Lalit Gupta

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 16

Top Topics

Signal Analysis

Graphics Processors

Top Venues

Expert Syst. Appl.

Publications

Xiaoqian Chen, Lalit Gupta
Training LSTMS with circular-shift epochs for accurate event forecasting in imbalanced time series. Expert Syst. Appl. 238 (Part C) (2024)
Xiaoqian Chen, Resh S. Gupta, Lalit Gupta
Multidomain Convolution Neural Network Models for Improved Event-Related Potential Classification. Sensors 23 (10) (2023)
Xiaoqian Chen, Lalit Gupta, Spyros Tragoudas
Improving the Forecasting and Classification of Extreme Events in Imbalanced Time Series Through Block Resampling in the Joint Predictor-Forecast Space. IEEE Access 10 (2022)
Rajesh Amerineni, Lalit Gupta, Nathan Steadman, Keshwyn Annauth, Charles Burr, Samuel Wilson, Payam M. Barnaghi, Ravi Vaidyanathan
Fusion Models for Generalized Classification of Multi-Axial Human Movement: Validation in Sport Performance. Sensors 21 (24) (2021)
Lalit Gupta, Lev Yu. Barash, Itay Hen
Calculating the divided differences of the exponential function by addition and removal of inputs. Comput. Phys. Commun. 254 (2020)
Ahmed F. Fadhil, Raghuveer Kanneganti, Lalit Gupta, Henry Eberle, Ravi Vaidyanathan
Fusion of Enhanced and Synthetic Vision System Images for Runway and Horizon Detection. Sensors 19 (17) (2019)
Lalit Gupta, Lev Yu. Barash, Itay Hen
Calculating the divided differences of the exponential function by addition and removal of inputs. CoRR (2019)
Xiuli Wang, Ming Yang, Lalit Gupta, Yang Bai
A New Technique for Laser Spot Detection and Tracking by Using Optical Flow and Kalman Filter. CVC (1) (2019)
Rajesh Amerineni, Lalit Gupta, Resh S. Gupta
A Context-Integrating Signal Classification Model for Resolving Ambiguous Stimuli. GlobalSIP (2018)
Rajesh Amerineni, Lalit Gupta, Resh S. Gupta
Classification models inspired by multisensory integration. BHI (2018)
Vivek Nautiyal, Lalit Gupta, Gaurav Singla, Jitendra Dasani, Sagar Dwivedi, Martin Kinkade
Self-timed Power-on Reset Circuit for Pseudo Dual/Two Port SRAM Used in Low-Voltage IoT Applications. VLSI-SoC (Selected Papers) (2017)
Madallah Alruwaili, Lalit Gupta
Formulating Enhancement and Restoration Strategy to Improve the Quality of Dusty Images. J. Comput. 12 (4) (2017)
Vivek Nautiyal, Gaurav Singla, Lalit Gupta, Sagar Dwivedi, Martin Kinkade
An ultra high density pseudo dual-port SRAM in 16nm FINFET process for graphics processors. SoCC (2017)
Vivek Nautiyal, Gaurav Singla, Lalit Gupta, Jitendra Dasani, Sagar Dwivedi, Martin Kinkade
Robust, self-timed power-on reset circuit for low-voltage applications. VLSI-SoC (2017)
Vivek Nautiyal, Gaurav Singla, Satinderjit Singh, Fakhruddin Ali Bohra, Jitendra Dasani, Lalit Gupta, Sagar Dwivedi
Charge recycled low power SRAM with integrated write and read assist, for wearable electronics, designed in 7nm FinFET. ISLPED (2017)
Madallah Alruwaili, Lalit Gupta
A statistical adaptive algorithm for dust image enhancement and restoration. EIT (2015)
Michael Mace, Khondaker Abdullah Al Mamun, Ali Azzam Naeem, Lalit Gupta, Shouyan Wang, Ravi Vaidyanathan
A heterogeneous framework for real-time decoding of bioacoustic signals: Applications to assistive interfaces and prosthesis control. Expert Syst. Appl. 40 (13) (2013)
Ranjan Das, Pallavi Vajinepalli, Rajendra Singh Sisodia, Lalit Gupta
Automatic doppler signal analysis to assess utero-placental circulation for identifying high risk pregnancies. EMBC (2013)
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 (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)
Michael Mace, Khondaker Abdullah Al Mamun, Shouyan Wang, Lalit Gupta, Ravi Vaidyanathan
Ensemble classification for robust discrimination of multi-channel, multi-class tongue-movement ear pressure signals. EMBC (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)
Lalit Gupta, Rajendra Singh Sisodia, Pallavi Vajinepalli, Celine Firtion, Ganesan Ramachandran
Segmentation of 2D fetal ultrasound images by exploiting context information using conditional random fields. EMBC (2011)
Lalit Gupta, Srinivas Kota, Phani Yarlagadda, Dennis Molfese
Central-tendency estimation and nearest-estimate classification of event related potentials. Pattern Recognit. 44 (7) (2011)
Lalit Gupta, Srinivas Kota, Swetha Murali, Dennis Molfese, Ravi Vaidyanathan
A Feature Ranking Strategy to Facilitate Multivariate Signal Classification. IEEE Trans. Syst. Man Cybern. Part C 40 (1) (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)
Srinivas Kota, Lalit Gupta, Dennis Molfese, Ravi Vaidyanathan
A Dynamic Channel Selection Strategy for Dense-Array ERP Classification. IEEE Trans. Biomed. Eng. 56 (4) (2009)
Srinivas Kota, Michael Mace, Lalit Gupta, Ravi Vaidyanathan
A DCT-Gaussian classification scheme for human-robot interface. IROS (2009)
Lalit Gupta, Srinivas Kota, Swetha Murali, Dennis Molfese, Ravi Vaidyanathan
Dimensionality reduction strategies for the design of human machine interface signal classifiers. SMC (2008)
Lalit Gupta, Utthara Gosa Mangai, Sukhendu Das
Integrating region and edge information for texture segmentation using a modified constraint satisfaction neural network. Image Vis. Comput. 26 (8) (2008)
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)
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)
Hyunseok Kook, Lalit Gupta, Srinivas Kota, Dennis Molfese, Heikki Lyytinen
An offline/real-time artifact rejection strategy to improve the classification of multi-channel evoked potentials. Pattern Recognit. 41 (6) (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)
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. Int. J. Robotics Res. 26 (11-12) (2007)
Lalit Gupta, Vinod Pathangay, Arpita Patra, A. Dyana, Sukhendu Das
Indoor versus Outdoor Scene Classification Using Probabilistic Neural Network. EURASIP J. Adv. Signal Process. 2007 (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 Trans. Syst. Man Cybern. Part A 37 (4) (2007)
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)
Lalit Gupta, Sukhendu Das
Texture Edge Detection using Multi-resolution Features and SOM. ICPR (2) (2006)
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)
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. Eng. 52 (11) (2005)
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 Recognit. 38 (11) (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 Trans. Syst. Man Cybern. Part A 35 (5) (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)
Ravi Vaidyanathan, Hyunseok Kook, Lalit Gupta, James West
Parametric and non-parametric signal analysis for mapping air flow in the ear-canal to tongue movements: a new strategy for hands-free human-machine interfaces. ICASSP (5) (2004)
Lalit Gupta, James W. Phegley, Dennis Molfese
Correction to "parametric classification of multichannel averaged event-related potentials". IEEE Trans. Biomed. Eng. 49 (9) (2002)
Lalit Gupta, James W. Phegley, Dennis Molfese
Parametric classification of multichannel averaged event-related potentials. IEEE Trans. Biomed. Eng. 49 (8) (2002)
James W. Phegley, Kyle Perkins, Lalit Gupta, J. Kevin Dorsey
Risk-factor fusion for predicting multifactorial diseases. IEEE Trans. Biomed. Eng. 49 (1) (2002)
Lalit Gupta, Suwei Ma
Gesture-based interaction and communication: automated classification of hand gesture contours. IEEE Trans. Syst. Man Cybern. Syst. 31 (1) (2001)
Lalit Gupta, Mark McAvoy, James W. Phegley
Classification of temporal sequences via prediction using the simple recurrent neural network. Pattern Recognit. 33 (10) (2000)
Lalit Gupta, Mark McAvoy
Investigating the prediction capabilities of the simple recurrent neural network on real temporal sequences. Pattern Recognit. 33 (12) (2000)
Lalit Gupta, Thotsapon Sortrakul
A gaussian-mixture-based image segmentation algorithm. Pattern Recognit. 31 (3) (1998)
Lalit Gupta, Ravi Tammana
A discrepancy measure for improved clustering. Pattern Recognit. 28 (10) (1995)
Lalit Gupta, Thotsapon Sortrakul, Alain Charles, Paul Kisatsky
Robust automatic target recognition using a localized boundary representation. Pattern Recognit. 28 (10) (1995)
Lalit Gupta, Jiesheng Wang, Alain Charles, Paul Kisatsky
Three-layer perceptron based classifiers for the partial shape classification problem. Pattern Recognit. 27 (1) (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 Recognit. 25 (4) (1992)
Lalit Gupta, Jiesheng Wang, Alain Charles, Paul Kisatsky
Prototype selection rules for neural network training. Pattern Recognit. 25 (11) (1992)
Lalit Gupta, Anand M. Upadhye
Non-linear alignment of neural net outputs for partial shape classification. Pattern Recognit. 24 (10) (1991)
Lalit Gupta, Krishna Malakapalli
Robust partial shape classification using invariant breakpoints and dynamic alignment. Pattern Recognit. 23 (10) (1990)
Lalit Gupta, Mohammad R. Sayeh, Ravi Tammana
A neural network approach to robust shape classification. Pattern Recognit. 23 (6) (1990)
Lalit Gupta, Mohammad R. Sayeh
Neural networks for planar shape classification. ICASSP (1988)
Lalit Gupta, Mandyam D. Srinath
Invariant planar shape recognition using dynamic alignment. Pattern Recognit. 21 (3) (1988)
Lalit Gupta, Mandyam D. Srinath
Contour sequence moments for the classification of closed planar shapes. Pattern Recognit. 20 (3) (1987)
Lalit Gupta, Mandyam D. Srinath
Invariant planar shape recognition using dynamic alignment. ICASSP (1987)