Niek Tax

Orcid: 0000-0001-7239-5206

Affiliations:
  • Meta Platforms, Inc., UK


According to our database1, Niek Tax authored at least 42 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
On the convergence of loss and uncertainty-based active learning algorithms.
CoRR, 2023

Active learning with biased non-response to label requests.
CoRR, 2023

TCE: A Test-Based Approach to Measuring Calibration Error.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Explaining Predictive Uncertainty with Information Theoretic Shapley Values.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Fire now, fire later: alarm-based systems for prescriptive process monitoring.
Knowl. Inf. Syst., 2022

Causal Reasoning over Control-Flow Decisions in Process Models.
Proceedings of the Advanced Information Systems Engineering, 2022

2021
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda.
CoRR, 2021

2020
An interdisciplinary comparison of sequence modeling methods for next-element prediction.
Softw. Syst. Model., 2020

2019
Evaluating Conformance Measures in Process Mining Using Conformance Propositions.
Trans. Petri Nets Other Model. Concurr., 2019

Discovering more precise process models from event logs by filtering out chaotic activities.
J. Intell. Inf. Syst., 2019

Generating time-based label refinements to discover more precise process models.
J. Ambient Intell. Smart Environ., 2019

Evaluating Conformance Measures in Process Mining using Conformance Propositions (Extended version).
CoRR, 2019

Mining Insights from Weakly-Structured Event Data.
CoRR, 2019

2018
Heuristic Mining Approaches for High-Utility Local Process Models.
Trans. Petri Nets Other Model. Concurr., 2018

Interest-driven discovery of local process models.
Inf. Syst., 2018

The imprecisions of precision measures in process mining.
Inf. Process. Lett., 2018

Automatic Playlist Continuation through a Composition of Collaborative Filters.
CoRR, 2018

Foundations of Prescriptive Process Monitoring.
CoRR, 2018

Indulpet Miner: Combining Discovery Algorithms.
Proceedings of the On the Move to Meaningful Internet Systems. OTM 2018 Conferences, 2018

Mining Local Process Models with Constraints Efficiently: Applications to the Analysis of Smart Home Data.
Proceedings of the 14th International Conference on Intelligent Environments, 2018

Human Activity Prediction in Smart Home Environments with LSTM Neural Networks.
Proceedings of the 14th International Conference on Intelligent Environments, 2018

An Experimental Evaluation of the Generalizing Capabilities of Process Discovery Techniques and Black-Box Sequence Models.
Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2018

Alarm-Based Prescriptive Process Monitoring.
Proceedings of the Business Process Management Forum, 2018

LocalProcessModelDiscovery: Bringing Petri Nets to the Pattern Mining World.
Proceedings of the Application and Theory of Petri Nets and Concurrency, 2018

2017
Mining Non-Redundant Sets of Generalizing Patterns from Sequence Databases.
CoRR, 2017

Mining Process Model Descriptions of Daily Life through Event Abstraction.
CoRR, 2017

Time-Based Label Refinements to Discover More Precise Process Models.
CoRR, 2017

On the Use of Hierarchical Subtrace Mining for Efficient Local Process Model Mining.
Proceedings of the 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017), 2017

Mining Local Process Models and Their Correlations.
Proceedings of the Data-Driven Process Discovery and Analysis, 2017

Ranking Learning-to-Rank Methods.
Proceedings of the 1st International Workshop on LEARning Next gEneration Rankers co-located with the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017), 2017

Unsupervised Event Abstraction using Pattern Abstraction and Local Process Models.
Proceedings of the Joint Proceedings of the Radar tracks at the 18th International Working Conference on Business Process Modeling, 2017

Predictive Business Process Monitoring with LSTM Neural Networks.
Proceedings of the Advanced Information Systems Engineering, 2017

Heuristics for High-Utility Local Process Model Mining.
Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2017 Satellite event of the conferences: 38th International Conference on Application and Theory of Petri Nets and Concurrency Petri Nets 2017 and 17th International Conference on Application of Concurrency to System Design ACSD 2017, 2017

2016
Mining local process models.
J. Innov. Digit. Ecosyst., 2016

Heuristic approaches for generating Local Process Models through log projections.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Log-based Evaluation of Label Splits for Process Models.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

Event Abstraction for Process Mining Using Supervised Learning Techniques.
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

On Generation of Time-based Label Refinements.
Proceedings of the 25th International Workshop on Concurrency, 2016

2015
A cross-benchmark comparison of 87 learning to rank methods.
Inf. Process. Manag., 2015

2014
Analyzing a practitioner perspective on relevance of published empirical research in Requirements Engineering.
CoRR, 2014

Towards understanding the understandability of UML models.
Proceedings of the 6th International Workshop on Modeling in Software Engineering, 2014

2013
An API-based Search System for One Click Access to Information.
Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies, 2013


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