| Twin support vector machines for pattern classification R Khemchandani, S Chandra IEEE Transactions on pattern analysis and machine intelligence 29 (5), 905-910, 2007 | 1878 | 2007 |
| Comprehensive review on twin support vector machines M Tanveer, T Rajani, R Rastogi, YH Shao, MA Ganaie Annals of Operations Research 339 (3), 1223-1268, 2024 | 326 | 2024 |
| 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 | 152 | 2009 |
| Optimal kernel selection in twin support vector machines R Khemchandani, Jayadeva, S Chandra Optimization Letters 3 (1), 77-88, 2009 | 123 | 2009 |
| Robust least squares twin support vector machine for human activity recognition R Khemchandani, S Sharma Applied Soft Computing 47, 33-46, 2016 | 88 | 2016 |
| TWSVR: regression via twin support vector machine R Khemchandani, K Goyal, S Chandra Neural Networks 74, 14-21, 2016 | 75 | 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 | 61 | 2010 |
| A class of new support vector regression models P Anand, R Rastogi, S Chandra Applied Soft Computing 94, 106446, 2020 | 56 | 2020 |
| Twin support vector machines: models, extensions and applications Jayadeva, R Khemchandani, S Chandra Springer Publishing Company, Incorporated, 2018 | 54 | 2018 |
| 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 | 47 | 2019 |
| Knowledge based proximal support vector machines R Khemchandani, S Chandra European Journal of Operational Research 195 (3), 914-923, 2009 | 47 | 2009 |
| Low rank label subspace transformation for multi-label learning with missing labels S Kumar, R Rastogi Information Sciences 596, 53-72, 2022 | 45 | 2022 |
| Robust parametric twin support vector machine for pattern classification R Rastogi, S Sharma, S Chandra Neural processing letters 47 (1), 293-323, 2018 | 45 | 2018 |
| Multi-label classification with missing labels using label correlation and robust structural learning R Rastogi, S Mortaza Knowledge-Based Systems 229, 107336, 2021 | 38 | 2021 |
| Fuzzy least squares twin support vector clustering R Khemchandani, A Pal, S Chandra Neural computing and applications 29 (2), 553-563, 2018 | 38 | 2018 |
| Generalized pinball loss SVMs R Rastogi, A Pal, S Chandra Neurocomputing 322, 151-165, 2018 | 37 | 2018 |
| Improvements on ν-twin support vector machine R Khemchandani, P Saigal, S Chandra Neural Networks 79, 97-107, 2016 | 36 | 2016 |
| Fuzzy multi-category proximal support vector classification via generalized eigenvalues Jayadeva, R Khemchandani, S Chandra Soft Computing 11 (7), 679-685, 2007 | 35 | 2007 |
| A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model P Anand, R Rastogi, S Chandra Applied Soft Computing 94, 106473, 2020 | 34 | 2020 |
Suresh ChandraProfessor(Retired) of Mathematics,Indian Institute of Technology,New DelhiVerified email at maths.iitd.ac.in
