Lalit Gupta

Khondaker Abdullah-Al-Mamun, Michael Mace, Lalit Gupta, Carl A. Verschuur, Mark E. Lutman, Maria Stokes, Ravi Vaidyanathan, Shouyan Wang: Robust real-time identification of tongue movement commands from interferences. Neurocomputing 80: 83-92 (2012)

Matthew Schlesinger, Dima Amso, Scott P. Johnson, Neda Hantehzadeh, Lalit Gupta: Using the iCub simulator to study perceptual development: A case study. ICDL-EPIROB 2012: 1-6

Lalit Gupta, Srinivas Kota, Phani Yarlagadda, Dennis Molfese: Central-tendency estimation and nearest-estimate classification of event related potentials. Pattern Recognition 44(7): 1418-1425 (2011)

Neda Hantehzadeh, Anil Mehta, Vijay K. Gurbani, Lalit Gupta, Tin Kam Ho, Gayan Wilathgamuwa: Statistical Analysis of Self-Similar Session Initiation Protocol (SIP) Messages for Anomaly Detection. NTMS 2011: 1-5

Lalit Gupta, Srinivas Kota, Swetha Murali, Dennis Molfese, Ravi Vaidyanathan: A Feature Ranking Strategy to Facilitate Multivariate Signal Classification. IEEE Transactions on Systems, Man, and Cybernetics, Part C 40(1): 98-108 (2010)

Michael Mace, Khondaker Abdullah-Al-Mamun, Ravi Vaidyanathan, Shouyan Wang, Lalit Gupta: Real-time implementation of a non-invasive tongue-based human-robot interface. IROS 2010: 5486-5491

Srinivas Kota, Lalit Gupta, Dennis Molfese, Ravi Vaidyanathan: A Dynamic Channel Selection Strategy for Dense-Array ERP Classification. IEEE Trans. Biomed. Engineering 56(4): 1040-1051 (2009)

Srinivas Kota, Michael Mace, Lalit Gupta, Ravi Vaidyanathan: A DCT-Gaussian classification scheme for human-robot interface. IROS 2009: 5503-5508

Lalit Gupta, Utthara Gosa Mangai, Sukhendu Das: Integrating region and edge information for texture segmentation using a modified constraint satisfaction neural network. Image Vision Comput. 26(8): 1106-1117 (2008)

Hyunseok Kook, Lalit Gupta, Srinivas Kota, Dennis Molfese, H. Lyytinen: An offline/real-time artifact rejection strategy to improve the classification of multi-channel evoked potentials. Pattern Recognition 41(6): 1985-1996 (2008)

Lalit Gupta, Sunil Kumar, Randeep Singh, Shaik Rafi, Nevenka Dimitrova, Aparni Gortha, B. Lakshmi, Deepa Pai, Sitharthan Kamalakaran, Xiaoyue Zhao, Michael Wigler: Classification method for microarray probe selection using sequence, thermodynamics and secondary structure parameters. ICPR 2008: 1-5

Rahul Kumar Singh, Sarif Kumar Naik, Lalit Gupta, Srinivasan Balakrishnan, C. Santhosh, Keerthilatha M. Pai: Hybrid SVM - Random Forest classication system for oral cancer screening using LIF spectra. ICPR 2008: 1-4

Lalit Gupta, Sarif Kumar Naik, Srinivasan Balakrishnan: A New Feature Selection and Classification Scheme for Screening of Oral Cancer Using Laser Induced Fluorescence. ICMB 2008: 1-8

Lalit Gupta, Srinivas Kota, Swetha Murali, Dennis Molfese, Ravi Vaidyanathan: Dimensionality reduction strategies for the design of human machine interface signal classifiers. SMC 2008: 2432-2436

Lalit Gupta, Vinod Pathangay, Arpita Patra, A. Dyana, Sukhendu Das: Indoor versus Outdoor Scene Classification Using Probabilistic Neural Network. EURASIP J. Adv. Sig. Proc. 2007 (2007)

Ravi Vaidyanathan, Monique P. Fargues, R. Serdar Kurcan, Lalit Gupta, Srinivas Kota, Roger D. Quinn, Dong Lin: A Dual Mode Human-Robot Teleoperation Interface Based on Airflow in the Aural Cavity. I. J. Robotic Res. 26(11-12): 1205-1223 (2007)

Ravi Vaidyanathan, Beomsu Chung, Lalit Gupta, Hyunseok Kook, Srinivas Kota, James D. West: Tongue-Movement Communication and Control Concept for Hands-Free Human-Machine Interfaces. IEEE Transactions on Systems, Man, and Cybernetics, Part A 37(4): 533-546 (2007)

Lalit Gupta, Sukhendu Das: Texture Edge Detection using Multi-resolution Features and SOM. ICPR (2) 2006: 199-202

Ravi Vaidyanathan, Lalit Gupta, Hyunseok Kook, James West: A Decision Fusion Classification Architecture for Mapping of Tongue Movements based on Aural Flow Monitoring. ICRA 2006: 3610-3617

Aakanksha Gagrani, Lalit Gupta, Balaraman Ravindran, Sukhendu Das, Pinaki Roychowdhury, V. K. Panchal: A Hierarchical Approach to Landform Classification of Satellite Images Using a Fusion Strategy. ICVGIP 2006: 140-151

Hyunseok Kook, Lalit Gupta, Dennis Molfese, K. C. Fadem: Multi-stimuli multi-channel data and decision fusion strategies for dyslexia prediction using neonatal ERPs. Pattern Recognition 38(11): 2174-2184 (2005)

Lalit Gupta, Beomsu Chung, Mandyam D. Srinath, Dennis Molfese, Hyunseok Kook: Multichannel fusion models for the parametric classification of differential brain activity. IEEE Trans. Biomed. Engineering 52(11): 1869-1881 (2005)

James W. Phegley, Kyle Perkins, Lalit Gupta, L. F. Hughes: Multicategory Prediction of Multifactorial Diseases Through Risk Factor Fusion and Rank-Sum Selection. IEEE Transactions on Systems, Man, and Cybernetics, Part A 35(5): 718-726 (2005)

Ravi Vaidyanathan, Lalit Gupta, Beomsu Chung, Thomas J. Allen, Roger D. Quinn, Massood Tabib-Azar, Joseph Zarycki, Joel Levin: Human-machine interface for tele-robotic operation: mapping of tongue movements based on aural flow monitoring. IROS 2004: 859-865

James W. Phegley, Kyle Perkins, Lalit Gupta, J. Kevin Dorsey: Risk-factor fusion for predicting multifactorial diseases. IEEE Trans. Biomed. Engineering 49(1): 72-76 (2002)

Lalit Gupta, James W. Phegley, Dennis Molfese: Parametric classification of multichannel averaged event-related potentials. IEEE Trans. Biomed. Engineering 49(8): 905-911 (2002)

Lalit Gupta, James W. Phegley, Dennis Molfese: Correction to "parametric classification of multichannel averaged event-related potentials". IEEE Trans. Biomed. Engineering 49(9): 1070 (2002)

Lalit Gupta, Mark McAvoy, James W. Phegley: Classification of temporal sequences via prediction using the simple recurrent neural network. Pattern Recognition 33(10): 1759-1770 (2000)

Lalit Gupta, Mark McAvoy: Investigating the prediction capabilities of the simple recurrent neural network on real temporal sequences. Pattern Recognition 33(12): 2075-2081 (2000)

Lalit Gupta, Thotsapon Sortrakul: A gaussian-mixture-based image segmentation algorithm. Pattern Recognition 31(3): 315-325 (1998)

Lalit Gupta, Thotsapon Sortrakul, Alain Charles, Paul Kisatsky: Robust automatic target recognition using a localized boundary representation. Pattern Recognition 28(10): 1587-1598 (1995)

Lalit Gupta, Ravi Tammana: A discrepancy measure for improved clustering. Pattern Recognition 28(10): 1627-1634 (1995)

Lalit Gupta, Jiesheng Wang, Alain Charles, Paul Kisatsky: Three-layer perceptron based classifiers for the partial shape classification problem. Pattern Recognition 27(1): 91-97 (1994)

Lalit Gupta, Anand M. Upadhye, Bruce Denby, Salvator R. Amendolia, Giovanni Grieco: Neural network trigger algorithms for heavy quark event selection in a fixed target high energy physics experiment. Pattern Recognition 25(4): 413-421 (1992)

Lalit Gupta, Jiesheng Wang, Alain Charles, Paul Kisatsky: Prototype selection rules for neural network training. Pattern Recognition 25(11): 1401-1408 (1992)

Lalit Gupta, Anand M. Upadhye: Non-linear alignment of neural net outputs for partial shape classification. Pattern Recognition 24(10): 943-948 (1991)

Lalit Gupta, Mohammad R. Sayeh, Ravi Tammana: A neural network approach to robust shape classification. Pattern Recognition 23(6): 563-568 (1990)

Lalit Gupta, Krishna Malakapalli: Robust partial shape classification using invariant breakpoints and dynamic alignment. Pattern Recognition 23(10): 1103-1111 (1990)