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Baler - Machine Learning Based Compression of Scientific Data

Bengtsson Folkesson, Fritjof ; Doglioni, Caterina LU ; Ekman, Per Alexander LU orcid ; Gallén, Axel ; Jawahar, Pratik ; Santasmasas, Marta Camps and Skidmore, Nicola (2024) 26th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2023 295.
Abstract

A common and growing issue in scientific research and industry is that of storing and sharing ever-increasing datasets. In this paper we document the development and applications of Baler - a Machine Learning based tool for tailored compression of data across multiple disciplines.

Please use this url to cite or link to this publication:
author
; ; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
EPJ Web of Conferences
volume
295
conference name
26th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2023
conference location
Norfolk, United States
conference dates
2023-05-08 - 2023-05-12
external identifiers
  • scopus:85212206047
DOI
10.1051/epjconf/202429509023
language
English
LU publication?
yes
id
35ddf3a6-f1e8-4ff0-8afe-6a7a57574cb8
date added to LUP
2025-01-24 14:25:13
date last changed
2025-10-14 12:13:43
@inproceedings{35ddf3a6-f1e8-4ff0-8afe-6a7a57574cb8,
  abstract     = {{<p>A common and growing issue in scientific research and industry is that of storing and sharing ever-increasing datasets. In this paper we document the development and applications of Baler - a Machine Learning based tool for tailored compression of data across multiple disciplines.</p>}},
  author       = {{Bengtsson Folkesson, Fritjof and Doglioni, Caterina and Ekman, Per Alexander and Gallén, Axel and Jawahar, Pratik and Santasmasas, Marta Camps and Skidmore, Nicola}},
  booktitle    = {{EPJ Web of Conferences}},
  language     = {{eng}},
  title        = {{Baler - Machine Learning Based Compression of Scientific Data}},
  url          = {{http://dx.doi.org/10.1051/epjconf/202429509023}},
  doi          = {{10.1051/epjconf/202429509023}},
  volume       = {{295}},
  year         = {{2024}},
}