Christian Bauckhage

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Rafet SifaProfessor of Machine Learning at University of Bonn and Fraunhofer IAISVerifierad e-postadress på iais.fraunhofer.de
Christian ThurauN26Verifierad e-postadress på n26.com
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Co-Director hessian.ai, DFKI, CAIRNE, ELLISVerifierad e-postadress på cs.tu-darmstadt.de
Gerhard SagererProfessor für Informatik, Universität BielefeldVerifierad e-postadress på techfak.uni-bielefeld.de
Anders DrachenProfessor, SDU Metaverse Lab, University of Southern DenmarkVerifierad e-postadress på york.ac.uk
Mirwaes WahabzadaBASF Digital Farming GmbHVerifierad e-postadress på basf.com
Laura von RuedenResearch Scientist, Fraunhofer IAIS, Fraunhofer Center for Machine LearningVerifierad e-postadress på iais.fraunhofer.de
César OjedaPost DocVerifierad e-postadress på uni-potsdam.de
Tansu AlpcanProfessor, Dept. of EEE, the University of MelbourneVerifierad e-postadress på unimelb.edu.au
Lars HillebrandPhD Student, Fraunhofer IAIS and University of BonnVerifierad e-postadress på iais.fraunhofer.de
Armin CremersProfessor of Computer Science, University of BonnVerifierad e-postadress på iai.uni-bonn.de
Jochen GarckeUniversität Bonn, Fraunhofer SCAIVerifierad e-postadress på ins.uni-bonn.de
Fabian Hadijigoedle.io GmbHVerifierad e-postadress på goedle.io
Anne-Katrin MahleinInstitute of Sugar Beet Research, GöttingenVerifierad e-postadress på ifz-goettingen.de
Kostadin CvejoskiFraunhofer IAIS, LAMARR InstituteVerifierad e-postadress på iais.fraunhofer.de
Muhammad Shahzad CheemaIBMVerifierad e-postadress på ibm.com
abdalrahman eweiwiUni BonnVerifierad e-postadress på bit.uni-bonn.de
Jannis SchueckerResearch Fellow at Fraunhofer IAISVerifierad e-postadress på iais.fraunhofer.de
Jérôme KunegisSWIFTVerifierad e-postadress på unamur.be
Max LübberingFraunhofer IAISVerifierad e-postadress på iais.fraunhofer.de

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Christian Bauckhage

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

Verifierad e-postadress på bit.uni-bonn.de - Startsida

Pattern Recognition Machine Learning Web Science Computer Games


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Evaluation of interest point detectors C Schmid, R Mohr, C Bauckhage International Journal of computer vision 37 (2), 151-172, 2000	2540	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	583	2009
Comparing and evaluating interest points C Schmid, R Mohr, C Bauckhage Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271 …, 1998	511	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	417	2014
Insights into Internet Memes C Bauckhage Weblogs and Social Media 2011. ICWSM 2011. Fifth International AAAI …, 2011	386	2011
Propagation kernels: efficient graph kernels from propagated information M Neumann, R Garnett, C Bauckhage, K Kersting Machine learning 102, 209-245, 2016	313	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	248	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	240	2014
Loveparade 2010: Automatic Video Analysis of a Crowd Disaster B Krausz, C Bauckhage Computer Vision and Image Understanding 116 (3), 307-319, 2012	230	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	222	2020
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	161	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	157	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	152	2015
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	149	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	145	2010
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	144	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	139	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	130	2012

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