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Professor Nikos Kourentzes

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  1. Unpublished

    Input variable selection for time series forecasting with artificial neural networks: an empirical evaluation across varying time series frequencies

    Kourentzes, N., 20/11/2009, (Unpublished) Lancaster University. 238 p.

    Research output: Thesis › Doctoral Thesis

  2. Published

    Input variable selection for time series prediction with neural networks- an evaluation of visual, autocorrelation and spectral analysis for varying seasonality

    Crone, S. & Kourentzes, N., 2007, The 1st European Symposium on Time Series Prediction, ESTSP'07 (Helsinki, Finland) - 2007. N/A: unknown

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. Published

    Input-variable Specification for Neural Networks - an Analysis of Forecasting low and high Time Series Frequency

    Crone, S. F. & Kourentzes, N., 2009, International Joint Conference on Neural Networks, 2009. IJCNN 2009.. New York: IEEE, p. 3221-3228 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  4. Published

    Intermittent demand forecasts with neural networks

    Kourentzes, N., 05/2013, In: International Journal of Production Economics. 143, 1, p. 198-206 9 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Published

    Judgmental Selection of Forecasting Models

    Petropoulos, F., Kourentzes, N., Nikolopoulos, K. & Siemsen, E., 2018, In: Journal of Operations Management. 60, p. 34-46 13 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  6. Published

    Modelling Deterministic Seasonality with Artificial Neural Networks for Time Series Forecasting

    Kourentzes, N. & Crone, S., 2010, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  7. Published

    Modelling functional outliers for high frequency time series forecasting with neural networks: an empirical evaluation for electricity load data

    Kourentzes, N., 2011, Proceedings of the 2011 International Conference on Data Mining. Stahlbock, R. (ed.). CSREA Press, p. 313-319 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  8. E-pub ahead of print

    Multi-step Estimators and Shrinkage Effect in Time Series Models

    Svetunkov, I., Kourentzes, N. & Killick, R., 24/06/2023, (E-pub ahead of print) In: Computational Statistics.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Published

    Naive Support Vector Regression and Multilayer Perceptron Benchmarks for the 2010 Neural Network Grand Competition (NNGC) on Time Series Prediction

    Crone, S. F. & Kourentzes, N., 2010, The 2010 International Joint Conference on Neural Networks (IJCNN). New York: IEEE, p. - 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  10. Published

    Neural network ensemble operators for time series forecasting

    Kourentzes, N., Barrow, D. & Crone, S., 07/2014, In: Expert Systems with Applications. 41, 9, p. 4235-4244 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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