| Machine learning ensembles for wind power prediction J Heinermann, O Kramer Renewable Energy 89, 671-679, 2016 | 233 | 2016 |
| Buffer kd trees: processing massive nearest neighbor queries on GPUs F Gieseke, J Heinermann, C Oancea, C Igel International Conference on Machine Learning, 172-180, 2014 | 114 | 2014 |
| Wind power prediction with machine learning NA Treiber, J Heinermann, O Kramer Computational sustainability, 13-29, 2016 | 75 | 2016 |
| Precise wind power prediction with SVM ensemble regression J Heinermann, O Kramer Artificial Neural Networks and Machine Learning–ICANN 2014: 24th …, 2014 | 42 | 2014 |
| Aggregation of features for wind energy prediction with support vector regression and nearest neighbors NA Treiber, J Heinermann, O Kramer European conference on machine learning, DARE workshop, 22-30, 2013 | 19 | 2013 |
| Comparison of Numerical Models and Statistical Learning for Wind Speed Prediction. NA Treiber, S Späth, J Heinermann, L von Bremen, O Kramer ESANN, 2015 | 15 | 2015 |
| Wind power prediction with machine learning ensembles JP Heinermann Universität Oldenburg, 2016 | 11 | 2016 |
| On heterogeneous machine learning ensembles for wind power prediction J Heinermann, O Kramer Workshops at the twenty-ninth AAAI conference on artificial intelligence, 2015 | 10 | 2015 |
| On GPU-based nearest neighbor queries for large-scale photometric catalogs in astronomy J Heinermann, O Kramer, KL Polsterer, F Gieseke KI 2013: Advances in Artificial Intelligence: 36th Annual German Conference …, 2013 | 8 | 2013 |
| Analysis of diversity methods for evolutionary multi-objective ensemble classifiers S Oehmcke, J Heinermann, O Kramer Applications of Evolutionary Computation: 18th European Conference …, 2015 | 7 | 2015 |
| Computational Sustainability NA Treiber, J Heinermann, O Kramer Studies in Computational Intelligence 645, 2016 | 5 | 2016 |
| Short-term wind power prediction with combination of speed and power time series J Heinermann, O Kramer KI 2015: Advances in Artificial Intelligence: 38th Annual German Conference …, 2015 | 5 | 2015 |
| A framework for data mining in wind power time series O Kramer, F Gieseke, J Heinermann, J Poloczek, NA Treiber Data Analytics for Renewable Energy Integration: Second ECML PKDD Workshop …, 2014 | 4 | 2014 |
| Evolutionary Multi-objective Ensembles for Wind Power Prediction J Heinermann, J Lässig, O Kramer Data Analytics for Renewable Energy Integration: 4th ECML PKDD Workshop …, 2017 | 3 | 2017 |
| Preferences-based choice prediction in evolutionary multi-objective optimization M Aggarwal, J Heinermann, S Oehmcke, O Kramer Applications of Evolutionary Computation: 20th European Conference …, 2017 | 2 | 2017 |
| Globaler Zustand JP Heinermann Konzepte und Methoden in verteilten Systemen, 22, 2011 | | 2011 |
