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Journal Articles
- 2024
[j2]Aris Duani Rojas
, Leonel E. Lagos, Himanshu Upadhyay, Jayesh Soni, Nagarajan Prabakar:
AI-based detection and identification of low-level nuclear waste: a comparative analysis. Neural Comput. Appl. 36(33): 21061-21072 (2024)- 2021
- [j1]Punit Rathore, Jayesh Soni, Nagarajan Prabakar, Marimuthu Palaniswami, Paolo Santi:
Identifying Groups of Fake Reviewers Using a Semisupervised Approach. IEEE Trans. Comput. Soc. Syst. 8(6): 1369-1378 (2021)
Conference and Workshop Papers
- 2023
- [c6]Jayesh Soni, Nagarajan Prabakar, Himanshu Upadhyay:
Vision Transformer-Based Emotion Detection in HCI for Enhanced Interaction. IHCI (1) 2023: 76-86 - 2022
- [c5]Jayesh Soni, Nagarajan Prabakar, Himanshu Upadhyay:
Ada-Thres: An Adaptive Thresholding Method To Mitigate The False Alarms. CSCI 2022: 916-921 - [c4]Jayesh Soni, Nagarajan Prabakar, Himanshu Upadhyay:
A Multi-layered Deep Learning Approach for Human Stress Detection. ICHI 2022: 7-17 - 2021
- [c3]Jayesh Soni, Nagarajan Prabakar:
KeyNet: Enhancing Cybersecurity with Deep Learning-Based LSTM on Keystroke Dynamics for Authentication. ICHI 2021: 761-771 - 2020
- [c2]Surya Srikar Sirigineedi, Jayesh Soni, Himanshu Upadhyay:
Learning-based models to detect runtime phishing activities using URLs. ICCDA 2020: 102-106 - 2019
- [c1]Jayesh Soni, Nagarajan Prabakar, Himanshu Upadhyay:
Deep learning approach to detect malicious attacks at system level: poster. WiSec 2019: 314-315
Coauthor Index
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