Unsupervised feature selection using feature similarity P Mitra, CA Murthy, SK Pal IEEE transactions on pattern analysis and machine intelligence 24 (3), 301-312, 2002 | 1914 | 2002 |
Data mining in soft computing framework: a survey S Mitra, SK Pal, P Mitra IEEE transactions on neural networks 13 (1), 3-14, 2002 | 941 | 2002 |
Web mining in soft computing framework: relevance, state of the art and future directions SK Pal, V Talwar, P Mitra IEEE transactions on neural networks 13 (5), 1163-1177, 2002 | 573 | 2002 |
Feature weighting in content based recommendation system using social network analysis S Debnath, N Ganguly, P Mitra Proceeding of the 17th international conference on World Wide Web, 1041-1042, 2008 | 361 | 2008 |
Segmentation of multispectral remote sensing images using active support vector machines P Mitra, BU Shankar, SK Pal Pattern recognition letters 25 (9), 1067-1074, 2004 | 352 | 2004 |
Pattern recognition algorithms for data mining: scalability, knowledge discovery and soft granular computing SK Pal, P Mitra CRC press, 2004 | 325* | 2004 |
Case generation using rough sets with fuzzy representation SK Pal, P Mitra IEEE Transactions on Knowledge and Data Engineering 16 (3), 293-300, 2004 | 246 | 2004 |
Granular computing, rough entropy and object extraction SK Pal, BU Shankar, P Mitra Pattern recognition letters 26 (16), 2509-2517, 2005 | 228 | 2005 |
Current knowledge on the distribution of arsenic in groundwater in five states of India R Nickson, C Sengupta, P Mitra, SN Dave, AK Banerjee, A Bhattacharya, ... Journal of Environmental Science and Health, Part A 42 (12), 1707-1718, 2007 | 217 | 2007 |
Application of optimized machine learning techniques for prediction of occupational accidents S Sarkar, S Vinay, R Raj, J Maiti, P Mitra Computers & Operations Research 106, 210-224, 2019 | 214 | 2019 |
YASS: Yet another suffix stripper P Majumder, M Mitra, SK Parui, G Kole, P Mitra, K Datta ACM transactions on information systems (TOIS) 25 (4), 18-es, 2007 | 212 | 2007 |
Deep learning in multi-object detection and tracking: state of the art SK Pal, A Pramanik, J Maiti, P Mitra Applied Intelligence 51, 6400-6429, 2021 | 208 | 2021 |
Density-based multiscale data condensation P Mitra, CA Murthy, SK Pal IEEE Transactions on pattern analysis and machine intelligence 24 (6), 734-747, 2002 | 200 | 2002 |
Multispectral image segmentation using the rough-set-initialized EM algorithm SK Pal, P Mitra IEEE Transactions on Geoscience and Remote Sensing 40 (11), 2495-2501, 2002 | 181 | 2002 |
Ensemble of deep convolutional neural networks for learning to detect retinal vessels in fundus images D Maji, A Santara, P Mitra, D Sheet arXiv preprint arXiv:1603.04833, 2016 | 167 | 2016 |
The big data system, components, tools, and technologies: a survey TR Rao, P Mitra, R Bhatt, A Goswami Knowledge and Information Systems 60, 1165-1245, 2019 | 160 | 2019 |
BASS net: Band-adaptive spectral-spatial feature learning neural network for hyperspectral image classification A Santara, K Mani, P Hatwar, A Singh, A Garg, K Padia, P Mitra IEEE Transactions on Geoscience and Remote Sensing 55 (9), 5293-5301, 2017 | 160 | 2017 |
A probabilistic active support vector learning algorithm P Mitra, CA Murthy, SK Pal IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (3), 413-418, 2004 | 144 | 2004 |
Rough-fuzzy MLP: modular evolution, rule generation, and evaluation SK Pal, S Mitra, P Mitra Knowledge and Data Engineering, IEEE Transactions on 15 (1), 14-25, 2003 | 142 | 2003 |
Feature selection techniques for maximum entropy based biomedical named entity recognition SK Saha, S Sarkar, P Mitra Journal of biomedical informatics 42 (5), 905-911, 2009 | 141 | 2009 |