Umesh Gupta

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 18

Top Topics

Unbalanced Data

Top Venues

Multim. Tools Appl.

Appl. Soft Comput.

Publications

Deepak Gupta, Umesh Gupta, Hemanga Jyoti Sarma
Functional iterative approach for Universum-based primal twin bounded support vector machine to EEG classification (FUPTBSVM). Multim. Tools Appl. 83 (8) (2024)
Rohit Agrawal, Kuldeep Narayan Tripathi, Ranjeet Kumar Singh, Nitin Arvind Shelke, Umesh Gupta
A secure image authentication technique based on sparse approximation and quantum mechanism. Digit. Signal Process. 147 (2024)
Chittabarni Sarkar, Deepak Gupta, Umesh Gupta, Barenya Bikash Hazarika
Leaf disease detection using machine learning and deep learning: Review and challenges. Appl. Soft Comput. 145 (2023)
Dibyanarayan Hazra, Suneet Kumar Gupta, Umesh Gupta, Mohit Agarwal
Generalized framework using Federated Learning for tomato disease classification over unbalanced dataset. ICCTA (2023)
Umesh Gupta, Deepak Gupta
Least squares structural twin bounded support vector machine on class scatter. Appl. Intell. 53 (12) (2023)
Sanjeev Kumar, Suneet Kumar Gupta, Umesh Gupta, Mohit Agarwal
Non-overlapping block-level difference-based image forgery detection and localization (NB-localization). Vis. Comput. 39 (12) (2023)
Shri Prakash Dwivedi, Vishal Srivastava, Umesh Gupta
Graph Similarity Using Tree Edit Distance. S+SSPR (2022)
Umesh Gupta, Deepak Gupta
Bipolar fuzzy based least squares twin bounded support vector machine. Fuzzy Sets Syst. 449 (2022)
Sanjeev Kumar, Suneet K. Gupta, Manjit Kaur, Umesh Gupta
VI-NET: A hybrid deep convolutional neural network using VGG and inception V3 model for copy-move forgery classification. J. Vis. Commun. Image Represent. 89 (2022)
Umesh Gupta, Deepak Gupta
Kernel-Target Alignment Based Fuzzy Lagrangian Twin Bounded Support Vector Machine. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 29 (5) (2021)
Umesh Gupta, Deepak Gupta
On Regularization Based Twin Support Vector Regression with Huber Loss. Neural Process. Lett. 53 (1) (2021)
Deepak Gupta, Ambika Choudhury, Umesh Gupta, Priyanka Singh, Mukesh Prasad
Computational approach to clinical diagnosis of diabetes disease: a comparative study. Multim. Tools Appl. 80 (20) (2021)
Umesh Gupta, Deepak Gupta
Least squares large margin distribution machine for regression. Appl. Intell. 51 (10) (2021)
Deepak Gupta, Umesh Gupta
On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function. Appl. Soft Comput. 102 (2021)
Umesh Gupta, Deepak Gupta
Regularized based implicit Lagrangian twin extreme learning machine in primal for pattern classification. Int. J. Mach. Learn. Cybern. 12 (5) (2021)
Umesh Gupta, Deepak Gupta
An improved regularization based Lagrangian asymmetric ν-twin support vector regression using pinball loss function. Appl. Intell. 49 (10) (2019)
Umesh Gupta, Deepak Gupta, Mukesh Prasad
Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine. SSCI (2018)
Ashutosh Kumar Dubey, Umesh Gupta, Sonal Jain
Analysis of k-means clustering approach on the breast cancer Wisconsin dataset. Int. J. Comput. Assist. Radiol. Surg. 11 (11) (2016)
Yash Ukidave, David R. Kaeli, Umesh Gupta, Kurt Keville
Performance of the NVIDIA Jetson TK1 in HPC. CLUSTER (2015)
Ashutosh Kumar Dubey, Umesh Gupta, Sonal Jain
A Survey on Breast Cancer Scenario and Prediction Strategy. FICTA (1) (2014)
Umesh Gupta, Devender Singh Hada, Ankita Mathur
An Efficient Solution to a Multiple Non-Linear Regression Model with Interaction Effect using TORA and LINDO. SocProS (2012)
Yanfang Ye, Tao Li, Shenghuo Zhu, Weiwei Zhuang, Egemen Tas, Umesh Gupta, Melih Abdulhayoglu
Combining file content and file relations for cloud based malware detection. KDD (2011)