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Found 3 papers, 1 papers with code
COVID-19 South African Vaccine Hesitancy Models Show Boost in Performance Upon Fine-Tuning on M-pox Tweets
Very large numbers of M-pox cases have, since the start of May 2022, been reported in non-endemic countries leading many to fear that the M-pox Outbreak would rapidly transition into another pandemic, while the COVID-19 pandemic ravages on.
Detecting the Presence of COVID-19 Vaccination Hesitancy from South African Twitter Data Using Machine Learning
The pre-processing of the tweets in our dataset was performed using both methods, respectively.
'Deep' Dive into $b \to c$ Anomalies: Standardized and Future-proof Model Selection Using Self-normalizing Neural Networks
Noting the erroneous proclivity of information-theoretic approaches, like the Akaike information criterion (AIC), to select simpler models while performing model selection with a small sample size, we address the problem of new physics model selection in $b\to c \tau \nu_{\tau}$ decays in this paper by employing a specific machine learning algorithm (self-normalizing neural networks, a. k. a.
High Energy Physics - Phenomenology High Energy Physics - Experiment High Energy Physics - Lattice Data Analysis, Statistics and Probability
