Christian Bauckhage

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Rafet SifaHead of Cognitive Business Optimization at Fraunhofer IAISVerified email at iais.fraunhofer.de
Christian ThurauN26Verified email at n26.com
Kristian KerstingProfessor of AI & Machine Learning, TU Darmstadt, Co-Director of hessian.ai, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
Anders DrachenProfessor, DC Labs, University of YorkVerified email at york.ac.uk
Rajkumar RamamurthyFraunhofer IAISVerified email at iais.fraunhofer.de
Mirwaes WahabzadaBASF Digital Farming GmbHVerified email at basf.com
Tansu AlpcanProfessor, Dept. of EEE, the University of MelbourneVerified email at unimelb.edu.au
Armin CremersProfessor of Computer Science, University of BonnVerified email at iai.uni-bonn.de
César OjedaPost DocVerified email at tu-berlin.de
Fabian Hadijigoedle.io GmbHVerified email at goedle.io
Jérôme KunegisUniversité de NamurVerified email at unamur.be
Muhammad Shahzad CheemaIBMVerified email at ibm.com
abdalrahman eweiwiUni BonnVerified email at bit.uni-bonn.de
Cordelia SchmidResearch director INRIA Verified email at inria.fr
John K. TsotsosYork University, CanadaVerified email at eecs.yorku.ca
Shanshan Zhang (张姗姗)Professor at Nanjing University of Science and TechnologyVerified email at njust.edu.cn
Laura von RuedenResearch Scientist, Fraunhofer IAIS, Fraunhofer Center for Machine LearningVerified email at iais.fraunhofer.de
Kostadin CvejoskiFraunhofer IAISVerified email at iais.fraunhofer.de
Stefan WrobelFraunhofer IAIS and University of BonnVerified email at iais.fraunhofer.de
Sahin AlbayrakProfessur für Informatik, Technische Universität BerlinVerified email at dai-labor.de

Christian Bauckhage

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

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	2436	2000
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	544	2009
Comparing and evaluating interest points C Schmid, R Mohr, C Bauckhage Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271 …, 1998	496	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	382	2014
Insights into Internet Memes C Bauckhage Weblogs and Social Media 2011. ICWSM 2011. Fifth International AAAI …, 2011	298	2011
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	257	2008
Informed Machine Learning--A Taxonomy and Survey of Integrating Knowledge into Learning Systems L Von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ... arXiv preprint arXiv:1903.12394, 2019	209	2019
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	206	2012
Loveparade 2010: Automatic Video Analysis of a Crowd Disaster B Krausz, C Bauckhage Computer Vision and Image Understanding 116 (3), 307-319, 2012	191	2012
Propagation kernels: efficient graph kernels from propagated information M Neumann, R Garnett, C Bauckhage, K Kersting Machine Learning 102 (2), 209-245, 2016	189	2016
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	179	2014
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	162	2012
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	142	2010
Clustering Game Behavior Data C Bauckhage, A Drachen, R Sifa Computational Intelligence and AI in Games, IEEE Transactions on 7 (3), 266-278, 2015	128	2015
Learning human-like movement behavior for computer games C Thurau, C Bauckhage, G Sagerer Proc. Int. Conf. on the Simulation of Adaptive Behavior, 315-323, 2004	128	2004
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), 1-11, 2016	117	2016
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	117	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	116	2015
How Players Lose Interest in Playing a Game: An Empirical Study Based on Distributions of Total Playing Times C Bauckhage, K Kersting, R Sifa, C Thurau, A Drachen, A Canossa IEEE Conference on Computational Intelligence and Games, 2012	110	2012
Non-negative Matrix Factorization in Multimodality Data for Segmentation and Label Prediction Z Akata, C Thurau, I Fraunhofer, C Bauckhage CVWW, 2011	106	2011

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