Name
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.
|
Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3417990.3420050 | MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems
Virtual Event
Canada
October, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-8135-2 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paulis Barzdins | 1 | 0 | 0.34 |
| Edgars Celms | 2 | 105 | 18.43 |
| Janis Barzdins | 3 | 199 | 35.69 |
| Audris Kalnins | 4 | 146 | 25.35 |
| Arturs Sprogis | 5 | 75 | 11.47 |
| Mikus Grasmanis | 6 | 3 | 2.51 |
| Sergejs Rikacovs | 7 | 15 | 3.42 |