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Untersuchung der Domänenabhängigkeit tiefer Lernverfahren für die Typinferenz in Python

Gruner, Bernd and Sonnekalb, Tim and Heinze, Thomas S. and Brust, Clemens-Alexander (2023) Untersuchung der Domänenabhängigkeit tiefer Lernverfahren für die Typinferenz in Python. In: 22. Kolloquium Programmiersprachen und Grundlagen der Programmierung (KPS 2023). 22. Kolloquium Programmiersprachen und Grundlagen der Programmierung (KPS 2023), Vaals, Niederlande.

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Item URL in elib:https://elib.dlr.de/198342/
Document Type:Conference or Workshop Item (Speech)
Title:Untersuchung der Domänenabhängigkeit tiefer Lernverfahren für die Typinferenz in Python
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Gruner, BerndUNSPECIFIEDhttps://orcid.org/0000-0002-4177-2993UNSPECIFIED
Sonnekalb, TimUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Heinze, Thomas S.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Brust, Clemens-AlexanderUNSPECIFIEDhttps://orcid.org/0000-0001-5419-1998UNSPECIFIED
Date:2023
Journal or Publication Title:22. Kolloquium Programmiersprachen und Grundlagen der Programmierung (KPS 2023)
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Series Name:Aachener Informatik-Berichte
Status:Accepted
Keywords:type inference, dataset, cross-domain, python, long-tailed, out-of-vocabulary, repository mining, deep learning
Event Title:22. Kolloquium Programmiersprachen und Grundlagen der Programmierung (KPS 2023)
Event Location:Vaals, Niederlande
Event Type:national Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Intelligent analysis and methods for safe software development
Location: Jena
Institutes and Institutions:Institute of Data Science > Data Acquisition and Mobilisation
Deposited By: Gruner, Bernd
Deposited On:13 Nov 2023 16:28
Last Modified:13 Nov 2023 16:28

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