Sven F. Crone

发表

A Naïve Support Vector Regression Benchmark for the NN3 Forecasting Competition

Sven F. Crone, Swantje Pietsch, S. Crone, 2007, 2007 International Joint Conference on Neural Networks.

Modelling Deterministic Seasonality with Artificial Neural Networks for Time Series Forecasting

Nikolaos Kourentzes, Sven F. Crone, 2010 .

Forecasting and OR

Sven F. Crone, Konstantinos Nikolopoulos, Robert Fildes, 2008 .

Forecasting and operational research: a review

Sven F. Crone, Konstantinos Nikolopoulos, Aris A. Syntetos, 2008, J. Oper. Res. Soc..

An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Cross-validation aggregation for combining autoregressive neural network forecasts

Sven F. Crone, Devon K. Barrow, S. Crone, 2016 .

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

Sven F. Crone, Devon K. Barrow, S. Crone, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

A comparison of AdaBoost algorithms for time series forecast combination

Sven F. Crone, Devon K. Barrow, Devon K. Barrow, 2016 .

An Evaluation Framework for Publications on Artificial Neural networks in Sales Forecasting

Sven F. Crone, Patrick C. Graffeille, S. Crone, 2004, IC-AI.

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

Sven F. Crone, Steven Finlay, S. Finlay, 2012 .

Neural network ensemble operators for time series forecasting

Nikolaos Kourentzes, Sven F. Crone, Devon K. Barrow, 2014, Expert Syst. Appl..

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

Nikolaos Kourentzes, Sven F. Crone, 2011, The 2011 International Joint Conference on Neural Networks.

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

Sven F. Crone, Steven Finaly, 2012 .

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

Nikolaos Kourentzes, Sven F. Crone, N. Kourentzes, 2011, The 2011 International Joint Conference on Neural Networks.

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

Sven F. Crone, Stephan Hager, S. Crone, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Genetically Constructed Kernels for Support Vector Machines

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2005, OR.

Genetic Algorithms for Support Vector Machine Model Selection

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Evolutionary Neural Classification Approaches for Strategic and Operational Decision Support in Retail Store Planning

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2005, IC-AI.

Forecasting with Computational Intelligence - An Evaluation of Support Vector Regression and Artificial Neural Networks for Time Series Prediction

Sven F. Crone, Stefan Lessmann, Swantje Pietsch, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

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

Sven F. Crone, Konstantinos Nikolopoulos, Michèle Hibon, 2011 .

Support vector machines versus artificial neural networks - new potential in data mining for customer relationship management?

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2005 .

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

Sven F. Crone, Michael Freitag, Mirko Kuck, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

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

Sven F. Crone, Devon K. Barrow, S. Crone, 2011 .

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

Sven F. Crone, Timo P. Kunz, S. Crone, 2014, SCOR.

Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2009, DMIN.

Proceedings of The 2008 International Conference on Data Mining, DMIN 2008, July 14-17, 2008, Las Vegas, USA, 2 Volumes

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2008, DMIN.

Naive Support Vector Regression and Multilayer Perceptron benchmarks for the 2010 neural network grand competition (NNGC) on time series prediction

Nikolaos Kourentzes, Sven F. Crone, N. Kourentzes, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

An evaluation of neural network ensembles and model selection for time series prediction

Nikolaos Kourentzes, Sven F. Crone, Devon K. Barrow, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Input variable selection for time series prediction with neural networks- an evaluation of visual, autocorrelation and spectral analysis for varying seasonality

Nikolaos Kourentzes, Sven F. Crone, 2007 .

Training artificial neural networks for time series prediction using asymmetric cost functions

Sven F. Crone, S. Crone, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Utility based data mining for time series analysis: cost-sensitive learning for neural network predictors

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2005, UBDM '05.

Inference for Neural Network Predictive Models with Impulse Interventions

Nikolaos Kourentzes, Sven F. Crone, 2010, DMIN.

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

Sven F. Crone, Christian Koeppel, Christian Koeppel, 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

Proceedings of the 2007 International Conference on Data Mining, DMIN 2007, June 25-28, 2007, Las Vegas, Nevada, USA

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2007, DMIN.

Künstliche neuronale Netze zur betrieblichen Entscheidungsunterstützung

Sven F. Crone, 2003 .

Automatic modelling of neural networks for time series prediction - in search of a uniform methodology across varying time frequencies

Nikolaos Kourentzes, Sven F. Crone, 2008 .

A Business Forecasting Competition Approach to Modeling Artificial Neural Networks for Time Series Prediction

Sven F. Crone, 2004, IC-AI.

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

Nikolaos Kourentzes, Sven F. Crone, N. Kourentzes, 2010, Neurocomputing.

Artificial Neural Networks for Time Series Prediction - A Novel Approach to Inventory Management Using Asymmetric Cost Functions

Sven F. Crone, S. Crone, 2003, IC-AI.

Mining the past to determine the future: Comments

Sven F. Crone, 2009 .

Supply Chain Forecasting:Best Practices & Benchmarking Study

Sven F. Crone, Matt Weller, S. Crone, 2012 .

Forecasting high-frequency time series with neural networks - an analysis of modelling challenges from increasing data frequency

Nikolaos Kourentzes, Sven F. Crone, N. Kourentzes, 2008 .

Data Mining: Special Issue in Annals of Information Systems

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2009 .

Advances in forecasting with artificial neural networks

Nikolaos Kourentzes, Sven F. Crone, N. Kourentzes, 2010 .

A study on the ability of Support Vector Regression and Neural Networks to Forecast Basic Time Series Patterns

Sven F. Crone, Richard Weber, Jose Guajardo, 2006, IFIP AI.

Data Mining and Information Systems: Quo Vadis?

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2010, Data Mining.

The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2006, Eur. J. Oper. Res..

Proceedings of the 2010 International Conference on Data Mining

Nikolaos Kourentzes, Sven F. Crone, Hamid R. Arabnia, 2010 .

Forecasting in inventory management using artificial neural networks - a novel approach through asymmetric cost functions

Sven F. Crone, 2003 .

The Impact of Preprocessing on Data Mining: An Evaluation of Support Vector Machines and Artificial Neural Networks

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2006 .

The effect of data preprocessing on a retail price optimization system

Sven F. Crone, Joern Meissner, Timo P. Kunz, 2016, Decis. Support Syst..

Forecasting Seasonal Time Series with Multilayer Perceptrons - An Empirical Evaluation of Input Vector Specifications for Deterministic Seasonality

Nikolaos Kourentzes, Sven F. Crone, 2009, DMIN.

Mining the past to forecast the future: comments

Sven F. Crone, 2009 .

Forecasting Seasonal Time Series with Neural Networks: A Sensitivity Analysis of Architecture Parameters

Sven F. Crone, Rohit Dhawan, 2007, 2007 International Joint Conference on Neural Networks.

Parameter Sensitivity of Support Vector Regression and Neural Networks for Forecasting

Sven F. Crone, Stefan Lessmann, Swantje Pietsch, 2006, DMIN.

The Impact of Preprocessing on Support Vector Regression and Neural Networks in Time Series Prediction

Sven F. Crone, Richard Weber, Jose Guajardo, 2006, DMIN.

Predicting Customer Online Shopping Adoption - an Evaluation of Data Mining and Market Modelling Approaches

Sven F. Crone, Didier Soopramanien, 2005, DMIN.

Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency

Nikolaos Kourentzes, Sven F. Crone, 2009, 2009 International Joint Conference on Neural Networks.

Training Artificial Neural Networks using Asymmetric Cost Functions

Sven F. Crone, 2002 .

Proceedings of the 2006 International Conference on Data Mining, DMIN 2006, Las Vegas, Nevada, USA, June 26-29, 2006

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2006, DMIN.

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

Sven F. Crone, Devon K. Barrow, S. Crone, 2012 .

Automatic Modelling and Forecasting with Artificial Neural Networks- A forecasting competition evaluation

Sven F. Crone, Konstantinos Nikolopoulos, Michele Hibon, 2008 .

Forecasting foreign exchange rates using Support Vector Regression

Sven F. Crone, F. Bahramy, 2013, 2013 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

IEEE CIDM 2011 Committee Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2011)

Tamara G. Kolda, Sven F. Crone, Nikola Kasabov, 2011 .

An Extended Evaluation Framework for Neural Network Publications in Sales Forecasting

Sven F. Crone, Dieter B. Preßmar, D. Preßmar, 2006, Artificial Intelligence and Applications.

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

Sven F. Crone, Sebastián Maldonado, Agustín González, 2019, Appl. Soft Comput..

CorrigendumCorrigendum to “Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction” [Int. J. Forecast. 27 (2011) 635–660]

Sven F. Crone, Michèle Hibon, Konstantinos Nikolopoulos, 2014 .

Optimizing Hyperparameters of Support Vector Machines by Genetic Algorithms

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2005, IC-AI.