| Feature selection for classification M Dash, H Liu Intelligent data analysis 1 (1-4), 131-156, 1997 | 5166 | 1997 |
| Discretization: An enabling technique H Liu, F Hussain, CL Tan, M Dash Data mining and knowledge discovery 6, 393-423, 2002 | 1425 | 2002 |
| Consistency-based search in feature selection M Dash, H Liu Artificial intelligence 151 (1-2), 155-176, 2003 | 1175 | 2003 |
| Feature selection for clustering-a filter solution M Dash, K Choi, P Scheuermann, H Liu 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 115-122, 2002 | 972* | 2002 |
| Wrapper–filter feature selection algorithm using a memetic framework Z Zhu, YS Ong, M Dash IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37 …, 2007 | 565 | 2007 |
| Markov blanket-embedded genetic algorithm for gene selection Z Zhu, YS Ong, M Dash Pattern Recognition 40 (11), 3236-3248, 2007 | 513 | 2007 |
| Consistency based feature selection M Dash, H Liu, H Motoda Knowledge Discovery and Data Mining. Current Issues and New Applications …, 2000 | 302 | 2000 |
| Dimensionality reduction of unsupervised data M Dash, H Liu, J Yao Proceedings ninth ieee international conference on tools with artificial …, 1997 | 282 | 1997 |
| Entropy-based fuzzy clustering and fuzzy modeling J Yao, M Dash, ST Tan, H Liu Fuzzy sets and Systems 113 (3), 381-388, 2000 | 260 | 2000 |
| Salt stress induced changes in growth and enzyme activities in germinating Phaseolus mungo seeds M Dash, SK Panda Biologia plantarum 44 (4), 587-589, 2001 | 250 | 2001 |
| Automated segmentation and classification of brain stroke using expectation-maximization and random forest classifier A Subudhi, M Dash, S Sabut Biocybernetics and Biomedical Engineering 40 (1), 277-289, 2020 | 199 | 2020 |
| Flocculation properties of polyacrylamide grafted carboxymethyl guar gum (CMG-g-PAM) synthesised by conventional and microwave assisted method S Pal, S Ghorai, MK Dash, S Ghosh, G Udayabhanu Journal of hazardous materials 192 (3), 1580-1588, 2011 | 191 | 2011 |
| Antimicrobial resistance in pathogens causing urinary tract infections in a rural community of Odisha, India M Dash, S Padhi, I Mohanty, P Panda, B Parida Journal of Family and Community Medicine 20 (1), 20-26, 2013 | 186 | 2013 |
| Machine learning approach to detect cardiac arrhythmias in ECG signals: A survey S Sahoo, M Dash, S Behera, S Sabut Irbm 41 (4), 185-194, 2020 | 169 | 2020 |
| Fractional generalized splines and signal processing R Panda, M Dash Signal Processing 86 (9), 2340-2350, 2006 | 168 | 2006 |
| Determinants of household collection of non-timber forest products (NTFPs) and alternative livelihood activities in Similipal Tiger Reserve, India M Dash, B Behera Forest Policy and Economics 73, 215-228, 2016 | 138 | 2016 |
| Review on Cleome gynandra SS Mishra, SK Moharana, MR Dash International journal of research in Pharmacy and chemistry 1 (3), 681-689, 2011 | 123 | 2011 |
| A monotonic measure for optimal feature selection H Liul, H Motoda, M Dash Machine Learning: ECML-98: 10th European Conference on Machine Learning …, 1998 | 116 | 1998 |
| Phytochemical and antimicrobial screening of extracts of Aquilaria agallocha Roxb. M Dash, JK Patra, PP Panda African Journal of Biotechnology 7 (20), 2008 | 111 | 2008 |
| PsLSNet: Automated psoriasis skin lesion segmentation using modified U-Net-based fully convolutional network M Dash, ND Londhe, S Ghosh, A Semwal, RS Sonawane Biomedical Signal Processing and Control 52, 226-237, 2019 | 107 | 2019 |
