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Niek Tax

Eindhoven University of Technology

33 papers hereh-index 171.6k citations57 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author14
  • middle author15
  • last author2

Across the 33 of 33 papers where every author was matched, so the position is known.

fields
  • cs.LG14
  • cs.DB6
  • cs.AI4
  • stat.ML3
  • stat.ME2
  • cs.DS1
affiliations
  • Eindhoven University of Technology
Homepage
same name
  • Niek Tax — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142026
most citedPredictive Business Process Monitoring with LSTM Neural Networks

527 citations · 967 across the 30 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Multicalibration for Unbiased Model-Based Prevalence Estimation

Fridolin Linder, Thomas Leeper, Daniel Haimovich +3

Estimating the prevalence of a category in a population using imperfect measurement devices (diagnostic tests, classifiers, or large language models) is fundamental to science, pub…

cs.AI2026

Agentic Business Process Management: A Research Manifesto

Diego Calvanese, Angelo Casciani, Giuseppe De Giacomo +15

This paper presents a manifesto that articulates the conceptual foundations of Agentic Business Process Management (APM), an extension of Business Process Management (BPM) for gove…

cs.AI2019★ 1 cited

Mining Insights from Weakly-Structured Event Data

Niek Tax

This thesis focuses on process mining on event data where such a normative specification is absent and, as a result, the event data is less structured. The thesis puts special emph…

cs.AI2019★ 1 cited

Evaluating Conformance Measures in Process Mining using Conformance Propositions (Extended version)

Anja F. Syring, Niek Tax, Wil M. P. van der Aalst

Process mining sheds new light on the relationship between process models and real-life processes. Process discovery can be used to learn process models from event logs. Conformanc…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.