| A neural network clustering algorithm for the ATLAS silicon pixel detector ATLAS Collaboration IOP Publishing, 2014 | 273* | 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 | 230 | 2017 |
| 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 | 129 | 2019 |
| 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 | 109 | 2011 |
| Fuzzy preference based feature selection and semisupervised SVM for cancer classification U Maulik, D Chakraborty IEEE transactions on nanobioscience 13 (2), 152-160, 2014 | 85 | 2014 |
| 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 | 75 | 2016 |
| 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 | 75 | 2012 |
| 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 | 65 | 2013 |
| Data classification using feature selection and kNN machine learning approach S Begum, D Chakraborty, R Sarkar 2015 International Conference on Computational Intelligence and …, 2015 | 63 | 2015 |
| 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 | 52 | 2014 |
| 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 | 26 | 2022 |
| 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 | 23 | 2012 |
| Open banking: a revolution in the Tech-Fin industry J Gogia, D Chakraborty International Journal of Electronic Banking 3 (2), 100-120, 2022 | 22 | 2022 |
| 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 | 21 | 2021 |
| 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 | 21 | 2015 |
| A robust multiple classifier system for pixel classification of remote sensing images U Maulik, D Chakraborty Fundamenta Informaticae 101 (4), 286-304, 2010 | 21 | 2010 |
| 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 | 19 | 2020 |
| Antibacterial activities of cobweb protein D Chakraborty, S Das Clinical Microbiology and Infection 15 (4), S626-S627, 2009 | 17 | 2009 |
| 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 | 15 | 2009 |
| 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 | 12 | 2016 |
Ujjwal MaulikProfessor of Computer Science and Engineering, Jadavpur UniversityVerified email at cse.jdvu.ac.in
