Sven Crone - Publications & Outputs - Research Portal

Dr Sven Crone

Lecturer, Director

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Published
A business forecasting competition approach to modeling artificial neural networks for time series prediction
Crone, S., 2004, Proceedings of the International Conference on Artificial Intelligence, IC-AI '04, June 21-24, 2004, Las Vegas, Nevada, USA. Athens: CSREA Press, Vol. 1. p. 207-213 7 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
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/Magazine › Journal article › peer-review
Published
A naïve support vector regression benchmark for the NN3 forecasting competition
Crone, S. & Pietsch, S., 2007, Proceedings of the International Joint Conference on Neural Networks, IJCNN'07 (Orlando, USA) - 2007. N/A: IEEE Computer Society Press
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
A study on the ability of support vector regression and neural networks to forecast basic time series patterns
Crone, S., Guajardo, J. & Weber, R., 2006, Artificial Intelligence in Theory and Practice, Proceedings of the IFIP World Congress in Computation, WCC'06 (Santiago, Chile) - 2006, Springer: New York, Vol. 217, pp.149-158. Berlin: Springer
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
Advances in forecasting with artificial neural networks
Kourentzes, N. & Crone, S., 2010, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).
Research output: Working paper
Published
Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction
Crone, S. F., Hibon, M. & Nikolopoulos, K., 07/2011, In: International Journal of Forecasting. 27, 3, p. 635-660 26 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
An evaluation framework for publications on artificial neural networks in sales forecasting
Crone, S. & Grafeille, P. C., 2004, Proceedings of the International Conference on Artificial Intelligence, IC-AI '04, June 21-24, 2004, Las Vegas, Nevada, USA. Athens: CSREA Press, Vol. 1. p. 221-227 7 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Published
An evaluation of discrete support vector machines for cost-sensitive learning
Lessmann, S., Crone, S., Stahlbock, R. & Zacher, N., 2006, Proceedings of the World Congress in Computational Intelligence, WCCT06 (Vancouver, Canada) - 2006, IEEE: New York. N/A: IEEE Computer Society Press
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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/ISSN › Conference contribution/Paper › peer-review
Published
An extended evaluation framework for neural network publications in sales forecasting
Crone, S. & Prebmar, D., 2006, Proceedings of the International Conference on Applied Artificial Intelligence, AIA'06 (Innsbruck, Austria) - 2006, ACTA Press: Calgary, pp.179-186. N/A: unknown
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
Artificial neural networks for time series prediction - A novel approach to inventory management using asymmetric cost functions
Crone, S., 2003, Proceedings of the International Conference on Artificial Intelligence, IC-AI '03, June 23 - 26, 2003, Las Vegas, Nevada, USA. Athens: CSREA Press, Vol. 1. p. 193-199 7 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
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
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/Magazine › Journal article › peer-review
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/Magazine › Comment/debate › peer-review
Crogging (cross-validation aggregation) for forecasting - A novel algorithm of neural network ensembles on time series subsamples
Barrow, D. K. & Crone, S. F., 9/08/2013, 2013 International Joint Conference on Neural Networks, IJCNN 2013. IEEE, 6706740. (Proceedings of the International Joint Conference on Neural Networks).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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/Magazine › Journal article › peer-review
Published
Data mining and information systems - Quo Vadis?
Stahlbock, R., Lessmann, S. & Crone, S., 2009, In: Annals of Information Systems. 8, XIII, p. 1-18 18 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Demand models for the static retail price optimization problem-A Revenue Management perspective
Kunz, T. P. & Crone, S. F., 4/05/2014, 4th Student Conference on Operational Research, SCOR 2014. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, p. 101-125 25 p. (OpenAccess Series in Informatics; vol. 37).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
Dynamic Model Selection and Combination in Forecasting: an Empirical Evaluation of Bagging and Boosting
Barrow, D. & Crone, S., 2011.
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
Published
Empirical comparison and evaluation of classifier performance for data mining in customer relationship management
Crone, S., Lessmann, S. & Stahlbock, R., 2004, Proceedings of the IEEE International Joint Conference on Neural Networks, IJCNN'04 Budapest, Hungary. N/A: IEEE Computer Society Press, Vol. 1. p. 43-48 6 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Published
Evolutionary neural classification approaches for strategic and operational decision support in retail store planning
Stahlbock, R., Lessmann, S. & Crone, S., 2005, Proceedings of the 2005 International Conference on Artificial Intelligence, ICAI 2005, Las Vegas, Nevada, USA. Athens: CSREA Press, Vol. 1. p. 60-66 7 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Published
Evolutionary neural classification for the evaluation of retail stores and decision support
Stahlbock, R. & Crone, S., 2005, Proceedings of the IEEE International Joint Conference on Neural Networks, IJCNN'05, (Montreal, Canada) - 2005 IEEE: New York, Vol. 3, pp.1499-1504. N/A: unknown, p. 1499-1504 6 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
Feature selection for time series prediction - A combined filter and wrapper approach for neural networks
Crone, S. F. & Kourentzes, N., 06/2010, In: Neurocomputing. 73, 10-12, p. 1923-1936 14 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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/ISSN › Conference contribution/Paper › peer-review
Published
Forecasting and Operational Research: A Review
Fildes, R. A., Nikolopoulos, K., Crone, S. & Syntetos, A., 09/2008, In: Journal of the Operational Research Society. 59, 9, p. 1150-1172 23 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Research

Dr Sven Crone

A business forecasting competition approach to modeling artificial neural networks for time series prediction

A comparison of AdaBoost algorithms for time series forecast combination

A naïve support vector regression benchmark for the NN3 forecasting competition

A study on the ability of support vector regression and neural networks to forecast basic time series patterns

Advances in forecasting with artificial neural networks

Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction

An evaluation framework for publications on artificial neural networks in sales forecasting

An evaluation of discrete support vector machines for cost-sensitive learning

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

An extended evaluation framework for neural network publications in sales forecasting

Artificial neural networks for time series prediction - A novel approach to inventory management using asymmetric cost functions

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

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

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.

Crogging (cross-validation aggregation) for forecasting - A novel algorithm of neural network ensembles on time series subsamples

Cross-validation aggregation for combining autoregressive neural network forecasts

Data mining and information systems - Quo Vadis?

Demand models for the static retail price optimization problem-A Revenue Management perspective

Dynamic Model Selection and Combination in Forecasting: an Empirical Evaluation of Bagging and Boosting

Empirical comparison and evaluation of classifier performance for data mining in customer relationship management

Evolutionary neural classification approaches for strategic and operational decision support in retail store planning

Evolutionary neural classification for the evaluation of retail stores and decision support

Feature selection for time series prediction - A combined filter and wrapper approach for neural networks

Feature selection of autoregressive Neural Network inputs for trend Time Series Forecasting

Forecasting and Operational Research: A Review

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