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Piyush Vyas
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2020 – today
- 2024
- [c11]Piyush Vyas, Jun Liu, Shengjie Xu:
Real-Time Fake News Detection on the X (Twitter): An Online Machine Learning Approach. AMCIS 2024 - 2023
- [j3]Varun Mandalapu
, Lavanya Elluri
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions. IEEE Access 11: 60153-60170 (2023) - [j2]Piyush Vyas
RUemo - The Classification Framework for Russia-Ukraine War-Related Societal Emotions on Twitter through Machine Learning. Algorithms 16(2): 69 (2023) - [j1]Romil Rawat, Rajesh Kumar Chakrawarti, Piyush Vyas
Intelligent Fog Computing Surveillance System for Crime and Vulnerability Identification and Tracing. Int. J. Inf. Secur. Priv. 17(1): 1-25 (2023) - [c10]Piyush Vyas, Martinson Ofori, Insu Park, Prathamesh Muzumdar, Ganga Prasad Basyal:
Studying the Relationship Between Timely and Effective Care, Preventive Care, and Patient Hospital Recommendation. AMCIS 2023 - [c9]Piyush Vyas, Gitika Vyas, Anitha Chennamaneni:
Detection of Malicious Bots on Twitter through BERT Embeddings-based Technique. AMCIS 2023 - [i3]Varun Mandalapu, Lavanya Elluri
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions. CoRR abs/2303.16310 (2023) - [i2]Lavanya Elluri
Advances in Cybercrime Prediction: A Survey of Machine, Deep, Transfer, and Adaptive Learning Techniques. CoRR abs/2304.04819 (2023) - [i1]Piyush Vyas, Akhilesh Chauhan, Tushar Mandge, Surbhi Hardikar:
web crawler strategies for web pages under robot.txt restriction. CoRR abs/2308.04689 (2023) - 2022
- [c8]Piyush Vyas, Kaushik Nagarajan Muthusamy Ragothaman, Akhilesh Chauhan, Bhaskar Prasad Rimal:
Classification of COVID-19 Cases: The Customized Deep Convolutional Neural Network and Transfer Learning Approach. AMCIS 2022 - [c7]Raphael Tang, Karun Kumar, Ji Xin, Piyush Vyas, Wenyan Li, Gefei Yang, Yajie Mao, G. Craig Murray, Jimmy Lin:
Temporal Early Exiting for Streaming Speech Commands Recognition. ICASSP 2022: 7567-7571 - 2021
- [c6]Piyush Vyas, Giridhar Reddy Bojja, Loknath Sai Ambati, Jun Liu, Martinson Ofori:
Prediction of Patient Willingness to Recommend Hospital: A Machine Learning-Based Exploratory Study. AMCIS 2021 - [c5]Piyush Vyas, Jun Liu, Akhilesh Chauhan:
An LSTM Based Approach for the Classification of Customer Reviews: An Exploratory Study. AMCIS 2021 - [c4]Piyush Vyas, Jun Liu, Omar F. El-Gayar:
Fake News Detection on the Web: An LSTM-based Approach. AMCIS 2021 - [c3]Zhuohuang Zhang, Piyush Vyas, Xuan Dong, Donald S. Williamson
An End-To-End Non-Intrusive Model for Subjective and Objective Real-World Speech Assessment Using a Multi-Task Framework. ICASSP 2021: 316-320 - [c2]Piyush Vyas, Anastasia Kuznetsova, Donald S. Williamson
Optimally Encoding Inductive Biases into the Transformer Improves End-to-End Speech Translation. Interspeech 2021: 2287-2291 - 2020
- [c1]Piyush Vyas, Omar F. El-Gayar:
Credibility Analysis of News on Twitter using LSTM: An exploratory study. AMCIS 2020
Coauthor Index
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