Sebastiaan van Zelst

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	All	Since 2016
Citations	601	593
h-index	14	14
i10-index	21	19

280

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20152016201720182019202020215 26 38 97 129 275 27

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Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Fraunhofer FIT || TU/e || TiUVerified email at pads.rwth-aachen.de
Boudewijn van DongenProfessor of Computer Science, Eindhoven University of TechnologyVerified email at tue.nl
MohammadReza Fani SaniPhD candidateVerified email at pads.rwth-aachen.de
Alfredo BoltEindhoven University of TechnologyVerified email at tue.nl
Alessandro BertiPADS RWTHVerified email at pads.rwth-aachen.de
Niek TaxBooking.comVerified email at booking.com
Marwan HassaniAssistant Professor of Computer Science at TU/eVerified email at tue.nl
Irene TeinemaaData Scientist at Booking.comVerified email at booking.com
Eric VerbeekScientific Engineer, Eindhoven University of TechnologyVerified email at tue.nl
Andrea BurattinAssociate Professor, Technical University of DenmarkVerified email at dtu.dk
Ezpeleta JoaquínZaragozaVerified email at unizar.es
Alireza OstovarProcess DiamondVerified email at processdiamond.com
Raffaele ConfortiDirector & Co-founder of Process DiamondVerified email at processdiamond.com
Marcello La RosaSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Borja Vázquez BarreirosPhD, Alumni from CiTIUS, Universidade de Santiago de Compostela (USC)Verified email at usc.es
Manuel MucientesUniversity of Santiago de Compostela (Spain)Verified email at usc.es
Manuel LamaCiTIUS, University of Santiago de CompostelaVerified email at usc.es
Joos Buijsformer Assistant professor, Eindhoven University of TechnologyVerified email at tue.nl
Jaco van de PolProfessor of Computer Science, Aarhus UniversityVerified email at cs.au.dk
Josep CarmonaAssociate Professor, Universitat Politècnica de CatalunyaVerified email at cs.upc.edu

Sebastiaan van Zelst

Fraunhofer FIT | RWTH Aachen University

Verified email at fit.fraunhofer.de - Homepage

Process Mining Data Mining Artificial Intelligence


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Process mining for python (PM4Py): bridging the gap between process-and data science A Berti, SJ van Zelst, W van der Aalst arXiv preprint arXiv:1905.06169, 2019	60	2019
RapidProM: mine your processes and not just your data WMP van der Aalst, A Bolt, SJ van Zelst arXiv preprint arXiv:1703.03740, 2017	47	2017
Online conformance checking: relating event streams to process models using prefix-alignments SJ van Zelst, A Bolt, M Hassani, BF van Dongen, WMP van der Aalst International Journal of Data Science and Analytics 8 (3), 269-284, 2019	46	2019
Event stream-based process discovery using abstract representations SJ van Zelst, BF van Dongen, WMP van der Aalst Knowledge and Information Systems, 2017	36	2017
Improving process discovery results by filtering outliers using conditional behavioural probabilities MF Sani, SJ van Zelst, WMP van der Aalst International Conference on Business Process Management, 216-229, 2017	33	2017
Avoiding over-fitting in ILP-based process discovery SJ van Zelst, BF van Dongen, WMP van der Aalst International conference on business process management, 163-171, 2016	33	2016
Discovering workflow nets using integer linear programming SJ van Zelst, BF van Dongen, WMP van der Aalst, HMW Verbeek Computing 100 (5), 529-556, 2018	31	2018
ILP-Based Process Discovery Using Hybrid Regions. SJ van Zelst, BF van Dongen, WMP van der Aalst ATAED@ petri nets/ACSD, 47-61, 2015	24	2015
Online conformance checking using behavioural patterns A Burattin, SJ van Zelst, A Armas-Cervantes, BF van Dongen, J Carmona International Conference on Business Process Management, 250-267, 2018	22	2018
Handling big (ger) logs: Connecting prom 6 to apache hadoop S Hernández, WMP Van der Aalst, SJ Van Zelst, J Ezpeleta CEUR workshop proc., 2015	21	2015
An interdisciplinary comparison of sequence modeling methods for next-element prediction N Tax, I Teinemaa, SJ van Zelst Software and Systems Modeling 19 (6), 1345-1365, 2020	20	2020
Automated robotic process automation: A self-learning approach J Gao, SJ van Zelst, X Lu, WMP van der Aalst OTM Confederated International Conferences" On the Move to Meaningful …, 2019	20	2019
Repairing outlier behaviour in event logs MF Sani, SJ van Zelst, WMP van der Aalst International Conference on Business Information Systems, 115-131, 2018	16	2018
Filtering spurious events from event streams of business processes SJ van Zelst, MF Sani, A Ostovar, R Conforti, M La Rosa International Conference on Advanced Information Systems Engineering, 35-52, 2018	15	2018
Scenario-based prediction of business processes using system dynamics M Pourbafrani, SJ van Zelst, WMP van der Aalst OTM Confederated International Conferences" On the Move to Meaningful …, 2019	13	2019
Applying sequence mining for outlier detection in process mining MF Sani, SJ van Zelst, WMP van der Aalst OTM Confederated International Conferences" On the Move to Meaningful …, 2018	11	2018
Tuning Alignment Computation: An Experimental Evaluation SJ van Zelst, A Bolt, BF van Dongen ATAED, 2017	11	2017
Data Streams in ProM 6: A Single-node Architecture. SJ van Zelst, A Burattin, BF van Dongen, HMW Verbeek BPM (Demos), 81, 2014	11	2014
The impact of event log subset selection on the performance of process discovery algorithms MF Sani, SJ van Zelst, WMP van der Aalst European Conference on Advances in Databases and Information Systems, 391-404, 2019	10	2019
Assessing process discovery scalability in data intensive environments S Hernández, J Ezpeleta, SJ van Zelst, WMP van der Aalst 2015 IEEE/ACM 2nd International Symposium on Big Data Computing (BDC), 99-104, 2015	10	2015

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