Annals of Information Systems U Apte, U Karmarkar, U Kulkarni, DJ Power, R Sharda, S Kozielski, ... | 430 | 2009 |
Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction SF Crone, M Hibon, K Nikolopoulos International Journal of forecasting 27 (3), 635-660, 2011 | 369 | 2011 |
Forecasting and operational research: a review R Fildes, K Nikolopoulos, SF Crone, AA Syntetos Journal of the Operational Research Society 59, 1150-1172, 2008 | 364 | 2008 |
Neural network ensemble operators for time series forecasting N Kourentzes, DK Barrow, SF Crone Expert Systems with Applications 41 (9), 4235-4244, 2014 | 347 | 2014 |
The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing SF Crone, S Lessmann, R Stahlbock European Journal of Operational Research 173 (3), 781-800, 2006 | 310 | 2006 |
Instance sampling in credit scoring: An empirical study of sample size and balancing SF Crone, S Finlay International Journal of Forecasting 28 (1), 224-238, 2012 | 250 | 2012 |
Feature selection for time series prediction–A combined filter and wrapper approach for neural networks SF Crone, N Kourentzes Neurocomputing 73 (10-12), 1923-1936, 2010 | 247 | 2010 |
Genetic algorithms for support vector machine model selection S Lessmann, R Stahlbock, SF Crone The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 174 | 2006 |
Multivariate k-nearest neighbour regression for time series data—A novel algorithm for forecasting UK electricity demand FH Al-Qahtani, SF Crone The 2013 international joint conference on neural networks (IJCNN), 1-8, 2013 | 138 | 2013 |
Automatic time series analysis for electric load forecasting via support vector regression S Maldonado, A Gonzalez, S Crone Applied Soft Computing 83, 105616, 2019 | 99 | 2019 |
Crogging (cross-validation aggregation) for forecasting—A novel algorithm of neural network ensembles on time series subsamples DK Barrow, SF Crone The 2013 international joint conference on neural networks (IJCNN), 1-8, 2013 | 84 | 2013 |
A comparison of AdaBoost algorithms for time series forecast combination DK Barrow, SF Crone International Journal of Forecasting 32 (4), 1103-1119, 2016 | 73 | 2016 |
Cross-validation aggregation for combining autoregressive neural network forecasts DK Barrow, SF Crone International Journal of Forecasting 32 (4), 1120-1137, 2016 | 73 | 2016 |
Neuronale Netze zur Prognose und Disposition im Handel S Crone Springer-Verlag, 2010 | 70 | 2010 |
Optimizing Hyperparameters of Support Vector Machines by Genetic Algorithms. S Lessmann, R Stahlbock, SF Crone IC-AI 74, 82, 2005 | 67 | 2005 |
Stepwise selection of artificial neural network models for time series prediction SF Crone Journal of Intelligent Systems 14 (2-3), 99-122, 2005 | 64 | 2005 |
The Impact of Preprocessing on Support Vector Regression and Neural Networks in Time Series Prediction. SF Crone, J Guajardo, R Weber DMIN, 37-44, 2006 | 59 | 2006 |
Training artificial neural networks for time series prediction using asymmetric cost functions SF Crone Proceedings of the 9th International Conference on Neural Information …, 2002 | 59 | 2002 |
An evaluation of neural network ensembles and model selection for time series prediction DK Barrow, SF Crone, N Kourentzes The 2010 international joint conference on neural networks (IJCNN), 1-8, 2010 | 58 | 2010 |
Supply chain forecasting: Best practices & benchmarking study M Weller, S Crone Lancaster Centre For Forecasting 1 (1), 1-43, 2012 | 53 | 2012 |