| 2016 | IJCNN | Feature selection of autoregressive Neural Network inputs for trend Time Series Forecasting. | Sven F. Crone, Stephan Hager |
| 2016 | IJCNN | Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data. | Mirko Kck, Sven F. Crone, Michael Freitag |
| 2013 | IJCNN | Multivariate k-nearest neighbour regression for time series data - A novel algorithm for forecasting UK electricity demand. | Fahad H. Al-Qahtani, Sven F. Crone |
| 2013 | IJCNN | Crogging (cross-validation aggregation) for forecasting - A novel algorithm of neural network ensembles on time series subsamples. | Devon K. Barrow, Sven F. Crone |
| 2011 | IJCNN | The impact of preprocessing on forecasting electrical load: An empirical evaluation of segmenting time series into subseries. | Sven F. Crone, Nikolaos Kourentzes |
| 2011 | IJCNN | Semi-supervised monitoring of electric load time series for unusual patterns. | Nikolaos Kourentzes, Sven F. Crone |
| 2010 | IJCNN | An evaluation of neural network ensembles and model selection for time series prediction. | Devon K. Barrow, Sven F. Crone, Nikolaos Kourentzes |
| 2010 | IJCNN | Naive Support Vector Regression and Multilayer Perceptron benchmarks for the 2010 neural network grand competition (NNGC) on time series prediction. | Sven F. Crone, Nikolaos Kourentzes |
| 2010 | IJCNN | Frequency independent automatic input variable selection for Neural Networks for forecasting. | Nikolaos Kourentzes, Sven F. Crone |
| 2009 | IJCNN | Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency. | Sven F. Crone, Nikolaos Kourentzes |
| 2007 | IJCNN | Forecasting Seasonal Time Series with Neural Networks: A Sensitivity Analysis of Architecture Parameters. | Sven F. Crone, Rohit Dhawan |
| 2007 | IJCNN | A Nave Support Vector Regression Benchmark for the NN3 Forecasting Competition. | Sven F. Crone, Swantje Pietsch |
| 2006 | IJCNN | 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 | IJCNN | An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning. | Stefan Lessmann, Sven F. Crone, Robert Stahlbock |
| 2006 | IJCNN | Genetic Algorithms for Support Vector Machine Model Selection. | Stefan Lessmann, Robert Stahlbock, Sven F. Crone |
| 2005 | IJCNN | Evolutionary neural classification for evaluation of retail stores and decision support. | Robert Stahlbock, Sven F. Crone |
| 2004 | IJCNN | Prediction of the CATS benchmark using a business forecasting approach to multilayer perceptron modelling. | Sven F. Crone, Heiko Kausch, Dieter Prebmar |
| 2004 | IJCNN | Empirical comparison and evaluation of classifier performance for data mining in customer relationship management. | Sven F. Crone, Stefan Lessmann, Robert Stahlbock |
| 2003 | IJCNN | Prediction of white noise time series using artificial neural networks and asymmetric cost functions. | Sven F. Crone |