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Research

Results for Neural Networks

Publications & Outputs

  1. The impact of special days in call arrivals forecasting: a neural network approach to modelling special days

    Barrow, D. K. & Kourentzes, N., 1/02/2018, In: European Journal of Operational Research. 264, 3, p. 967-977 11 p.

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

  2. Non-linearities in financial bubbles: theory and Bayesian evidence from S&P500

    Michaelides, P. G., Tsionas, E. & Konstantakis, K. N., 06/2016, In: Journal of Financial Stability. 24, p. 61-70 10 p.

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

  3. Neural network based real-time pricing in demand side management for future smart grid

    Gelazanskas, L. & Gamage, K., 10/04/2015, Power Electronics, Machines and Drives (PEMD 2014), 7th IET International Conference on. IEEE, p. 1-5 5 p.

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

  4. 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

  5. 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

  6. A neural network approach for the Theta model

    Constantinidou, C., Nikolopoulos, K., Bougioukos, N., Tsiafa, E., Petropoulos, F. & Assimakopoulos, V., 2012, In: Lecture Notes in Information Technology. 25, p. 116-120 5 p.

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

  7. Impact of Information Exchange on Supplier Forecasting Performance

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

    Research output: Working paper

  8. Financial forecasting through unsupervised clustering and neural networks

    Pavlidis, N., Plagianakos, V. P., Tasoulis, D. K. & Vrahatis, M. N., 05/2006, In: Operational Research. 6, 2, p. 103-127 25 p.

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

  9. Options trading driven by volatility directional accuracy

    Maris, K., Nikolopoulos, K., Giannelos, K. & Assimakopoulos, V., 01/2006, In: Emerald Management Reviews. 39, 1, p. 253-260 8 p.

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