Maurice van Keulen

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Torsten GrustProfessor of Computer Science, University of Tübingen, GermanyVerified email at uni-tuebingen.de
Jens TeubnerSenior Researcher, ETH Zurich, Systems GroupVerified email at inf.ethz.ch
Peter BonczProfessor, VU University Amsterdam & CWIVerified email at cwi.nl
Stefan ManegoldProfessor for Data Managment & Group leader Database Architectures, CWI & Leiden UniversityVerified email at cwi.nl
Mena B. HabibFormer Assistant Professor, Maastricht University, The NetherlandsVerified email at maastrichtuniversity.nl
Jan FlokstraSofware Engineer, University of TwenteVerified email at cs.utwente.nl
Rolf A. de ByAssociate professor of Geoinformation ProcessingVerified email at utwente.nl
Djoerd HiemstraRadboud UniversityVerified email at cs.ru.nl
Willem JonkerProfessor Database Technology, University of Twente, the NetherlandsVerified email at utwente.nl
Victor de GraaffUniversity of TwenteVerified email at utwente.nl
Paolo CeravoloUniversità degli Studi di MilanoVerified email at unimi.it
Mohammadreza khelghatiUniversity of TwenteVerified email at utwente.nl
Brend WandersUniversity of TwenteVerified email at utwente.nl
Peter M.G. Apersem. professor of Computer Science, University of TwenteVerified email at utwente.nl
Marieke HuismanVerified email at ewi.utwente.nl
Lesley WeversUniversity of TwenteVerified email at utwente.nl
Arjen P. de VriesRadboud UniversiteitVerified email at cs.ru.nl
Stojan TrajanovskiMicrosoftVerified email at microsoft.com
Chintan AmritAmsterdam Business School, University of AmsterdamVerified email at uva.nl
Sjoerd van der SpoelPhD student, University of TwenteVerified email at utwente.nl

Maurice van Keulen

Associate Professor Data Science Robustness, University of Twente

Verified email at utwente.nl - Homepage

Data Quality and Uncertainty Probabilistic Databases Information Extraction Data Integration Explainable AI


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MonetDB/XQuery: a fast XQuery processor powered by a relational engine P Boncz, T Grust, M van Keulen, S Manegold, J Rittinger, J Teubner Proceedings of the 2006 ACM SIGMOD international conference on Management of …, 2006	415	2006
Staircase join: Teach a relational DBMS to watch its (axis) steps T Grust, M van Keulen, J Teubner Proceedings of the 29th international conference on Very large data bases …, 2003	240	2003
Accelerating XPath evaluation in any RDBMS T Grust, M van Keulen, J Teubner ACM Transactions on Database Systems (TODS) 29 (1), 91-131, 2004	211	2004
A probabilistic XML approach to data integration M Van Keulen, A De Keijzer, W Alink 21st International Conference on Data Engineering (ICDE'05), 459-470, 2005	166	2005
Qualitative effects of knowledge rules and user feedback in probabilistic data integration M van Keulen, A de Keijzer The VLDB Journal 18 (5), 1191-1217, 2009	66	2009
Pathfinder: XQuery---the relational way P Boncz, T Grust, M van Keulen, S Manegold, J Rittinger, J Teubner Proceedings of the 31st international conference on Very large data bases …, 2005	61	2005
Big Data Semantics P Ceravolo, A Azzini, M Angelini, T Catarci, P Cudré-Mauroux, E Damiani, ... Journal on Data Semantics 7 (2), 65-85, 2018	58	2018
Process prediction in noisy data sets: a case study in a dutch hospital S Spoel, M Keulen, C Amrit International symposium on data-driven process discovery and analysis, 60-83, 2012	54	2012
Tree awareness for relational DBMS kernels: Staircase join T Grust, M Van Keulen Intelligent Search on XML Data, 231-245, 2003	46	2003
ROX: run-time optimization of XQueries R Abdel Kader, P Boncz, S Manegold, M Van Keulen Proceedings of the 2009 ACM SIGMOD International Conference on Management of …, 2009	45	2009
Using element clustering to increase the efficiency of xml schema matching M Smiljanic, M van Keulen, W Jonker Data Engineering Workshops, 2006. Proceedings. 22nd International Conference …, 2006	40	2006
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI M Nauta, J Trienes, S Pathak, E Nguyen, M Peters, Y Schmitt, ... arXiv preprint arXiv:2201.08164, 2022	36	2022
Deep Physiological Arousal Detection in a Driving Simulator using Wearable Sensors A Saeed, S Trajanovski, M van Keulen, J van Erp IEEE International Conference on Data Miningworkshop: Data Mining in …, 2017	36	2017
Formalizing the XML schema matching problem as a constraint optimization problem M Smiljanić, M Keulen, W Jonker International Conference on Database and Expert Systems Applications, 333-342, 2005	35	2005
Duplicate detection in probabilistic data F Panse, M Van Keulen, A De Keijzer, N Ritter Data Engineering Workshops (ICDEW), 2010 IEEE 26th International Conference …, 2010	27	2010
Information Extraction for Social Media MB Habib, M van Keulen SWAIE 2014, 9, 2014	25*	2014
Unsupervised improvement of named entity extraction in short informal context using disambiguation clues MB Habib, M van Keulen CEUR-WS. org 925, 1-10, 2012	24	2012
Predicting parking occupancy via machine learning in the web of things JC Provoost, A Kamilaris, LJJ Wismans, SJ van der Drift, M van Keulen Internet of Things 12, 100301, 2020	22	2020
Automated semantic trajectory annotation with indoor point-of-interest visits in urban areas V de Graaff, RA de By, M van Keulen Proceedings of the 31st Annual ACM Symposium on Applied Computing, 552-559, 2016	22	2016
Managing uncertainty: The road towards better data interoperability M van Keulen it-Information Technology Methoden und innovative Anwendungen der Informatik …, 2012	22	2012

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