---
_id: '14410'
abstract:
- lang: eng
  text: This paper focuses on the implementation details of the baseline methods and
    a recent lightweight conditional model extrapolation algorithm LIMES [5] for streaming
    data under class-prior shift. LIMES achieves superior performance over the baseline
    methods, especially concerning the minimum-across-day accuracy, which is important
    for the users of the system. In this work, the key measures to facilitate reproducibility
    and enhance the credibility of the results are described.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Paulina
  full_name: Tomaszewska, Paulina
  last_name: Tomaszewska
- first_name: Christoph
  full_name: Lampert, Christoph
  id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
  last_name: Lampert
  orcid: 0000-0001-8622-7887
citation:
  ama: 'Tomaszewska P, Lampert C. On the implementation of baselines and lightweight
    conditional model extrapolation (LIMES) under class-prior shift. In: <i>International
    Workshop on Reproducible Research in Pattern Recognition</i>. Vol 14068. Springer
    Nature; 2023:67-73. doi:<a href="https://doi.org/10.1007/978-3-031-40773-4_6">10.1007/978-3-031-40773-4_6</a>'
  apa: 'Tomaszewska, P., &#38; Lampert, C. (2023). On the implementation of baselines
    and lightweight conditional model extrapolation (LIMES) under class-prior shift.
    In <i>International Workshop on Reproducible Research in Pattern Recognition</i>
    (Vol. 14068, pp. 67–73). Montreal, Canada: Springer Nature. <a href="https://doi.org/10.1007/978-3-031-40773-4_6">https://doi.org/10.1007/978-3-031-40773-4_6</a>'
  chicago: Tomaszewska, Paulina, and Christoph Lampert. “On the Implementation of Baselines
    and Lightweight Conditional Model Extrapolation (LIMES) under Class-Prior Shift.”
    In <i>International Workshop on Reproducible Research in Pattern Recognition</i>,
    14068:67–73. Springer Nature, 2023. <a href="https://doi.org/10.1007/978-3-031-40773-4_6">https://doi.org/10.1007/978-3-031-40773-4_6</a>.
  ieee: P. Tomaszewska and C. Lampert, “On the implementation of baselines and lightweight
    conditional model extrapolation (LIMES) under class-prior shift,” in <i>International
    Workshop on Reproducible Research in Pattern Recognition</i>, Montreal, Canada,
    2023, vol. 14068, pp. 67–73.
  ista: 'Tomaszewska P, Lampert C. 2023. On the implementation of baselines and lightweight
    conditional model extrapolation (LIMES) under class-prior shift. International
    Workshop on Reproducible Research in Pattern Recognition. RRPR: Reproducible Research
    in Pattern Recognition, LNCS, vol. 14068, 67–73.'
  mla: Tomaszewska, Paulina, and Christoph Lampert. “On the Implementation of Baselines
    and Lightweight Conditional Model Extrapolation (LIMES) under Class-Prior Shift.”
    <i>International Workshop on Reproducible Research in Pattern Recognition</i>,
    vol. 14068, Springer Nature, 2023, pp. 67–73, doi:<a href="https://doi.org/10.1007/978-3-031-40773-4_6">10.1007/978-3-031-40773-4_6</a>.
  short: P. Tomaszewska, C. Lampert, in:, International Workshop on Reproducible Research
    in Pattern Recognition, Springer Nature, 2023, pp. 67–73.
conference:
  end_date: 2022-08-21
  location: Montreal, Canada
  name: 'RRPR: Reproducible Research in Pattern Recognition'
  start_date: 2022-08-21
date_created: 2023-10-08T22:01:18Z
date_published: 2023-08-20T00:00:00Z
date_updated: 2023-10-09T06:48:02Z
day: '20'
department:
- _id: ChLa
doi: 10.1007/978-3-031-40773-4_6
intvolume: '     14068'
language:
- iso: eng
month: '08'
oa_version: None
page: 67-73
publication: International Workshop on Reproducible Research in Pattern Recognition
publication_identifier:
  eissn:
  - 1611-3349
  isbn:
  - '9783031407727'
  issn:
  - 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: On the implementation of baselines and lightweight conditional model extrapolation
  (LIMES) under class-prior shift
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 14068
year: '2023'
...