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Sven F. Crone
2010 – today
- 2011
[c25]Nikolaos Kourentzes, Sven F. Crone: Semi-supervised monitoring of electric load time series for unusual patterns. IJCNN 2011: 2852-2859
[c24]Sven F. Crone, Nikolaos Kourentzes: The impact of preprocessing on forecasting electrical load: An empirical evaluation of segmenting time series into subseries. IJCNN 2011: 3285-3292- 2010
[j2]Sven F. Crone, Nikolaos Kourentzes: Feature selection for time series prediction - A combined filter and wrapper approach for neural networks. Neurocomputing 73(10-12): 1923-1936 (2010)
[c23]Nikolaos Kourentzes, Sven F. Crone: Inference for Neural Network Predictive Models with Impulse Interventions. DMIN 2010: 273-279
[c22]Devon K. Barrow, Sven F. Crone, Nikolaos Kourentzes: An evaluation of neural network ensembles and model selection for time series prediction. IJCNN 2010: 1-8
[c21]Sven F. Crone, Nikolaos Kourentzes: Naive Support Vector Regression and Multilayer Perceptron benchmarks for the 2010 neural network grand competition (NNGC) on time series prediction. IJCNN 2010: 1-8
[c20]Nikolaos Kourentzes, Sven F. Crone: Frequency independent automatic input variable selection for Neural Networks for forecasting. IJCNN 2010: 1-8
[p1]Robert Stahlbock, Stefan Lessmann, Sven F. Crone: Data Mining and Information Systems: Quo Vadis? Data Mining 2010: 1-15
[e6]Robert Stahlbock, Sven F. Crone, Mahmoud Abou-Nasr, Hamid R. Arabnia, Nikolaos Kourentzes, Philippe Lenca, Wolfram-Manfred Lippe, Gary M. Weiss (Eds.): Proceedings of The 2010 International Conference on Data Mining, DMIN 2010, July 12-15, 2010, Las Vegas, Nevada, USA. CSREA Press 2010, ISBN 1-60132-138-4
[e5]Robert Stahlbock, Sven F. Crone, Stefan Lessmann (Eds.): Data Mining - Special Issue in Annals of Information Systems. Annals of Information Systems 8, Springer 2010, ISBN 978-1-4419-1279-4
2000 – 2009
- 2009
[c19]Sven F. Crone, Nikolaos Kourentzes: Forecasting Seasonal Time Series with Multilayer Perceptrons - An Empirical Evaluation of Input Vector Specifications for Deterministic Seasonality. DMIN 2009: 232-238
[c18]Sven F. Crone, Nikolaos Kourentzes: Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency. IJCNN 2009: 619-626
[e4]Robert Stahlbock, Sven F. Crone, Stefan Lessmann (Eds.): Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA. CSREA Press 2009, ISBN 1-60132-099-X- 2008
[e3]Robert Stahlbock, Sven F. Crone, Stefan Lessmann (Eds.): Proceedings of The 2008 International Conference on Data Mining, DMIN 2008, July 14-17, 2008, Las Vegas, USA, 2 Volumes. CSREA Press 2008, ISBN 1-60132-062-0- 2007
[c17]Sven F. Crone, Rohit Dhawan: Forecasting Seasonal Time Series with Neural Networks: A Sensitivity Analysis of Architecture Parameters. IJCNN 2007: 2099-2104
[c16]Sven F. Crone, Swantje Pietsch: A Naïve Support Vector Regression Benchmark for the NN3 Forecasting Competition. IJCNN 2007: 2454-2459
[e2]Robert Stahlbock, Sven F. Crone, Stefan Lessmann (Eds.): Proceedings of the 2007 International Conference on Data Mining, DMIN 2007, June 25-28, 2007, Las Vegas, Nevada, USA. CSREA Press 2007, ISBN 1-60132-031-0- 2006
[j1]Sven F. Crone, Stefan Lessmann, Robert Stahlbock: The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing. European Journal of Operational Research 173(3): 781-800 (2006)
[c15]Sven F. Crone, Dieter B. Preßmar: An Extended Evaluation Framework for Neural Network Publications in Sales Forecasting. Artificial Intelligence and Applications 2006: 179-186
[c14]Sven F. Crone, Jose Guajardo, Richard Weber: The Impact of Preprocessing on Support Vector Regression and Neural Networks in Time Series Prediction. DMIN 2006: 37-44
[c13]Sven F. Crone, Stefan Lessmann, Swantje Pietsch: Parameter Sensitivity of Support Vector Regression and Neural Networks for Forecasting. DMIN 2006: 396-402
[c12]
[c11]Sven F. Crone, Jose Guajardo, Richard Weber: A study on the ability of Support Vector Regression and Neural Networks to Forecast Basic Time Series Patterns. IFIP AI 2006: 149-158
[c10]Stefan Lessmann, Sven F. Crone, Robert Stahlbock: An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning. IJCNN 2006: 347-354
[c9]Stefan Lessmann, Robert Stahlbock, Sven F. Crone: Genetic Algorithms for Support Vector Machine Model Selection. IJCNN 2006: 3063-3069
[c8]Sven F. Crone, Stefan Lessmann, Swantje Pietsch: Forecasting with Computational Intelligence - An Evaluation of Support Vector Regression and Artificial Neural Networks for Time Series Prediction. IJCNN 2006: 3159-3166
[e1]Sven F. Crone, Stefan Lessmann, Robert Stahlbock (Eds.): Proceedings of the 2006 International Conference on Data Mining, DMIN 2006, Las Vegas, Nevada, USA, June 26-29, 2006. CSREA Press 2006, ISBN 1-60132-004-3- 2005
[c7]Sven F. Crone, Didier Soopramanien: Predicting Customer Online Shopping Adoption - an Evaluation of Data Mining and Market Modelling Approaches. DMIN 2005: 215-221
[c6]Robert Stahlbock, Stefan Lessmann, Sven F. Crone: Evolutionary Neural Classification Approaches for Strategic and Operational Decision Support in Retail Store Planning. IC-AI 2005: 60-66
[c5]Stefan Lessmann, Robert Stahlbock, Sven F. Crone: Optimizing Hyperparameters of Support Vector Machines by Genetic Algorithms. IC-AI 2005: 74-82
[c4]Stefan Lessmann, Robert Stahlbock, Sven F. Crone: Genetically Constructed Kernels for Support Vector Machines. OR 2005: 257-262- 2004
[c3]Sven F. Crone: A Business Forecasting Competition Approach to Modeling Artificial Neural Networks for Time Series Prediction. IC-AI 2004: 207-213
[c2]Sven F. Crone, Patrick C. Graffeille: An Evaluation Framework for Publications on Artificial Neural networks in Sales Forecasting. IC-AI 2004: 221-227- 2003
[c1]Sven F. Crone: Artificial Neural Networks for Time Series Prediction - A Novel Approach to Inventory Management Using Asymmetric Cost Functions. IC-AI 2003: 193-199
Coauthor Index
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last updated on 2013-10-02 11:01 CEST by the dblp team



