Piyush Vyas

Orcid: 0000-0002-0918-5334

According to our database1, Piyush Vyas authored at least 15 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

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

web crawler strategies for web pages under robot.txt restriction.
CoRR, 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

Detection of Malicious Bots on Twitter through BERT Embeddings-based Technique.
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
Temporal Early Exiting for Streaming Speech Commands Recognition.
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 Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 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

Fake News Detection on the Web: An LSTM-based Approach.
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
Credibility Analysis of News on Twitter using LSTM: An exploratory study.
Proceedings of the 26th Americas Conference on Information Systems, 2020


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