Teaching machines to think like conservators - Machine learning as a tool for predicting the stability of paper-based archive and library collections

Ulla Bøgvad Kejser; Birgit Vinther Hansen; Morten Ryhl-Svendsen; Christian Boesgaard; Søren Mollerup

Teaching machines to think like conservators - Machine learning as a tool for predicting the stability of paper-based archive and library collections

Ulla Bøgvad Kejser, Birgit Vinther Hansen, Morten Ryhl-Svendsen, Christian Boesgaard, Søren Mollerup

Publications: Contribution to conference › Conference abstract for conference › Research › peer-review

Abstract

Poster abstract

Original language	English
Publication date	2021
Number of pages	1
Publication status	Published - 2021
Event	ICOM-CC Triennial Conference in Beijing: Transcending Boundaries: Integrated Approaches to Conservation - ICOM Beijing, Beijing, China Duration: 17 May 2021 → 21 May 2021 Conference number: 19 https://www.icom-cc2020.org/

Conference

Conference	ICOM-CC Triennial Conference in Beijing
Number	19
Location	ICOM Beijing
Country/Territory	China
City	Beijing
Period	17/05/2021 → 21/05/2021
Internet address	https://www.icom-cc2020.org/

Artistic research

Access to Document

https://www.icom-cc-publications-online.org/4417/Teaching-machines-to-think-like-conservators--Machine-learning-as-a-tool-for-predicting-the-stability-of-paper-based-archive-and-library-collectionsLicence: Unspecified

1 Journal article

Prediction of the indoor climate in cultural heritage buildings through machine learning: first results from two field tests
Boesgaard, C., Vinther Hansen, B., Bøgvad Kejser, U., Mollerup, S., Ryhl-Svendsen, M. & Torp-Smith, N., 2022, In: Heritage Science. 10, 12 p., 176.
Publications: Contribution to journal › Journal article › Research › peer-review

Open Access

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Bøgvad Kejser, U., Vinther Hansen, B., Ryhl-Svendsen, M., Boesgaard, C., & Mollerup, S. (2021). Teaching machines to think like conservators - Machine learning as a tool for predicting the stability of paper-based archive and library collections. 1. Abstract from ICOM-CC Triennial Conference in Beijing, Beijing, China. https://www.icom-cc-publications-online.org/4417/Teaching-machines-to-think-like-conservators--Machine-learning-as-a-tool-for-predicting-the-stability-of-paper-based-archive-and-library-collections

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title = "Teaching machines to think like conservators - Machine learning as a tool for predicting the stability of paper-based archive and library collections",

abstract = "Poster abstract",

author = "{B{\o}gvad Kejser}, Ulla and {Vinther Hansen}, Birgit and Morten Ryhl-Svendsen and Christian Boesgaard and S{\o}ren Mollerup",

year = "2021",

language = "English",

pages = "1",

note = "ICOM-CC Triennial Conference in Beijing : Transcending Boundaries: Integrated Approaches to Conservation ; Conference date: 17-05-2021 Through 21-05-2021",

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Bøgvad Kejser, U, Vinther Hansen, B, Ryhl-Svendsen, M, Boesgaard, C & Mollerup, S 2021, 'Teaching machines to think like conservators - Machine learning as a tool for predicting the stability of paper-based archive and library collections', ICOM-CC Triennial Conference in Beijing, Beijing, China, 17/05/2021 - 21/05/2021 pp. 1. <https://www.icom-cc-publications-online.org/4417/Teaching-machines-to-think-like-conservators--Machine-learning-as-a-tool-for-predicting-the-stability-of-paper-based-archive-and-library-collections>

Teaching machines to think like conservators - Machine learning as a tool for predicting the stability of paper-based archive and library collections. / Bøgvad Kejser, Ulla; Vinther Hansen, Birgit; Ryhl-Svendsen, Morten et al.
2021. 1 Abstract from ICOM-CC Triennial Conference in Beijing, Beijing, China.

Publications: Contribution to conference › Conference abstract for conference › Research › peer-review

TY - ABST

T1 - Teaching machines to think like conservators - Machine learning as a tool for predicting the stability of paper-based archive and library collections

AU - Bøgvad Kejser, Ulla

AU - Vinther Hansen, Birgit

AU - Ryhl-Svendsen, Morten

AU - Boesgaard, Christian

AU - Mollerup, Søren

N1 - Conference code: 19

PY - 2021

Y1 - 2021

N2 - Poster abstract

AB - Poster abstract

M3 - Conference abstract for conference

SP - 1

T2 - ICOM-CC Triennial Conference in Beijing

Y2 - 17 May 2021 through 21 May 2021

ER -

Teaching machines to think like conservators - Machine learning as a tool for predicting the stability of paper-based archive and library collections

Abstract

Conference

Artistic research

Access to Document

Research output

Prediction of the indoor climate in cultural heritage buildings through machine learning: first results from two field tests

Cite this