Papers: 10.1371/journal.pone.0235144

https://doi.org/10.1371/journal.pone.0235144

A novel scaling methodology to reduce the biases associated with missing data from commercial activity monitors

Cited by: 6
Author(s): Ruairi O’Driscoll, Jake Turicchi, Cristiana Duarte, Joanna Michałowska, Sofus C. Larsen, António Labisa Palmeira, Berit Lilienthal Heitmann, Graham Horgan, R. James Stubbs
Published: about 6 years ago

Software Mentions 4

cran: Hmisc
Harrell Miscellaneous
Papers that mentioned: 1,000
Very Likely Science (75)
cran: imputeTS
Time Series Missing Value Imputation
Papers that mentioned: 18
Very Likely Science (100)
cran: missForest
Nonparametric Missing Value Imputation using Random Forest
Papers that mentioned: 178
Very Likely Science (100)
pypi: Kalman
Kalman Filters
Papers that mentioned: 8
Very Likely Science (85)