Dr. Debasis Chakraborty
Dr. Debasis Chakraborty
Associate Professor, Murshidabad College of Engineering and Technology
Verified email at mcetbhb.net
Title
Cited by
Cited by
Year
A neural network clustering algorithm for the ATLAS silicon pixel detector
ATLAS collaboration
Journal of instrumentation 9 (09), P09009, 2014
1212014
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
752011
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
642017
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
532012
A study on infections caused by metallo beta lactamase producing gram negative bacteria in intensive care unit patients
D Chakraborty, S Basu, S Das
Am J Infect Dis 6 (2), 34-39, 2010
532010
Fuzzy preference based feature selection and semisupervised SVM for cancer classification
U Maulik, D Chakraborty
IEEE transactions on nanobioscience 13 (2), 152-160, 2014
432014
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
402013
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
342019
A hybrid KNN-LR classifier and its application in customer churn prediction
Y Zhang, J Qi, H Shu, J Cao
2007 IEEE International Conference on Systems, Man and Cybernetics, 3265-3269, 2007
252007
A neural network clustering algorithm for the ATLAS silicon pixel detector, JINST 9 (2014) P09009
ATLAS Collaboration
arXiv preprint arXiv:1406.7690, 0
24
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
212014
Data classification using feature selection and kNN machine learning approach
S Begum, D Chakraborty, R Sarkar
2015 International Conference on Computational Intelligence and …, 2015
192015
A novel semisupervised SVM for pixel classification of remote sensing imagery
U Maulik, D Chakraborty
International Journal of Machine Learning and Cybernetics 3 (3), 247-258, 2012
182012
A robust multiple classifier system for pixel classification of remote sensing images
U Maulik, D Chakraborty
Fundamenta Informaticae 101 (4), 286-304, 2010
172010
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
122015
Antibacterial activities of cobweb protein: R2127
D Chakraborty, S Das
Clinical Microbiology & Infection 15 (4), 2009
112009
Identifying cancer biomarkers from leukemia data using feature selection and supervised learning
S Begum, D Chakraborty, R Sarkar
2016 IEEE First International Conference on Control, Measurement and …, 2016
82016
Breast cancer detection using feature selection and active learning
S Begum, SP Bera, D Chakraborty, R Sarkar
Computer, communication and electrical technology: proceedings of the …, 2017
72017
Search for the Standard Model Higgs boson produced by vector-boson fusion and decaying to bottom quarks in TeV pp collisions with the ATLAS detector
M Aaboud, G Aad, B Abbott, J Abdallah, B Abeloos, R Aben, OS AbouZeid, ...
Journal of High Energy Physics 2016 (11), 112, 2016
62016
Cancer classification through feature selection and transductive SVM using gene microarray data
D Chakraborty, S Das
2012 Third International Conference on Emerging Applications of Information …, 2012
52012
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