| Nonlinear alignment and averaging for estimating the evoked potential L Gupta, DL Molfese, R Tammana, PG Simos IEEE transactions on biomedical engineering 43 (4), 348-356, 1996 | 241 | 1996 |
| Contour sequence moments for the classification of closed planar shapes L Gupta, MD Srinath Pattern Recognition 20 (3), 267-272, 1987 | 241 | 1987 |
| Gesture-based interaction and communication: automated classification of hand gesture contours L Gupta, S Ma IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2001 | 174 | 2001 |
| A Gaussian-mixture-based image segmentation algorithm L Gupta, T Sortrakul Pattern recognition 31 (3), 315-325, 1998 | 167 | 1998 |
| A neural network approach to robust shape classification L Gupta, MR Sayeh, R Tammana Pattern Recognition 23 (6), 563-568, 1990 | 105 | 1990 |
| Tongue-movement communication and control concept for hands-free human–machine interfaces R Vaidyanathan, B Chung, L Gupta, H Kook, S Kota, JD West IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2007 | 85 | 2007 |
| Multichannel fusion models for the parametric classification of differential brain activity L Gupta, B Chung, MD Srinath, DL Molfese, H Kook IEEE transactions on biomedical engineering 52 (11), 1869-1881, 2005 | 72 | 2005 |
| A decision-fusion strategy for fruit quality inspection using hyperspectral imaging Y Nanyam, R Choudhary, L Gupta, J Paliwal Biosystems engineering 111 (1), 118-125, 2012 | 62 | 2012 |
| Invariant planar shape recognition using dynamic alignment L Gupta, MD Srinath Pattern Recognition 21 (3), 235-239, 1988 | 61 | 1988 |
| Predicting item difficulty in a reading comprehension test with an artificial neural network K Perkins, L Gupta, R Tammana Language testing 12 (1), 34-53, 1995 | 60 | 1995 |
| Classification of temporal sequences via prediction using the simple recurrent neural network L Gupta, M McAvoy, J Phegley Pattern Recognition 33 (10), 1759-1770, 2000 | 58 | 2000 |
| Robust partial shape classification using invariant breakpoints and dynamic alignment L Gupta, K Malakapalli Pattern Recognition 23 (10), 1103-1111, 1990 | 39 | 1990 |
| Non-linear alignment of neural net outputs for partial shape classification L Gupta, AM Upadhye Pattern recognition 24 (10), 943-948, 1991 | 34 | 1991 |
| Parametric classification of multichannel averaged event-related potentials L Gupta, J Phegley, DL Molfese IEEE transactions on biomedical engineering 49 (8), 905-911, 2002 | 29 | 2002 |
| Statistical analysis of self-similar session initiation protocol (sip) messages for anomaly detection N Hentehzadeh, A Mehta, VK Gurbani, L Gupta, TK Ho, G Wilathgamuwa 2011 4th IFIP International Conference on New Technologies, Mobility and …, 2011 | 28 | 2011 |
| Investigating the prediction capabilities of the simple recurrent neural network on real temporal sequences L Gupta, M McAvoy Pattern Recognition 33 (12), 2075-2081, 2000 | 27 | 2000 |
| An artificial neural-network approach to ERP classification L Gupta, DL Molfese, R Tammana Brain and cognition 27 (3), 311-330, 1995 | 27 | 1995 |
| Fusion of enhanced and synthetic vision system images for runway and horizon detection AF Fadhil, R Kanneganti, L Gupta, H Eberle, R Vaidyanathan Sensors 19 (17), 3802, 2019 | 25 | 2019 |
| A feature ranking strategy to facilitate multivariate signal classification L Gupta, S Kota, S Murali, DL Molfese, R Vaidyanathan IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2009 | 25 | 2009 |
| Real-time implementation of a non-invasive tongue-based human-robot interface M Mace, K Abdullah-Al-Mamun, R Vaidyanathan, S Wang, L Gupta 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 23 | 2010 |
