Granitzer Michael

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Christin SeifertUniversity of Marburg / Hessian.AIVerified email at uni-marburg.de
Vedran SabolResearch Area Manager, Know-CenterVerified email at know-center.at
Jelena MitrovićUniversity of PassauVerified email at uni-passau.de
Roman KernKnow Center, Graz University of TechnologyVerified email at know-center.at
Wolfgang KienreichIT:U Interdisciplinary Transformation University AustriaVerified email at blit.at
Jörg SchlöttererUniversity of Marburg / Hessian.AI; University of MannheimVerified email at uni-marburg.de
Klaus TochtermannDept. of Computer Science at Kiel University, ZBW Leibniz Information Centre for EconomicsVerified email at informatik.uni-kiel.de
Mathias LuxAssociate Professor at Alpen-Adria-Universität KlagenfurtVerified email at itec.uni-klu.ac.at
Stefanie LindstaedtFounding President Institute of Digital Sciences AustriaVerified email at idsa.io
Elisabeth LexProf. at Graz University of TechnologyVerified email at tugraz.at
Pierre-Edouard PORTIERCaisse d'Epargne Rhône-AlpesVerified email at cera.caisse-epargne.fr
Werner Kliebertechnische universität graz, tugraz.atVerified email at know-center.at
Mario ZechnerVerified email at know-center.at
Olivier CaelenSirrisVerified email at ulb.ac.be
Benno SteinProfessor for Computer Science, Bauhaus-Universität WeimarVerified email at uni-weimar.de
Prof. Dr. (ENS Lyon) Harald KoschLehrstuhlinhaber für Verteilte Informationssysteme, Universität PassauVerified email at uni-passau.de
Kai SchlegelUniversität Passau, University of PassauVerified email at dimis.fim.uni-passau.de
Frank KappeProfessor of Computer Science, Graz University of TechnologyVerified email at tugraz.at
DICKSON LUKOSEMonash UniversityVerified email at monash.edu
Arno ScharlMU Vienna; webLyzard technology; StorypactVerified email at weblyzard.com

Granitzer Michael

Professor Computer Science, University Passau

Verified email at uni-passau.de - Homepage

Information Retrieval Data Science Applied Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Sequence classification for credit-card fraud detection J Jurgovsky, M Granitzer, K Ziegler, S Calabretto, PE Portier, ... Expert systems with applications 100, 234-245, 2018	409	2018
Hatebert: Retraining bert for abusive language detection in english T Caselli, V Basile, J Mitrović, M Granitzer arXiv preprint arXiv:2010.12472, 2020	362	2020
Combining BPM and social software: contradiction or chance? S Erol, M Granitzer, S Happ, S Jantunen, B Jennings, P Johannesson, ... Journal of software maintenance and evolution: research and practice 22 (6‐7 …, 2010	196	2010
On the beauty and usability of tag clouds C Seifert, B Kump, W Kienreich, G Granitzer, M Granitzer 2008 12th International Conference Information Visualisation, 17-25, 2008	181	2008
The infosky visual explorer: exploiting hierarchical structure and document similarities K Andrews, W Kienreich, V Sabol, J Becker, G Droschl, F Kappe, ... Information Visualization 1 (3-4), 166-181, 2002	159	2002
I feel offended, don’t be abusive! implicit/explicit messages in offensive and abusive language T Caselli, V Basile, J Mitrović, I Kartoziya, M Granitzer Proceedings of the twelfth language resources and evaluation conference …, 2020	158	2020
Accelerating k-means on the graphics processor via cuda M Zechner, M Granitzer 2009 First International Conference on Intensive Applications and Services, 7-15, 2009	152	2009
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs Y Lucas, PE Portier, L Laporte, L He-Guelton, O Caelen, M Granitzer, ... Future Generation Computer Systems 102, 393-402, 2020	138	2020
Blog credibility ranking by exploiting verified content A Juffinger, M Granitzer, E Lex Proceedings of the 3rd workshop on Information credibility on the web, 51-58, 2009	132	2009
Robust and collective entity disambiguation through semantic embeddings S Zwicklbauer, C Seifert, M Granitzer Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016	120	2016
External and intrinsic plagiarism detection using vector space models M Zechner, M Muhr, R Kern, M Granitzer Proc. SEPLN 32, 47-55, 2009	118	2009
Ontology alignment—a survey with focus on visually supported semi-automatic techniques M Granitzer, V Sabol, KW Onn, D Lukose, K Tochtermann Future Internet 2 (3), 238-258, 2010	108	2010
Automated identification of bias inducing words in news articles using linguistic and context-oriented features T Spinde, L Rudnitckaia, J Mitrović, F Hamborg, M Granitzer, B Gipp, ... Information Processing & Management 58 (3), 102505, 2021	78	2021
Evaluating a system for interactive exploration of large, hierarchically structured document repositories M Granitzer, W Kienreich, V Sabol, K Andrews, W Klieber IEEE Symposium on Information Visualization, 127-134, 2004	71	2004
Doser-a knowledge-base-agnostic framework for entity disambiguation using semantic embeddings S Zwicklbauer, C Seifert, M Granitzer The Semantic Web. Latest Advances and New Domains: 13th International …, 2016	70	2016
Measuring the quality of web content using factual information E Lex, M Voelske, M Errecalde, E Ferretti, L Cagnina, C Horn, B Stein, ... Proceedings of the 2nd joint WICOW/AIRWeb workshop on web quality, 7-10, 2012	63	2012
User-based active learning C Seifert, M Granitzer 2010 IEEE International Conference on Data Mining Workshops, 418-425, 2010	61	2010
External and intrinsic plagiarism detection using a cross-lingual retrieval and segmentation system M Muhr, R Kern, M Zechner, M Granitzer Notebook papers of CLEF 2010 LABs and workshops, 22, 2010	55	2010
Aspects of broad folksonomies M Lux, M Granitzer, R Kern 18th International Workshop on Database and Expert Systems Applications …, 2007	53	2007
Hierarchical text classification using methods from machine learning M Granitzer na, 2003	51	2003

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