Lalit Gupta - Publications

Affiliations: 
Southern Illinois University at Carbondale, Carbondale, IL 
Area:
Electronics and Electrical Engineering, Computer Science

41 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

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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