evolutionary Programming

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Lawrence B. Holder, 2002, FLAIRS.

Occupancy Estimation using Non Intrusive Sensors in Energy Efficient Buildings

Sanghamitra Bandyopadhyay, Venkataramana Badarla, Manar Amayri, 2015, Building Simulation Conference Proceedings.

Use of a fuzzy granulation-degranulation criterion for assessing cluster validity

Witold Pedrycz, Sanghamitra Bandyopadhyay, Sriparna Saha, 2011, Fuzzy Sets Syst..

GAPS: A clustering method using a new point symmetry-based distance measure

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2007, Pattern Recognit..

Satellite image classification using genetically guided fuzzy clustering with spatial information

Sanghamitra Bandyopadhyay, S. Bandyopadhyay, 2005 .

Combining multiobjective fuzzy clustering and probabilistic ANN classifier for unsupervised pattern classification: Application to satellite image segmentation

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Mining association rules from HIV-human protein interactions

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2010, 2010 International Conference on Systems in Medicine and Biology.

Analysis of Optimizers to Regulate Occupant's Actions for Building Energy Management

Sanghamitra Bandyopadhyay, Stéphane Ploix, Monalisa Pal, 2017, 2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR).

A new Differential Evolution based Fuzzy Clustering for Automatic Cluster Evolution

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Indrajit Saha, 2009, 2009 IEEE International Advance Computing Conference.

A symmetry based multiobjective clustering technique for automatic evolution of clusters

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2010, Pattern Recognit..

Fan-in- and fan-out-factor oriented BIST design for sequential machines

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Satyesh Chandra Roy, 2003 .

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).

Detecting Perturbation in Co-Expression Modules Associated with Different Stages of HIV-1 Progression: A Multi-objective Evolutionary Approach

Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Sumanta Ray, 2014, 2014 Fourth International Conference of Emerging Applications of Information Technology.

An efficient technique for superfamily classification of amino acid sequences: feature extraction, fuzzy clustering and prototype selection

Sanghamitra Bandyopadhyay, S. Bandyopadhyay, 2005, Fuzzy Sets Syst..

Nonintrusive Load Monitoring: A Temporal Multilabel Classification Approach

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Seddik Bacha, 2015, IEEE Transactions on Industrial Informatics.

JUIndoorLoc: A Ubiquitous Framework for Smartphone-Based Indoor Localization Subject to Context and Device Heterogeneity

Sanghamitra Bandyopadhyay, Chandreyee Chowdhury, Priya Roy, 2019, Wirel. Pers. Commun..

Incorporating Distance Domination in Multiobjective Evolutionary Algorithm

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

Advanced Methods for Knowledge Discovery from Complex Data

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Lawrence B. Holder, 2005 .

dropClust2: An R package for resource efficient analysis of large scale single cell RNA-Seq data

Sanghamitra Bandyopadhyay, Debarka Sengupta, Debajyoti Sinha, 2019, bioRxiv.

Genetic Algorithms and Multiobjective Optimization

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2011 .

A Weighted Power Framework for Integrating Multisource Information: Gene Function Prediction in Yeast

Sanghamitra Bandyopadhyay, Sankar K. Pal, Shubhra Sankar Ray, 2012, IEEE Transactions on Biomedical Engineering.

Efficient BIST design for sequential machines using FiF-FoF values in machine states

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Subhadip Basu, 2003, ASP-DAC '03.

GRF: A Greedy Rank Fusion Algorithm for Combining MicroRNA Target Orderings

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Debarka Sengupta, 2013, Molecular informatics.

A Biologically Inspired Measure for Coexpression Analysis

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, S. Bandyopadhyay, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

MRI brain image segmentation by fuzzy symmetry based genetic clustering technique

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2007, 2007 IEEE Congress on Evolutionary Computation.

Pixel classification using variable string genetic algorithms with chromosome differentiation

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

Simulated annealing using a reversible jump Markov chain Monte Carlo algorithm for fuzzy clustering

Sanghamitra Bandyopadhyay, 2005, IEEE Transactions on Knowledge and Data Engineering.

SAFE: An Efficient Feature Extraction Technique

Ujjwal Maulik, Sanghamitra Bandyopadhyay, John C. Trinder, 2001, Knowledge and Information Systems.

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..

Feature selection using feature dissimilarity measure and density-based clustering: Application to biological data

Sanghamitra Bandyopadhyay, Debarka Sengupta, Indranil Aich, 2015, Journal of Biosciences.

Data Mining Fundamentals

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2011 .

Some connectivity based cluster validity indices

Sanghamitra Bandyopadhyay, Sriparna Saha, 2012, Appl. Soft Comput..

Consensus Multiobjective Differential Crisp Clustering for Categorical Data Analysis

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski, 2010, RSCTC.

A Many Objective Optimization Approach for Transfer Learning in EEG Classification pdf

Sanghamitra Bandyopadhyay, Saugat Bhattacharyya, Monalisa Pal, 2019, ArXiv.

Reformulated Kemeny Optimal Aggregation with Application in Consensus Ranking of microRNA Targets

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Debarka Sengupta, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Simultaneous informative gene selection and clustering through multiobjective optimization

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2010, IEEE Congress on Evolutionary Computation.

Unsupervised cancer classification through SVM-boosted multiobjective fuzzy clustering with majority voting ensemble

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2009, 2009 IEEE Congress on Evolutionary Computation.

Differential evolution for multi-modal multi-objective problems

Sanghamitra Bandyopadhyay, Monalisa Pal, 2019, GECCO.

A fuzzy citation-kNN algorithm for multiple instance learning

Sanghamitra Bandyopadhyay, Dip Ghosh, S. Bandyopadhyay, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Symmetry-Based Automatic Clustering

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2013 .

Genetic Learning in Bioinformatics

Sanghamitra Bandyopadhyay, Sankar K. Pal, 2007 .

Genetic algorithms for clustering and fuzzy clustering

Sanghamitra Bandyopadhyay, 2011, Wiley Interdiscip. Rev. Data Min. Knowl. Discov..

Multi-Objective Optimization Approaches in Biological Learning System on Microarray Data

Sanghamitra Bandyopadhyay, Saurav Mallik, Jianjiao Chen, 2018, Multi-Objective Optimization.

Finding quasi core with simulated stacked neural networks

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, S. Bandyopadhyay, 2015, Inf. Sci..

Fault tolerant permutation mapping in multistage interconnection network

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Siddhartha Bhattacharyya, 2000, J. Syst. Archit..

PuTmiR: A database for extracting neighboring transcription factors of human microRNAs

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, S. Bandyopadhyay, 2010, BMC Bioinformatics.

Solving maximum fuzzy clique problem with neural networks and its applications

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, 2009, Memetic Comput..

Clustering of web sessions by FOGSAA

Sanghamitra Bandyopadhyay, Angana Chakraborty, S. Bandyopadhyay, 2013, 2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS).

Simultaneous feature selection and symmetry based clustering using multiobjective framework

Sanghamitra Bandyopadhyay, Asif Ekbal, Sriparna Saha, 2015, Appl. Soft Comput..

Structure-Aware Principal Component Analysis for Single-Cell RNA-seq Data

Sanghamitra Bandyopadhyay, Debarka Sengupta, Snehalika Lall, 2018, J. Comput. Biol..

Colored Network Motif Analysis by Dynamic Programming Approach: An Application in Host Pathogen Interaction Network

Sanghamitra Bandyopadhyay, Sumanta Ray, Sourav Biswas, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A new multiobjective simulated annealing based clustering technique using symmetry

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2009, Pattern Recognit. Lett..

Discovering Condition Specific Topological Pattern Changes in Coexpression Network: An Application to HIV-1 Progression

Sanghamitra Bandyopadhyay, Sumanta Ray, S. Bandyopadhyay, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Genetic Algorithms in Clustering

Sanghamitra Bandyopadhyay, Sankar K. Pal, 2007 .

miRT: A Database of Validated Transcription Start Sites of Human MicroRNAs

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, Manali Das, 2012, Genom. Proteom. Bioinform..

GENETIC ALGORITHMS, PATTERN CLASSIFICATION AND NEURAL NETWORKS DESIGN

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

Multiobjective fuzzy biclustering in microarray data: Method and a new performance measure

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Real-coded differential crisp clustering for MRI brain image segmentation

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski, 2010, IEEE Congress on Evolutionary Computation.

An Interactive Approach to Multiobjective Clustering of Gene Expression Patterns

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2013, IEEE Transactions on Biomedical Engineering.

Theoretical Analysis of the GA-classifier

Sanghamitra Bandyopadhyay, Sankar K. Pal, 2007 .

Use of line based symmetry for developing cluster validity indices

Sanghamitra Bandyopadhyay, Sudipta Acharya, Sriparna Saha, 2016, Soft Comput..

Ultrafast Genomic Database Search using Layered Locality Sensitive Hashing

Sanghamitra Bandyopadhyay, Angana Chakraborty, S. Bandyopadhyay, 2018, 2018 Fifth International Conference on Emerging Applications of Information Technology (EAIT).

Combining Pareto-Optimal Clusters Using Supervised Learning

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2011 .

Weighted Markov Chain Based Aggregation of Biomolecule Orderings

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Debarka Sengupta, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An Algorithm for Many-Objective Optimization With Reduced Objective Computations: A Study in Differential Evolution

Sanghamitra Bandyopadhyay, Arpan Mukherjee, S. Bandyopadhyay, 2015, IEEE Transactions on Evolutionary Computation.

Active Site Driven Ligand Design: an Evolutionary Approach

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Angshuman Bagchi, 2005, J. Bioinform. Comput. Biol..

Multiobjective Genetic Clustering for Pixel Classification in Remote Sensing Imagery

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2007, IEEE Transactions on Geoscience and Remote Sensing.

Incorporating ϵ-dominance in AMOSA: Application to multiobjective 0/1 knapsack problem and clustering gene expression data

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Rudrasis Chakraborty, 2013, Appl. Soft Comput..

Some Symmetry Based Classifiers

Sanghamitra Bandyopadhyay, Sriparna Saha, 2009, Fundam. Informaticae.

Fuzzy partitioning using a real-coded variable-length genetic algorithm for pixel classification

Ujjwal Maulik, Sanghamitra Bandyopadhyay, S. Bandyopadhyay, 2003, IEEE Trans. Geosci. Remote. Sens..

De Novo Design of Potential RecA Inhibitors Using MultiObjective Optimization

Sanghamitra Bandyopadhyay, Soumi Sengupta, Soumi Sengupta, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

SVMeFC: SVM Ensemble Fuzzy Clustering for Satellite Image Segmentation

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski, 2012, IEEE Geoscience and Remote Sensing Letters.

Automatic Determination of the Number of Fuzzy Clusters Using Simulated Annealing with Variable Representation

Sanghamitra Bandyopadhyay, 2005, ISMIS.

Coexpression and coregulation analysis of time-series gene expression data in estrogen-induced breast cancer cell

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2013, Algorithms for Molecular Biology.

A NMF based approach for integrating multiple data sources to predict HIV-1–human PPIs

Sanghamitra Bandyopadhyay, Sumanta Ray, S. Bandyopadhyay, 2016, BMC Bioinformatics.

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).

Analysis of microarray data using multiobjective variable string length genetic fuzzy clustering

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2009, 2009 IEEE Congress on Evolutionary Computation.

ParSel: Parallel Selection of Micro‐RNAs for Survival Classification in Cancers

Sanghamitra Bandyopadhyay, Debarka Sengupta, Debajyoti Sinha, 2017, Molecular informatics.

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

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

Consensus of Subjective Preferences of Multiple Occupants for Building Energy Management

Sanghamitra Bandyopadhyay, Monalisa Pal, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Genetic algorithms for generation of class boundaries

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

A New Approach for Combining Knowledge From Multiple Coexpression Networks of MicroRNAs

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, Manali Das, 2013, IEEE Transactions on Biomedical Engineering.

IVGA3D: De novo ligand design using a variable sized tree representation.

Sanghamitra Bandyopadhyay, Soumi Sengupta, 2010, Protein and peptide letters.

Performance Evaluation of Some Clustering Algorithms and Validity Indices

Ujjwal Maulik, Sanghamitra Bandyopadhyay, S. Bandyopadhyay, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

DECOR: Differential Evolution using Clustering based Objective Reduction for many-objective optimization

Sanghamitra Bandyopadhyay, Monalisa Pal, Sriparna Saha, 2018, Inf. Sci..

Application of Support Vector Machines in Virtual Screening

Sanghamitra Bandyopadhyay, Soumi Sengupta, Soumi Sengupta, 2012 .

Integrated analysis of gene expression and genome-wide DNA methylation for tumor prediction: An association rule mining-based approach

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2013, 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Multiobjective Genetic Algorithm-Based Fuzzy Clustering

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2011 .

Pattern classification using genetic algorithms: Determination of H

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

Pattern Recognition and Machine Intelligence, First International Conference, PReMI 2005, Kolkata, India, December 20-22, 2005, Proceedings

Sanghamitra Bandyopadhyay, Sankar K. Pal, Sambhunath Biswas, 2005, PReMI.

Discovery of MicroRNA markers: An SVM-based multiobjective feature selection approach

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2011, 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Point Symmetry-Based Distance Measures and Their Applications to Clustering

Sanghamitra Bandyopadhyay, Sriparna Saha, 2013 .

VGA-Classifier: design and applications

Sanghamitra Bandyopadhyay, C. A. Murthy, Sankar K. Pal, 2000, IEEE Trans. Syst. Man Cybern. Part B.

Genetic Algorithm-Based Pattern Classification: Relationship with Bayes Classifier

Sanghamitra Bandyopadhyay, C. A. Murthy, Sankar K. Pal, 2017 .

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).

Genetic algorithm-based clustering technique

Ujjwal Maulik, Sanghamitra Bandyopadhyay, S. Bandyopadhyay, 2000, Pattern Recognit..

conLSH: Context based Locality Sensitive Hashing for Mapping of noisy SMRT Reads

Sanghamitra Bandyopadhyay, Angana Chakraborty, S. Bandyopadhyay, 2019, bioRxiv.

Clustering using Multi-objective Genetic Algorithm and its Application to Image Segmentation

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

ESOEA: Ensemble of single objective evolutionary algorithms for many-objective optimization

Sanghamitra Bandyopadhyay, Monalisa Pal, 2019, Swarm Evol. Comput..

A Novel Coherence Measure for Discovering Scaling Biclusters from Gene Expression Data

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2009, J. Bioinform. Comput. Biol..

Multiobjective Genetic Algorithms for Clustering - Applications in Data Mining and Bioinformatics

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2011 .

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

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

Multiobjective Genetic Fuzzy Clustering of Categorical Attributes

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2007 .

WeCoMXP: Weighted Connectivity Measure Integrating Co-Methylation, Co-Expression and Protein-Protein Interactions for Gene-Module Detection

Sanghamitra Bandyopadhyay, Saurav Mallik, Saurav Mallik, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A Neuro-GA Approach for the Maximum Fuzzy Clique Problem

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, 2008, ICONIP.

A Scoring Scheme for Online Feature Selection: Simulating Model Performance Without Retraining

Sanghamitra Bandyopadhyay, Debarka Sengupta, Debajyoti Sinha, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Finding Bicliques in Digraphs: Application into Viral-host Protein Interactome

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Malay Bhattacharyya, 2012 .

Efficient Two-stage Fuzzy Clustering of Microarray Gene Expression Data

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2006, 9th International Conference on Information Technology (ICIT'06).

Improvement of new automatic differential fuzzy clustering using SVM classifier for microarray analysis

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski, 2011, Expert Syst. Appl..

Clustering Categorical Data in a Multiobjective Framework

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2011 .

Genetic clustering for automatic evolution of clusters and application to image classification

Ujjwal Maulik, Sanghamitra Bandyopadhyay, S. Bandyopadhyay, 2002, Pattern Recognit..

Neurocomputing for Certain Bioinformatics Tasks

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

Application of a New Symmetry-Based Cluster Validity Index for Satellite Image Segmentation

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2008, IEEE Geoscience and Remote Sensing Letters.

Computational Intelligence and Pattern Analysis in Biology Informatics

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Jason T. L. Wang, 2010 .

InBit: An Integrated Bioinformatics Toolkit for Biologists

Sanghamitra Bandyopadhyay, Ranojit Sarker, Ujjal Maulik, 2011 .

Efficient Object Extraction Using Fuzzy Cardinality Based Thresholding, Hopfield Network

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Supratim Bhattacharya, 2002, ICVGIP.

Differential Evolution Based Optimization of SVM Parameters for Meta Classifier Design

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Tapas Bhadra, 2012 .

A Layered Locality Sensitive Hashing based Sequence Similarity Search Algorithm for Web Sessions

Sanghamitra Bandyopadhyay, Angana Chakraborty, S. Bandyopadhyay, 2014 .

Efficient prototype reordering in nearest neighbor classification

Ujjwal Maulik, Sanghamitra Bandyopadhyay, 2002, Pattern Recognit..

Integration of Co-expression Networks for Gene Clustering

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, S. Bandyopadhyay, 2009, 2009 Seventh International Conference on Advances in Pattern Recognition.

Analyzing miRNA co-expression networks to explore TF-miRNA regulation

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, S. Bandyopadhyay, 2009, BMC Bioinformatics.

Multiobjective Genetic Fuzzy Clustering of Categorical Attributes

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2007, 10th International Conference on Information Technology (ICIT 2007).

A Clustering Approach to Image Retrieval Using Range Based Query and Mahalanobis Distance

Sanghamitra Bandyopadhyay, Sankar K. Pal, Minakshi Banerjee, 2013, Rough Sets and Intelligent Systems.

Variable Weighted Maximal Relevance Minimal Redundancy Criterion for Feature Selection Using Normalized Mutual Information

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Tapas Bhadra, 2015, J. Multiple Valued Log. Soft Comput..

A multiobjective approach for identifying protein complexes and studying their association in multiple disorders

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2015, Algorithms for Molecular Biology.

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 .

Automatic MR brain image segmentation using a multiseed based multiobjective clustering approach

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2011, Applied Intelligence.

Medical Imaging and Diagnosis Using Genetic Algorithms

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Sajal K. Das, 2005, Handbook of Bioinspired Algorithms and Applications.

In Silico Drug Design Using a Computational Intelligence Technique

Sanghamitra Bandyopadhyay, Soumi Sengupta, Soumi Sengupta, 2010 .

Estimating Completeness in Streaming Graphs

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, Supratim Bhattacharya, 2014, EDBT/ICDT Workshops.

Pseudorandom Pattern Generation by a 4-Neighborhood Cellular Automata Based on a Probabilistic Analysis

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Abhishek Seth, 2007 .

Protein Secondary Structure Prediction Using Machine Learning

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Sidharth Sharma, 2012, ISI.

A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Kalyanmoy Deb, 2008, IEEE Transactions on Evolutionary Computation.

Event extraction from cancer genetics literature

Sanghamitra Bandyopadhyay, Utpal Garain, Debajyoti Sinha, 2015, 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR).

Some Single- and Multiobjective Optimization Techniques

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2013 .

An Improved Evolutionary Algorithm as Function Optimizer

Ujjwal Maulik, Sanghamitra Bandyopadhyay, 2000 .

Contour Extraction using Genetic Algorithms

Sanghamitra Bandyopadhyay, S. Bandyopadhyay, 2002 .

Incorporating fuzzy semantic similarity measure in detecting human protein complexes in PPI network: A multiobjective approach

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

dropClust: Efficient clustering of ultra-large scRNA-seq data

Sanghamitra Bandyopadhyay, Himanshu Kumar, Akhilesh Kumar, 2017 .

Application of a Multiseed-Based Clustering Technique for Automatic Satellite Image Segmentation

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2010, IEEE Geoscience and Remote Sensing Letters.

Prioritization of Clusters for Post-genomic Analysis☆

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, S. Bandyopadhyay, 2013 .

A Validity Index Based on Symmetry: Application to Satellite Image Segmentation

Sanghamitra Bandyopadhyay, Sriparna Saha, 2013 .

A New Symmetry Based Cluster Validity Index: Application to Satellite Image Segmentation

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Sriparna Saha, 2006, 9th International Conference on Information Technology (ICIT'06).

An annealing-evolution technique for clustering

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Malay K. Pakhira, 2004 .

Multi-size patch based collaborative representation for Palm Dorsa Vein Pattern recognition by enhanced ensemble learning with modified interactive artificial bee colony algorithm

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Amitava Chatterjee, 2017, Eng. Appl. Artif. Intell..

Feature Extraction in Transformed Domain for Protein Superfamily Identification from Amino Acid Sequences

Sanghamitra Bandyopadhyay, 2003, IICAI.

A validity index based on cluster symmetry

Sanghamitra Bandyopadhyay, Sriparna Saha, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

SFSSClass: an integrated approach for miRNA based tumor classification

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Michael Q. Zhang, 2010, BMC Bioinformatics.

Cancer Classification using SVM-boosted Multiobjective Differential Fuzzy Clustering

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski, 2010, STAIRS.

Score Based Aggregation of microRNA Target Orderings

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Debarka Sengupta, 2012, ISBRA.

Soft Computing and its Applications

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Siddhartha Bhattacharyya, 2011 .

Multiobjective Simulated Annealing for Fuzzy Clustering With Stability and Validity

Sanghamitra Bandyopadhyay, S. Bandyopadhyay, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2014, IEEE Transactions on Evolutionary Computation.

Two-Stage Fuzzy Clustering

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2011 .

Mining the Largest Dense Vertexlet in a Weighted Scale-free Graph

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, S. Bandyopadhyay, 2009, Fundam. Informaticae.

Bounds on Quasi-Completeness

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, 2012, IWOCA.

Clustering Using Annealing Evolution: Application to Pixel Classification of Satellite Images

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Malay Kumar Pakhira, 2002, ICVGIP.

Further Experimentations on the Scalability of the GEMGA

Sanghamitra Bandyopadhyay, Hillol Kargupta, S. Bandyopadhyay, 1998, PPSN.

GA-based pattern classification: theoretical and experimental studies

Sanghamitra Bandyopadhyay, C. A. Murthy, Sankar K. Pal, 1996, Proceedings of 13th International Conference on Pattern Recognition.

FOCS: Fast Overlapped Community Search

Sanghamitra Bandyopadhyay, Debarka Sengupta, Garisha Chowdhary, 2015, IEEE Transactions on Knowledge and Data Engineering.

MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2010, CIBB.

Performance Assessment of Some Clustering Algorithms Based on a Fuzzy Granulation-Degranulation Criterion

Sanghamitra Bandyopadhyay, Sriparna Saha, 2007, 10th International Conference on Information Technology (ICIT 2007).

Unsupervised and Supervised Learning Approaches Together for Microarray Analysis

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski, 2011, Fundam. Informaticae.

Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2012 .

Classification and learning using genetic algorithms - applications in bioinformatics and web intelligence

Sanghamitra Bandyopadhyay, Sankar K. Pal, 2007, Natural computing series.

New operators of genetic algorithms for traveling salesman problem

Sanghamitra Bandyopadhyay, Sankar K. Pal, Shubhra Sankar Ray, 2004, ICPR 2004.

A New Measure of Stability of Clustering Solutions: Application to Data Partitioning

Sanghamitra Bandyopadhyay, Sriparna Saha, 2009, 2009 International Conference on Adaptive and Intelligent Systems.

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.

Mining the Largest Quasi-clique in Human Protein Interactome

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, 2012 .

Prediction of transcription start sites based on feature selection using AMOSA.

Sanghamitra Bandyopadhyay, Michael Q. Zhang, Xuegong Zhang, 2007, Computational systems bioinformatics. Computational Systems Bioinformatics Conference.

Genetic operators for combinatorial optimization in TSP and microarray gene ordering

Sanghamitra Bandyopadhyay, Sankar K. Pal, Shubhra Sankar Ray, 2007, Applied Intelligence.

A Fuzzy Genetic Clustering Technique Using a New Symmetry Based Distance for Automatic Evolution of Clusters

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2007, 2007 International Conference on Computing: Theory and Applications (ICCTA'07).

On principle axis based line symmetry clustering techniques

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2011, Memetic Comput..

Multi-objective Variable String Genetic Classifier: Application to Remote Sensing Imagery

Sanghamitra Bandyopadhyay, Sankar K. Pal, Abhay K Srivastava, 2002 .

Variable String Lengths in GA-classifier

Sanghamitra Bandyopadhyay, Sankar K. Pal, 2007 .

Knowledge Discovery and Data Mining

Ujjwal Maulik, Sanghamitra Bandyopadhyay, S. Bandyopadhyay, 2005 .

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

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

Priority based ∈ dominance: A new measure in multiobjective optimization

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Rudrasis Chakraborty, 2015, Inf. Sci..

In Silico Design of Ligands Using Properties of Target Active Sites

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Heinz Mühlenbein, 2007, Analysis of Biological Data: A Soft Computing Approach.

A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2014, IEEE Transactions on Evolutionary Computation.

A Survey and Comparative Study of Statistical Tests for Identifying Differential Expression from Microarray Data

Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Saurav Mallik, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Many-objective feature selection for motor imagery EEG signals using differential evolution and support vector machine

Sanghamitra Bandyopadhyay, Monalisa Pal, 2016, 2016 International Conference on Microelectronics, Computing and Communications (MicroCom).

A strong Nash stability based approach to minimum quasi clique partitioning

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Srinka Basu, 2014, 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS).

Genetic algorithms for clustering and fuzzy clustering

Sanghamitra Bandyopadhyay, 2012, Wiley Interdiscip. Rev. Data Min. Knowl. Discov..

SEMI-AUTOMATED FEATURE EXTRACTION USING SIMULATED ANNEALING

Ujjwal Maulik, Sanghamitra Bandyopadhyay, John Trinder, 2000 .

Genetic Algorithms and Web Intelligence

Sanghamitra Bandyopadhyay, Sankar K. Pal, 2007 .

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).

Genetic algorithm-based state assignment scheme for synthesis of testable FSMs targeting area and delay

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Samir Roy, 2002 .

New Genetic Operators for Solving TSP: Application to Microarray Gene Ordering

Sanghamitra Bandyopadhyay, Sankar K. Pal, Shubhra Sankar Ray, 2005, PReMI.

A new multiobjective simulated annealing based clustering technique using stability and symmetry

Sanghamitra Bandyopadhyay, Sriparna Saha, 2008, 2008 19th International Conference on Pattern Recognition.

Identification of Multiview Gene Modules Using Mutual Information-Based Hypograph Mining

Sanghamitra Bandyopadhyay, Saurav Mallik, Tapas Bhadra, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

An automatic shape independent clustering technique

Sanghamitra Bandyopadhyay, S. Bandyopadhyay, 2004, Pattern Recognit..

Guest Editorial: Special Issue on Advances in Multiobjective Evolutionary Algorithms for Data Mining

Witold Pedrycz, Ujjwal Maulik, Sanghamitra Bandyopadhyay, 2014, IEEE Trans. Evol. Comput..

Mining Quasi-Bicliques from HIV-1-Human Protein Interaction Network: A Multiobjective Biclustering Approach

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Estimating Occupancy in an Office Setting

Sanghamitra Bandyopadhyay, Stéphane Ploix, Manar Amayri, 2015 .

An Improved Multi-objective Technique for Fuzzy Clustering with Application to IRS Image Segmentation

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Indrajit Saha, 2009, EvoWorkshops.

A new line symmetry distance based pattern classifier

Sanghamitra Bandyopadhyay, Sriparna Saha, Chingtham Tejbanta Singh, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Finding Multiple Coherent Biclusters in Microarray Data Using Variable String Length Multiobjective Genetic Algorithm

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2009, IEEE Transactions on Information Technology in Biomedicine.

Hybrid evolutionary multiobjective fuzzy c-medoids clustering of categorical data

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2013, 2013 IEEE Workshop on Hybrid Intelligent Models and Applications (HIMA).

An Approach for the Ordering of Evaluation of Objectives in Multiobjective Optimization

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Preeti Gupta, 2012, BIC-TA.

Fuzzy Symmetry Based Real-Coded Genetic Clustering Technique for Automatic Pixel Classification in Remote Sensing Imagery

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2008, Fundam. Informaticae.

Multiobjective VGA-classifier and Quantitative Indices

Sanghamitra Bandyopadhyay, Sankar K. Pal, 2007 .

δ-TRIMAX: Extracting Triclusters and Analysing Coregulation in Time Series Gene Expression Data

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2012, WABI.

Multiobjective Evolutionary Approach to Fuzzy Clustering of Microarray Data

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2007, Analysis of Biological Data: A Soft Computing Approach.

Multiobjective Genetic Clustering with Ensemble Among Pareto Front Solutions: Application to MRI Brain Image Segmentation

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2009, 2009 Seventh International Conference on Advances in Pattern Recognition.

Pattern classification with genetic algorithms

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

MR Brain Image Segmentation Using A Multi-seed Based Automatic Clustering Technique

Sanghamitra Bandyopadhyay, Sriparna Saha, 2009, Fundam. Informaticae.

Minimization of SADMs in Unidirectional SONET/WDM Rings Using Genetic Algorithms

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2005, Handbook of Bioinspired Algorithms and Applications.

A multiobjective simulated annealing based fuzzy-clustering technique with symmetry for pixel classification in remote sensing imagery

Sanghamitra Bandyopadhyay, Sriparna Saha, 2008, 2008 19th International Conference on Pattern Recognition.

Unsupervised feature selection using an improved version of Differential Evolution

Sanghamitra Bandyopadhyay, Tapas Bhadra, Tapas Bhadra, 2015, Expert Syst. Appl..

Adaptive mufti-objective particle swarm optimization algorithm

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

A new point symmetry based fuzzy genetic clustering technique for automatic evolution of clusters

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2009, Inf. Sci..

Computational Intelligence and Pattern Analysis in Biological Informatics: Maulik/Computational Intelligence

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Jason T. L. Wang, 2010 .

Supervised Classification Using Genetic Algorithms

Sanghamitra Bandyopadhyay, Sankar K. Pal, 2007 .

Multiobjective Genetic Algorithm-Based Fuzzy Clustering of Categorical Attributes

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2009, IEEE Transactions on Evolutionary Computation.

Improvement of Differential Crisp Clustering using ANN Classifier for Unsupervised Pixel Classification of Satellite Image

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski, 2010, ICEIS.

Integration of Co-expression Networks for Gene Clustering

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, 2012 .

A new multiobjective clustering technique based on the concepts of stability and symmetry

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2010, Knowledge and Information Systems.

Ties that matter

Sanghamitra Bandyopadhyay, Garisha Chowdhary, 2015, 2015 IEEE International Conference on Big Data (Big Data).

A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2012, MLDM.

Evolutionary Approach to Solve the Complex-Triangle Elimination (CTE) Problem of VLSI Floor-planning

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Samir Roy, 2003, Indian International Conference on Artificial Intelligence.

A New Line Symmetry Distance and Its Application to Data Clustering

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2009, Journal of Computer Science and Technology.

Use of Multiobjective Optimization for Data Clustering

Sanghamitra Bandyopadhyay, Sriparna Saha, 2013 .

GOGA: GO-driven Genetic Algorithm-based fuzzy clustering of gene expression data

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2010, 2010 International Conference on Systems in Medicine and Biology.

Improvement of MicroRNA Target Prediction Using An Enhanced Feature Set: A Machine Learning Approach

Sanghamitra Bandyopadhyay, Ramkrishna Mitra, S. Bandyopadhyay, 2009, 2009 IEEE International Advance Computing Conference.

A New Symmetry Based Genetic Clustering Technique for Automatic Evolution of Clusters

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2006 .

SVM ensemble crisp clustering for IRS image segmentation

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski, 2010 .

Performance Assessment of Some Clustering Algorithms Based on a Fuzzy Granulation-Degranulation Criterion

Sanghamitra Bandyopadhyay, Sriparna Saha, 2007 .

Advances in Signal Processing and Intelligent Recognition Systems - Proceedings of Second International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2015) December 16-19, 2015, Trivandrum, India

Sanghamitra Bandyopadhyay, Sabu M. Thampi, Kuan-Ching Li, 2016, SIRS.

Refining Genetic Algorithm Based Fuzzy Clustering through Supervised Learning for Unsupervised Cancer Classification

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2009, EvoBIO.

Integrating Clustering and Supervised Learning for Categorical Data Analysis

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Indrajit Saha, 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Clustering distributed data streams in peer-to-peer environments

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Kun Liu, 2006, Inf. Sci..

Unsupervised Classification

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2013, Springer Berlin Heidelberg.

A New Principal Axis Based Line Symmetry Measurement and Its Application to Clustering

Sanghamitra Bandyopadhyay, Sriparna Saha, 2008, ICONIP.

A study of some fuzzy cluster validity indices, genetic clustering and application to pixel classification

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Malay Kumar Pakhira, 2005, Fuzzy Sets Syst..

A Survey of Multiobjective Evolutionary Clustering

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2015, ACM Comput. Surv..

sc-REnF: An entropy guided robust feature selection for single-cell RNA-seq data

Sanghamitra Bandyopadhyay, Abhik Ghosh, Snehalika Lall, 2021, Briefings Bioinform..

IV-GNN : interval valued data handling using graph neural network pdf

Sanghamitra Bandyopadhyay, Sucheta Dawn, S. Bandyopadhyay, 2021, Applied Intelligence.

S-conLSH: alignment-free gapped mapping of noisy long reads

Sanghamitra Bandyopadhyay, Burkhard Morgenstern, Angana Chakraborty, 2021, BMC Bioinform..

Supervised feature selection using integration of densest subgraph finding with floating forward-backward search

Sanghamitra Bandyopadhyay, Tapas Bhadra, Tapas Bhadra, 2021, Inf. Sci..

A Symmetry Based Face Detection Technique

Sanghamitra Bandyopadhyay, Sriparna Saha, 2007 .

A Novel Biclustering Approach to Association Rule Mining for Predicting HIV-1–Human Protein Interactions

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2012, PloS one.

FOGSAA: Fast Optimal Global Sequence Alignment Algorithm

Sanghamitra Bandyopadhyay, Angana Chakraborty, S. Bandyopadhyay, 2013, Scientific Reports.

Evolving fragments to lead molecules

Sanghamitra Bandyopadhyay, Soumi Sengupta, 2010 .

Identifying the immunodeficiency gateway proteins in humans and their involvement in microRNA regulation.

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2011, Molecular bioSystems.

A new path based hybrid measure for gene ontology similarity

Sanghamitra Bandyopadhyay, Koushik Mallick, 2014, TCBB.

Pattern classification with genetic algorithms: Incorporation of chromosome differentiation

Sanghamitra Bandyopadhyay, Sankar K. Pal, S. Pal, 1997, Pattern Recognit. Lett..

A Survey and Comparative Study of Statistical Tests for Identifying Differential Expression from Microarray Data.

Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Saurav Mallik, 2013, IEEE/ACM transactions on computational biology and bioinformatics.

Differential explanations for energy management in buildings

Sanghamitra Bandyopadhyay, Monalisa Pal, Patrick Reignier, 2017, 2017 Computing Conference.

Analyzing Large Gene Expression and Methylation Data Profiles Using StatBicRM: Statistical Biclustering-Based Rule Mining

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2015, PloS one.

Goodness-of-Fit: An Economic Approach

Sanghamitra Bandyopadhyay, Emmanuel Flachaire, S. Bandyopadhyay, 2009 .

Multi-Class Clustering of Cancer Subtypes through SVM Based Ensemble of Pareto-Optimal Solutions for Gene Marker Identification

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2010, PloS one.

On Biclustering of Gene Expression Data

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2010 .

Studying the differential co-expression of microRNAs reveals significant role of white matter in early Alzheimer's progression.

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, S. Bandyopadhyay, 2013, Molecular bioSystems.

MultiMiTar: A Novel Multi Objective Optimization based miRNA-Target Prediction Method

Sanghamitra Bandyopadhyay, Ramkrishna Mitra, S. Bandyopadhyay, 2011, PloS one.

Development of the human cancer microRNA network

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Michael Q. Zhang, 2010 .

Mining the Largest Dense N-vertexlet in a Fuzzy Scale-free Graph

Sanghamitra Bandyopadhyay, S. Bandyopadhyay, 2008 .

The HIV Nef protein modulates cellular and exosomal miRNA profiles in human monocytic cells

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Saurav Mallik, 2014, Journal of extracellular vesicles.

Participation of microRNAs in human interactome: extraction of microRNA-microRNA regulations.

Sanghamitra Bandyopadhyay, Debarka Sengupta, S. Bandyopadhyay, 2011, Molecular bioSystems.

Genetic classifiers for remotely sensed images : comparison with standard methods

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

Entropy steered Kendall's tau measure for a fair Rank Aggregation

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Debarka Sengupta, 2011, 2011 2nd National Conference on Emerging Trends and Applications in Computer Science.

Integration of dense subgraph finding with feature clustering for unsupervised feature selection

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Pabitra Mitra, 2014, Pattern Recognit. Lett..

Analyzing Topological Properties of Protein–Protein Interaction Networks: A Perspective toward Systems Biology

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, S. Bandyopadhyay, 2010 .

Transcriptomic Analysis of mRNAs in Human Monocytic Cells Expressing the HIV-1 Nef Protein and Their Exosomes

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Saurav Mallik, 2015, BioMed research international.

A novel measure for evaluating an ordered list: application in microRNA target prediction

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Debarka Sengupta, 2010 .

MicroRNA Transcription Start Site Prediction with Multi-objective Feature Selection

Sanghamitra Bandyopadhyay, Thomas Lengauer, Malay Bhattacharyya, 2012, Statistical applications in genetics and molecular biology.

Use of different forms of symmetry and multi-objective optimization for automatic pixel classification in remote-sensing satellite imagery

Sanghamitra Bandyopadhyay, Sriparna Saha, S. Bandyopadhyay, 2010 .

Gene ordering in partitive clustering using microarray expressions

Sanghamitra Bandyopadhyay, Sankar K. Pal, Shubhra Sankar Ray, 2007, Journal of Biosciences.

Detecting TF-miRNA-gene network based modules for 5hmC and 5mC brain samples: a intra- and inter-species case-study between human and rhesus

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Sagnik Sen, 2018, BMC Genetics.

Functional expression of beta-chemokine receptors in osteoblasts: role of regulated upon activation, normal T cell expressed and secreted (RANTES) in osteoblasts and regulation of its secretion by osteoblasts and osteoclasts.

Sanghamitra Bandyopadhyay, S. Bandyopadhyay, E. Brown, 2005, Endocrinology.

dropClust: efficient clustering of ultra-large scRNA-seq data

Sanghamitra Bandyopadhyay, Debarka Sengupta, Debajyoti Sinha, 2017, bioRxiv.

Reliability of convergence metric and hypervolume indicator for many-objective optimization

Sanghamitra Bandyopadhyay, Monalisa Pal, 2016, 2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC).

A New Feature Vector Based on Gene Ontology Terms for Protein-Protein Interaction Prediction

Sanghamitra Bandyopadhyay, Koushik Mallick, S. Bandyopadhyay, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Theoretical performance of genetic pattern classifier

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

Clustering multivariate time series by genetic multiobjective optimization

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Roberto Baragona, 2010 .

Tracing Back the Temporal Change of SARS-CoV-2 with Genomic Signatures

Sanghamitra Bandyopadhyay, Malay Bhattacharyya, S. Bandyopadhyay, 2020, bioRxiv.

MicroRNA signatures highlight new breast cancer subtypes.

Sanghamitra Bandyopadhyay, Joyshree Nath, Malay Bhattacharyya, 2015, Gene.

Probabilistic Analysis of Cellular Automata Rules and its Application in Pseudo Random Pattern Generation

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Abhishek Seth, 2008 .