Justin Heinermann
Justin Heinermann
Verified email at uni-oldenburg.de - Homepage
Title
Cited by
Cited by
Year
Machine learning ensembles for wind power prediction
J Heinermann, O Kramer
Renewable Energy 89, 671-679, 2016
1212016
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
902014
Wind power prediction with machine learning
NA Treiber, J Heinermann, O Kramer
Computational sustainability, 13-29, 2016
372016
Precise wind power prediction with SVM ensemble regression
J Heinermann, O Kramer
International Conference on Artificial Neural Networks, 797-804, 2014
292014
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
162013
Comparison of numerical models and statistical learning for wind speed prediction
NA Treiber, S Späth, J Heinermann, L von Bremen, O Kramer
Proceedings of the European Symposium on Artificial Neural Networks, ESANN …, 2015
122015
On GPU-based nearest neighbor queries for large-scale photometric catalogs in astronomy
J Heinermann, O Kramer, KL Polsterer, F Gieseke
Annual Conference on Artificial Intelligence, 86-97, 2013
102013
Wind power prediction with machine learning ensembles
JP Heinermann
Universität Oldenburg, 2016
92016
On heterogeneous machine learning ensembles for wind power prediction
J Heinermann, O Kramer
Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
72015
Short-term wind power prediction with combination of speed and power time series
J Heinermann, O Kramer
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2015
52015
Analysis of diversity methods for evolutionary multi-objective ensemble classifiers
S Oehmcke, J Heinermann, O Kramer
European Conference on the Applications of Evolutionary Computation, 567-578, 2015
52015
A framework for data mining in wind power time series
O Kramer, F Gieseke, J Heinermann, J Poloczek, NA Treiber
International Workshop on Data Analytics for Renewable Energy Integration …, 2014
32014
Preferences-based choice prediction in evolutionary multi-objective optimization
M Aggarwal, J Heinermann, S Oehmcke, O Kramer
European Conference on the Applications of Evolutionary Computation, 715-724, 2017
22017
Evolutionary Multi-objective Ensembles for Wind Power Prediction
J Heinermann, J Lässig, O Kramer
International Workshop on Data Analytics for Renewable Energy Integration …, 2016
22016
Globaler Zustand
JP Heinermann
Konzepte und Methoden in verteilten Systemen, 22, 2011
2011
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