@inproceedings{e7ad8f6784b248e7b51553abfc105531,
title = "Metamodel specialization based DSL for DL lifecycle data management",
abstract = "A new Domain Specific Language (DSL) based approach to Deep Learning (DL) lifecycle data management (LDM) is presented: a very simple but universal DL LDM tool, still usable in practice (called Core tool); and an advanced extension mechanism, that converts the Core tool into a DSL tool building framework for DL LDM tasks. The method used is based on the metamodel specialisation approach for DSL modeling tools introduced by authors.",
keywords = "DL lifecycle data management, DSL, Metamodel specialization",
author = "Paulis Barzdins and Edgars Celms and Bārzdiņ{\v s}, \{Jānis Visvaldis\} and Audris Kalniņ{\v s} and Artūrs Sproģis and Mikus Grasmanis and Sergejs Rika{\v c}ovs",
note = "Publisher Copyright: {\textcopyright} 2020 Owner/Author.",
year = "2020",
month = oct,
day = "16",
doi = "10.1145/3417990.3420050",
language = "English",
isbn = "9781450381352",
series = "Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS-C 2020 - Companion Proceedings",
publisher = "Association for Computing Machinery",
pages = "76--77",
booktitle = "Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS-C 2020 - Companion Proceedings",
}