Exploring the Use of Software Product Lines for the Combination of Machine Learning Models-Reference-Cited by-同舟云学术

Exploring the Use of Software Product Lines for the Combination of Machine Learning Models

Published:2024-09-02 Issue: Volume: Page:26-29
ISSN:
Container-title:28th ACM International Systems and Software Product Line Conference
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Author:

Gomez-Vazquez Marcos¹^ORCID,Cabot Jordi²^ORCID

Affiliation:

1. ITIS, Luxembourg Institute of Science and Technology, Luxembourg

2. ITIS, Luxembourg Institute of Science and Technology, Luxembourg and University of Luxembourg, Luxembourg

Funder

Luxembourg National Research Fund (FNR)

Publisher

ACM

Reference21 articles.

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2. Takuya Akiba Makoto Shing Yujin Tang Qi Sun and David Ha. 2024. Evolutionary Optimization of Model Merging Recipes. (2024). arxiv:2403.13187 [cs.NE]

3. Iván Alfonso, Aaron Conrardy, Armen Sulejmani, Atefeh Nirumand, Fitash Ul Haq, Marcos Gomez-Vazquez, Jean-Sébastien Sottet, and Jordi Cabot. 2024. Building BESSER: An Open-Source Low-Code Platform. In Enterprise, Business-Process and Information Systems Modeling, Han van der Aa, Dominik Bork, Rainer Schmidt, and Arnon Sturm (Eds.). Springer Nature Switzerland, Cham, 203–212.

4. David Benavides, Pablo Trinidad, and Antonio Ruiz-Cortés. 2005. Automated Reasoning on Feature Models. In Advanced Information Systems Engineering, Oscar Pastor and João Falcão e Cunha (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 491–503.

5. Low Code for Smart Software Development