Forecasting Seasonal Time Series with Multilayer Perceptrons - An Empirical Evaluation of Input Vector Specifications for Deterministic Seasonality. - Sven F. Crone; Nikolaos Kourentzes (DMIN, 2009)

Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency. - Sven F. Crone; Nikolaos Kourentzes (IJCNN, 2009)

Inference for Neural Network Predictive Models with Impulse Interventions. - Nikolaos Kourentzes; Sven F. Crone (DMIN, 2010)

An evaluation of neural network ensembles and model selection for time series prediction. - Devon K. Barrow; Sven F. Crone; Nikolaos Kourentzes (IJCNN, 2010)

Naive Support Vector Regression and Multilayer Perceptron benchmarks for the 2010 neural network grand competition (NNGC) on time series prediction. - Sven F. Crone; Nikolaos Kourentzes (IJCNN, 2010)

Frequency independent automatic input variable selection for Neural Networks for forecasting. - Nikolaos Kourentzes; Sven F. Crone (IJCNN, 2010)

Feature selection for time series prediction - A combined filter and wrapper approach for neural networks. - Sven F. Crone; Nikolaos Kourentzes (Neurocomputing, 2010)

The impact of preprocessing on forecasting electrical load: An empirical evaluation of segmenting time series into subseries. - Sven F. Crone; Nikolaos Kourentzes (IJCNN, 2011)

Semi-supervised monitoring of electric load time series for unusual patterns. - Nikolaos Kourentzes; Sven F. Crone (IJCNN, 2011)

Data driven fitting sample selection for time series forecasting with neural networks. - Nikolaos Kourentzes (IJCNN, 2012)

Neural network ensemble operators for time series forecasting. - Nikolaos Kourentzes; Devon K. Barrow; Sven F. Crone (Expert Syst. Appl., 2014)

Forecast combinations for intermittent demand. - Fotios Petropoulos; Nikolaos Kourentzes (J. Oper. Res. Soc., 2015)

On the identification of sales forecasting models in the presence of promotions. - Juan R. Trapero; Nikolaos Kourentzes; Robert Fildes (J. Oper. Res. Soc., 2015)

Simplifying Fitness Games for Users with Learning Disabilities. - Liu Liu; Patrick Stacey; Monideepa Tarafdar; Nikolaos Kourentzes (HICSS, 2017)

Forecasting with temporal hierarchies. - George Athanasopoulos; Rob J. Hyndman; Nikolaos Kourentzes; Fotios Petropoulos (Eur. J. Oper. Res., 2017)

The impact of special days in call arrivals forecasting: A neural network approach to modelling special days. - Devon K. Barrow; Nikolaos Kourentzes (Eur. J. Oper. Res., 2018)

Tactical sales forecasting using a very large set of macroeconomic indicators. - Yves R. Sagaert; El-Houssaine Aghezzaf; Nikolaos Kourentzes; Bram Desmet (Eur. J. Oper. Res., 2018)

Temporal Big Data for Tactical Sales Forecasting in the Tire Industry. - Yves R. Sagaert; El-Houssaine Aghezzaf; Nikolaos Kourentzes; Bram Desmet (Interfaces, 2018)

Forecasting: theory and practice. - 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; et al. (CoRR, 2020)

Automatic robust estimation for exponential smoothing: Perspectives from statistics and machine learning. - Devon K. Barrow; Nikolaos Kourentzes; Rickard Sandberg; Jacek Niklewski (Expert Syst. Appl., 2020)

Elucidate structure in intermittent demand series. - Nikolaos Kourentzes; George Athanasopoulos (Eur. J. Oper. Res., 2021)

Use of contextual and model-based information in adjusting promotional forecasts. - Anna Sroginis; Robert Fildes; Nikolaos Kourentzes (Eur. J. Oper. Res., 2023)

Multi-step estimators and shrinkage effect in time series models. - Ivan Svetunkov; Nikolaos Kourentzes; Rebecca Killick (Comput. Stat., 2024)