Sven Crone - Publications & Outputs - Research Portal

Dr Sven Crone

Lecturer, Director

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2019
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
2016
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
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/ISSN › Conference contribution/Paper › peer-review
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
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
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/Magazine › Journal article › peer-review
2015
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/Magazine › Journal article › peer-review
2014
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/ISSN › Conference contribution/Paper › 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
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/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
2013
Published
Forecasting foreign exchange rates using Support Vector Regression
Bahramy, F. & Crone, S. F., 28/10/2013, 2013 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr). IEEE, p. 34-41 8 p. 6611694. (Proceedings of the 2013 IEEE Conference on Computational Intelligence for Financial Engineering and Economics, CIFEr 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › 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
Multivariate k-nearest neighbour regression for time series data - A novel algorithm for forecasting UK electricity demand
Al-Qahtani, F. H. & Crone, S. F., 9/08/2013, 2013 International Joint Conference on Neural Networks, IJCNN 2013. IEEE, 8 p. 6706742. (Proceedings of the International Joint Conference on Neural Networks).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
2012
Published
Supply Chain Forecasting: Best Practices & Benchmarking Study
Weller, M. & Crone, S. F., 1/11/2012, Lancaster: Lancaster Centre for Forecasting. 43 p.
Research output: Book/Report/Proceedings › Other report
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
How to boost for time series? An empirical evaluation of forecasting accuracy for meta-parameter choices in boosting
Barrow, D. & Crone, S., 2012.
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper
2011
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
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
Semi-supervised monitoring of electric load time series for unusual patterns
Kourentzes, N. & Crone, S. F., 2011, The 2011 International Joint Conference on Neural Networks (IJCNN). New York: IEEE, p. 2852-2859 8 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
Simultane Bedarfsprognose und Warendisposition mit künstlichen Neuronalen Netzen: Fachbeitrag GOR Dissertationspreis 2009
Crone, S., 2011, In: OR News. 38 , p. 13-17 5 p.
Research output: Contribution to Journal/Magazine › Journal article
Published
The impact of preprocessing on forecasting electrical load: an empirical evaluation of segmenting time series into subseries
Crone, S. F. & Kourentzes, N., 2011, The 2011 International Joint Conference on Neural Networks (IJCNN). New York: IEEE, p. 3285-3292 8 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
2010
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
Published
Neuronale Netze zur Prognose und Disposition im Handel: Doktorarbeit, eingereicht an der Universität Hamburg
Crone, S., 03/2010, Frankfurt a.M.: Gabler.
Research output: Book/Report/Proceedings › Book
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

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Research

Dr Sven Crone

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

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

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

A comparison of AdaBoost algorithms for time series forecast combination

Cross-validation aggregation for combining autoregressive neural network forecasts

The effect of data preprocessing on a retail price optimization system

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

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

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.

Neural network ensemble operators for time series forecasting

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

Forecasting foreign exchange rates using Support Vector Regression

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

Multivariate k-nearest neighbour regression for time series data - A novel algorithm for forecasting UK electricity demand

Supply Chain Forecasting: Best Practices & Benchmarking Study

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

How to boost for time series? An empirical evaluation of forecasting accuracy for meta-parameter choices in boosting

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

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

Semi-supervised monitoring of electric load time series for unusual patterns

Simultane Bedarfsprognose und Warendisposition mit künstlichen Neuronalen Netzen: Fachbeitrag GOR Dissertationspreis 2009

The impact of preprocessing on forecasting electrical load: an empirical evaluation of segmenting time series into subseries

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

Neuronale Netze zur Prognose und Disposition im Handel: Doktorarbeit, eingereicht an der Universität Hamburg

Advances in forecasting with artificial neural networks

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