Christian Bauckhage

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Rafet SifaProfessor of Machine Learning at University of Bonn and Fraunhofer IAISVerificeret mail på iais.fraunhofer.de
Christian ThurauN26Verificeret mail på n26.com
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Co-Director hessian.ai, DFKI, CAIRNE, ELLISVerificeret mail på cs.tu-darmstadt.de
Gerhard SagererProfessor für Informatik, Universität BielefeldVerificeret mail på techfak.uni-bielefeld.de
Anders DrachenProfessor, SDU Metaverse Lab, University of Southern DenmarkVerificeret mail på york.ac.uk
Mirwaes WahabzadaBASF Digital Farming GmbHVerificeret mail på basf.com
Laura von RuedenResearch Scientist, Fraunhofer IAIS, Fraunhofer Center for Machine LearningVerificeret mail på iais.fraunhofer.de
Tansu AlpcanProfessor, Dept. of EEE, the University of MelbourneVerificeret mail på unimelb.edu.au
César OjedaPost DocVerificeret mail på uni-potsdam.de
Jochen GarckeUniversität Bonn, Fraunhofer SCAIVerificeret mail på ins.uni-bonn.de
Armin CremersProfessor of Computer Science, University of BonnVerificeret mail på iai.uni-bonn.de
Fabian Hadijigoedle.io GmbHVerificeret mail på goedle.io
Lars HillebrandPhD Student, Fraunhofer IAIS and University of BonnVerificeret mail på iais.fraunhofer.de
Anne-Katrin MahleinInstitute of Sugar Beet Research, GöttingenVerificeret mail på ifz-goettingen.de
Jérôme KunegisSWIFTVerificeret mail på unamur.be
Muhammad Shahzad CheemaIBMVerificeret mail på ibm.com
abdalrahman eweiwiUni BonnVerificeret mail på bit.uni-bonn.de
Kostadin CvejoskiFraunhofer IAIS, LAMARR InstituteVerificeret mail på iais.fraunhofer.de
Jannis SchueckerResearch Fellow at Fraunhofer IAISVerificeret mail på iais.fraunhofer.de
Cordelia SchmidResearch director INRIA Verificeret mail på inria.fr

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Christian Bauckhage

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

Verificeret mail på bit.uni-bonn.de - Startside

Pattern Recognition Machine Learning Web Science Computer Games


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Evaluation of interest point detectors C Schmid, R Mohr, C Bauckhage International Journal of computer vision 37 (2), 151-172, 2000	2536	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	903	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	415	2014
Insights into Internet Memes C Bauckhage Weblogs and Social Media 2011. ICWSM 2011. Fifth International AAAI …, 2011	390	2011
Propagation kernels: efficient graph kernels from propagated information M Neumann, R Garnett, C Bauckhage, K Kersting Machine learning 102, 209-245, 2016	309	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	219	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	186	2012
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	162	2023
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	161	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	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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