Ralf Krestel

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Julian Rischdeepset | PhD from Hasso Plattner Institute, University of PotsdamAdresse e-mail validée de deepset.ai
René WitteAssociate Professor of Computer Science and Software Engineering, Concordia University, MontrealAdresse e-mail validée de cse.concordia.ca
Felix NaumannHasso Plattner Institute, University of PotsdamAdresse e-mail validée de hpi.de
Peter FankhauserAdresse e-mail validée de ids-mannheim.de
Wolfgang NejdlProfessor of Computer Science, Leibniz Universität Hannover, L3S Research Center, Hannover, GermanyAdresse e-mail validée de kbs.uni-hannover.de
Sabine BerglerCLaC Lab, Computer Science, Concordia UniversityAdresse e-mail validée de cse.concordia.ca
Tim RepkePIK Potsdam / MCC BerlinAdresse e-mail validée de mcc-berlin.net
Gianluca DemartiniProfessor at the University of QueenslandAdresse e-mail validée de cs.berkeley.edu
Dr. Nitisha JainPostdoctoral Research AssociateAdresse e-mail validée de kcl.ac.uk
Claudiu S. FiranAdresse e-mail validée de l3s.de
Tereza IofciuL3SAdresse e-mail validée de terezaiofciu.com
Alexander LöserProfessor for Data Science and Text-based Information SystemsAdresse e-mail validée de bht-berlin.de
Konstantina LazaridouUniversity of Potsdam, Beuth University in BerlinAdresse e-mail validée de hpi.de
Alejandro Sierra-MúneraHasso Plattner IntituteAdresse e-mail validée de hpi.de
Philipp HackerProfessor of Law and Ethics of the Digital Society, European University ViadrinaAdresse e-mail validée de europa-uni.de
Betty van AkenApplied Researcher, GrammarlyAdresse e-mail validée de bht-berlin.de
Maximilian JendersHasso Plattner InstituteAdresse e-mail validée de hpi.uni-potsdam.de
Mohamed Karim BelaidPorsche AGAdresse e-mail validée de porsche.de
Maximilian RabusDr. Ing. h.c. F. Porsche AGAdresse e-mail validée de porsche.de
Nima Dokoohaki, PhDAccentureAdresse e-mail validée de kth.se

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Ralf Krestel

ZBW - Leibniz Information Centre for Economics & Kiel University

Adresse e-mail validée de zbw.eu - Page d'accueil

Text Mining Machine Learning Information Retrieval Natural Language Processing Recommender Systems


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Latent dirichlet allocation for tag recommendation R Krestel, P Fankhauser, W Nejdl Proceedings of the third ACM conference on Recommender systems, 61-68, 2009	710	2009
Challenges for toxic comment classification: An in-depth error analysis B van Aken, J Risch, R Krestel, A Löser Proceedings of the 2nd Workshop on Abusive Language Online (ALW) co-located …, 2018	298	2018
Explainable AI under contract and tort law: legal incentives and technical challenges P Hacker, R Krestel, S Grundmann, F Naumann Artificial Intelligence and Law 28, 415-439, 2020	159	2020
A Survey on Deep Learning for Patent Analysis R Krestel, R Chikkamath, C Hewel, J Risch World Patent Information 65, 102035, 2021	116	2021
Aggression identification using deep learning and data augmentation J Risch, R Krestel Proceedings of the first workshop on trolling, aggression and cyberbullying …, 2018	107	2018
Toxic comment detection in online discussions J Risch, R Krestel Deep learning-based approaches for sentiment analysis, 85-109, 2020	103	2020
Minding the source: Automatic tagging of reported speech in newspaper articles R Krestel, S Bergler, R Witte Proceedings of the International Language Resources and Evaluation …, 2008	86	2008
Domain-specific word embeddings for patent classification J Risch, R Krestel Data Technologies and Applications 53 (1), 108-122, 2019	84	2019
Bagging BERT models for robust aggression identification J Risch, R Krestel Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying …, 2020	80	2020
Personalized topic-based tag recommendation R Krestel, P Fankhauser Neurocomputing 76 (1), 61-70, 2012	80	2012
Do embeddings actually capture knowledge graph semantics? N Jain, JC Kalo, WT Balke, R Krestel The Semantic Web: 18th International Conference, ESWC 2021, Virtual Event …, 2021	74	2021
hpiDEDIS at GermEval 2019: Offensive Language Identification using a German BERT model. J Risch, A Stoll, M Ziegele, R Krestel KONVENS, 2019	56	2019
Tag recommendation using probabilistic topic models R Krestel, P Fankhauser ECML PKDD Discovery Challenge 2009, 131, 2009	54	2009
Identifying political bias in news articles K Lazaridou, R Krestel Bulletin of the IEEE TCDL 12 (2), 1-12, 2016	52	2016
Why finding entities in Wikipedia is difficult, sometimes G Demartini, CS Firan, T Iofciu, R Krestel, W Nejdl Information Retrieval 13, 534-567, 2010	51	2010
Offensive language detection explained J Risch, R Ruff, R Krestel Proceedings of the second workshop on trolling, aggression and cyberbullying …, 2020	49	2020
Using co-occurrence of tags and resources to identify spammers R Krestel, L Chen Proceedings of 2008 ECML/PKDD Discovery Challenge Workshop, 38-46, 2008	49	2008
Delete or not delete? Semi-automatic comment moderation for the newsroom J Risch, R Krestel Proceedings of the first workshop on trolling, aggression and cyberbullying …, 2018	43	2018
ssHMM: extracting intuitive sequence-structure motifs from high-throughput RNA-binding protein data D Heller, R Krestel, U Ohler, M Vingron, A Marsico Nucleic acids research 45 (19), 11004-11018, 2017	41	2017
Diversifying product review rankings: Getting the full picture R Krestel, N Dokoohaki 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and …, 2011	40	2011

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