Evaluating the Impact of a Two-Stage Multivariate Data Cleansing Approach to Improve to the Performance of Machine Learning Classifiers: A Case Study in Human Activity Recognition

MLA

Dionicio Neira-Rodado, et al. “Evaluating the Impact of a Two-Stage Multivariate Data Cleansing Approach to Improve to the Performance of Machine Learning Classifiers: A Case Study in Human Activity Recognition.” Sensors, vol. 20, no. 7, Mar. 2020, p. 1858. EBSCOhost, https://doi.org/10.3390/s20071858.

APA

Dionicio Neira-Rodado, Chris Nugent, Ian Cleland, Javier Velasquez, & Amelec Viloria. (2020). Evaluating the Impact of a Two-Stage Multivariate Data Cleansing Approach to Improve to the Performance of Machine Learning Classifiers: A Case Study in Human Activity Recognition. Sensors, 20(7), 1858. https://doi.org/10.3390/s20071858

Chicago

Dionicio Neira-Rodado, Chris Nugent, Ian Cleland, Javier Velasquez, and Amelec Viloria. 2020. “Evaluating the Impact of a Two-Stage Multivariate Data Cleansing Approach to Improve to the Performance of Machine Learning Classifiers: A Case Study in Human Activity Recognition.” Sensors 20 (7): 1858. doi:10.3390/s20071858.