| imputeTS: Time Series Missing Value Imputation in R S Moritz, T Bartz-Beielstein The R Journal 9 (1), 207--218, 2017 | 975 | 2017 |
| Comparison of different methods for univariate time series imputation in R S Moritz, A Sardá, T Bartz-Beielstein, M Zaefferer, J Stork arXiv preprint arXiv:1510.03924, 2015 | 233 | 2015 |
| Ridge: Ridge Regression with Automatic Selection of the Penalty Parameter; 2019 E Cule, S Moritz, D Frankowski URL http://CRAN. R-project. org/package= ridge. R package version, 2.1-2, 2019 | 53* | 2019 |
| Package ‘imputeTS’ S Moritz, S Gatscha, E Wang, R Hause https://cran.r-project.org/web/packages/imputeTS/, 2022 | 35* | 2022 |
| A novel dynamic multi-criteria ensemble selection mechanism applied to drinking water quality anomaly detection VHA Ribeiro, S Moritz, F Rehbach, G Reynoso-Meza Science of The Total Environment 749, 142368, 2020 | 22 | 2020 |
| imputeR: A general multivariate imputation framework L Feng, S Moritz, G Nowak, AH Welsh, TJ O’Neill R package version 2, 2020 | 16 | 2020 |
| Data Preprocessing: A New Algorithm for Univariate Imputation Designed Specifically for Industrial Needs S Chandrasekaran, M Zaefferer, S Moritz, J Stork, M Friese, A Fischbach, ... | 16 | 2016 |
| GECCO Industrial Challenge 2018 Dataset: A water quality dataset for the ‘Internet of Things: Online Anomaly Detection for Drinking Water Quality’competition at the Genetic and … S Moritz, F Rehbach, S Chandrasekaran, M Rebolledo, T Bartz-Beielstein Kyoto, Japan, 2018 | 13 | 2018 |
| GECCO 2018 Industrial Challenge: Monitoring of drinking-water quality F Rehbach, S Moritz, S Chandrasekaran, M Rebolledo, M Friese, ... | 9 | 2018 |
| Comparison of different methods for univariate time series imputation in R M Steffen, A Sardá, T Artz-Beielstein, M Zaefferer, J Strok Cologne University of Applied Science, 1-20, 2015 | 8 | 2015 |
| Does imputation work for improvement of domestic hot water usage prediction S Moritz, T Bartz-Beielstein, O Mersmann, M Zaefferer, J Stork Proceedings. 24. Workshop Computational Intelligence, Dortmund, 27.-28 …, 2014 | 1 | 2014 |
| Praxisanwendungen S Moritz, F Dumpert, T Bartz-Beielstein, E Bartz Online Machine Learning: Eine praxisorientierte Einführung, 75-94, 2024 | | 2024 |
| Practical Applications of Online Machine Learning S Moritz, F Dumpert, C Jung, T Bartz-Beielstein, E Bartz Online Machine Learning: A Practical Guide with Examples in Python, 71-96, 2024 | | 2024 |
| Prognose der Abgabequote von Einkommensteuererklärungen bei Rentnerinnen und Rentnern: Machbarkeitsstudie zur Beschleunigung der Veröffentlichung von statistischen Ergebnissen … S Moritz, F Wiynck, J Wiebels WISTA-Wirtschaft und Statistik 76 (2), 83-96, 2024 | | 2024 |
| Trinkwasser-Sicherheit mit Predictive Analytics und Oracle S Moritz, T Bartz-Beielstein, J Strohschein, R Seger, D Gross | | 2017 |
| Trinkwasser-Sicherheit mit Predictive Analytics und Oracle T Bartz-Beielstein, S Moritz, J Strohschein | | |
