Cited by 2Business Process Modeling and AnalysisAI-based Problem Solving and PlanningContext-Aware Activity Recognition Systems

Case-Based Activity Detection from Segmented Internet of Things Data

Seiger, Ronny, Schultheis, Alexander, Bergmann, Ralph·2025·Lecture Notes in Computer Science

Integrity signals

Registry

Crossref · 10.1007/978-3-031-96559-3_29

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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Authors
Seiger, R., Schultheis, A., & Bergmann, R.
Affiliations
  • University of St.Gallen (CH)
  • German Research Centre for Artificial Intelligence (DE)
Corresponding author
Seiger, Ronny
Venue
Lecture Notes in Computer Science
Published
2025
Pages
438-453
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W4411763451
Cited by
2
References
2
Citations by year
2026: 1 · 2025: 1
FWCI
4.25
Type
conference paper
Language
en
Open access
closed
Locations
  • Lecture notes in computer science (publishedVersion)
  • Alexandria (UniSG) (University of St.Gallen) (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Business Process Modeling and Analysis
  • Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
activity detection, Internet of Things, event abstraction, business process monitoring, smart factory, time series classification, dataflow architecture

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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