Author

Umesh Datt Gupta

Bennett University, The Times of India Group, Greater Noida - Cited by 217 - Support Vector Machine - Extreme Learning Machine - Support Vector Regression

Biography

I am Umesh Datt Gupta, belonging to Department of Microbiology and Molecular Biology, National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Tajganj, Agra, India. Interested in the field of Mycobacterium, Ribonucleotide reductase.
Title
Cited by
Year
An improved regularization based Lagrangian asymmetric ν-twin support vector regression using pinball loss function
U Gupta, D GuptaApplied Intelligence 49 (10), 3606-3627, 2019201
31
2019
On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function
D Gupta, U GuptaApplied Soft Computing 102, 107099, 2021202
25
2021
On regularization based twin support vector regression with Huber loss
U Gupta, D GuptaNeural Processing Letters 53 (1), 459-515, 2021202
24
2021
Computational approach to clinical diagnosis of diabetes disease: a comparative study
D Gupta, A Choudhury, U Gupta, P Singh, M PrasadMultimedia Tools and Applications, 1-26, 2021202
24
2021
Lagrangian twin-bounded support vector machine based on L2-norm
U Gupta, D GuptaRecent Developments in Machine Learning and Data Analytics: IC3 2018, 431-444, 202
19
2019
Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine
U Gupta, D Gupta, M Prasad20 IEEE Symposium Series on Computational Intelligence (SSCI), 228-235, 202
18
2018
Least squares large margin distribution machine for regression
U Gupta, D GuptaApplied Intelligence, 1-36, 2021202
17
2021
Regularized based implicit Lagrangian twin extreme learning machine in primal for pattern classification
U Gupta, D GuptaInternational Journal of Machine Learning and Cybernetics 12 (5), 1311-1342, 2021202
17
2021
Kernel-Target Alignment Based Fuzzy Lagrangian Twin Bounded Support Vector Machine
U Gupta, D GuptaInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2021202
10
2021
Analysis of Target Tracking Algorithm in Thermal Imagery
U Gupta, M Dutta, M VadhavaniyaInternational Journal of Computer Applications 1 (16), 2013201
7
2013
Statistical analysis of target tracking algorithms in thermal imagery
U Gupta, P MeherCognitive Informatics and Soft Computing: Proceeding of CISC 2019, 35-4, 2020202
6
2020
VI-NET: a hybrid deep convolutional neural network using VGG and inception V3 model for copy-move forgery classification
S Kumar, SK Gupta, M Kaur, U GuptaJournal of Visual Communication and Image Representation 89, 1036, 2022202
4
2022
Analysis of Randomization-Based Approaches for Autism Spectrum Disorder
U Gupta, D Gupta, U AgarwalPattern Recognition and Data Analysis with Applications, 701-71, 2022202
3
2022
Bipolar fuzzy based least squares twin bounded support vector machine
U Gupta, D GuptaFuzzy Sets and Systems 449, 120-161, 2022202
3
2022
Gaze-based Authentication in Cloud Computing
A Gahlot, U GuptaInternational Journal of Computer Applications 1 (0975-8887), 14-20, 2016201
3
2016
Performance evaluation of different versions of 2D Torus network
S Yadav, R Mishra, U Gupta2015 IEEE International Conference on Advances in Computer Engineering and …, 2015201
3
2015
Analysis of Modified Substitution Encryption Techniques
G Soni, U Gupta, N SinghIn 013 IEEE International Conference on Advanced Research in Engineering …, 01301
2
2013
Automated Machine Learning Deployment Using Open-Source CI/CD Tool
AS Parihar, U Gupta, U Srivastava, V Yadav, VK TrivediProceedings of Data Analytics and Management: ICDAM 2022, 209-222, 2023202
1
2023

Referred From: https://scholar.google.co.in/citations?user=WsX1W4IAAAAJ&hl=en

Cited by
Citations 217
h-index 9
i10-index 9
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