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ORCIDNikolaos 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, George Athanasopoulos:
Elucidate structure in intermittent demand series. Eur. J. Oper. Res. 288(1): 141-152 (2021) - 2020
- [j9]Devon K. Barrow, Nikolaos Kourentzes, Rickard Sandberg, Jacek Niklewski:
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, Fernando Luiz Cyrino Oliveira, Shari De Baets, Alexander Dokumentov, Joanne Ellison, Piotr Fiszeder, Philip Hans Franses, David T. Frazier, Michael Gilliland, Mustafa Sinan Gönül, Paul Goodwin, Luigi Grossi, Yael Grushka-Cockayne, Mariangela Guidolin, Massimo Guidolin, Ulrich Gunter, Xiaojia Guo, Renato Guseo, Nigel Harvey, David F. Hendry, Ross Hollyman, Tim Januschowski, Jooyoung Jeon, Victor Richmond R. Jose, Yanfei Kang, Anne B. Koehler, Stephan Kolassa, Nikolaos Kourentzes, Sonia Leva, Feng Li:
Forecasting: theory and practice. CoRR abs/2012.03854 (2020)
2010 – 2019
- 2018
- [j8]Yves R. Sagaert, El-Houssaine Aghezzaf, Nikolaos Kourentzes, Bram Desmet:
Tactical sales forecasting using a very large set of macroeconomic indicators. Eur. J. Oper. Res. 264(2): 558-569 (2018) - [j7]Devon K. Barrow, Nikolaos Kourentzes:
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, El-Houssaine Aghezzaf, Nikolaos Kourentzes, Bram Desmet:
Temporal Big Data for Tactical Sales Forecasting in the Tire Industry. Interfaces 48(2): 121-129 (2018) - 2017
- [j5]George Athanasopoulos, Rob J. Hyndman, Nikolaos Kourentzes, Fotios Petropoulos:
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, Nikolaos Kourentzes, Robert Fildes:
On the identification of sales forecasting models in the presence of promotions. J. Oper. Res. Soc. 66(2): 299-307 (2015) - [j3]Fotios Petropoulos, Nikolaos Kourentzes:
Forecast combinations for intermittent demand. J. Oper. Res. Soc. 66(6): 914-924 (2015) - 2014
- [j2]Nikolaos Kourentzes, Devon K. Barrow, Sven F. Crone:
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, Sven F. Crone:
Semi-supervised monitoring of electric load time series for unusual patterns. IJCNN 2011: 2852-2859 - [c7]Sven F. Crone, Nikolaos Kourentzes:
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, Nikolaos Kourentzes:
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, Sven F. Crone, Nikolaos Kourentzes:
An evaluation of neural network ensembles and model selection for time series prediction. IJCNN 2010: 1-8 - [c4]Sven F. Crone, Nikolaos Kourentzes:
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, Sven F. Crone:
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, Nikolaos Kourentzes:
Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency. IJCNN 2009: 619-626
Coauthor Index
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