Christian Bauckhage

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Rafet SifaProfessor of Machine Learning at University of Bonn and Fraunhofer IAISEmail verificata su iais.fraunhofer.de
Christian ThurauN26Email verificata su n26.com
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISEmail verificata su cs.tu-darmstadt.de
Gerhard SagererProfessor für Informatik, Universität BielefeldEmail verificata su techfak.uni-bielefeld.de
Anders DrachenProfessor, SDU Metaverse Lab, University of Southern DenmarkEmail verificata su york.ac.uk
Mirwaes WahabzadaBASF Digital Farming GmbHEmail verificata su basf.com
Tansu AlpcanProfessor, Dept. of EEE, the University of MelbourneEmail verificata su unimelb.edu.au
César OjedaPost DocEmail verificata su uni-potsdam.de
Laura von RuedenResearch Scientist, Fraunhofer IAIS, Fraunhofer Center for Machine LearningEmail verificata su iais.fraunhofer.de
Jochen GarckeUniversität Bonn, Fraunhofer SCAIEmail verificata su ins.uni-bonn.de
Armin CremersProfessor of Computer Science, University of BonnEmail verificata su iai.uni-bonn.de
Fabian Hadijigoedle.io GmbHEmail verificata su goedle.io
Jérôme KunegisSWIFTEmail verificata su unamur.be
Lars HillebrandPhD Student, Fraunhofer IAIS and University of BonnEmail verificata su iais.fraunhofer.de
Muhammad Shahzad CheemaIBMEmail verificata su ibm.com
abdalrahman eweiwiUni BonnEmail verificata su bit.uni-bonn.de
Kostadin CvejoskiFraunhofer IAIS, LAMARR InstituteEmail verificata su iais.fraunhofer.de
Anne-Katrin MahleinInstitute of Sugar Beet Research, GöttingenEmail verificata su ifz-goettingen.de
Cordelia SchmidResearch director INRIA Email verificata su inria.fr
Jannis SchueckerResearch Fellow at Fraunhofer IAISEmail verificata su iais.fraunhofer.de

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Christian Bauckhage

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

Email verificata su bit.uni-bonn.de - Home page

Pattern Recognition Machine Learning Web Science Computer Games


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Evaluation of interest point detectors C Schmid, R Mohr, C Bauckhage International Journal of computer vision 37 (2), 151-172, 2000	2524	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	818	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	591	2009
Comparing and evaluating interest points C Schmid, R Mohr, C Bauckhage Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271 …, 1998	510	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	413	2014
Insights into Internet Memes C Bauckhage Weblogs and Social Media 2011. ICWSM 2011. Fifth International AAAI …, 2011	381	2011
Propagation kernels: efficient graph kernels from propagated information M Neumann, R Garnett, C Bauckhage, K Kersting Machine learning 102, 209-245, 2016	296	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	281	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	244	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	234	2014
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	229	2020
Loveparade 2010: Automatic Video Analysis of a Crowd Disaster B Krausz, C Bauckhage Computer Vision and Image Understanding 116 (3), 307-319, 2012	229	2012
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	159	2016
Clustering Game Behavior Data C Bauckhage, A Drachen, R Sifa Computational Intelligence and AI in Games, IEEE Transactions on 7 (3), 266-278, 2015	150	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	141	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
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	127	2012

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