AutoML technologies for the identification of sparse classification and outlier detection models-Reference-Cited by-同舟云学术

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AutoML technologies for the identification of sparse classification and outlier detection models

Published:2023-01 Issue: Volume:133 Page:109942
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Liuliakov Aleksei^ORCID,Hermes Luca^ORCID,Hammer Barbara^ORCID

Funder

Bundesministerium für Bildung und Forschung

North Rhine-Westphalia State Ministry of Innovation Science Research and Technology

Publisher

Elsevier BV

Subject

Software

Reference59 articles.

1. AutoML technologies for the identification of sparse models;Liuliakov,2021

2. When machine learning meets security issues: A survey;Guan,2018

3. Automated Machine Learning: Methods, Systems, Challenges,2018

4. TPOT: A tree-based pipeline optimization tool for automating machine learning;Olson,2016

5. Auto-sklearn: efficient and robust automated machine learning;Feurer,2019

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