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Centre for Marketing Analytics

  1. Conference contribution/Paper
  2. Published

    An Evaluation of Neural Network Ensembles and Model Selection for Time Series Prediction

    Barrow, D. K., Crone, S. F. & Kourentzes, N., 2010, The 2010 International Joint Conference on Neural Networks (IJCNN). New York: IEEE, p. 1-8 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  3. 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/ISSNConference contribution/Paperpeer-review

  4. Published

    A new approach based on artificial neural networks for high order bivariate fuzzy time series

    Egrioglu, E., Uslu, V. R., Yolcu, U., Basaran, M. A. & Hakan, A. C., 1/01/2009, Applications of Soft Computing: From Theory to Praxis. Springer-Verlag, p. 265-273 9 p. (Advances in Intelligent and Soft Computing; vol. 58).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  5. 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/ISSNConference contribution/Paperpeer-review

  6. Published

    Forecasting software visualizations: an explorative study

    Asimakopoulos, S., Fildes, R. A. & Dix, A., 2009, 23rd British HCI Conference (Cambridge) - 2009. N/A: unknown

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  7. 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/ISSNConference contribution/Paperpeer-review

  8. 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/ISSNConference contribution/Paperpeer-review

  9. 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/ISSNConference contribution/Paperpeer-review

  10. Published

    Dynamic multi-armed bandit with covariates

    Pavlidis, N., Tasoulis, D. K., Adams, N. M. & Hand, D. J., 2008, 18th European Conference on Artificial Intelligence (Greece) 2008. N/A: unknown

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  11. Published

    Recognizing predictive patterns in chaotic maps

    Pavlidis, N., Adamopoulos, A. V. & Vrahatis, M. N., 2008, 18th European Conference on Artificial Intelligence (Greece) 2008. N/A: unknown

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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