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Publications and Research Outputs

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Published
The impact of preprocessing on support vector regression and neural networks in time series prediction
Crone, S., Guajardo, J. & Weber, R., 2006, Proceedings of the International Conference on Data Mining DMIN'06 (Las Vegas, USA) 2006, CSREA, pp.37-42. N/A: unknown, p. 37-42 6 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
Stepwise selection of artificial neural network models for time series prediction
Crone, S., 2005, In: Journal of Intelligent Systems. 14, 2-3, p. 99-122 24 p.
Research output: Contribution to Journal/Magazine › Journal article › 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
Support vector machines versus artificial neural networks - new potential in data mining for customer relationship management?
Crone, S., Lessmann, S. & Stahlbock, R., 2005, Neural Network Applications in Information Technology and Web Engineering. Malaysia: Borneo Publishing, p. 80-93 14 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Published
Forecasting seasonal time series with neural networks: a sensitivity analysis of architecture parameters
Crone, S. & Dahwan, R., 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
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
Published
Training artificial neural networks for time series prediction using asymmetric cost functions
Crone, S., 2002, Proceedings of the 9th International Conference on neural information processing, 2002. ICONIP '02. N/A: IEEE Computer Society Press, Vol. 5. p. 2374- 2380 7 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
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
Instance sampling in credit scoring: An empirical study of sample size and balancing
Crone, S. F. & Finlay, S., 01/2012, In: International Journal of Forecasting. 28, 1, p. 224-238 15 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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

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Research

Publications and Research Outputs

The impact of preprocessing on support vector regression and neural networks in time series prediction

Stepwise selection of artificial neural network models for time series prediction

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

Support vector machines versus artificial neural networks - new potential in data mining for customer relationship management?

Forecasting seasonal time series with neural networks: a sensitivity analysis of architecture parameters

Input-variable Specification for Neural Networks - an Analysis of Forecasting low and high Time Series Frequency

Training artificial neural networks for time series prediction using asymmetric cost functions

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

Instance sampling in credit scoring: An empirical study of sample size and balancing

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

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