- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-756X
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
A methodology for refined evaluation of neural code completion approaches ; volume:37 ; number:1 ; day:1 ; month:11 ; year:2022 ; pages:167-204 ; date:1.2023
Data mining and knowledge discovery ; 37, Heft 1 (1.11.2022), 167-204, 1.2023
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10618-022-00866-9
- URN
-
urn:nbn:de:101:1-2023031321365558030734
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:46 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Le, Kim Tuyen
- Rashidi, Gabriel
- Andrzejak, Artur
- SpringerLink (Online service)
Other Objects (12)
Refined Methodology for Accurately Detecting Objects from Digitized Herbarium Specimens
Refined Approaches for Estimating the Strength of Rock Blocks
Automated Source Code Completion by Retrieval-oriented Unsupervised Learning
Term completion versus algebraic completion
On refined Chern–Simons and refined ABJ matrix models
Refined probabilistic abstraction
Refined conditions for V-shaped optimal sequencing on a single machine to minimize total completion time under combined effects
Univalent completion
Handbook of stemmatology : history, methodology, digital approaches
Handbook of Stemmatology : History, Methodology, Digital Approaches
Handbook of Stemmatology : History, Methodology, Digital Approaches
Source code auto-completion using various deep learning models under limited computing resources
Refined Methodology for Accurately Detecting Objects from Digitized Herbarium Specimens
Refined Approaches for Estimating the Strength of Rock Blocks
Automated Source Code Completion by Retrieval-oriented Unsupervised Learning
Term completion versus algebraic completion
On refined Chern–Simons and refined ABJ matrix models
Refined probabilistic abstraction
Refined conditions for V-shaped optimal sequencing on a single machine to minimize total completion time under combined effects
Univalent completion
Handbook of stemmatology : history, methodology, digital approaches
Handbook of Stemmatology : History, Methodology, Digital Approaches
Handbook of Stemmatology : History, Methodology, Digital Approaches
Source code auto-completion using various deep learning models under limited computing resources
Refined Methodology for Accurately Detecting Objects from Digitized Herbarium Specimens
Refined Approaches for Estimating the Strength of Rock Blocks
Automated Source Code Completion by Retrieval-oriented Unsupervised Learning
Term completion versus algebraic completion
On refined Chern–Simons and refined ABJ matrix models
Refined probabilistic abstraction
Refined conditions for V-shaped optimal sequencing on a single machine to minimize total completion time under combined effects
Univalent completion
Handbook of stemmatology : history, methodology, digital approaches
Handbook of Stemmatology : History, Methodology, Digital Approaches
Handbook of Stemmatology : History, Methodology, Digital Approaches