עקוב אחר
Christoph Bergmeir
Christoph Bergmeir
University of Granada
כתובת אימייל מאומתת בדומיין monash.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Recurrent neural networks for time series forecasting: Current status and future directions‏
H Hewamalage, C Bergmeir, K Bandara‏
International Journal of Forecasting 37 (1), 388-427, 2021‏
12462021
On the use of cross-validation for time series predictor evaluation‏
C Bergmeir, JM Benítez‏
Information Sciences 191, 192-213, 2012‏
11582012
Forecasting: theory and practice‏
F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ...‏
International Journal of forecasting 38 (3), 705-871, 2022‏
9242022
A note on the validity of cross-validation for evaluating autoregressive time series prediction‏
C Bergmeir, RJ Hyndman, B Koo‏
Computational Statistics & Data Analysis 120, 70-83, 2018‏
7372018
Actigraph GT3X: validation and determination of physical activity intensity cut points‏
A Santos-Lozano, F Santin-Medeiros, G Cardon, G Torres-Luque, ...‏
Int J Sports Med 10, 0033-1337945, 2013‏
5002013
Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation‏
C Bergmeir, RJ Hyndman, JM Benítez‏
International journal of forecasting 32 (2), 303-312, 2016‏
4302016
Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach‏
K Bandara, C Bergmeir, S Smyl‏
Expert systems with applications 140, 112896, 2020‏
4182020
Neural networks in R using the Stuttgart neural network simulator: RSNNS‏
C Bergmeir, JM Benítez‏
Journal of Statistical Software 46, 1-26, 2012‏
4092012
forecast: Forecasting functions for time series and linear models. R package version 8.12‏
R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...‏
URL: http://pkg. robjhyndman. com/forecast, 2020‏
3902020
frbs: Fuzzy rule-based systems for classification and regression in R‏
LS Riza, C Bergmeir, F Herrera, JM Benítez‏
Journal of statistical software 65, 1-30, 2015‏
2442015
Sales demand forecast in e-commerce using a long short-term memory neural network methodology‏
K Bandara, P Shi, C Bergmeir, H Hewamalage, Q Tran, B Seaman‏
Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019‏
2242019
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets”‏
LS Riza, A Janusz, C Bergmeir, C Cornelis, F Herrera, D Śle, JM Benítez‏
Information sciences 287, 68-89, 2014‏
2162014
LSTM-MSNet: Leveraging forecasts on sets of related time series with multiple seasonal patterns‏
K Bandara, C Bergmeir, H Hewamalage‏
IEEE transactions on neural networks and learning systems 32 (4), 1586-1599, 2020‏
2002020
Monash time series forecasting archive‏
R Godahewa, C Bergmeir, GI Webb, RJ Hyndman, P Montero-Manso‏
arXiv preprint arXiv:2105.06643, 2021‏
1912021
Package ‘forecast’‏
RJ Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...‏
Online] https://cran. r-project. org/web/packages/forecast/forecast. pdf, 2020‏
1892020
Exploring the sources of uncertainty: Why does bagging for time series forecasting work?‏
F Petropoulos, RJ Hyndman, C Bergmeir‏
European Journal of Operational Research 268 (2), 545-554, 2018‏
1872018
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification‏
CW Tan, A Dempster, C Bergmeir, GI Webb‏
Data Mining and Knowledge Discovery 36 (5), 1623-1646, 2022‏
1742022
Neuralprophet: Explainable forecasting at scale‏
O Triebe, H Hewamalage, P Pilyugina, N Laptev, C Bergmeir, ...‏
arXiv preprint arXiv:2111.15397, 2021‏
1732021
Forecasting functions for time series and linear models‏
R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...‏
R package version 6, 2015‏
1692015
Segmentation of cervical cell nuclei in high-resolution microscopic images: a new algorithm and a web-based software framework‏
C Bergmeir, MG Silvente, JM Benítez‏
Computer methods and programs in biomedicine 107 (3), 497-512, 2012‏
1512012
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מאמרים 1–20