Umesh Gupta

According to our database, Umesh Gupta authored at least 21 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Deepak Gupta, Umesh Gupta, Hemanga Jyoti Sarma

Multim. Tools Appl., 2024

2023

Non-overlapping block-level difference-based image forgery detection and localization (NB-localization).

Sanjeev Kumar, Suneet Kumar Gupta, Umesh Gupta, Mohit Agarwal

Vis. Comput., December, 2023

Leaf disease detection using machine learning and deep learning: Review and challenges.

Chittabarni Sarkar, Deepak Gupta, Umesh Gupta, Barenya Bikash Hazarika

Appl. Soft Comput., September, 2023

Least squares structural twin bounded support vector machine on class scatter.

Umesh Gupta, Deepak Gupta

Appl. Intell., June, 2023

Generalized framework using Federated Learning for tomato disease classification over unbalanced dataset.

Dibyanarayan Hazra, Suneet Kumar Gupta, Umesh Gupta, Mohit Agarwal

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.

Sanjeev Kumar, Suneet K. Gupta, Manjit Kaur, Umesh Gupta

J. Vis. Commun. Image Represent., 2022

Bipolar fuzzy based least squares twin bounded support vector machine.

Umesh Gupta, Deepak Gupta

Fuzzy Sets Syst., 2022

Graph Similarity Using Tree Edit Distance.

Shri Prakash Dwivedi, Vishal Srivastava, Umesh Gupta

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

2021

On Regularization Based Twin Support Vector Regression with Huber Loss.

Umesh Gupta, Deepak Gupta

Neural Process. Lett., 2021

Computational approach to clinical diagnosis of diabetes disease: a comparative study.

Deepak Gupta, Ambika Choudhury, Umesh Gupta, Priyanka Singh, Mukesh Prasad

Multim. Tools Appl., 2021

Regularized based implicit Lagrangian twin extreme learning machine in primal for pattern classification.

Umesh Gupta, Deepak Gupta

Int. J. Mach. Learn. Cybern., 2021

Kernel-Target Alignment Based Fuzzy Lagrangian Twin Bounded Support Vector Machine.

Umesh Gupta, Deepak Gupta

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2021

On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function.

Deepak Gupta, Umesh Gupta

Appl. Soft Comput., 2021

Least squares large margin distribution machine for regression.

Umesh Gupta, Deepak Gupta

Appl. Intell., 2021

2019

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

Umesh Gupta, Deepak Gupta

Appl. Intell., 2019

2018

Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine.

Umesh Gupta, Deepak Gupta, Mukesh Prasad

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2016

Analysis of k-means clustering approach on the breast cancer Wisconsin dataset.

Ashutosh Kumar Dubey, Umesh Gupta, Sonal Jain

Int. J. Comput. Assist. Radiol. Surg., 2016

2015

Performance of the NVIDIA Jetson TK1 in HPC.

Yash Ukidave, David R. Kaeli, Umesh Gupta, Kurt Keville

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014

A Survey on Breast Cancer Scenario and Prediction Strategy.

Ashutosh Kumar Dubey, Umesh Gupta, Sonal Jain

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.

Umesh Gupta, Devender Singh Hada, Ankita Mathur

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.

Yanfang Ye, Tao Li, Shenghuo Zhu, Weiwei Zhuang, Egemen Tas, Umesh Gupta, Melih Abdulhayoglu

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011