Home > Research > Researchers > Professor Nikos Kourentzes > Publications

Research

Professor Nikos Kourentzes

Professor

61 - 70 out of 71Page size: 10
RSS feed of this list
  1. 2010
  2. Published

    Inference for Neural Network Predictive Models with Impulse Interventions

    Kourentzes, N. & Crone, S., 2010, International Conference on Data Mining (Las Vegas) - 2010. Stahlbock, R., Crone, S. F., Abou-Nasr, M., Arabnia, H. R., Kourentzes, N., Lenca, P., Lippe, W-M. & Weiss, G. M. (eds.). CSREA Press, p. 273-279 7 p.

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

  3. 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

  4. 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

  5. Published

    Proceedings of the 2010 International Conference on Data Mining

    Stahlbock, R. (ed.), Crone, S. (ed.), Abou-Nasr, M. (ed.), Arabnia, H. R. (ed.), Kourentzes, N. (ed.), Lenca, P. (ed.), Lippe, W-M. (ed.) & Weiss, G. M. (ed.), 2010, CSREA Press.

    Research output: Book/Report/Proceedings › Proceedings

  6. Published

    Validation in models of climate change and forecasting accuracy

    Fildes, R. A. & Kourentzes, N., 2010, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  7. 2009
  8. Unpublished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    Kourentzes, N., 20/11/2009, (Unpublished) Lancaster University. 238 p.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

  9. Published

    Forecasting seasonal time series with multilayer perceptrons - an empirical evaluation of input vector specifications for deterministic seasonality

    Crone, S. & Kourentzes, N., 2009, Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA. . Stahlbock, R., Crone, S. F. & Lessmann, S. (eds.). CSREA Press, p. 232-238 7 p.

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

  10. 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

  11. 2008
  12. Published

    Automatic modelling of neural networks for time series prediction - in search of a uniform methodology across varying time frequencies

    Kourentzes, N. & Crone, S., 2008, 2nd European Symposium on Time Series Prediction (Helsinki) - 2008. N/A: unknown

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

  13. Published

    Forecasting high-frequency time series with neural networks - an analysis of modelling challenges from increasing data frequency

    Crone, S. & Kourentzes, N., 2008, International Conference on Data Mining (Las Vegas) - 2008. Stahlbock, R., Crone, S. F. & Lessmann, S. (eds.). CSREA Press

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

Previous 1...3 4 5 6 7 8 Next

Back to top