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Dr Sven Crone

Lecturer, Director

  1. 2019
  2. Published

    Automatic time series analysis for electric load forecasting via support vector regression

    Maldonado, S., González, A. & Crone, S., 1/10/2019, In: Applied Soft Computing Journal. 83, 9 p., 105616.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. 2016
  4. Feature selection of autoregressive Neural Network inputs for trend Time Series Forecasting

    Crone, S. F. & Häger, S., 31/10/2016, 2016 International Joint Conference on Neural Networks, IJCNN 2016. Institute of Electrical and Electronics Engineers Inc., p. 1515-1522 8 p. 7727378. (Proceedings of the International Joint Conference on Neural Networks; vol. 2016-October).

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

  5. Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data

    Kuck, M., Crone, S. F. & Freitag, M., 31/10/2016, 2016 International Joint Conference on Neural Networks, IJCNN 2016. Institute of Electrical and Electronics Engineers Inc., p. 1499-1506 8 p. 7727376. (Proceedings of the International Joint Conference on Neural Networks; vol. 2016-October).

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

  6. Published

    A comparison of AdaBoost algorithms for time series forecast combination

    Barrow, D. K. & Crone, S. F. W. M., 1/10/2016, In: International Journal of Forecasting. 32, 4, p. 1103-1119 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Published

    Cross-validation aggregation for combining autoregressive neural network forecasts

    Barrow, D. K. & Crone, S. F. W. M., 1/10/2016, In: International Journal of Forecasting. 32, 4, p. 1120-1137 18 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Published

    The effect of data preprocessing on a retail price optimization system

    Kunz, T. P., Crone, S. F. W. M. & Meissner, J., 04/2016, In: Decision Support Systems. 84, p. 16-27 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. 2015
  10. Published

    The impact of practitioner business rules on the optimality of a static retail revenue management system

    Kunz, T. P. & Crone, S. F. W. M., 06/2015, In: Journal of Revenue and Pricing Management. 14, 3, p. 198-210 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. 2014
  12. Predicting exchange rates with sentiment indicators: An empirical evaluation using text mining and multilayer perceptrons

    Crone, S. F. & Koeppel, C., 14/10/2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering and Economics, CIFEr Proceedings. Serguieva, A., Maringer, D., Palade, V. & Almeida, R. J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 114-121 8 p. 6924062. (IEEE/IAFE Conference on Computational Intelligence for Financial Engineering, Proceedings (CIFEr)).

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

  13. Published

    Corrigendum to "Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction" [Int. J. Forecast. 27 (2011) 635-660] 10.1016/j.ijforecast.2011.04.001.

    Crone, S. F., Hibon, M. & Nikolopoulos, K., 1/10/2014, In: International Journal of Forecasting. 30, 4, p. 1138 1 p.

    Research output: Contribution to Journal/MagazineComment/debatepeer-review

  14. 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/MagazineJournal articlepeer-review

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