Christian Bauckhage

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Rafet SifaProfessor of Applied Machine Learning at University of Bonn and Fraunhofer IAISAdresă de e-mail confirmată pe iais.fraunhofer.de
Christian ThurauN26Adresă de e-mail confirmată pe n26.com
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISAdresă de e-mail confirmată pe cs.tu-darmstadt.de
Gerhard SagererProfessor für Informatik, Universität BielefeldAdresă de e-mail confirmată pe techfak.uni-bielefeld.de
Anders DrachenProfessor, SDU Metaverse Lab, University of Southern DenmarkAdresă de e-mail confirmată pe york.ac.uk
Rajkumar RamamurthyFraunhofer IAISAdresă de e-mail confirmată pe iais.fraunhofer.de
Mirwaes WahabzadaBASF Digital Farming GmbHAdresă de e-mail confirmată pe basf.com
Tansu AlpcanProfessor, Dept. of EEE, the University of MelbourneAdresă de e-mail confirmată pe unimelb.edu.au
César OjedaPost DocAdresă de e-mail confirmată pe tu-berlin.de
Armin CremersProfessor of Computer Science, University of BonnAdresă de e-mail confirmată pe iai.uni-bonn.de
Laura von RuedenResearch Scientist, Fraunhofer IAIS, Fraunhofer Center for Machine LearningAdresă de e-mail confirmată pe iais.fraunhofer.de
Fabian Hadijigoedle.io GmbHAdresă de e-mail confirmată pe goedle.io
Jérôme KunegisSWIFTAdresă de e-mail confirmată pe unamur.be
Muhammad Shahzad CheemaIBMAdresă de e-mail confirmată pe ibm.com
abdalrahman eweiwiUni BonnAdresă de e-mail confirmată pe bit.uni-bonn.de
Cordelia SchmidResearch director INRIA Adresă de e-mail confirmată pe inria.fr
Jochen GarckeUniversität Bonn, Fraunhofer SCAIAdresă de e-mail confirmată pe ins.uni-bonn.de
Anne-Katrin MahleinInstitute of Sugar Beet Research, GöttingenAdresă de e-mail confirmată pe ifz-goettingen.de
Lars HillebrandPhD Student, Fraunhofer IAIS and University of BonnAdresă de e-mail confirmată pe iais.fraunhofer.de
Kostadin CvejoskiFraunhofer IAIS, LAMARR InstituteAdresă de e-mail confirmată pe iais.fraunhofer.de

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Christian Bauckhage

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

Adresă de e-mail confirmată pe bit.uni-bonn.de - Pagina de pornire

Pattern Recognition Machine Learning Web Science Computer Games


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Evaluation of interest point detectors C Schmid, R Mohr, C Bauckhage International Journal of computer vision 37 (2), 151-172, 2000	2417	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	564	2009
Comparing and evaluating interest points C Schmid, R Mohr, C Bauckhage Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271 …, 1998	507	1998
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	484	2021
Informed Haar-like Features Improve Pedestrian Detection S Zhang, C Bauckhage, A Cremers Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	396	2014
Insights into Internet Memes C Bauckhage Weblogs and Social Media 2011. ICWSM 2011. Fifth International AAAI …, 2011	343	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	266	2008
Propagation kernels: efficient graph kernels from propagated information M Neumann, R Garnett, C Bauckhage, K Kersting Machine learning 102, 209-245, 2016	245	2016
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	224	2012
Loveparade 2010: Automatic Video Analysis of a Crowd Disaster B Krausz, C Bauckhage Computer Vision and Image Understanding 116 (3), 307-319, 2012	211	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	209	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	173	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	146	2010
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	142	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	136	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	129	2004
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	128	2015
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	125	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	116	2012
Non-negative Matrix Factorization in Multimodality Data for Segmentation and Label Prediction Z Akata, C Thurau, I Fraunhofer, C Bauckhage CVWW, 2011	115	2011

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