Sayar Karmakar

Orcid: 0000-0002-4841-2069

According to our database1, Sayar Karmakar authored at least 11 papers between 2020 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
An NLP-assisted Bayesian time-series analysis for prevalence of Twitter cyberbullying during the COVID-19 pandemic.
Soc. Netw. Anal. Min., December, 2023

A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States.
Comput. Stat. Data Anal., December, 2023

Depth-2 neural networks under a data-poisoning attack.
Neurocomputing, May, 2023

2022
Provable training of a ReLU gate with an iterative non-gradient algorithm.
Neural Networks, 2022

Capacity Bounds for the DeepONet Method of Solving Differential Equations.
CoRR, 2022

An Empirical Study of the Occurrence of Heavy-Tails in Training a ReLU Gate.
CoRR, 2022

2021
Shrinkage estimation with singular priors and an application to small area estimation.
J. Multivar. Anal., 2021

Time Series-Based Malware Detection Using Hardware Performance Counters.
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2021

Understanding the Rise of Twitter-based cyberbullying due to COVID-19 through comprehensive statistical evaluation.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020
Change-Point Analysis of Cyberbullying-Related Twitter Discussions During COVID-19.
CoRR, 2020

Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis.
Proceedings of the EICC 2020: European Interdisciplinary Cybersecurity Conference, 2020


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