Twin support vector machines for pattern classification R Khemchandani, S Chandra IEEE Transactions on pattern analysis and machine intelligence 29 (5), 905-910, 2007 | 1670 | 2007 |
Comprehensive review on twin support vector machines M Tanveer, T Rajani, R Rastogi, YH Shao, MA Ganaie Annals of Operations Research, 1-46, 2022 | 171 | 2022 |
Regularized least squares fuzzy support vector regression for financial time series forecasting R Khemchandani, S Chandra Expert Systems with Applications 36 (1), 132-138, 2009 | 145 | 2009 |
Optimal kernel selection in twin support vector machines R Khemchandani, Jayadeva, S Chandra Optimization Letters 3, 77-88, 2009 | 113 | 2009 |
Robust least squares twin support vector machine for human activity recognition R Khemchandani, S Sharma Applied Soft Computing 47, 33-46, 2016 | 79 | 2016 |
TWSVR: regression via twin support vector machine R Khemchandani, K Goyal, S Chandra Neural Networks 74, 14-21, 2016 | 69 | 2016 |
Fast and robust learning through fuzzy linear proximal support vector machines R Khemchandani, S Chandra Neurocomputing 61, 401-411, 2004 | 66 | 2004 |
Knowledge based least squares twin support vector machines MA Kumar, R Khemchandani, M Gopal, S Chandra Information Sciences 180 (23), 4606-4618, 2010 | 58 | 2010 |
Knowledge based proximal support vector machines R Khemchandani, S Chandra European Journal of Operational Research 195 (3), 914-923, 2009 | 48 | 2009 |
Twin support vector machines: models, extensions and applications Jayadeva, R Khemchandani, S Chandra Springer Publishing Company, Incorporated, 2018 | 44 | 2018 |
Robust parametric twin support vector machine for pattern classification R Rastogi, S Sharma, S Chandra Neural processing letters 47 (1), 293-323, 2018 | 38 | 2018 |
Fuzzy least squares twin support vector clustering R Khemchandani, A Pal, S Chandra Neural computing and applications 29, 553-563, 2018 | 36 | 2018 |
Improvements on ν-twin support vector machine R Khemchandani, P Saigal, S Chandra Neural Networks 79, 97-107, 2016 | 36 | 2016 |
Large-scale twin parametric support vector machine using pinball loss function S Sharma, R Rastogi, S Chandra IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (2), 987-1003, 2019 | 35 | 2019 |
Fuzzy multi-category proximal support vector classification via generalized eigenvalues Jayadeva, R Khemchandani, S Chandra Soft Computing 11, 679-685, 2007 | 35 | 2007 |
A ν-twin support vector machine based regression with automatic accuracy control R Rastogi, P Anand, S Chandra Applied Intelligence 46, 670-683, 2017 | 32 | 2017 |
A class of new support vector regression models P Anand, R Rastogi, S Chandra Applied Soft Computing 94, 106446, 2020 | 31 | 2020 |
Color image classification and retrieval through ternary decision structure based multi-category TWSVM R Khemchandani, P Saigal Neurocomputing 165, 444-455, 2015 | 31 | 2015 |
Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives R Khemchandani, S Chandra Information Sciences 178 (17), 3402-3414, 2008 | 31 | 2008 |
Twin support vector regression for the simultaneous learning of a function and its derivatives R Khemchandani, A Karpatne, S Chandra International Journal of Machine Learning and Cybernetics 4 (1), 51-63, 2013 | 30 | 2013 |