Home › Entities › doctoral_thesis › BioSignalML: An abstract model for physiological time-series data

BioSignalML: An abstract model for physiological time-series data

2013 doctoral thesis by David Brooks at University of Auckland
Place doctoral_thesis Q112903156
Press Enter · cited answer in seconds

BioSignalML: An abstract model for physiological time-series data

Summary

BioSignalML: An abstract model for physiological time-series data is a doctoral thesis[1].

Key Facts

  • BioSignalML: An abstract model for physiological time-series data authored An abstract model for physiological time-series data — author (P50): David Brooks[2].
  • BioSignalML: An abstract model for physiological time-series data's instance of is recorded as An abstract model for physiological time-series data — instance of (P31): doctoral thesis[3].
  • BioSignalML: An abstract model for physiological time-series data's publisher is recorded as An abstract model for physiological time-series data — publisher (P123): ResearchSpace@Auckland[4].
  • BioSignalML: An abstract model for physiological time-series data's copyright license is recorded as An abstract model for physiological time-series data — copyright license (P275): Creative Commons Attribution-NonCommercial-ShareAlike 3.0 New Zealand[5].
  • BioSignalML: An abstract model for physiological time-series data's country of origin is recorded as An abstract model for physiological time-series data — country of origin (P495): New Zealand[6].
  • BioSignalML: An abstract model for physiological time-series data's publication date is recorded as +2013-00-00T00:00:00Z[7].
  • BioSignalML: An abstract model for physiological time-series data's work available at URL is recorded as https://researchspace.auckland.ac.nz/handle/2292/22026[8].
  • BioSignalML: An abstract model for physiological time-series data's Handle ID is recorded as 2292/22026[9].
  • BioSignalML: An abstract model for physiological time-series data's title is recorded as BioSignalML: An abstract model for physiological time-series data[10].
  • BioSignalML: An abstract model for physiological time-series data's copyright holder is recorded as An abstract model for physiological time-series data — copyright holder (P3931): David Brooks[11].
  • BioSignalML: An abstract model for physiological time-series data's thesis submitted to is recorded as An abstract model for physiological time-series data — thesis submitted to (P4101): University of Auckland[12].
  • BioSignalML: An abstract model for physiological time-series data's on focus list of Wikimedia project is recorded as An abstract model for physiological time-series data — on focus list of Wikimedia project (P5008): NZThesisProject[13].
  • BioSignalML: An abstract model for physiological time-series data's copyright status is recorded as An abstract model for physiological time-series data — copyright status (P6216): copyrighted[14].
  • BioSignalML: An abstract model for physiological time-series data's online access status is recorded as An abstract model for physiological time-series data — online access status (P6954): open access[15].
  • BioSignalML: An abstract model for physiological time-series data's thesis committee member is recorded as An abstract model for physiological time-series data — thesis committee member (P9161): Bruce Smaill[16].
  • BioSignalML: An abstract model for physiological time-series data's thesis committee member is recorded as An abstract model for physiological time-series data — thesis committee member (P9161): Mark R Titchener[17].

Body

Designation and Status

BioSignalML: An abstract model for physiological time-series data's instance of is recorded as An abstract model for physiological time-series data — instance of (P31): doctoral thesis[3].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [2] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). BioSignalML: An abstract model for physiological time-series data. Retrieved May 3, 2026, from https://4ort.xyz/entity/biosignalml-an-abstract-model-for-physiological-time-series-data
MLA “BioSignalML: An abstract model for physiological time-series data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/biosignalml-an-abstract-model-for-physiological-time-series-data.
BibTeX @misc{4ortxyz_biosignalml-an-abstract-model-for-physiological-time-series-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{BioSignalML: An abstract model for physiological time-series data}}, year = {2026}, url = {https://4ort.xyz/entity/biosignalml-an-abstract-model-for-physiological-time-series-data}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): BioSignalML: An abstract model for physiological time-series data — https://4ort.xyz/entity/biosignalml-an-abstract-model-for-physiological-time-series-data (retrieved 2026-05-03)

Canonical URL: https://4ort.xyz/entity/biosignalml-an-abstract-model-for-physiological-time-series-data · Last refreshed: