Niek Tax

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Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de
Natalia SidorovaTechnische Universiteit EindhovenVerified email at tue.nl
Marlon DumasProfessor at University of Tartu | Co-founder at ApromoreVerified email at ut.ee
Irene TeinemaaDeepMindVerified email at deepmind.com
Ilya VerenichSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Marcello La RosaSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Djoerd HiemstraRadboud UniversityVerified email at cs.ru.nl
Sebastiaan van ZelstCelonisVerified email at celonis.com
Fabrizio MaggiAssociate Professor, Free University of Bozen-BolzanoVerified email at ut.ee
Massimiliano de LeoniAssociate Professor of Computer Science, University of PadovaVerified email at math.unipd.it
Emin AlasgarovChief Data Officer, Unibank. Adjunct Instructor, ADA UniversityVerified email at ada.edu.az
Benjamin DALMASResearcherVerified email at crim.ca
Dirk FahlandAssociate Professor in Computer Science, Eindhoven University of TechnologyVerified email at tue.nl
Xixi LuAssistant Professor at Utrecht UniversityVerified email at uu.nl
Sander J.J. LeemansRWTH UniversityVerified email at bpm.rwth-aachen.de
Matthias WeidlichHumboldt-Universität zu BerlinVerified email at hu-berlin.de
Stephan A. Fahrenkrog-PetersenWeizenbaum Institute for the Networked SocietyVerified email at hu-berlin.de
Felix MannhardtAssistant Professor Eindhoven University of TechnologyVerified email at tue.nl
Nicola ZannoneEindhoven University of TechnologyVerified email at tue.nl
Laura GengaEindhoven University of TechnlogyVerified email at tue.nl

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Machine Learning Sequence Models Data Mining Pattern Mining Process Mining


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Predictive business process monitoring with LSTM neural networks N Tax, I Verenich, M La Rosa, M Dumas Proceedings of the International Conference on Advanced Information Systems …, 2017	510	2017
Mining local process models N Tax, N Sidorova, R Haakma, WMP van der Aalst Journal of Innovation in Digital Ecosystems 3 (2), 183-196, 2016	125	2016
Event abstraction for process mining using supervised learning techniques N Tax, N Sidorova, R Haakma, WMP van der Aalst Proceedings of the SAI Intelligent Systems Conference, 2016	113	2016
A cross-benchmark comparison of 87 learning to rank methods N Tax, S Bockting, D Hiemstra Information processing & management 51 (6), 757-772, 2015	105	2015
Discovering More Precise Process Models from Event Logs by Filtering Out Chaotic Activities N Tax, N Sidorova, WMP van der Aalst Journal of Intelligent Information Systems, 1-33, 2017	91	2017
Predicting The Dutch Football Competition Using Public Data: A Machine Learning Approach N Tax, Y Joustra 2014, 2014	76	2014
The Imprecisions of Precision Measures in Process Mining N Tax, X Lu, N Sidorova, D Fahland, WMP van der Aalst Information Processing Letters 135, 1-8, 2018	72	2018
An interdisciplinary comparison of sequence modeling methods for next-element prediction N Tax, I Teinemaa, SJ van Zelst Software and Systems Modeling 19, 1345-1365, 2020	52	2020
Fire now, fire later: alarm-based systems for prescriptive process monitoring SA Fahrenkrog-Petersen, N Tax, I Teinemaa, M Dumas, M de Leoni, ... Knowledge and Information Systems, 2021	48	2021
Alarm-based prescriptive process monitoring I Teinemaa, N Tax, M de Leoni, M Dumas, FM Maggi Business Process Management Forum: BPM Forum 2018, Sydney, NSW, Australia …, 2018	48	2018
Unsupervised Event Abstraction using Pattern Abstraction and Local Process Models F Mannhardt, N Tax International Working Conference on Business Process Modeling, Development …, 2017	47	2017
Evaluating conformance measures in process mining using conformance propositions AF Syring, N Tax, WMP van der Aalst Transactions on Petri Nets and Other Models of Concurrency XIV, 192-221, 2019	45	2019
Human Activity Prediction in Smart Home Environments with LSTM Neural Networks N Tax Proceedings of the International Conference on Intelligent Environments, 2018	43	2018
Mining Process Model Descriptions of Daily Life through Event Abstraction N Tax, N Sidorova, R Haakma, WMP van der Aalst Intelligent Systems and Applications 751, 2017	39	2017
Heuristic approaches for generating local process models through log projections N Tax, N Sidorova, WMP van der Aalst, R Haakma Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2016	33	2016
Interest-Driven Discovery of Local Process Models N Tax, B Dalmas, N Sidorova, WMP van der Aalst, S Norre Information Systems, 2018	18	2018
Generating Time-Based Label Refinements to Discover More Precise Process Models N Tax, E Alasgarov, N Sidorova, R Haakma, WMP van der Aalst Journal of Ambient Intelligence and Smart Environments 11 (2), 165-182, 2019	16	2019
Log-based evaluation of label splits for process models N Tax, N Sidorova, R Haakma, WMP van der Aalst Procedia Computer Science 96, 63-72, 2016	16	2016
On generation of time-based label refinements N Tax, E Alasgarov, N Sidorova, R Haakma Proceedings of the 25th International Workshop on Concurrency, Specification …, 2016	15	2016
Indulpet miner: Combining discovery algorithms SJJ Leemans, N Tax, AHM ter Hofstede On the Move to Meaningful Internet Systems. OTM 2018 Conferences …, 2018	14	2018

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