On GPU-Based Nearest Neighbor Queries for Large-Scale Photometric Catalogs in Astronomy. - Justin Heinermann; Oliver Kramer 001; Kai Lars Polsterer; Fabian Gieseke (KI, 2013)

Precise Wind Power Prediction with SVM Ensemble Regression. - Justin Heinermann; Oliver Kramer 001 (ICANN, 2014)

Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs. - Fabian Gieseke; Justin Heinermann; Cosmin E. Oancea; Christian Igel (ICML, 2014)

A Framework for Data Mining in Wind Power Time Series. - Oliver Kramer 001; Fabian Gieseke; Justin Heinermann; Jendrik Poloczek; Nils André Treiber (DARE, 2014)

On Heterogeneous Machine Learning Ensembles for Wind Power Prediction. - Justin Heinermann; Oliver Kramer 001 (AAAI Workshop: Computational Sustainability, 2015)

Comparison of Numerical Models and Statistical Learning for Wind Speed Prediction. - Nils André Treiber; Stephan Späth; Justin Heinermann; Lueder von Bremen; Oliver Kramer 001 (ESANN, 2015)

Analysis of Diversity Methods for Evolutionary Multi-objective Ensemble Classifiers. - Stefan Oehmcke; Justin Heinermann; Oliver Kramer 001 (EvoApplications, 2015)

Short-Term Wind Power Prediction with Combination of Speed and Power Time Series. - Justin Heinermann; Oliver Kramer 001 (KI, 2015)

Evolutionary Multi-objective Ensembles for Wind Power Prediction. - Justin Heinermann; Jörg Lässig; Oliver Kramer 001 (DARE@PKDD/ECML, 2016)

Wind Power Prediction with Machine Learning Ensembles. - Justin Heinermann (2016)

Wind Power Prediction with Machine Learning. - Nils André Treiber; Justin Heinermann; Oliver Kramer 001 (Computational Sustainability, 2016)

Preferences-Based Choice Prediction in Evolutionary Multi-objective Optimization. - Manish Aggarwal; Justin Heinermann; Stefan Oehmcke; Oliver Kramer 001 (EvoApplications (1), 2017)