Nikolaos Kourentzes

Orcid: 0000-0003-0211-5218

According to our database1, Nikolaos Kourentzes authored at least 23 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-step estimators and shrinkage effect in time series models.
Comput. Stat., May, 2024

2023
Use of contextual and model-based information in adjusting promotional forecasts.
Eur. J. Oper. Res., June, 2023

2021
Elucidate structure in intermittent demand series.
Eur. J. Oper. Res., 2021

2020
Automatic robust estimation for exponential smoothing: Perspectives from statistics and machine learning.
Expert Syst. Appl., 2020

Forecasting: theory and practice.
CoRR, 2020

2018
Temporal Big Data for Tactical Sales Forecasting in the Tire Industry.
Interfaces, 2018

Tactical sales forecasting using a very large set of macroeconomic indicators.
Eur. J. Oper. Res., 2018

The impact of special days in call arrivals forecasting: A neural network approach to modelling special days.
Eur. J. Oper. Res., 2018

2017
Forecasting with temporal hierarchies.
Eur. J. Oper. Res., 2017

Simplifying Fitness Games for Users with Learning Disabilities.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

2015
On the identification of sales forecasting models in the presence of promotions.
J. Oper. Res. Soc., 2015

Forecast combinations for intermittent demand.
J. Oper. Res. Soc., 2015

2014
Neural network ensemble operators for time series forecasting.
Expert Syst. Appl., 2014

2012
Data driven fitting sample selection for time series forecasting with neural networks.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Semi-supervised monitoring of electric load time series for unusual patterns.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

The impact of preprocessing on forecasting electrical load: An empirical evaluation of segmenting time series into subseries.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Feature selection for time series prediction - A combined filter and wrapper approach for neural networks.
Neurocomputing, 2010

Frequency independent automatic input variable selection for Neural Networks for forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2010

Naive Support Vector Regression and Multilayer Perceptron benchmarks for the 2010 neural network grand competition (NNGC) on time series prediction.
Proceedings of the International Joint Conference on Neural Networks, 2010

An evaluation of neural network ensembles and model selection for time series prediction.
Proceedings of the International Joint Conference on Neural Networks, 2010

Inference for Neural Network Predictive Models with Impulse Interventions.
Proceedings of The 2010 International Conference on Data Mining, 2010

2009
Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency.
Proceedings of the International Joint Conference on Neural Networks, 2009

Forecasting Seasonal Time Series with Multilayer Perceptrons - An Empirical Evaluation of Input Vector Specifications for Deterministic Seasonality.
Proceedings of The 2009 International Conference on Data Mining, 2009


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