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Nikolaos Kourentzes
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2020 – today
- 2024
- [j12]Ivan Svetunkov
, Nikolaos Kourentzes, Rebecca Killick:
Multi-step estimators and shrinkage effect in time series models. Comput. Stat. 39(3): 1203-1239 (2024) - 2023
- [j11]Anna Sroginis, Robert Fildes, Nikolaos Kourentzes
Use of contextual and model-based information in adjusting promotional forecasts. Eur. J. Oper. Res. 307(3): 1177-1191 (2023) - 2021
- [j10]Nikolaos Kourentzes
Elucidate structure in intermittent demand series. Eur. J. Oper. Res. 288(1): 141-152 (2021) - 2020
- [j9]Devon K. Barrow
Automatic robust estimation for exponential smoothing: Perspectives from statistics and machine learning. Expert Syst. Appl. 160: 113637 (2020) - [i1]Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Souhaib Ben Taieb, Christoph Bergmeir, Ricardo J. Bessa, Jakub Bijak, John E. Boylan, Jethro Browell, Claudio Carnevale, Jennifer L. Castle, Pasquale Cirillo, Michael P. Clements, Clara Cordeiro
Forecasting: theory and practice. CoRR abs/2012.03854 (2020)
2010 – 2019
- 2018
- [j8]Yves R. Sagaert
Tactical sales forecasting using a very large set of macroeconomic indicators. Eur. J. Oper. Res. 264(2): 558-569 (2018) - [j7]Devon K. Barrow
The impact of special days in call arrivals forecasting: A neural network approach to modelling special days. Eur. J. Oper. Res. 264(3): 967-977 (2018) - [j6]Yves R. Sagaert
Temporal Big Data for Tactical Sales Forecasting in the Tire Industry. Interfaces 48(2): 121-129 (2018) - 2017
- [j5]George Athanasopoulos
Forecasting with temporal hierarchies. Eur. J. Oper. Res. 262(1): 60-74 (2017) - [c10]Liu Liu, Patrick Stacey, Monideepa Tarafdar, Nikolaos Kourentzes:
Simplifying Fitness Games for Users with Learning Disabilities. HICSS 2017: 1-10 - 2015
- [j4]Juan R. Trapero
On the identification of sales forecasting models in the presence of promotions. J. Oper. Res. Soc. 66(2): 299-307 (2015) - [j3]Fotios Petropoulos
Forecast combinations for intermittent demand. J. Oper. Res. Soc. 66(6): 914-924 (2015) - 2014
- [j2]Nikolaos Kourentzes
Neural network ensemble operators for time series forecasting. Expert Syst. Appl. 41(9): 4235-4244 (2014) - 2012
- [c9]Nikolaos Kourentzes
Data driven fitting sample selection for time series forecasting with neural networks. IJCNN 2012: 1-8 - 2011
- [c8]Nikolaos Kourentzes
Semi-supervised monitoring of electric load time series for unusual patterns. IJCNN 2011: 2852-2859 - [c7]Sven F. Crone
The impact of preprocessing on forecasting electrical load: An empirical evaluation of segmenting time series into subseries. IJCNN 2011: 3285-3292 - 2010
- [j1]Sven F. Crone
Feature selection for time series prediction - A combined filter and wrapper approach for neural networks. Neurocomputing 73(10-12): 1923-1936 (2010) - [c6]Nikolaos Kourentzes, Sven F. Crone:
Inference for Neural Network Predictive Models with Impulse Interventions. DMIN 2010: 273-279 - [c5]Devon K. Barrow
An evaluation of neural network ensembles and model selection for time series prediction. IJCNN 2010: 1-8 - [c4]Sven F. Crone
Naive Support Vector Regression and Multilayer Perceptron benchmarks for the 2010 neural network grand competition (NNGC) on time series prediction. IJCNN 2010: 1-8 - [c3]Nikolaos Kourentzes
Frequency independent automatic input variable selection for Neural Networks for forecasting. IJCNN 2010: 1-8 - [e1]Robert Stahlbock, Sven F. Crone, Mahmoud Abou-Nasr, Hamid R. Arabnia, Nikolaos Kourentzes, Philippe Lenca, Wolfram-Manfred Lippe, Gary M. Weiss:
Proceedings of The 2010 International Conference on Data Mining, DMIN 2010, July 12-15, 2010, Las Vegas, Nevada, USA. CSREA Press 2010, ISBN 1-60132-138-4 [contents]
2000 – 2009
- 2009
- [c2]Sven F. Crone, Nikolaos Kourentzes:
Forecasting Seasonal Time Series with Multilayer Perceptrons - An Empirical Evaluation of Input Vector Specifications for Deterministic Seasonality. DMIN 2009: 232-238 - [c1]Sven F. Crone
Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency. IJCNN 2009: 619-626
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