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Saurabh Shrivastava
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2020 – today
- 2024
- [j6]Saurabh Shrivastava, Sanyam Shukla, Nilay Khare:
Support vector machine with eagle loss function. Expert Syst. Appl. 238(Part E): 122168 (2024) - 2023
- [j5]Ajay Kumar, Jitendra Singh, Vikas Kumar, Saurabh Shrivastava:
An Efficient Method to Decide the Malicious Traffic: A Voting-Based Efficient Method. Int. J. Decis. Support Syst. Technol. 15(1): 1-16 (2023) - [j4]Saurabh Shrivastava, Sanyam Shukla, Nilay Khare:
A stable variant of linex loss SVM for handling noise with reduced hyperparameters. Inf. Sci. 646: 119402 (2023) - 2022
- [j3]Mohit Agarwal, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Suneet K. Gupta, Alessandro Carriero, Alessio Pasche, Pietro Danna, Armin Mehmedovic, Gavino Faa, Saurabh Shrivastava, Kanishka Jain, Harsh Jain, Tanay Jujaray, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, David W. Sobel, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Rajanikant R. Yadav, Frence Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra, Jasjit S. Suri:
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0. Comput. Biol. Medicine 146: 105571 (2022) - 2021
- [j2]Saurabh Shrivastava, K. V. Lakshmy, Chungath Srinivasan:
On the Statistical Analysis of ZUC, Espresso and Grain v1. Int. J. Comput. 20(3): 384-390 (2021)
2010 – 2019
- 2017
- [c1]Arpita Das, Saurabh Shrivastava, Manoj Kumar Chinnakotla, Prateek Agrawal, Sandeep Sahoo:
Discovery and Promotion of Subtopic Level High Quality Domains for Programming Queries in Web Search. LEARNER@ICTIR 2017 - 2011
- [j1]Saurabh Shrivastava, Manu Pratap Singh:
Performance evaluation of feed-forward neural network with soft computing techniques for hand written English alphabets. Appl. Soft Comput. 11(1): 1156-1182 (2011)
Coauthor Index
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