Justin Heinermann

According to our database, Justin Heinermann authored at least 12 papers between 2013 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Preferences-Based Choice Prediction in Evolutionary Multi-objective Optimization.

Manish Aggarwal, Justin Heinermann, Stefan Oehmcke, Oliver Kramer

Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2016

Wind Power Prediction with Machine Learning.

Nils André Treiber, Justin Heinermann, Oliver Kramer

Proceedings of the Computational Sustainability, 2016

Wind Power Prediction with Machine Learning Ensembles.

Justin Heinermann

PhD thesis, 2016

Evolutionary Multi-objective Ensembles for Wind Power Prediction.

Justin Heinermann, Jörg Lässig, Oliver Kramer

Proceedings of the Data Analytics for Renewable Energy Integration, 2016

2015

Short-Term Wind Power Prediction with Combination of Speed and Power Time Series.

Justin Heinermann, Oliver Kramer

Proceedings of the KI 2015: Advances in Artificial Intelligence, 2015

Analysis of Diversity Methods for Evolutionary Multi-objective Ensemble Classifiers.

Stefan Oehmcke, Justin Heinermann, Oliver Kramer

Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Comparison of Numerical Models and Statistical Learning for Wind Speed Prediction.

Nils André Treiber, Stephan Späth, Justin Heinermann, Lueder von Bremen, Oliver Kramer

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

On Heterogeneous Machine Learning Ensembles for Wind Power Prediction.

Justin Heinermann, Oliver Kramer

Proceedings of the Computational Sustainability, 2015

2014

A Framework for Data Mining in Wind Power Time Series.

Oliver Kramer, Fabian Gieseke, Justin Heinermann, Jendrik Poloczek, Nils André Treiber

Proceedings of the Data Analytics for Renewable Energy Integration, 2014

Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs.

Fabian Gieseke, Justin Heinermann, Cosmin E. Oancea, Christian Igel

Proceedings of the 31th International Conference on Machine Learning, 2014

Precise Wind Power Prediction with SVM Ensemble Regression.

Justin Heinermann, Oliver Kramer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013

On GPU-Based Nearest Neighbor Queries for Large-Scale Photometric Catalogs in Astronomy.

Justin Heinermann, Oliver Kramer, Kai Lars Polsterer, Fabian Gieseke

Proceedings of the KI 2013: Advances in Artificial Intelligence, 2013