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2020 – today
- 2024
[j15]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: 104419 (2024)- [j14]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): 22119-22151 (2024) - 2023
- [j13]Umesh Gupta, Deepak Gupta:
Least squares structural twin bounded support vector machine on class scatter. Appl. Intell. 53(12): 15321-15351 (2023) - [j12]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: 110534 (2023) - [j11]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): 6029-6040 (2023) - [c8]Shivamshu Roy, Vimal Kumar, Umesh Gupta:
Improving Stock Market Forecasting Using Advanced Time Series Analysis Techniques. CVMI 2023: 1-6 - [c7]Dibyanarayan Hazra, Suneet Kumar Gupta, Umesh Gupta, Mohit Agarwal:
Generalized framework using Federated Learning for tomato disease classification over unbalanced dataset. ICCTA 2023: 67-71 - 2022
- [j10]Umesh Gupta, Deepak Gupta:
Bipolar fuzzy based least squares twin bounded support vector machine. Fuzzy Sets Syst. 449: 120-161 (2022) - [j9]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: 103644 (2022) - [c6]Shri Prakash Dwivedi, Vishal Srivastava, Umesh Gupta:
Graph Similarity Using Tree Edit Distance. S+SSPR 2022: 233-241 - 2021
- [j8]Umesh Gupta, Deepak Gupta:
Least squares large margin distribution machine for regression. Appl. Intell. 51(10): 7058-7093 (2021) - [j7]Deepak Gupta, Umesh Gupta:
On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function. Appl. Soft Comput. 102: 107099 (2021) - [j6]Umesh Gupta, Deepak Gupta:
Kernel-Target Alignment Based Fuzzy Lagrangian Twin Bounded Support Vector Machine. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 29(5): 677-707 (2021) - [j5]Umesh Gupta, Deepak Gupta:
Regularized based implicit Lagrangian twin extreme learning machine in primal for pattern classification. Int. J. Mach. Learn. Cybern. 12(5): 1311-1342 (2021) - [j4]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): 30091-30116 (2021) - [j3]Umesh Gupta, Deepak Gupta:
On Regularization Based Twin Support Vector Regression with Huber Loss. Neural Process. Lett. 53(1): 459-515 (2021)
2010 – 2019
- 2019
- [j2]Umesh Gupta, Deepak Gupta:
An improved regularization based Lagrangian asymmetric ν-twin support vector regression using pinball loss function. Appl. Intell. 49(10): 3606-3627 (2019) - 2018
- [c5]Umesh Gupta, Deepak Gupta, Mukesh Prasad:
Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine. SSCI 2018: 228-235 - 2016
- [j1]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): 2033-2047 (2016) - 2015
- [c4]Yash Ukidave, David R. Kaeli, Umesh Gupta, Kurt Keville:
Performance of the NVIDIA Jetson TK1 in HPC. CLUSTER 2015: 533-534 - 2014
- [c3]Ashutosh Kumar Dubey, Umesh Gupta, Sonal Jain:
A Survey on Breast Cancer Scenario and Prediction Strategy. FICTA (1) 2014: 367-375 - [e1]B. V. Babu, Atulya Nagar, Kusum Deep, Millie Pant, Jagdish Chand Bansal, Kanad Ray, Umesh Gupta:
Proceedings of the Second International Conference on Soft Computing for Problem Solving, SocProS 2012, December 28-30, 2012, JK Lakshmipat University (JKLU), Jaipur, India. Advances in Intelligent Systems and Computing 236, Springer 2014, ISBN 978-81-322-1601-8 [contents] - 2012
- [c2]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: 345-351 - 2011
- [c1]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: 222-230
Coauthor Index
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