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Lalit Gupta
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2020 – today
- 2024
- [j38]Xiaoqian Chen
, Lalit Gupta
Training LSTMS with circular-shift epochs for accurate event forecasting in imbalanced time series. Expert Syst. Appl. 238(Part C): 121701 (2024) - 2023
- [j37]Xiaoqian Chen
Multidomain Convolution Neural Network Models for Improved Event-Related Potential Classification. Sensors 23(10): 4656 (2023) - 2022
- [j36]Xiaoqian Chen
Improving the Forecasting and Classification of Extreme Events in Imbalanced Time Series Through Block Resampling in the Joint Predictor-Forecast Space. IEEE Access 10: 121048-121079 (2022) - 2021
- [j35]Rajesh Amerineni, Lalit Gupta
Fusion Models for Generalized Classification of Multi-Axial Human Movement: Validation in Sport Performance. Sensors 21(24): 8409 (2021) - 2020
- [j34]Lalit Gupta
Calculating the divided differences of the exponential function by addition and removal of inputs. Comput. Phys. Commun. 254: 107385 (2020)
2010 – 2019
- 2019
- [j33]Ahmed F. Fadhil
Fusion of Enhanced and Synthetic Vision System Images for Runway and Horizon Detection. Sensors 19(17): 3802 (2019) - [c26]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: 600-613 - [i1]Lalit Gupta, Lev Yu. Barash, Itay Hen:
Calculating the divided differences of the exponential function by addition and removal of inputs. CoRR abs/1912.12157 (2019) - 2018
- [c25]Rajesh Amerineni, Lalit Gupta, Resh S. Gupta:
Classification models inspired by multisensory integration. BHI 2018: 255-258 - [c24]Rajesh Amerineni, Lalit Gupta, Resh S. Gupta:
A Context-Integrating Signal Classification Model for Resolving Ambiguous Stimuli. GlobalSIP 2018: 509-513 - 2017
- [j32]Madallah Alruwaili, Lalit Gupta:
Formulating Enhancement and Restoration Strategy to Improve the Quality of Dusty Images. J. Comput. 12(4): 291-300 (2017) - [c23]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: 1-6 - [c22]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: 12-17 - [c21]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: 1-6 - [c20]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: 92-111 - 2015
- [c19]Madallah Alruwaili, Lalit Gupta:
A statistical adaptive algorithm for dust image enhancement and restoration. EIT 2015: 286-289 - 2013
- [j31]Michael Mace
A heterogeneous framework for real-time decoding of bioacoustic signals: Applications to assistive interfaces and prosthesis control. Expert Syst. Appl. 40(13): 5049-5060 (2013) - [c18]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: 3905-3908 - 2012
- [j30]Khondaker Abdullah Al Mamun, Michael Mace
Robust real-time identification of tongue movement commands from interferences. Neurocomputing 80: 83-92 (2012) - [c17]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 - 2011
- [j29]Lalit Gupta, Srinivas Kota
Central-tendency estimation and nearest-estimate classification of event related potentials. Pattern Recognit. 44(7): 1418-1425 (2011) - [c16]Michael Mace
Ensemble classification for robust discrimination of multi-channel, multi-class tongue-movement ear pressure signals. EMBC 2011: 1733-1736 - [c15]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: 7219-7222 - [c14]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 - 2010
- [j28]Lalit Gupta, Srinivas Kota
A Feature Ranking Strategy to Facilitate Multivariate Signal Classification. IEEE Trans. Syst. Man Cybern. Part C 40(1): 98-108 (2010) - [c13]Michael Mace
Real-time implementation of a non-invasive tongue-based human-robot interface. IROS 2010: 5486-5491
2000 – 2009
- 2009
- [j27]Srinivas Kota
A Dynamic Channel Selection Strategy for Dense-Array ERP Classification. IEEE Trans. Biomed. Eng. 56(4): 1040-1051 (2009) - [c12]Srinivas Kota
A DCT-Gaussian classification scheme for human-robot interface. IROS 2009: 5503-5508 - 2008
- [j26]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): 1106-1117 (2008) - [j25]Hyunseok Kook, Lalit Gupta, Srinivas Kota
An offline/real-time artifact rejection strategy to improve the classification of multi-channel evoked potentials. Pattern Recognit. 41(6): 1985-1996 (2008) - [c11]Lalit Gupta, Sunil Kumar, Randeep Singh, Shaik Rafi, Nevenka Dimitrova, Aparni Gortha
Classification method for microarray probe selection using sequence, thermodynamics and secondary structure parameters. ICPR 2008: 1-5 - [c10]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 - [c9]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 - [c8]Lalit Gupta, Srinivas Kota
Dimensionality reduction strategies for the design of human machine interface signal classifiers. SMC 2008: 2432-2436 - 2007
- [j24]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) - [j23]Ravi Vaidyanathan
A Dual Mode Human-Robot Teleoperation Interface Based on Airflow in the Aural Cavity. Int. J. Robotics Res. 26(11-12): 1205-1223 (2007) - [j22]Ravi Vaidyanathan
Tongue-Movement Communication and Control Concept for Hands-Free Human-Machine Interfaces. IEEE Trans. Syst. Man Cybern. Part A 37(4): 533-546 (2007) - 2006
- [c7]Lalit Gupta, Sukhendu Das
Texture Edge Detection using Multi-resolution Features and SOM. ICPR (2) 2006: 199-202 - [c6]Ravi Vaidyanathan
A Decision Fusion Classification Architecture for Mapping of Tongue Movements based on Aural Flow Monitoring. ICRA 2006: 3610-3617 - [c5]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 - 2005
- [j21]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): 2174-2184 (2005) - [j20]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): 1869-1881 (2005) - [j19]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): 718-726 (2005) - 2004
- [c4]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: 613-616 - [c3]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 - 2002
- [j18]James W. Phegley, Kyle Perkins, Lalit Gupta, J. Kevin Dorsey:
Risk-factor fusion for predicting multifactorial diseases. IEEE Trans. Biomed. Eng. 49(1): 72-76 (2002) - [j17]Lalit Gupta, James W. Phegley, Dennis Molfese:
Parametric classification of multichannel averaged event-related potentials. IEEE Trans. Biomed. Eng. 49(8): 905-911 (2002) - [j16]Lalit Gupta, James W. Phegley, Dennis Molfese:
Correction to "parametric classification of multichannel averaged event-related potentials". IEEE Trans. Biomed. Eng. 49(9): 1070 (2002) - 2001
- [j15]Lalit Gupta, Suwei Ma:
Gesture-based interaction and communication: automated classification of hand gesture contours. IEEE Trans. Syst. Man Cybern. Syst. 31(1): 114-120 (2001) - 2000
- [j14]Lalit Gupta, Mark McAvoy, James W. Phegley:
Classification of temporal sequences via prediction using the simple recurrent neural network. Pattern Recognit. 33(10): 1759-1770 (2000) - [j13]Lalit Gupta, Mark McAvoy:
Investigating the prediction capabilities of the simple recurrent neural network on real temporal sequences. Pattern Recognit. 33(12): 2075-2081 (2000)
1990 – 1999
- 1998
- [j12]Lalit Gupta, Thotsapon Sortrakul:
A gaussian-mixture-based image segmentation algorithm. Pattern Recognit. 31(3): 315-325 (1998) - 1996
- [j11]Lalit Gupta, Dennis Molfese, Ravi Tammana, Panagiotis G. Simos
Nonlinear alignment and averaging for estimating the evoked potential. IEEE Trans. Biomed. Eng. 43(4): 348-356 (1996) - 1995
- [j10]Lalit Gupta, Thotsapon Sortrakul, Alain Charles, Paul Kisatsky:
Robust automatic target recognition using a localized boundary representation. Pattern Recognit. 28(10): 1587-1598 (1995) - [j9]Lalit Gupta, Ravi Tammana:
A discrepancy measure for improved clustering. Pattern Recognit. 28(10): 1627-1634 (1995) - 1994
- [j8]Lalit Gupta, Jiesheng Wang, Alain Charles, Paul Kisatsky:
Three-layer perceptron based classifiers for the partial shape classification problem. Pattern Recognit. 27(1): 91-97 (1994) - 1992
- [j7]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): 413-421 (1992) - [j6]Lalit Gupta, Jiesheng Wang, Alain Charles, Paul Kisatsky:
Prototype selection rules for neural network training. Pattern Recognit. 25(11): 1401-1408 (1992) - 1991
- [j5]Lalit Gupta, Anand M. Upadhye:
Non-linear alignment of neural net outputs for partial shape classification. Pattern Recognit. 24(10): 943-948 (1991) - 1990
- [j4]Lalit Gupta, Mohammad R. Sayeh, Ravi Tammana:
A neural network approach to robust shape classification. Pattern Recognit. 23(6): 563-568 (1990) - [j3]Lalit Gupta, Krishna Malakapalli:
Robust partial shape classification using invariant breakpoints and dynamic alignment. Pattern Recognit. 23(10): 1103-1111 (1990)
1980 – 1989
- 1988
- [j2]Lalit Gupta, Mandyam D. Srinath:
Invariant planar shape recognition using dynamic alignment. Pattern Recognit. 21(3): 235-239 (1988) - [c2]Lalit Gupta, Mohammad R. Sayeh:
Neural networks for planar shape classification. ICASSP 1988: 936-939 - 1987
- [j1]Lalit Gupta, Mandyam D. Srinath:
Contour sequence moments for the classification of closed planar shapes. Pattern Recognit. 20(3): 267-272 (1987) - [c1]Lalit Gupta, Mandyam D. Srinath:
Invariant planar shape recognition using dynamic alignment. ICASSP 1987: 217-220
Coauthor Index
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