Christian Bauckhage

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Citations	15179	5775
h-index	55	33
i10-index	199	118

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Rafet SifaProfessor of Machine Learning at University of Bonn and Fraunhofer IAISVerified email at iais.fraunhofer.de
Christian ThurauN26Verified email at n26.com
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Co-Director hessian.ai, DFKI, CAIRNE, ELLISVerified email at cs.tu-darmstadt.de
Gerhard SagererProfessor für Informatik, Universität BielefeldVerified email at techfak.uni-bielefeld.de
Anders DrachenProfessor, SDU Metaverse Lab, University of Southern DenmarkVerified email at york.ac.uk
Mirwaes WahabzadaBASF Digital Farming GmbHVerified email at basf.com
Laura von RuedenResearch Scientist, Fraunhofer IAIS, Fraunhofer Center for Machine LearningVerified email at iais.fraunhofer.de
Tansu AlpcanProfessor, Dept. of EEE, the University of MelbourneVerified email at unimelb.edu.au
César OjedaPost DocVerified email at uni-potsdam.de
Jochen GarckeUniversität Bonn, Fraunhofer SCAIVerified email at ins.uni-bonn.de
Armin CremersProfessor of Computer Science, University of BonnVerified email at iai.uni-bonn.de
Fabian Hadijigoedle.io GmbHVerified email at goedle.io
Lars HillebrandPhD Student, Fraunhofer IAIS and University of BonnVerified email at iais.fraunhofer.de
Anne-Katrin MahleinInstitute of Sugar Beet Research, GöttingenVerified email at ifz-goettingen.de
Jérôme KunegisSWIFTVerified email at unamur.be
Muhammad Shahzad CheemaIBMVerified email at ibm.com
abdalrahman eweiwiUni BonnVerified email at bit.uni-bonn.de
Kostadin CvejoskiFraunhofer IAIS, LAMARR InstituteVerified email at iais.fraunhofer.de
Jannis SchueckerResearch Fellow at Fraunhofer IAISVerified email at iais.fraunhofer.de
Cordelia SchmidResearch director INRIA Verified email at inria.fr

Christian Bauckhage

Prof. of Computer Science, University of Bonn, Fraunhofer IAIS, LAMARR Institute

Verified email at bit.uni-bonn.de - Homepage

Pattern Recognition Machine Learning Web Science Computer Games


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Evaluation of interest point detectors C Schmid, R Mohr, C Bauckhage International Journal of computer vision 37 (2), 151-172, 2000	2535	2000
Informed machine learning–a taxonomy and survey of integrating prior knowledge into learning systems L Von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ... IEEE Transactions on Knowledge and Data Engineering 35 (1), 614-633, 2021	897	2021
The slashdot zoo: mining a social network with negative edges J Kunegis, A Lommatzsch, C Bauckhage Proceedings of the 18th international conference on World wide web, 741-750, 2009	595	2009
Comparing and evaluating interest points C Schmid, R Mohr, C Bauckhage Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271 …, 1998	513	1998
Informed Haar-like Features Improve Pedestrian Detection S Zhang, C Bauckhage, A Cremers Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	414	2014
Insights into Internet Memes C Bauckhage Weblogs and Social Media 2011. ICWSM 2011. Fifth International AAAI …, 2011	389	2011
Propagation kernels: efficient graph kernels from propagated information M Neumann, R Garnett, C Bauckhage, K Kersting Machine learning 102, 209-245, 2016	305	2016
Analyzing social bookmarking systems: A del. icio. us cookbook R Wetzker, C Zimmermann, C Bauckhage Proceedings of the ECAI 2008 Mining Social Data Workshop, 26-30, 2008	282	2008
Guns, swords and data: Clustering of player behavior in computer games in the wild A Drachen, R Sifa, C Bauckhage, C Thurau IEEE Conference on Computational Intelligence and Games, 163-170, 2012	247	2012
Predicting Player Churn in the Wild F Hadiji, R Sifa, A Drachen, C Thurau, K Kersting, C Bauckhage IEEE Conference on Computational Intelligence and Games, 2014	236	2014
Loveparade 2010: Automatic Video Analysis of a Crowd Disaster B Krausz, C Bauckhage Computer Vision and Image Understanding 116 (3), 307-319, 2012	233	2012
Combining machine learning and simulation to a hybrid modelling approach: Current and future directions L von Rueden, S Mayer, R Sifa, C Bauckhage, J Garcke Advances in Intelligent Data Analysis XVIII: 18th International Symposium on …, 2020	216	2020
Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis C Römer, M Wahabzada, A Ballvora, F Pinto, M Rossini, C Panigada, ... Functional Plant Biology 39 (11), 878-890, 2012	185	2012
Plant phenotyping using probabilistic topic models: uncovering the hyperspectral language of plants M Wahabzada, AK Mahlein, C Bauckhage, U Steiner, EC Oerke, ... Scientific reports 6 (1), 22482, 2016	160	2016
Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, and Yejin Choi. Is reinforcement learning (not) for natural language processing: Benchmarks, baselines, and building … R Ramamurthy, P Ammanabrolu, K Brantley, J Hessel The Eleventh International Conference on Learning Representations, 2023	158	2023
Clustering Game Behavior Data C Bauckhage, A Drachen, R Sifa Computational Intelligence and AI in Games, IEEE Transactions on 7 (3), 266-278, 2015	153	2015
I tag, you tag: translating tags for advanced user models R Wetzker, C Zimmermann, C Bauckhage, S Albayrak Proceedings of the third ACM international conference on Web search and data …, 2010	148	2010
Metro maps of plant disease dynamics—automated mining of differences using hyperspectral images M Wahabzada, AK Mahlein, C Bauckhage, U Steiner, EC Oerke, ... Plos one 10 (1), e0116902, 2015	142	2015
Predicting purchase decisions in mobile free-to-play games R Sifa, F Hadiji, J Runge, A Drachen, K Kersting, C Bauckhage proceedings of the AAAI conference on artificial intelligence and …, 2015	140	2015
Learning human-like movement behavior for computer games C Thurau, C Bauckage, G Sagerer	131	2004

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