Niek Tax

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 55

Top Topics

Home Environments

Top Venues

Intelligent Environments

Trans. Petri Nets Other Model. Concurr.

Publications

Thomas Robinson, Niek Tax, Richard Mudd, Ido Guy
Active learning with biased non-response to label requests. Data Min. Knowl. Discov. 38 (4) (2024)
Matteo Russo, Andrea Celli, Riccardo Colini-Baldeschi, Federico Fusco, Daniel Haimovich, Dima Karamshuk, Stefano Leonardi, Niek Tax
Online Learning with Sublinear Best-Action Queries. CoRR (2024)
Takuo Matsubara, Niek Tax, Richard Mudd, Ido Guy
TCE: A Test-Based Approach to Measuring Calibration Error. UAI (2023)
Takuo Matsubara, Niek Tax, Richard Mudd, Ido Guy
TCE: A Test-Based Approach to Measuring Calibration Error. CoRR (2023)
David S. Watson, Joshua O'Hara, Niek Tax, Richard Mudd, Ido Guy
Explaining Predictive Uncertainty with Information Theoretic Shapley Values. NeurIPS (2023)
Thomas Robinson, Niek Tax, Richard Mudd, Ido Guy
Active learning with biased non-response to label requests. CoRR (2023)
Daniel Haimovich, Dima Karamshuk, Fridolin Linder, Niek Tax, Milan Vojnovic
On the convergence of loss and uncertainty-based active learning algorithms. CoRR (2023)
David S. Watson, Joshua O'Hara, Niek Tax, Richard Mudd, Ido Guy
Explaining Predictive Uncertainty with Information Theoretic Shapley Values. CoRR (2023)
Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa, Marlon Dumas, Massimiliano de Leoni, Fabrizio Maria Maggi, Matthias Weidlich
Fire now, fire later: alarm-based systems for prescriptive process monitoring. Knowl. Inf. Syst. 64 (2) (2022)
Sander J. J. Leemans, Niek Tax
Causal Reasoning over Control-Flow Decisions in Process Models. CAiSE (2022)
Niek Tax, Kees Jan de Vries, Mathijs de Jong, Nikoleta Dosoula, Bram van den Akker, Jon Smith, Olivier Thuong, Lucas Bernardi
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda. CoRR (2021)
Niek Tax, Irene Teinemaa, Sebastiaan J. van Zelst
An interdisciplinary comparison of sequence modeling methods for next-element prediction. Softw. Syst. Model. 19 (6) (2020)
Anja F. Syring, Niek Tax, Wil M. P. van der Aalst
Evaluating Conformance Measures in Process Mining Using Conformance Propositions. Trans. Petri Nets Other Model. Concurr. 14 (2019)
Niek Tax
Mining Insights from Weakly-Structured Event Data. CoRR (2019)
Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst
Discovering more precise process models from event logs by filtering out chaotic activities. J. Intell. Inf. Syst. 52 (1) (2019)
Niek Tax, Emin Alasgarov, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
Generating time-based label refinements to discover more precise process models. J. Ambient Intell. Smart Environ. 11 (2) (2019)
Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa, Marlon Dumas, Massimiliano de Leoni, Fabrizio Maria Maggi, Matthias Weidlich
Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring. CoRR (2019)
Anja F. Syring, Niek Tax, Wil M. P. van der Aalst
Evaluating Conformance Measures in Process Mining using Conformance Propositions (Extended version). CoRR (2019)
Irene Teinemaa, Niek Tax, Massimiliano de Leoni, Marlon Dumas, Fabrizio Maria Maggi
Foundations of Prescriptive Process Monitoring. CoRR (2018)
Niek Tax, Benjamin Dalmas, Natalia Sidorova, Wil M. P. van der Aalst, Sylvie Norre
Interest-driven discovery of local process models. Inf. Syst. 77 (2018)
Niek Tax, Irene Teinemaa, Sebastiaan J. van Zelst
An Interdisciplinary Comparison of Sequence Modeling Methods for Next-Element Prediction. CoRR (2018)
Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst, Reinder Haakma
LocalProcessModelDiscovery: Bringing Petri Nets to the Pattern Mining World. Petri Nets (2018)
Benjamin Dalmas, Niek Tax, Sylvie Norre
Heuristic Mining Approaches for High-Utility Local Process Models. Trans. Petri Nets Other Model. Concurr. 13 (2018)
Sander J. J. Leemans, Niek Tax, Arthur H. M. ter Hofstede
Indulpet Miner: Combining Discovery Algorithms. OTM Conferences (1) (2018)
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
Mining Local Process Models with Constraints Efficiently: Applications to the Analysis of Smart Home Data. Intelligent Environments (2018)
Irene Teinemaa, Niek Tax, Massimiliano de Leoni, Marlon Dumas, Fabrizio Maria Maggi
Alarm-Based Prescriptive Process Monitoring. BPM (Forum) (2018)
Niek Tax, Xixi Lu, Natalia Sidorova, Dirk Fahland, Wil M. P. van der Aalst
The imprecisions of precision measures in process mining. Inf. Process. Lett. 135 (2018)
Irene Teinemaa, Niek Tax, Carlos Bentes
Automatic Playlist Continuation through a Composition of Collaborative Filters. CoRR (2018)
Niek Tax
Human Activity Prediction in Smart Home Environments with LSTM Neural Networks. Intelligent Environments (2018)
Niek Tax, Sebastiaan J. van Zelst, Irene Teinemaa
An Experimental Evaluation of the Generalizing Capabilities of Process Discovery Techniques and Black-Box Sequence Models. BPMDS/EMMSAD@CAiSE (2018)
Niek Tax, Xixi Lu, Natalia Sidorova, Dirk Fahland, Wil M. P. van der Aalst
The Imprecisions of Precision Measures in Process Mining. CoRR (2017)
Djoerd Hiemstra, Niek Tax, Sander Bockting
Ranking Learning-to-Rank Methods. LEARNER@ICTIR (2017)
Felix Mannhardt, Niek Tax
Unsupervised Event Abstraction using Pattern Abstraction and Local Process Models. RADAR+EMISA@CAiSE (2017)
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
Mining Process Model Descriptions of Daily Life through Event Abstraction. CoRR (2017)
Laura Genga, Niek Tax, Nicola Zannone
Mining Local Process Models and Their Correlations. SIMPDA (Revised Selected Papers) (2017)
Niek Tax, Ilya Verenich, Marcello La Rosa, Marlon Dumas
Predictive Business Process Monitoring with LSTM Neural Networks. CAiSE (2017)
Felix Mannhardt, Niek Tax
Unsupervised Event Abstraction using Pattern Abstraction and Local Process Models. CoRR (2017)
Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst
Discovering More Precise Process Models from Event Logs by Filtering Out Chaotic Activities. CoRR (2017)
Niek Tax, Emin Alasgarov, Natalia Sidorova, Wil M. P. van der Aalst, Reinder Haakma
Time-Based Label Refinements to Discover More Precise Process Models. CoRR (2017)
Benjamin Dalmas, Niek Tax, Sylvie Norre
Heuristics for High-Utility Local Process Model Mining. ATAED@Petri Nets/ACSD (2017)
Niek Tax, Laura Genga, Nicola Zannone
On the Use of Hierarchical Subtrace Mining for Efficient Local Process Model Mining. SIMPDA (2017)
Niek Tax, Benjamin Dalmas, Natalia Sidorova, Wil M. P. van der Aalst, Sylvie Norre
Interest-Driven Discovery of Local Process Models. CoRR (2017)
Niek Tax, Marlon Dumas
Mining Non-Redundant Sets of Generalizing Patterns from Sequence Databases. CoRR (2017)
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
Log-based Evaluation of Label Splits for Process Models. CoRR (2016)
Niek Tax, Emin Alasgarov, Natalia Sidorova, Reinder Haakma
On Generation of Time-based Label Refinements. CS&P (2016)
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
Mining local process models. J. Innov. Digit. Ecosyst. 3 (2) (2016)
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
Log-based Evaluation of Label Splits for Process Models. KES (2016)
Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst, Reinder Haakma
Heuristic Approaches for Generating Local Process Models through Log Projections. CoRR (2016)
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
Mining Local Process Models. CoRR (2016)
Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst, Reinder Haakma
Heuristic approaches for generating Local Process Models through log projections. SSCI (2016)
Niek Tax, Emin Alasgarov, Natalia Sidorova, Reinder Haakma
On Generation of Time-based Label Refinements. CoRR (2016)
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
Event Abstraction for Process Mining Using Supervised Learning Techniques. IntelliSys (1) (2016)
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst
Event Abstraction for Process Mining using Supervised Learning Techniques. CoRR (2016)
Niek Tax, Ilya Verenich, Marcello La Rosa, Marlon Dumas
Predictive Business Process Monitoring with LSTM Neural Networks. CoRR (2016)
Niek Tax, Sander Bockting, Djoerd Hiemstra
A cross-benchmark comparison of 87 learning to rank methods. Inf. Process. Manag. 51 (6) (2015)
Niek Tax
Analyzing a practitioner perspective on relevance of published empirical research in Requirements Engineering. CoRR (2014)
Chintan Amrit, Niek Tax
Towards understanding the understandability of UML models. MiSE (2014)
Dan Ionita, Niek Tax, Djoerd Hiemstra
An API-based Search System for One Click Access to Information. NTCIR (2013)