Sven F. Crone

Publication Activity (10 Years)

Years Active: 2003-2019
Publications (10 Years): 4

Top Topics

Data Preprocessing

Support Vector Regression

Foreign Exchange

Feature Selection

Top Venues

Decis. Support Syst.

Appl. Soft Comput.

Publications

Sebastián Maldonado, Agustín González, Sven F. Crone
Automatic time series analysis for electric load forecasting via support vector regression. Appl. Soft Comput. 83 (2019)
Timo P. Kunz, Sven F. Crone, Joern Meissner
The effect of data preprocessing on a retail price optimization system. Decis. Support Syst. 84 (2016)
Mirko Kück, Sven F. Crone, Michael Freitag
Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data. IJCNN (2016)
Sven F. Crone, Stephan Hager
Feature selection of autoregressive Neural Network inputs for trend Time Series Forecasting. IJCNN (2016)
Timo P. Kunz, Sven F. Crone
Demand models for the static retail price optimization problem - A Revenue Management perspective. SCOR (2014)
Nikolaos Kourentzes, Devon K. Barrow, Sven F. Crone
Neural network ensemble operators for time series forecasting. Expert Syst. Appl. 41 (9) (2014)
Sven F. Crone, Christian Koeppel
Predicting exchange rates with sentiment indicators: An empirical evaluation using text mining and multilayer perceptrons. CIFEr (2014)
Devon K. Barrow, Sven F. Crone
Crogging (cross-validation aggregation) for forecasting - A novel algorithm of neural network ensembles on time series subsamples. IJCNN (2013)
Fahad H. Al-Qahtani, Sven F. Crone
Multivariate k-nearest neighbour regression for time series data - A novel algorithm for forecasting UK electricity demand. IJCNN (2013)
F. Bahramy, Sven F. Crone
Forecasting foreign exchange rates using Support Vector Regression. CIFEr (2013)
Sven F. Crone, Nikolaos Kourentzes
The impact of preprocessing on forecasting electrical load: An empirical evaluation of segmenting time series into subseries. IJCNN (2011)
Nikolaos Kourentzes, Sven F. Crone
Semi-supervised monitoring of electric load time series for unusual patterns. IJCNN (2011)
Nikolaos Kourentzes, Sven F. Crone
Frequency independent automatic input variable selection for Neural Networks for forecasting. IJCNN (2010)
Nikolaos Kourentzes, Sven F. Crone
Inference for Neural Network Predictive Models with Impulse Interventions. DMIN (2010)
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)
Sven F. Crone, Nikolaos Kourentzes
Feature selection for time series prediction - A combined filter and wrapper approach for neural networks. Neurocomputing 73 (10-12) (2010)
Devon K. Barrow, Sven F. Crone, Nikolaos Kourentzes
An evaluation of neural network ensembles and model selection for time series prediction. IJCNN (2010)
Sven F. Crone, Nikolaos Kourentzes
Forecasting Seasonal Time Series with Multilayer Perceptrons - An Empirical Evaluation of Input Vector Specifications for Deterministic Seasonality. DMIN (2009)
Sven F. Crone, Nikolaos Kourentzes
Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency. IJCNN (2009)
Robert Fildes, Konstantinos Nikolopoulos, Sven F. Crone, Aris A. Syntetos
Forecasting and operational research: a review. J. Oper. Res. Soc. 59 (9) (2008)
Sven F. Crone, Rohit Dhawan
Forecasting Seasonal Time Series with Neural Networks: A Sensitivity Analysis of Architecture Parameters. IJCNN (2007)
Sven F. Crone, Swantje Pietsch
A Naïve Support Vector Regression Benchmark for the NN3 Forecasting Competition. IJCNN (2007)
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)
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)
Yukun Bao, Rui Zhang, Sven F. Crone
Fuzzy Support Vector Machines Regression for Business Forecasting: An Application. FSKD (2006)
Sven F. Crone, Stefan Lessmann, Swantje Pietsch
Parameter Sensitivity of Support Vector Regression and Neural Networks for Forecasting. DMIN (2006)
Sven F. Crone, Stefan Lessmann, Robert Stahlbock
The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing. Eur. J. Oper. Res. 173 (3) (2006)
Sven F. Crone, Dieter B. Preßmar
An Extended Evaluation Framework for Neural Network Publications in Sales Forecasting. Artificial Intelligence and Applications (2006)
Stefan Lessmann, Robert Stahlbock, Sven F. Crone
Genetic Algorithms for Support Vector Machine Model Selection. IJCNN (2006)
Sven F. Crone, Jose Guajardo, Richard Weber
The Impact of Preprocessing on Support Vector Regression and Neural Networks in Time Series Prediction. DMIN (2006)
Stefan Lessmann, Sven F. Crone, Robert Stahlbock
An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning. IJCNN (2006)
Stefan Lessmann, Robert Stahlbock, Sven F. Crone
Optimizing Hyperparameters of Support Vector Machines by Genetic Algorithms. IC-AI (2005)
Robert Stahlbock, Stefan Lessmann, Sven F. Crone
Evolutionary Neural Classification Approaches for Strategic and Operational Decision Support in Retail Store Planning. IC-AI (2005)
Stefan Lessmann, Robert Stahlbock, Sven F. Crone
Genetically Constructed Kernels for Support Vector Machines. OR (2005)
Sven F. Crone, Didier Soopramanien
Predicting Customer Online Shopping Adoption - an Evaluation of Data Mining and Market Modelling Approaches. DMIN (2005)
Sven F. Crone, Patrick C. Graffeille
An Evaluation Framework for Publications on Artificial Neural networks in Sales Forecasting. IC-AI (2004)
Sven F. Crone
A Business Forecasting Competition Approach to Modeling Artificial Neural Networks for Time Series Prediction. IC-AI (2004)
Sven F. Crone
Artificial Neural Networks for Time Series Prediction - A Novel Approach to Inventory Management Using Asymmetric Cost Functions. IC-AI (2003)