Piyush Vyas
Orcid: 0000-0002-0918-5334
According to our database1,
Piyush Vyas
authored at least 16 papers
between 2020 and 2024.
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Bibliography
2024
Real-Time Fake News Detection on the X (Twitter): An Online Machine Learning Approach.
Proceedings of the 30th Americas Conference on Information Systems: Elevating Life through Digital Social Entrepreneurship, 2024
2023
RUemo - The Classification Framework for Russia-Ukraine War-Related Societal Emotions on Twitter through Machine Learning.
Algorithms, February, 2023
Intelligent Fog Computing Surveillance System for Crime and Vulnerability Identification and Tracing.
Int. J. Inf. Secur. Priv., 2023
Advances in Cybercrime Prediction: A Survey of Machine, Deep, Transfer, and Adaptive Learning Techniques.
CoRR, 2023
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions.
IEEE Access, 2023
Proceedings of the 29th Americas Conference on Information Systems, 2023
Studying the Relationship Between Timely and Effective Care, Preventive Care, and Patient Hospital Recommendation.
Proceedings of the 29th Americas Conference on Information Systems, 2023
2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Classification of COVID-19 Cases: The Customized Deep Convolutional Neural Network and Transfer Learning Approach.
Proceedings of the 28th Americas Conference on Information Systems, 2022
2021
Optimally Encoding Inductive Biases into the Transformer Improves End-to-End Speech Translation.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
An End-To-End Non-Intrusive Model for Subjective and Objective Real-World Speech Assessment Using a Multi-Task Framework.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 27th Americas Conference on Information Systems, 2021
An LSTM Based Approach for the Classification of Customer Reviews: An Exploratory Study.
Proceedings of the 27th Americas Conference on Information Systems, 2021
Prediction of Patient Willingness to Recommend Hospital: A Machine Learning-Based Exploratory Study.
Proceedings of the 27th Americas Conference on Information Systems, 2021
2020
Proceedings of the 26th Americas Conference on Information Systems, 2020