Sayar Karmakar - researchr alias

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Viewing Publication 1 - 8 from 8

2023

A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United StatesSoudeep Deb, Sayar Karmakar. csda, 188:107810, December 2023. [doi]

Depth-2 neural networks under a data-poisoning attackSayar Karmakar, Anirbit Mukherjee, Theodore Papamarkou. ijon, 532:56-66, May 2023. [doi]

An NLP-assisted Bayesian time-series analysis for prevalence of Twitter cyberbullying during the COVID-19 pandemicChristopher Perez, Sayar Karmakar. snam, 13(1):51, December 2023. [doi]

2022

Provable training of a ReLU gate with an iterative non-gradient algorithmSayar Karmakar, Anirbit Mukherjee. NN, 151:264-275, 2022. [doi]

2021

Understanding the Rise of Twitter-based cyberbullying due to COVID-19 through comprehensive statistical evaluationSayar Karmakar, Sanchari Das. hicss 2021: 1-11 [doi]

Time Series-Based Malware Detection Using Hardware Performance CountersAbraham Peedikayil Kuruvila, Sayar Karmakar, Kanad Basu. host 2021: 102-112 [doi]

Shrinkage estimation with singular priors and an application to small area estimationRyumei Nakada, Tatsuya Kubokawa, Malay Ghosh, Sayar Karmakar. ma, 183:104726, 2021. [doi]

2020

Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend AnalysisSayar Karmakar, Sanchari Das. eicc 2020: [doi]

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