L. Gupta

Scott P. Johnson, Lalit Gupta, Matthew Schlesinger, 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

Indoor versus Outdoor Scene Classification Using Probabilistic Neural Network

Sukhendu Das, Arpita Patra, Lalit Gupta, 2007, EURASIP J. Adv. Signal Process..

Indoor vs . Outdoor Scene Classification using Probabilistic Neural Network

Sukhendu Das, Arpita Patra, Lalit Gupta, 2022 .

Multicategory prediction of multifactorial diseases through risk factor fusion and rank-sum selection

Lalit Gupta, James W. Phegley, Kyle Perkins, 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Tongue in cheek: a novel concept in assistive human machine interface

Ravi Vaidyanathan, Lalit Gupta, Michael Mace, 2009 .

Non-linear alignment of neural net outputs for partial shape classification

L. Gupta, A.M. Upadhye, A. M. Upadhye, 1991, Pattern Recognit..

A neural network approach to robust shape classification

Mohammad R. Sayeh, Lalit Gupta, Ravi Tammana, 1990, Pattern Recognit..

Fusion Models for Generalized Classification of Multi-Axial Human Movement: Validation in Sport Performance

Ravi Vaidyanathan, Payam M. Barnaghi, Lalit Gupta, 2021, Sensors.

CINET: A Brain-Inspired Deep Learning Context-Integrating Neural Network Model for Resolving Ambiguous Stimuli

Lalit Gupta, Rajesh Amerineni, Resh S Gupta, 2020, Brain sciences.

Neural network trigger algorithms for heavy quark event selection in a fixed target high energy physics experiment

Bruce Denby, Giovanni Grieco, Lalit Gupta, 1992, Pattern Recognit..

Spatio-temporal modeling for dense array ERP classification

Ravi Vaidyanathan, Lalit Gupta, Srinivas Kota, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Contour sequence moments for the classification of closed planar shapes

Mandyam D. Srinath, Lalit Gupta, M. Srinath, 1987, Pattern Recognit..

Multidomain Convolution Neural Network Models for Improved Event-Related Potential Classification

Resh S. Gupta, L. Gupta, Xiaoqian Chen, 2023, Sensors.

Exploiting the Cone of Influence for Improving the Performance of Wavelet Transform-Based Models for ERP/EEG Classification

Resh S. Gupta, L. Gupta, Xiaoqian Chen, 2022, Brain sciences.

Multichannel fusion models for the parametric classification of differential brain activity

Mandyam D. Srinath, Lalit Gupta, Hyunseok Kook, 2005, IEEE Transactions on Biomedical Engineering.

Parametric classification of multichannel averaged event-related potentials

Lalit Gupta, Dennis Molfese, James W. Phegley, 2002, IEEE Transactions on Biomedical Engineering.

A Dynamic Channel Selection Strategy for Dense-Array ERP Classification

Ravi Vaidyanathan, Lalit Gupta, Srinivas Kota, 2009, IEEE Transactions on Biomedical Engineering.

Nonlinear alignment and averaging for estimating the evoked potential

L. Gupta, D.L. Molfese, R. Tammana, 1996, IEEE Transactions on Biomedical Engineering.

Diversity-Based Selection of Polychotomous Components for Multi-Sensor Fusion Classifiers

L. Gupta, S. Kota, 2013 .

Multi-stimuli multi-channel data and decision fusion strategies for dyslexia prediction using neonatal ERPs

Lalit Gupta, Hyunseok Kook, Dennis Molfese, 2005, Pattern Recognit..

A statistical adaptive algorithm for dust image enhancement and restoration

Lalit Gupta, Madallah Alruwaili, L. Gupta, 2015, 2015 IEEE International Conference on Electro/Information Technology (EIT).

Gesture-based interaction and communication: automated classification of hand gesture contours

Lalit Gupta, Suwei Ma, L. Gupta, 2001, IEEE Trans. Syst. Man Cybern. Syst..

Texture Edge Detection using Multi-resolution Features and SOM

Sukhendu Das, Lalit Gupta, L. Gupta, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

ignment and Averaging stimating the Evoked Potential

Panagiotis G. Simos, Lalit Gupta, Ravi Tammana, 1996 .

A DCT-Gaussian classification scheme for human-robot interface

Ravi Vaidyanathan, Lalit Gupta, Michael Mace, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

A Feature Ranking Strategy to Facilitate Multivariate Signal Classification

Ravi Vaidyanathan, Lalit Gupta, Srinivas Kota, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Ranking Strategy to Facilitate Multivariate Signal Classification

R. Vaidyanathan, L. Gupta, S. Kota, 2009 .

Classification of ultrasonic echo signals to detect embedded defects in carbon fibre reinforced plastic laminates

Shanglei Li, Tsuchin Philip Chu, Lalit Gupta, 2015 .

Classification of temporal sequences via prediction using the simple recurrent neural network

Lalit Gupta, James W. Phegley, Mark McAvoy, 2000, Pattern Recognit..

Fusion of Enhanced and Synthetic Vision System Images for Runway and Horizon Detection

Ahmed F. Fadhil, R. Vaidyanathan, L. Gupta, 2018, Sensors.

An offline/real-time artifact rejection strategy to improve the classification of multi-channel evoked potentials

Heikki Lyytinen, Lalit Gupta, Hyunseok Kook, 2008, Pattern Recognit..

A Dynamic Multi-Channel Decision-Fusion Strategy to Classify Differential Brain Activity

Hyunseok Kook, L. Gupta, S. Kota, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Robust real-time identification of tongue movement commands from interferences

Ravi Vaidyanathan, Mark E. Lutman, Michael Mace, 2012, Neurocomputing.