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Debasis Chakraborty
Debasis Chakraborty
Professor & Head, CSE-IOT, Asansol Engineering College
Nicio adresă de e-mail confirmată
Titlu
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Citat de
Anul
A neural network clustering algorithm for the ATLAS silicon pixel detector
Atlas Collaboration
Journal of Instrumentation 9 (09), P09009, 2014
282*2014
Remote Sensing Image Classification: A survey of support-vector-machine-based advanced techniques
U Maulik, D Chakraborty
IEEE Geoscience and Remote Sensing Magazine 5 (1), 33-52, 2017
2352017
Recursive memetic algorithm for gene selection in microarray data
M Ghosh, S Begum, R Sarkar, D Chakraborty, U Maulik
Expert Systems with Applications 116, 172-185, 2019
1282019
A self-trained ensemble with semisupervised SVM: An application to pixel classification of remote sensing imagery
U Maulik, D Chakraborty
Pattern Recognition 44 (3), 615-623, 2011
1102011
Fuzzy preference based feature selection and semisupervised SVM for cancer classification
U Maulik, D Chakraborty
IEEE transactions on nanobioscience 13 (2), 152-160, 2014
812014
Search for the Standard Model Higgs boson produced by vector-boson fusion in 8 TeV collisions and decaying to bottom quarks with the ATLAS detector
ATLAS collaboration
arXiv preprint arXiv:1606.02181, 2016
772016
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
752012
Learning with transductive SVM for semisupervised pixel classification of remote sensing imagery
U Maulik, D Chakraborty
ISPRS journal of photogrammetry and remote sensing 77, 66-78, 2013
632013
Data classification using feature selection and kNN machine learning approach
S Begum, D Chakraborty, R Sarkar
2015 International Conference on Computational Intelligence and …, 2015
612015
Identifying cancer biomarkers from microarray data using feature selection and semisupervised learning
D Chakraborty, U Maulik
IEEE journal of translational engineering in health and medicine 2, 1-11, 2014
532014
Microeconomics: machine learning model with behavioural intelligence to reduce credit card fraud
D Chakraborty, A Paul, G Kaur
International Journal of Electronic Banking 3 (4), 358-378, 2022
292022
Open banking: a revolution in the Tech-Fin industry
J Gogia, D Chakraborty
International Journal of Electronic Banking 3 (2), 100-120, 2022
252022
Cancer classification from gene expression based microarray data using SVM ensemble
S Begum, D Chakraborty, R Sarkar
2015 International conference on condition assessment techniques in …, 2015
222015
A novel semisupervised SVM for pixel classification of remote sensing imagery
U Maulik, D Chakraborty
International Journal of Machine Learning and Cybernetics 3, 247-258, 2012
222012
Application of active learning in DNA microarray data for cancerous gene identification
S Begum, R Sarkar, D Chakraborty, S Sen, U Maulik
Expert Systems with Applications 177, 114914, 2021
212021
A robust multiple classifier system for pixel classification of remote sensing images
U Maulik, D Chakraborty
Fundamenta Informaticae 101 (4), 286-304, 2010
202010
Identification of biomarker on biological and gene expression data using fuzzy preference based rough set
S Begum, R Sarkar, D Chakraborty, U Maulik
Journal of Intelligent Systems 30 (1), 130-141, 2020
192020
Antibacterial activities of cobweb protein
D Chakraborty, S Das
Clinical Microbiology and Infection 15 (4), S626-S627, 2009
162009
Hydrodynamic characteristics of a sparged gas− liquid contactor for fine bubble generation
D Chakraborty, GSR Krishna, S Chakraborty, BC Meikap
Industrial & engineering chemistry research 48 (24), 11225-11229, 2009
152009
Breast cancer detection using feature selection and active learning
S Begum, SP Bera, D Chakraborty, R Sarkar
Computer, Communication and Electrical Technology, 43-48, 2017
112017
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Articole 1–20