Workshop on ML4Sys and Sys4ML

This is a proposal for the 2nd edition of the ML4Sys and Sys4ML workshop planned for March 3rd/4th in conjunction with the BTW 2025 conference at the University of Bamberg. After the success of the first edition of this workshop in BTW 2023, we propose this second edition. This workshop will bring together renowned researchers and practitioners to discuss and debate the topics at the intersection of machine learning and data systems. The workshop program will be composed of keynotes and invited talks as well as selected presentations on the position abstracts covering the listed topic of interest. The focus will be on two main topics of concern: (1) how machine learning can improve data systems and (2) how scalable and efficient data system design can improve machine learning systems.

Publication Details

Journal
Gesellschaft für Informatik (GI)
Published
2025-01-01
DOI
https://doi.org/10.18420/btw2025-133
Primary Topic
Machine Learning and Data Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Workshop on ML4Sys and Sys4ML

Gesellschaft für Informatik (GI)
Machine Learning and Data Classification
article

Workshop on ML4Sys and Sys4ML

article en

Abstract

This is a proposal for the 2nd edition of the ML4Sys and Sys4ML workshop planned for March 3rd/4th in conjunction with the BTW 2025 conference at the University of Bamberg. After the success of the first edition of this workshop in BTW 2023, we propose this second edition. This workshop will bring together renowned researchers and practitioners to discuss and debate the topics at the intersection of machine learning and data systems. The workshop program will be composed of keynotes and invited talks as well as selected presentations on the position abstracts covering the listed topic of interest. The focus will be on two main topics of concern: (1) how machine learning can improve data systems and (2) how scalable and efficient data system design can improve machine learning systems.

Gesellschaft für Informatik (GI)
Openalex Percentile: Top 74%
Machine Learning and Data Classification
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Workshop on ML4Sys and Sys4ML · Gesellschaft für Informatik (GI) (2025) | TGRS Research Map | TGRS