Sven F. Crone

Orcid: 0000-0003-4952-318X

Affiliations:
  • Lancaster University, Department of Management, UK


According to our database1, Sven F. Crone authored at least 39 papers between 2003 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2019
Automatic time series analysis for electric load forecasting via support vector regression.
Appl. Soft Comput., 2019

2016
The effect of data preprocessing on a retail price optimization system.
Decis. Support Syst., 2016

Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Feature selection of autoregressive Neural Network inputs for trend Time Series Forecasting.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014
Neural network ensemble operators for time series forecasting.
Expert Syst. Appl., 2014

Demand models for the static retail price optimization problem - A Revenue Management perspective.
Proceedings of the 4th Student Conference on Operational Research, 2014

Predicting exchange rates with sentiment indicators: An empirical evaluation using text mining and multilayer perceptrons.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

2013
Crogging (cross-validation aggregation) for forecasting - A novel algorithm of neural network ensembles on time series subsamples.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Multivariate k-nearest neighbour regression for time series data - A novel algorithm for forecasting UK electricity demand.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Forecasting foreign exchange rates using Support Vector Regression.
Proceedings of the 2013 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2013

2011
Semi-supervised monitoring of electric load time series for unusual patterns.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

The impact of preprocessing on forecasting electrical load: An empirical evaluation of segmenting time series into subseries.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Data Mining and Information Systems: Quo Vadis?
Proceedings of the Data Mining - Special Issue in Annals of Information Systems, 2010

Feature selection for time series prediction - A combined filter and wrapper approach for neural networks.
Neurocomputing, 2010

Frequency independent automatic input variable selection for Neural Networks for forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2010

Naive Support Vector Regression and Multilayer Perceptron benchmarks for the 2010 neural network grand competition (NNGC) on time series prediction.
Proceedings of the International Joint Conference on Neural Networks, 2010

An evaluation of neural network ensembles and model selection for time series prediction.
Proceedings of the International Joint Conference on Neural Networks, 2010

Inference for Neural Network Predictive Models with Impulse Interventions.
Proceedings of The 2010 International Conference on Data Mining, 2010

2009
Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency.
Proceedings of the International Joint Conference on Neural Networks, 2009

Forecasting Seasonal Time Series with Multilayer Perceptrons - An Empirical Evaluation of Input Vector Specifications for Deterministic Seasonality.
Proceedings of The 2009 International Conference on Data Mining, 2009

2008
Forecasting and operational research: a review.
J. Oper. Res. Soc., 2008

2007
A Naïve Support Vector Regression Benchmark for the NN3 Forecasting Competition.
Proceedings of the International Joint Conference on Neural Networks, 2007

Forecasting Seasonal Time Series with Neural Networks: A Sensitivity Analysis of Architecture Parameters.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing.
Eur. J. Oper. Res., 2006

Genetic Algorithms for Support Vector Machine Model Selection.
Proceedings of the International Joint Conference on Neural Networks, 2006

An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning.
Proceedings of the International Joint Conference on Neural Networks, 2006

Forecasting with Computational Intelligence - An Evaluation of Support Vector Regression and Artificial Neural Networks for Time Series Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2006

A study on the ability of Support Vector Regression and Neural Networks to Forecast Basic Time Series Patterns.
Proceedings of the Artificial Intelligence in Theory and Practice, 2006

Fuzzy Support Vector Machines Regression for Business Forecasting: An Application.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

Parameter Sensitivity of Support Vector Regression and Neural Networks for Forecasting.
Proceedings of the 2006 International Conference on Data Mining, 2006

The Impact of Preprocessing on Support Vector Regression and Neural Networks in Time Series Prediction.
Proceedings of the 2006 International Conference on Data Mining, 2006

An Extended Evaluation Framework for Neural Network Publications in Sales Forecasting.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2006

2005
Genetically Constructed Kernels for Support Vector Machines.
Proceedings of the Operations Research Proceedings 2005, 2005

Evolutionary Neural Classification Approaches for Strategic and Operational Decision Support in Retail Store Planning.
Proceedings of the 2005 International Conference on Artificial Intelligence, 2005

Optimizing Hyperparameters of Support Vector Machines by Genetic Algorithms.
Proceedings of the 2005 International Conference on Artificial Intelligence, 2005

Predicting Customer Online Shopping Adoption - an Evaluation of Data Mining and Market Modelling Approaches.
Proceedings of The 2005 International Conference on Data Mining, 2005

2004
An Evaluation Framework for Publications on Artificial Neural networks in Sales Forecasting.
Proceedings of the International Conference on Artificial Intelligence, 2004

A Business Forecasting Competition Approach to Modeling Artificial Neural Networks for Time Series Prediction.
Proceedings of the International Conference on Artificial Intelligence, 2004

2003
Artificial Neural Networks for Time Series Prediction - A Novel Approach to Inventory Management Using Asymmetric Cost Functions.
Proceedings of the International Conference on Artificial Intelligence, 2003


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