Maurice van Keulen

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Torsten GrustProfessor of Computer Science, University of Tübingen, GermanyVerified email at uni-tuebingen.de
Ander de KeijzerLector Data Science, Avans University of Applied SciencesVerified email at avans.nl
Jens TeubnerTU Dortmund University; Lamarr Institute for Machine Learning and Artificial IntelligenceVerified email at cs.tu-dortmund.de
Christin SeifertUniversity of Marburg / Hessian.AIVerified email at uni-marburg.de
Peter BonczProfessor, VU University Amsterdam & CWIVerified email at cwi.nl
Mena B. HabibFormer Assistant Professor, Maastricht University, The NetherlandsVerified email at maastrichtuniversity.nl
Shreyasi PathakPhD candidate, University of TwenteVerified email at utwente.nl
Stefan ManegoldProfessor for Data Managment & Group leader Database Architectures, CWI & Leiden UniversityVerified email at cwi.nl
Jan FlokstraSofware Engineer, University of TwenteVerified email at cs.utwente.nl
Jörg SchlöttererUniversity of Marburg / Hessian.AI; University of MannheimVerified email at uni-marburg.de
Meike NautaDatacation, TU EindhovenVerified email at tue.nl
jeroen geerdinkinnovation managerVerified email at zgt.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
Paolo CeravoloUniversità degli Studi di MilanoVerified email at unimi.it
Elisa NguyenUniversity of TübingenVerified email at uni-tuebingen.de
Victor de GraaffUniversity of TwenteVerified email at utwente.nl
Mohammadreza khelghatiUniversity of TwenteVerified email at utwente.nl
Jan TrienesUniversity of MarburgVerified email at uni-marburg.de

Maurice van Keulen

Adjunct Professor Data Science Robustness, University of Twente

Verified email at utwente.nl - Homepage

Data Quality Probabilistic Databases Information Extraction Data Integration ML Robustness


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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, ... ACM Computing Surveys 55 (13s), 1-42, 2023	490	2023
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	412	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	239	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	213	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	170	2005
Big data semantics P Ceravolo, A Azzini, M Angelini, T Catarci, P Cudré-Mauroux, E Damiani, ... Journal on Data Semantics 7, 65-85, 2018	83	2018
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification M Nauta, J Schlötterer, M van Keulen, C Seifert Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	81	2023
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	71	2009
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	66	2012
Pathfinder: XQuery-the relational way P Boncz, T Grust, M van Keulen, S Manegold, J Rittinger, J Teubner 31st International Conference on Very Large Data Bases, VLDB 2005, 1322-1325, 2005	61	2005
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	50	2020
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	49	2009
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	48	2017
Tree awareness for relational DBMS kernels: Staircase join T Grust, M Van Keulen Intelligent Search on XML Data, 231-245, 2003	45	2003
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
Information Extraction for Social Media MB Habib, M van Keulen SWAIE 2014, 9, 2014	35*	2014
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	30	2010
Managing uncertainty: The road towards better data interoperability M van Keulen it-Information Technology Methoden und innovative Anwendungen der Informatik …, 2012	26	2012
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	25	2012

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