Sven F. Crone - RankMe

49 papers B 19Misc 5Journal 6Unranked 12

Year	Rank	Type	Title / Venue / Authors
2019	J	`jnl`	Automatic time series analysis for electric load forecasting via support vector regression. Appl. Soft Comput. Sebastián Maldonado, Agustín González, Sven F. Crone
2016	B	`conf`	Feature selection of autoregressive Neural Network inputs for trend Time Series Forecasting. IJCNN Sven F. Crone, Stephan Hager
2016	B	`conf`	Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data. IJCNN Mirko Kück, Sven F. Crone, Michael Freitag
2016	J	`jnl`	The effect of data preprocessing on a retail price optimization system. Decis. Support Syst. Timo P. Kunz, Sven F. Crone, Joern Meissner
2014	—	`conf`	Demand models for the static retail price optimization problem - A Revenue Management perspective. SCOR Timo P. Kunz, Sven F. Crone
2014	J	`jnl`	Neural network ensemble operators for time series forecasting. Expert Syst. Appl. Nikolaos Kourentzes, Devon K. Barrow, Sven F. Crone
2014	—	`conf`	Predicting exchange rates with sentiment indicators: An empirical evaluation using text mining and multilayer perceptrons. CIFEr Sven F. Crone, Christian Koeppel
2013	B	`conf`	Crogging (cross-validation aggregation) for forecasting - A novel algorithm of neural network ensembles on time series subsamples. IJCNN Devon K. Barrow, Sven F. Crone
2013	—	`conf`	Forecasting foreign exchange rates using Support Vector Regression. CIFEr F. Bahramy, Sven F. Crone
2013	B	`conf`	Multivariate k-nearest neighbour regression for time series data - A novel algorithm for forecasting UK electricity demand. IJCNN Fahad H. Al-Qahtani, Sven F. Crone
2011	B	`conf`	Semi-supervised monitoring of electric load time series for unusual patterns. IJCNN Nikolaos Kourentzes, Sven F. Crone
2011	B	`conf`	The impact of preprocessing on forecasting electrical load: An empirical evaluation of segmenting time series into subseries. IJCNN Sven F. Crone, Nikolaos Kourentzes
2010	B	`conf`	An evaluation of neural network ensembles and model selection for time series prediction. IJCNN Devon K. Barrow, Sven F. Crone, Nikolaos Kourentzes
2010	—	`book`	Data Mining - Special Issue in Annals of Information Systems Data Mining Robert Stahlbock, Sven F. Crone, Stefan Lessmann
2010	—	`ch.`	Data Mining and Information Systems: Quo Vadis? Data Mining Robert Stahlbock, Stefan Lessmann, Sven F. Crone
2010	J	`jnl`	Feature selection for time series prediction - A combined filter and wrapper approach for neural networks. Neurocomputing Sven F. Crone, Nikolaos Kourentzes
2010	B	`conf`	Frequency independent automatic input variable selection for Neural Networks for forecasting. IJCNN Nikolaos Kourentzes, Sven F. Crone
2010	—	`conf`	Inference for Neural Network Predictive Models with Impulse Interventions. DMIN Nikolaos Kourentzes, Sven F. Crone
2010	B	`conf`	Naive Support Vector Regression and Multilayer Perceptron benchmarks for the 2010 neural network grand competition (NNGC) on time series prediction. IJCNN Sven F. Crone, Nikolaos Kourentzes
2010	—	`ed.`	Proceedings of The 2010 International Conference on Data Mining, DMIN 2010, July 12-15, 2010, Las Vegas, Nevada, USA DMIN Robert Stahlbock, Sven F. Crone, Mahmoud Abou-Nasr, Hamid R. Arabnia, Nikolaos Kourentzes, Philippe Lenca, Wolfram-Manfred Lippe, Gary M. Weiss
2009	—	`conf`	Forecasting Seasonal Time Series with Multilayer Perceptrons - An Empirical Evaluation of Input Vector Specifications for Deterministic Seasonality. DMIN Sven F. Crone, Nikolaos Kourentzes
2009	B	`conf`	Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency. IJCNN Sven F. Crone, Nikolaos Kourentzes
2009	—	`ed.`	Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA DMIN Robert Stahlbock, Sven F. Crone, Stefan Lessmann
2008	J	`jnl`	Forecasting and operational research: a review. J. Oper. Res. Soc. Robert Fildes, Konstantinos Nikolopoulos, Sven F. Crone, Aris A. Syntetos
2008	—	`ed.`	Proceedings of The 2008 International Conference on Data Mining, DMIN 2008, July 14-17, 2008, Las Vegas, USA, 2 Volumes DMIN Robert Stahlbock, Sven F. Crone, Stefan Lessmann
2007	B	`conf`	A Naïve Support Vector Regression Benchmark for the NN3 Forecasting Competition. IJCNN Sven F. Crone, Swantje Pietsch
2007	B	`conf`	Forecasting Seasonal Time Series with Neural Networks: A Sensitivity Analysis of Architecture Parameters. IJCNN Sven F. Crone, Rohit Dhawan
2007	—	`ed.`	Proceedings of the 2007 International Conference on Data Mining, DMIN 2007, June 25-28, 2007, Las Vegas, Nevada, USA DMIN Robert Stahlbock, Sven F. Crone, Stefan Lessmann
2006	—	`conf`	A study on the ability of Support Vector Regression and Neural Networks to Forecast Basic Time Series Patterns. IFIP AI Sven F. Crone, Jose Guajardo, Richard Weber
2006	B	`conf`	An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning. IJCNN Stefan Lessmann, Sven F. Crone, Robert Stahlbock
2006	—	`conf`	An Extended Evaluation Framework for Neural Network Publications in Sales Forecasting. Artificial Intelligence and Applications Sven F. Crone, Dieter B. Preßmar
2006	B	`conf`	Forecasting with Computational Intelligence - An Evaluation of Support Vector Regression and Artificial Neural Networks for Time Series Prediction. IJCNN Sven F. Crone, Stefan Lessmann, Swantje Pietsch
2006	—	`conf`	Fuzzy Support Vector Machines Regression for Business Forecasting: An Application. FSKD Yukun Bao, Rui Zhang, Sven F. Crone
2006	B	`conf`	Genetic Algorithms for Support Vector Machine Model Selection. IJCNN Stefan Lessmann, Robert Stahlbock, Sven F. Crone
2006	—	`conf`	Parameter Sensitivity of Support Vector Regression and Neural Networks for Forecasting. DMIN Sven F. Crone, Stefan Lessmann, Swantje Pietsch
2006	—	`ed.`	Proceedings of the 2006 International Conference on Data Mining, DMIN 2006, Las Vegas, Nevada, USA, June 26-29, 2006 DMIN Sven F. Crone, Stefan Lessmann, Robert Stahlbock
2006	—	`conf`	The Impact of Preprocessing on Support Vector Regression and Neural Networks in Time Series Prediction. DMIN Sven F. Crone, Jose Guajardo, Richard Weber
2006	J	`jnl`	The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing. Eur. J. Oper. Res. Sven F. Crone, Stefan Lessmann, Robert Stahlbock
2005	Misc	`conf`	Evolutionary Neural Classification Approaches for Strategic and Operational Decision Support in Retail Store Planning. IC-AI Robert Stahlbock, Stefan Lessmann, Sven F. Crone
2005	B	`conf`	Evolutionary neural classification for evaluation of retail stores and decision support. IJCNN Robert Stahlbock, Sven F. Crone
2005	—	`conf`	Genetically Constructed Kernels for Support Vector Machines. OR Stefan Lessmann, Robert Stahlbock, Sven F. Crone
2005	Misc	`conf`	Optimizing Hyperparameters of Support Vector Machines by Genetic Algorithms. IC-AI Stefan Lessmann, Robert Stahlbock, Sven F. Crone
2005	—	`conf`	Predicting Customer Online Shopping Adoption - an Evaluation of Data Mining and Market Modelling Approaches. DMIN Sven F. Crone, Didier Soopramanien
2004	Misc	`conf`	A Business Forecasting Competition Approach to Modeling Artificial Neural Networks for Time Series Prediction. IC-AI Sven F. Crone
2004	Misc	`conf`	An Evaluation Framework for Publications on Artificial Neural networks in Sales Forecasting. IC-AI Sven F. Crone, Patrick C. Graffeille
2004	B	`conf`	Empirical comparison and evaluation of classifier performance for data mining in customer relationship management. IJCNN Sven F. Crone, Stefan Lessmann, Robert Stahlbock
2004	B	`conf`	Prediction of the CATS benchmark using a business forecasting approach to multilayer perceptron modelling. IJCNN Sven F. Crone, Heiko Kausch, Dieter Prebmar
2003	Misc	`conf`	Artificial Neural Networks for Time Series Prediction - A Novel Approach to Inventory Management Using Asymmetric Cost Functions. IC-AI Sven F. Crone
2003	B	`conf`	Prediction of white noise time series using artificial neural networks and asymmetric cost functions. IJCNN Sven F. Crone