Year |
Citation |
Score |
2022 |
Chen X, Gupta RS, Gupta L. Exploiting the Cone of Influence for Improving the Performance of Wavelet Transform-Based Models for ERP/EEG Classification. Brain Sciences. 13. PMID 36672003 DOI: 10.3390/brainsci13010021 |
0.371 |
|
2021 |
Amerineni R, Gupta L, Steadman N, Annauth K, Burr C, Wilson S, Barnaghi P, Vaidyanathan R. Fusion Models for Generalized Classification of Multi-Axial Human Movement: Validation in Sport Performance. Sensors (Basel, Switzerland). 21. PMID 34960500 DOI: 10.3390/s21248409 |
0.344 |
|
2020 |
Amerineni R, Gupta RS, Gupta L. CINET: A Brain-Inspired Deep Learning Context-Integrating Neural Network Model for Resolving Ambiguous Stimuli. Brain Sciences. 10. PMID 31991649 DOI: 10.3390/Brainsci10020064 |
0.337 |
|
2019 |
Fadhil AF, Kanneganti R, Gupta L, Eberle H, Vaidyanathan R. Fusion of Enhanced and Synthetic Vision System Images for Runway and Horizon Detection. Sensors (Basel, Switzerland). 19. PMID 31484303 DOI: 10.3390/S19173802 |
0.647 |
|
2019 |
Amerineni R, Gupta RS, Gupta L. Multimodal Object Classification Models Inspired by Multisensory Integration in the Brain. Brain Sciences. 9. PMID 30609705 DOI: 10.3390/Brainsci9010003 |
0.439 |
|
2015 |
Poudel A, Kanneganti R, Li S, Gupta L, Chu TP. Classification of ultrasonic echo signals to detect embedded defects in carbon fibre reinforced plastic laminates International Journal of Microstructure and Materials Properties. 10: 216-230. DOI: 10.1504/Ijmmp.2015.072917 |
0.738 |
|
2013 |
Gupta L, Kota S, Molfese DL, Vaidyanathan R. Pairwise diversity ranking of polychotomous features for ensemble physiological signal classifiers. Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine. 227: 655-62. PMID 23636746 DOI: 10.1177/0954411913480621 |
0.728 |
|
2013 |
Mace M, Abdullah-Al-Mamun K, Naeem AA, Gupta L, Wang S, Vaidyanathan R. A heterogeneous framework for real-time decoding of bioacoustic signals: Applications to assistive interfaces and prosthesis control Expert Systems With Applications. 40: 5049-5060. DOI: 10.1016/J.Eswa.2013.03.028 |
0.363 |
|
2012 |
Mamun KA, Mace M, Gupta L, Verschuur CA, Lutman ME, Stokes M, Vaidyanathan R, Wang S. Robust real-time identification of tongue movement commands from interferences Neurocomputing. 80: 83-92. DOI: 10.1016/J.Neucom.2011.09.018 |
0.398 |
|
2012 |
Nanyam Y, Choudhary R, Gupta L, Paliwal J. A decision-fusion strategy for fruit quality inspection using hyperspectral imaging Biosystems Engineering. 111: 118-125. DOI: 10.1016/J.Biosystemseng.2011.11.004 |
0.404 |
|
2011 |
Mace M, Abdullah-Al-Mamun K, Wang S, Gupta L, Vaidyanathan R. Ensemble classification for robust discrimination of multi-channel, multi-class tongue-movement ear pressure signals. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 1733-6. PMID 22254661 DOI: 10.1109/IEMBS.2011.6090496 |
0.312 |
|
2011 |
Gupta L, Kota S, Yarlagadda P, Molfese DL. Central-tendency estimation and nearest-estimate classification of event related potentials Pattern Recognition. 44: 1418-1425. DOI: 10.1016/J.Patcog.2011.01.002 |
0.704 |
|
2010 |
Gupta L, Kota S, Molfese DL, Vaidyanathan R. Diversity-based selection of components for fusion classifiers. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2010: 6304-7. PMID 21097362 DOI: 10.1109/IEMBS.2010.5628090 |
0.715 |
|
2010 |
Gupta L, Kota S, Murali S, Molfese DL, Vaidyanathan R. A feature ranking strategy to facilitate multivariate signal classification Ieee Transactions On Systems, Man and Cybernetics Part C: Applications and Reviews. 40: 98-108. DOI: 10.1109/TSMCC.2009.2024648 |
0.606 |
|
2009 |
Kota S, Yarlagadda P, Gupta L, Molfese DL. Central-tendency estimation and nearest-estimate classification of multi-channel evoked potentials. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2009: 2575-8. PMID 19965215 DOI: 10.1109/IEMBS.2009.5335281 |
0.687 |
|
2008 |
Kota S, Gupta L, Molfese D, Vaidyanathan R. Spatio-temporal modeling for dense array ERP classification. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2008: 2091-4. PMID 19163108 DOI: 10.1109/IEMBS.2008.4649605 |
0.696 |
|
2008 |
Kook H, Gupta L, Kota S, Molfese D, Lyytinen H. An offline/real-time artifact rejection strategy to improve the classification of multi-channel evoked potentials Pattern Recognition. 41: 1985-1996. DOI: 10.1016/J.Patcog.2007.09.001 |
0.733 |
|
2007 |
Kook H, Gupta L, Kota S, Molfese D. A dynamic multi-channel decision-fusion strategy to classify differential brain activity. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2007: 3212-5. PMID 18002679 DOI: 10.1109/IEMBS.2007.4353013 |
0.717 |
|
2007 |
Vaidyanathan R, Fargues MP, Kurcan RS, Gupta L, Kota S, Quinn RD, Dong L. A dual mode human-robot teleoperation interface based on airflow in the aural cavity International Journal of Robotics Research. 26: 1205-1223. DOI: 10.1177/0278364907082612 |
0.51 |
|
2007 |
Vaidyanathan R, Chung B, Gupta L, Kook H, Kota S, West JD. Tongue-movement communication and control concept for hands-free human-machine interfaces Ieee Transactions On Systems, Man, and Cybernetics Part a:Systems and Humans. 37: 533-546. DOI: 10.1109/TSMCA.2007.897919 |
0.41 |
|
2005 |
Gupta L, Chung B, Srinath MD, Molfese DL, Kook H. Multichannel fusion models for the parametric classification of differential brain activity. Ieee Transactions On Bio-Medical Engineering. 52: 1869-81. PMID 16285391 DOI: 10.1109/Tbme.2005.856272 |
0.734 |
|
2005 |
Phegley JW, Perkins K, Gupta L, Hughes LF. Multicategory prediction of multifactorial diseases through risk factor fusion and rank-sum selection Ieee Transactions On Systems, Man, and Cybernetics Part a:Systems and Humans.. 35: 718-726. DOI: 10.1109/TSMCA.2005.843390 |
0.752 |
|
2005 |
Kook H, Gupta L, Molfese D, Fadem KC. Multi-stimuli multi-channel data and decision fusion strategies for dyslexia prediction using neonatal ERPs Pattern Recognition. 38: 2174-2184. DOI: 10.1016/J.Patcog.2005.03.003 |
0.669 |
|
2004 |
Gupta L, Chung B, Molfese DL. Multichannel fusion models for the parametric classification of multicategory differential brain activity. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2: 940-3. PMID 17271834 DOI: 10.1109/IEMBS.2004.1403315 |
0.704 |
|
2002 |
Gupta L, Phegley J, Molfese DL. Parametric classification of multichannel averaged event-related potentials. Ieee Transactions On Bio-Medical Engineering. 49: 905-11. PMID 12148829 DOI: 10.1109/Tbme.2002.800787 |
0.655 |
|
2002 |
Phegley J, Perkins K, Gupta L, Dorsey JK. Risk-factor fusion for predicting multifactorial diseases. Ieee Transactions On Bio-Medical Engineering. 49: 72-6. PMID 11794774 DOI: 10.1109/10.972842 |
0.753 |
|
2002 |
Gupta L, Phegley J, Molfese D. Correction to "Parametric classification of multichannel averaged event-related potentials" Ieee Transactions On Biomedical Engineering. 49: 1070-1070. DOI: 10.1109/Tbme.2002.802870 |
0.592 |
|
2000 |
Gupta L, McAvoy M. Investigating the prediction capabilities of the simple recurrent neural network on real temporal sequences Pattern Recognition. 33: 2075-2081. DOI: 10.1016/S0031-3203(99)00187-9 |
0.386 |
|
2000 |
Gupta L, McAvoy M, Phegley J. Classification of temporal sequences via prediction using the simple recurrent neural network Pattern Recognition. 33: 1759-1770. DOI: 10.1016/S0031-3203(99)00149-1 |
0.755 |
|
1998 |
Gupta L, Sortrakul T. A Gaussian-mixture-based image segmentation algorithm Pattern Recognition. 31: 315-325. DOI: 10.1016/S0031-3203(97)00045-9 |
0.359 |
|
1996 |
Gupta L, Molfese DL, Tammana R, Simos PG. Nonlinear alignment and averaging for estimating the evoked potential. Ieee Transactions On Bio-Medical Engineering. 43: 348-56. PMID 8626184 DOI: 10.1109/10.486255 |
0.568 |
|
1995 |
Gupta L, Molfese DL, Tammana R. An artificial neural network approach to ERP classification. Brain and Cognition. 27: 311-30. PMID 7626279 DOI: 10.1006/Brcg.1995.1025 |
0.605 |
|
1995 |
Perkins K, Gupta L, Tammana R. Predicting item difficulty in a reading comprehension test with an artificial neural network Language Testing. 12: 34-53. DOI: 10.1177/026553229501200103 |
0.32 |
|
1995 |
Gupta L, Sortrakul T, Charles A, Kisatsky P. Robust automatic target recognition using a localized boundary representation Pattern Recognition. 28: 1587-1598. DOI: 10.1016/0031-3203(94)00023-F |
0.309 |
|
1994 |
Gupta L, Wang J, Charles A, Kisatsky P. Three-layer perceptron based classifiers for the partial shape classification problem Pattern Recognition. 27: 91-97. DOI: 10.1016/0031-3203(94)90019-1 |
0.395 |
|
1992 |
Gupta L, Wang J, Charles A, Kisatsky P. Prototype selection rules for neural network training Pattern Recognition. 25: 1401-1408. DOI: 10.1117/12.140131 |
0.377 |
|
1992 |
Gupta L, Upadhye AM, Denby B, Amendolia SR, Grieco G. Neural network trigger algorithms for heavy quark event selection in a fixed target high energy physics experiment Pattern Recognition. 25: 413-421. DOI: 10.1016/0031-3203(92)90089-2 |
0.345 |
|
1991 |
Gupta L, Upadhye AM. Non-linear alignment of neural net outputs for partial shape classification Pattern Recognition. 24: 943-948. DOI: 10.1016/0031-3203(91)90091-I |
0.348 |
|
1990 |
Gupta L, Sayeh MR, Tammana R. A neural network approach to robust shape classification Pattern Recognition. 23: 563-568. DOI: 10.1016/0031-3203(90)90034-I |
0.386 |
|
1990 |
Gupta L, Malakapalli K. Robust partial shape classification using invariant breakpoints and dynamic alignment Pattern Recognition. 23: 1103-1111. DOI: 10.1016/0031-3203(90)90006-7 |
0.344 |
|
1987 |
Gupta L, Srinath MD. Contour sequence moments for the classification of closed planar shapes Pattern Recognition. 20: 267-272. DOI: 10.1016/0031-3203(87)90001-X |
0.325 |
|
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