 | 2011 |
| 34 |  | Nikolaos Kourentzes,
Sven F. Crone:
Semi-supervised monitoring of electric load time series for unusual patterns.
IJCNN 2011: 2852-2859 |
| 33 |  | 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 |
| 32 |  | Robert Stahlbock,
Sven F. Crone,
Mahmoud Abou-Nasr,
Hamid R. Arabnia,
Nikolaos Kourentzes,
Philippe Lenca,
Wolfram-Manfred Lippe,
Gary M. Weiss:
Proceedings of The 2010 International Conference on Data Mining, DMIN 2010, July 12-15, 2010, Las Vegas, Nevada, USA
CSREA Press 2010 |
| 31 |  | Robert Stahlbock,
Sven F. Crone,
Stefan Lessmann:
Data Mining - Special Issue in Annals of Information Systems
Springer 2010 |
| 30 |  | Nikolaos Kourentzes,
Sven F. Crone:
Inference for Neural Network Predictive Models with Impulse Interventions.
DMIN 2010: 273-279 |
| 29 |  | 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 |
| 28 |  | Nikolaos Kourentzes,
Sven F. Crone:
Frequency independent automatic input variable selection for Neural Networks for forecasting.
IJCNN 2010: 1-8 |
| 27 |  | 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 |
| 26 |  | Robert Stahlbock,
Stefan Lessmann,
Sven F. Crone:
Data Mining and Information Systems: Quo Vadis?
Data Mining 2010: 1-15 |
| 25 |  | 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) |
| 2009 |
| 24 |  | Robert Stahlbock,
Sven F. Crone,
Stefan Lessmann:
Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA
CSREA Press 2009 |
| 23 |  | 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 |
| 22 |  | 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 |
| 2008 |
| 21 |  | Robert Stahlbock,
Sven F. Crone,
Stefan Lessmann:
Proceedings of The 2008 International Conference on Data Mining, DMIN 2008, July 14-17, 2008, Las Vegas, USA, 2 Volumes
CSREA Press 2008 |
| 2007 |
| 20 |  | Robert Stahlbock,
Sven F. Crone,
Stefan Lessmann:
Proceedings of the 2007 International Conference on Data Mining, DMIN 2007, June 25-28, 2007, Las Vegas, Nevada, USA
CSREA Press 2007 |
| 19 |  | Sven F. Crone,
Rohit Dhawan:
Forecasting Seasonal Time Series with Neural Networks: A Sensitivity Analysis of Architecture Parameters.
IJCNN 2007: 2099-2104 |
| 18 |  | Sven F. Crone,
Swantje Pietsch:
A Naïve Support Vector Regression Benchmark for the NN3 Forecasting Competition.
IJCNN 2007: 2454-2459 |
| 2006 |
| 17 |  | Sven F. Crone,
Stefan Lessmann,
Robert Stahlbock:
Proceedings of the 2006 International Conference on Data Mining, DMIN 2006, Las Vegas, Nevada, USA, June 26-29, 2006
CSREA Press 2006 |
| 16 |  | Sven F. Crone,
Dieter B. Preßmar:
An Extended Evaluation Framework for Neural Network Publications in Sales Forecasting.
Artificial Intelligence and Applications 2006: 179-186 |
| 15 |  | 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 |
| 14 |  | Sven F. Crone,
Stefan Lessmann,
Swantje Pietsch:
Parameter Sensitivity of Support Vector Regression and Neural Networks for Forecasting.
DMIN 2006: 396-402 |
| 13 |  | Yukun Bao,
Rui Zhang,
Sven F. Crone:
Fuzzy Support Vector Machines Regression for Business Forecasting: An Application.
FSKD 2006: 1313-1317 |
| 12 |  | 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 |
| 11 |  | Stefan Lessmann,
Robert Stahlbock,
Sven F. Crone:
Genetic Algorithms for Support Vector Machine Model Selection.
IJCNN 2006: 3063-3069 |
| 10 |  | 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 |
| 9 |  | Stefan Lessmann,
Sven F. Crone,
Robert Stahlbock:
An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning.
IJCNN 2006: 347-354 |
| 8 |  | 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) |
| 2005 |
| 7 |  | Sven F. Crone,
Didier Soopramanien:
Predicting Customer Online Shopping Adoption - an Evaluation of Data Mining and Market Modelling Approaches.
DMIN 2005: 215-221 |
| 6 |  | 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 |
| 5 |  | Stefan Lessmann,
Robert Stahlbock,
Sven F. Crone:
Optimizing Hyperparameters of Support Vector Machines by Genetic Algorithms.
IC-AI 2005: 74-82 |
| 4 |  | Stefan Lessmann,
Robert Stahlbock,
Sven F. Crone:
Genetically Constructed Kernels for Support Vector Machines.
OR 2005: 257-262 |
| 2004 |
| 3 |  | Sven F. Crone:
A Business Forecasting Competition Approach to Modeling Artificial Neural Networks for Time Series Prediction.
IC-AI 2004: 207-213 |
| 2 |  | Sven F. Crone,
Patrick C. Graffeille:
An Evaluation Framework for Publications on Artificial Neural networks in Sales Forecasting.
IC-AI 2004: 221-227 |
| 2003 |
| 1 |  | 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 |