Anirban Mukhopadhyay
Anirban Mukhopadhyay
Professor of Department of Computer Science and Engineering, University of Kalyani, India
Zweryfikowany adres z klyuniv.ac.in - Strona główna
Cytowane przez
Cytowane przez
A Survey of Multi-Objective Evolutionary Algorithms for Data Mining: Part-I
A Mukhopadhyay, U Maulik, S Bandyopadhyay, CA Coello Coello
IEEE Transactions on Evolutionary Computation 18 (1), 4-19, 2014
Multiobjective genetic clustering for pixel classification in remote sensing imagery
S Bandyopadhyay, U Maulik, A Mukhopadhyay
Geoscience and Remote Sensing, IEEE Transactions on 45 (5), 1506-1511, 2007
Survey of Multi-Objective Evolutionary Algorithms for Data Mining: Part-II
A Mukhopadhyay, U Maulik, S Bandyopadhyay, CA Coello Coello
IEEE Transactions on Evolutionary Computation 18 (1), 20-35, 2014
An improved algorithm for clustering gene expression data
S Bandyopadhyay, A Mukhopadhyay, U Maulik
Bioinformatics 23 (21), 2859-2865, 2007
Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics
U Maulik, S Bandyopadhyay, A Mukhopadhyay
Springer Science & Business Media, 2011
A survey of multiobjective evolutionary clustering
A Mukhopadhyay, U Maulik, S Bandyopadhyay
ACM Computing Surveys (CSUR) 47 (4), 1-46, 2015
Multiobjective genetic algorithm-based fuzzy clustering of categorical attributes
A Mukhopadhyay, U Maulik, S Bandyopadhyay
IEEE Transactions on Evolutionary Computation 13 (5), 991-1005, 2009
Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes
U Maulik, A Mukhopadhyay, S Bandyopadhyay
BMC bioinformatics 10 (1), 27, 2009
A Survey and Comparative Study of Statistical Tests for Identifying Differential Expression from Microarray Data
S Bandyopadhyay, S Mallik, A Mukhopadhyay
IEEE/ACM Transactions on Computational Biology and Bioinformatics 11 (1), 95-115, 2014
A multiobjective approach to MR brain image segmentation
A Mukhopadhyay, U Maulik
Applied Soft Computing 11 (1), 872-880, 2011
Machine learning techniques for sequence-based prediction of viral–host interactions between SARS-CoV-2 and human proteins
L Dey, S Chakraborty, A Mukhopadhyay
Biomedical journal 43 (5), 438-450, 2020
Unsupervised pixel classification in satellite imagery using multiobjective fuzzy clustering combined with SVM classifier
A Mukhopadhyay, U Maulik
IEEE transactions on geoscience and remote sensing 47 (4), 1132-1138, 2009
Prediction of protein subcellular localization by incorporating multiobjective PSO-based feature subset selection into the general form of Chou’s PseAAC
M Mandal, A Mukhopadhyay, U Maulik
Medical & biological engineering & computing 53, 331-344, 2015
RANWAR: rank-based weighted association rule mining from gene expression and methylation data
S Mallik, A Mukhopadhyay, U Maulik
IEEE transactions on nanobioscience 14 (1), 59-66, 2014
Gene-expression-based cancer subtypes prediction through feature selection and transductive SVM
U Maulik, A Mukhopadhyay, D Chakraborty
IEEE transactions on biomedical engineering 60 (4), 1111-1117, 2012
Information Systems Design and Intelligent Applications: Proceedings of Second International Conference INDIA 2015, Volume 2
JK Mandal, SC Satapathy, MK Sanyal, PP Sarkar, A Mukhopadhyay
Springer, 2015
An Improved Minimum Redundancy Maximum Relevance Approach for Feature Selection in Gene Expression Data
M Mandal, A Mukhopadhyay
Procedia Technology 10, 20-27, 2013
A Novel Biclustering Approach to Association Rule Mining for Predicting HIV-1–Human Protein Interactions
A Mukhopadhyay, U Maulik, S Bandyopadhyay
PLoS ONE 7 (4), e32289, 2012
Towards improving fuzzy clustering using support vector machine: Application to gene expression data
A Mukhopadhyay, U Maulik
Pattern Recognition 42 (11), 2744-2763, 2009
Detecting protein complexes in a PPI network: a gene ontology based multi-objective evolutionary approach
A Mukhopadhyay, S Ray, M De
Molecular BioSystems 8 (11), 3036-3048, 2012
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