Christian Beecks

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Thomas SeidlProfessor of Computer Science, LMU Munich, Munich Center for Machine Learning (MCML)Verified email at dbs.ifi.lmu.de
Merih Seran UysalDr.-Ing, Process and Data Science Chair, RWTH Aachen UniversityVerified email at cs.rwth-aachen.de
Klaus SchoeffmannAssociate Professor, Klagenfurt University, AustriaVerified email at itec.aau.at
Jan David HüwelGrad-student, Fern-Universität Hagen (Photo: FernUniversität in Hagen/Hardy Welsch)Verified email at fernuni-hagen.de
Tomas SkopalProfessor of Computer Science, Charles UniversityVerified email at matfyz.cuni.cz
Jakub LokocUniverzita KarlovaVerified email at ksi.mff.cuni.cz
Marwan HassaniAssistant Professor of Computer Science at Eindhoven University of TechnologyVerified email at tue.nl
Sisay Adugna ChalaFraunhofer FITVerified email at fit.fraunhofer.de
Georg Stefan SchlakeUniversity of Hagen, Germany (Foto: FernUniversität in Hagen/Hardy Welsch)Verified email at fernuni-hagen.de
Erik Mannens, Prof. PhD. MEng. MSc.UAntwerp / Ghent UniversityVerified email at uantwerpen.be
Rik Van de WalleGhent University - iMinds (former IBBT)Verified email at ugent.be
Alexandros NizamisCERTH/ITI and National and Kapodistrian University of AthensVerified email at iti.gr
George AwadComputer Scientist, NISTVerified email at nist.gov
Luca RossettoDublin City UniversityVerified email at dcu.ie
Laurens De VochtUniversiteit GentVerified email at ugent.be
Sabrina KletzAlpen-Adria-Universität KlagenfurtVerified email at edu.aau.at
Frank GloriusUniversity of MuensterVerified email at uni-muenster.de
Marius KühnemundWWU MünsterVerified email at burginia.de
Frederik SandfortResearch Scientist Cheminformatics, BASF SEVerified email at basf.com
Felix Strieth-KalthoffAssistant Professor, University of WuppertalVerified email at uni-wuppertal.de

Christian Beecks

Professor of Computer Science, University of Hagen || Fraunhofer FIT

Verified email at fernuni-hagen.de - Homepage

Data Science Machine Learning Data Mining Big Data AI Applications


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A structure-based platform for predicting chemical reactivity F Sandfort, F Strieth-Kalthoff, M Kühnemund, C Beecks, F Glorius Chem 6 (6), 1379-1390, 2020	234	2020
Signature quadratic form distance C Beecks, MS Uysal, T Seidl Proceedings of the ACM International Conference on Image and Video Retrieval …, 2010	137	2010
A comparative study of similarity measures for content-based multimedia retrieval C Beecks, MS Uysal, T Seidl 2010 IEEE International Conference on Multimedia and Expo, 1552-1557, 2010	111	2010
V3C1 dataset: an evaluation of content characteristics F Berns, L Rossetto, K Schoeffmann, C Beecks, G Awad Proceedings of the 2019 on International Conference on Multimedia Retrieval …, 2019	76	2019
Signature quadratic form distances for content-based similarity C Beecks, MS Uysal, T Seidl Proceedings of the 17th ACM international conference on Multimedia, 697-700, 2009	68	2009
Modeling image similarity by gaussian mixture models and the signature quadratic form distance C Beecks, AM Ivanescu, S Kirchhoff, T Seidl 2011 International Conference on Computer Vision, 1754-1761, 2011	53	2011
Combining CPU and GPU architectures for fast similarity search M Kruliš, T Skopal, J Lokoč, C Beecks Distributed and Parallel Databases 30, 179-207, 2012	50	2012
Distance-based similarity models for content-based multimedia retrieval C Beecks Aachen, Techn. Hochsch., Diss., 2013, 2013	48	2013
Signature matching distance for content-based image retrieval C Beecks, S Kirchhoff, T Seidl Proceedings of the 3rd ACM conference on International conference on …, 2013	45	2013
Video retrieval in laparoscopic video recordings with dynamic content descriptors K Schoeffmann, H Husslein, S Kletz, S Petscharnig, B Muenzer, C Beecks Multimedia Tools and Applications 77, 16813-16832, 2018	43	2018
Ptolemaic access methods: Challenging the reign of the metric space model ML Hetland, T Skopal, J Lokoč, C Beecks Information Systems 38 (7), 989-1006, 2013	41	2013
Indexing the signature quadratic form distance for efficient content-based multimedia retrieval C Beecks, J Lokoč, T Seidl, T Skopal Proceedings of the 1st ACM international conference on multimedia retrieval, 1-8, 2011	41	2011
Ptolemaic indexing of the signature quadratic form distance J Lokoč, ML Hetland, T Skopal, C Beecks Proceedings of the Fourth International Conference on Similarity Search and …, 2011	37	2011
On stability of signature-based similarity measures for content-based image retrieval C Beecks, S Kirchhoff, T Seidl Multimedia tools and applications 71, 349-362, 2014	36	2014
Unsupervised anomaly detection in production lines A Graß, C Beecks, JAC Soto Machine Learning for Cyber Physical Systems: Selected papers from the …, 2019	29	2019
Towards large-scale multimedia exploration C Beecks, T Skopal, K Schöffmann, T Seidl Proceedings of the 5th International Workshop on Ranking in Databases …, 2011	28	2011
knowledge project–concept, methodology and innovations for artificial intelligence in industry 4.0 S Alvarez-Napagao, B Ashmore, M Barroso, C Barrué, C Beecks, F Berns, ... 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), 1-7, 2021	26	2021
Endoscopic video retrieval: A signature-based approach for linking endoscopic images with video segments C Beecks, K Schoeffmann, M Lux, MS Uysal, T Seidl 2015 IEEE international symposium on multimedia (ISM), 33-38, 2015	26	2015
Spatiotemporal similarity search in 3d motion capture gesture streams C Beecks, M Hassani, J Hinnell, D Schüller, B Brenger, I Mittelberg, ... Advances in Spatial and Temporal Databases: 14th International Symposium …, 2015	25	2015
Efficient filter approximation using the earth mover's distance in very large multimedia databases with feature signatures MS Uysal, C Beecks, J Schmücking, T Seidl Proceedings of the 23rd ACM International Conference on Conference on …, 2014	21	2014

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