Niek Tax

68 papers A* 3A 3B 4C 1Journal 43Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Agentic Business Process Management: A Research Manifesto.
CoRR
Diego Calvanese, Angelo Casciani, Giuseppe De Giacomo, Marlon Dumas, Fabiana Fournier, Timotheus Kampik, Emanuele La Malfa, Lior Limonad, Andrea Marrella, Andreas Metzger, Marco Montali, Daniel Amyot, Peter Fettke, Artem Polyvyanyy, Stefanie Rinderle-Ma, Sebastian Sardiña, Niek Tax, Barbara Weber
2026 J jnl
Agentic Business Process Management: A research manifesto.
Inf. Syst.
Diego Calvanese, Angelo Casciani, Giuseppe De Giacomo, Marlon Dumas, Fabiana Fournier, Timotheus Kampik, Emanuele La Malfa, Lior Limonad, Andrea Marrella, Andreas Metzger, Marco Montali, Daniel Amyot, Peter Fettke, Artem Polyvyanyy, Stefanie Rinderle-Ma, Sebastian Sardiña, Niek Tax, Barbara Weber
2026 — conf
MCGrad: Multicalibration at Web Scale.
KDD (1)
Niek Tax, Lorenzo Perini, Fridolin Linder, Daniel Haimovich, Dima Karamshuk, Nastaran Okati, Milan Vojnovic, Pavlos Athanasios Apostolopoulos
2026 J jnl
On the Convergence of Multicalibration Gradient Boosting.
CoRR
Daniel Haimovich, Fridolin Linder, Lorenzo Perini, Niek Tax, Milan Vojnovic
2025 J jnl
MCGrad: Multicalibration at Web Scale.
CoRR
Lorenzo Perini, Daniel Haimovich, Fridolin Linder, Niek Tax, Dima Karamshuk, Milan Vojnovic, Nastaran Okati, Pavlos Athanasios Apostolopoulos
2025 J jnl
Measuring multi-calibration.
CoRR
Ido Guy, Daniel Haimovich, Fridolin Linder, Nastaran Okati, Lorenzo Perini, Niek Tax, Mark Tygert
2025 J jnl
Multicalibration yields better matchings.
CoRR
Riccardo Colini-Baldeschi, Simone Di Gregorio, Simone Fioravanti, Federico Fusco, Ido Guy, Daniel Haimovich, Stefano Leonardi, Fridolin Linder, Lorenzo Perini, Matteo Russo, Niek Tax
2025 — conf
Toward Self-Modifying Autonomous Business Process Systems.
PMAI
Achiya Elyasaf, Andreas Metzger, Sebastian Sardina, Arik Senderovich, Estefanía Serral Asensio, Niek Tax
2024 J jnl
Active learning with biased non-response to label requests.
Data Min. Knowl. Discov.
Thomas Robinson, Niek Tax, Richard Mudd, Ido Guy
2024 A* conf
On the Convergence of Loss and Uncertainty-based Active Learning Algorithms.
NeurIPS
Daniel Haimovich, Dima Karamshuk, Fridolin Linder, Niek Tax, Milan Vojnovic
2024 A* conf
Online Learning with Sublinear Best-Action Queries.
NeurIPS
Matteo Russo, Andrea Celli, Riccardo Colini-Baldeschi, Federico Fusco, Daniel Haimovich, Dima Karamshuk, Stefano Leonardi, Niek Tax
2024 J jnl
Online Learning with Sublinear Best-Action Queries.
CoRR
Matteo Russo, Andrea Celli, Riccardo Colini-Baldeschi, Federico Fusco, Daniel Haimovich, Dima Karamshuk, Stefano Leonardi, Niek Tax
2023 J jnl
Active learning with biased non-response to label requests.
CoRR
Thomas Robinson, Niek Tax, Richard Mudd, Ido Guy
2023 A* conf
Explaining Predictive Uncertainty with Information Theoretic Shapley Values.
NeurIPS
David S. Watson, Joshua O'Hara, Niek Tax, Richard Mudd, Ido Guy
2023 J jnl
Explaining Predictive Uncertainty with Information Theoretic Shapley Values.
CoRR
David S. Watson, Joshua O'Hara, Niek Tax, Richard Mudd, Ido Guy
2023 J jnl
On the convergence of loss and uncertainty-based active learning algorithms.
CoRR
Daniel Haimovich, Dima Karamshuk, Fridolin Linder, Niek Tax, Milan Vojnovic
2023 A conf
TCE: A Test-Based Approach to Measuring Calibration Error.
UAI
Takuo Matsubara, Niek Tax, Richard Mudd, Ido Guy
2023 J jnl
TCE: A Test-Based Approach to Measuring Calibration Error.
CoRR
Takuo Matsubara, Niek Tax, Richard Mudd, Ido Guy
2022 A conf
Causal Reasoning over Control-Flow Decisions in Process Models.
CAiSE
Sander J. J. Leemans, Niek Tax
2022 J jnl
Fire now, fire later: alarm-based systems for prescriptive process monitoring.
Knowl. Inf. Syst.
Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa, Marlon Dumas, Massimiliano de Leoni, Fabrizio Maria Maggi, Matthias Weidlich
2021 J jnl
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda.
CoRR
Niek Tax, Kees Jan de Vries, Mathijs de Jong, Nikoleta Dosoula, Bram van den Akker, Jon Smith, Olivier Thuong, Lucas Bernardi
2020 J jnl
An interdisciplinary comparison of sequence modeling methods for next-element prediction.
Softw. Syst. Model.
Niek Tax, Irene Teinemaa, Sebastiaan J. van Zelst
2019 J jnl
Discovering more precise process models from event logs by filtering out chaotic activities.
J. Intell. Inf. Syst.
Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst
2019 J jnl
Evaluating Conformance Measures in Process Mining Using Conformance Propositions.
Trans. Petri Nets Other Model. Concurr.
Anja F. Syring, Niek Tax, Wil M. P. van der Aalst
2019 J jnl
Evaluating Conformance Measures in Process Mining using Conformance Propositions (Extended version).
CoRR
Anja F. Syring, Niek Tax, Wil M. P. van der Aalst
2019 J jnl
Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring.
CoRR
Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa, Marlon Dumas, Massimiliano de Leoni, Fabrizio Maria Maggi, Matthias Weidlich
2019 J jnl
Generating time-based label refinements to discover more precise process models.
J. Ambient Intell. Smart Environ.
Niek Tax, Emin Alasgarov, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
2019 J jnl
Mining Insights from Weakly-Structured Event Data.
CoRR
Niek Tax
2018 — conf
Alarm-Based Prescriptive Process Monitoring.
BPM (Forum)
Irene Teinemaa, Niek Tax, Massimiliano de Leoni, Marlon Dumas, Fabrizio Maria Maggi
2018 — conf
An Experimental Evaluation of the Generalizing Capabilities of Process Discovery Techniques and Black-Box Sequence Models.
BPMDS/EMMSAD@CAiSE
Niek Tax, Sebastiaan J. van Zelst, Irene Teinemaa
2018 J jnl
An Interdisciplinary Comparison of Sequence Modeling Methods for Next-Element Prediction.
CoRR
Niek Tax, Irene Teinemaa, Sebastiaan J. van Zelst
2018 J jnl
Automatic Playlist Continuation through a Composition of Collaborative Filters.
CoRR
Irene Teinemaa, Niek Tax, Carlos Bentes
2018 J jnl
Foundations of Prescriptive Process Monitoring.
CoRR
Irene Teinemaa, Niek Tax, Massimiliano de Leoni, Marlon Dumas, Fabrizio Maria Maggi
2018 J jnl
Heuristic Mining Approaches for High-Utility Local Process Models.
Trans. Petri Nets Other Model. Concurr.
Benjamin Dalmas, Niek Tax, Sylvie Norre
2018 B conf
Human Activity Prediction in Smart Home Environments with LSTM Neural Networks.
Intelligent Environments
Niek Tax
2018 — conf
Indulpet Miner: Combining Discovery Algorithms.
OTM Conferences (1)
Sander J. J. Leemans, Niek Tax, Arthur H. M. ter Hofstede
2018 J jnl
Interest-driven discovery of local process models.
Inf. Syst.
Niek Tax, Benjamin Dalmas, Natalia Sidorova, Wil M. P. van der Aalst, Sylvie Norre
2018 B conf
LocalProcessModelDiscovery: Bringing Petri Nets to the Pattern Mining World.
Petri Nets
Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst, Reinder Haakma
2018 B conf
Mining Local Process Models with Constraints Efficiently: Applications to the Analysis of Smart Home Data.
Intelligent Environments
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
2018 J jnl
The imprecisions of precision measures in process mining.
Inf. Process. Lett.
Niek Tax, Xixi Lu, Natalia Sidorova, Dirk Fahland, Wil M. P. van der Aalst
2017 J jnl
Discovering More Precise Process Models from Event Logs by Filtering Out Chaotic Activities.
CoRR
Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst
2017 — conf
Heuristics for High-Utility Local Process Model Mining.
ATAED@Petri Nets/ACSD
Benjamin Dalmas, Niek Tax, Sylvie Norre
2017 J jnl
Interest-Driven Discovery of Local Process Models.
CoRR
Niek Tax, Benjamin Dalmas, Natalia Sidorova, Wil M. P. van der Aalst, Sylvie Norre
2017 — conf
Mining Local Process Models and Their Correlations.
SIMPDA (Revised Selected Papers)
Laura Genga, Niek Tax, Nicola Zannone
2017 J jnl
Mining Non-Redundant Sets of Generalizing Patterns from Sequence Databases.
CoRR
Niek Tax, Marlon Dumas
2017 J jnl
Mining Process Model Descriptions of Daily Life through Event Abstraction.
CoRR
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
2017 — conf
On the Use of Hierarchical Subtrace Mining for Efficient Local Process Model Mining.
SIMPDA
Niek Tax, Laura Genga, Nicola Zannone
2017 A conf
Predictive Business Process Monitoring with LSTM Neural Networks.
CAiSE
Niek Tax, Ilya Verenich, Marcello La Rosa, Marlon Dumas
2017 — conf
Ranking Learning-to-Rank Methods.
LEARNER@ICTIR
Djoerd Hiemstra, Niek Tax, Sander Bockting
2017 J jnl
The Imprecisions of Precision Measures in Process Mining.
CoRR
Niek Tax, Xixi Lu, Natalia Sidorova, Dirk Fahland, Wil M. P. van der Aalst
2017 J jnl
Time-Based Label Refinements to Discover More Precise Process Models.
CoRR
Niek Tax, Emin Alasgarov, Natalia Sidorova, Wil M. P. van der Aalst, Reinder Haakma
2017 — conf
Unsupervised Event Abstraction using Pattern Abstraction and Local Process Models.
RADAR+EMISA@CAiSE
Felix Mannhardt, Niek Tax
2017 J jnl
Unsupervised Event Abstraction using Pattern Abstraction and Local Process Models.
CoRR
Felix Mannhardt, Niek Tax
2016 — conf
Event Abstraction for Process Mining Using Supervised Learning Techniques.
IntelliSys (1)
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
2016 J jnl
Event Abstraction for Process Mining using Supervised Learning Techniques.
CoRR
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
2016 J jnl
Heuristic Approaches for Generating Local Process Models through Log Projections.
CoRR
Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst, Reinder Haakma
2016 — conf
Heuristic approaches for generating Local Process Models through log projections.
SSCI
Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst, Reinder Haakma
2016 B conf
Log-based Evaluation of Label Splits for Process Models.
KES
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
2016 J jnl
Log-based Evaluation of Label Splits for Process Models.
CoRR
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
2016 J jnl
Mining Local Process Models.
CoRR
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
2016 J jnl
Mining local process models.
J. Innov. Digit. Ecosyst.
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
2016 — conf
On Generation of Time-based Label Refinements.
CS&P
Niek Tax, Emin Alasgarov, Natalia Sidorova, Reinder Haakma
2016 J jnl
On Generation of Time-based Label Refinements.
CoRR
Niek Tax, Emin Alasgarov, Natalia Sidorova, Reinder Haakma
2016 J jnl
Predictive Business Process Monitoring with LSTM Neural Networks.
CoRR
Niek Tax, Ilya Verenich, Marcello La Rosa, Marlon Dumas
2015 J jnl
A cross-benchmark comparison of 87 learning to rank methods.
Inf. Process. Manag.
Niek Tax, Sander Bockting, Djoerd Hiemstra
2014 J jnl
Analyzing a practitioner perspective on relevance of published empirical research in Requirements Engineering.
CoRR
Niek Tax
2014 C conf
Towards understanding the understandability of UML models.
MiSE
Chintan Amrit, Niek Tax
2013 — conf
An API-based Search System for One Click Access to Information.
NTCIR
Dan Ionita, Niek Tax, Djoerd Hiemstra