Umesh Gupta

Orcid: 0000-0002-1547-7974

According to our database1, Umesh Gupta authored at least 22 papers between 2011 and 2024.

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Bibliography

2024
Functional iterative approach for Universum-based primal twin bounded support vector machine to EEG classification (FUPTBSVM).
Multim. Tools Appl., 2024

A secure image authentication technique based on sparse approximation and quantum mechanism.
Digit. Signal Process., 2024

2023
Non-overlapping block-level difference-based image forgery detection and localization (NB-localization).
Vis. Comput., December, 2023

Leaf disease detection using machine learning and deep learning: Review and challenges.
Appl. Soft Comput., September, 2023

Least squares structural twin bounded support vector machine on class scatter.
Appl. Intell., June, 2023

Generalized framework using Federated Learning for tomato disease classification over unbalanced dataset.
Proceedings of the 9th International Conference on Computer Technology Applications, 2023

2022
VI-NET: A hybrid deep convolutional neural network using VGG and inception V3 model for copy-move forgery classification.
J. Vis. Commun. Image Represent., 2022

Bipolar fuzzy based least squares twin bounded support vector machine.
Fuzzy Sets Syst., 2022

Graph Similarity Using Tree Edit Distance.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

2021
On Regularization Based Twin Support Vector Regression with Huber Loss.
Neural Process. Lett., 2021

Computational approach to clinical diagnosis of diabetes disease: a comparative study.
Multim. Tools Appl., 2021

Regularized based implicit Lagrangian twin extreme learning machine in primal for pattern classification.
Int. J. Mach. Learn. Cybern., 2021

Kernel-Target Alignment Based Fuzzy Lagrangian Twin Bounded Support Vector Machine.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2021

On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function.
Appl. Soft Comput., 2021

Least squares large margin distribution machine for regression.
Appl. Intell., 2021

2019
An improved regularization based Lagrangian asymmetric ν-twin support vector regression using pinball loss function.
Appl. Intell., 2019

2018
Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2016
Analysis of k-means clustering approach on the breast cancer Wisconsin dataset.
Int. J. Comput. Assist. Radiol. Surg., 2016

2015
Performance of the NVIDIA Jetson TK1 in HPC.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014
A Survey on Breast Cancer Scenario and Prediction Strategy.
Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014

2012
An Efficient Solution to a Multiple Non-Linear Regression Model with Interaction Effect using TORA and LINDO.
Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012

2011
Combining file content and file relations for cloud based malware detection.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011


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