Genens: An AutoML System for Ensemble Optimization Based on Developmental Genetic Programming
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F20%3A00537567" target="_blank" >RIV/67985807:_____/20:00537567 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SSCI47803.2020.9308582" target="_blank" >http://dx.doi.org/10.1109/SSCI47803.2020.9308582</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SSCI47803.2020.9308582" target="_blank" >10.1109/SSCI47803.2020.9308582</a>
Alternative languages
Result language
angličtina
Original language name
Genens: An AutoML System for Ensemble Optimization Based on Developmental Genetic Programming
Original language description
We propose an AutoML system for pipeline optimization based on developmental genetic programming — genens. It is built atop of scikit-learn pipelines, and it focuses on both hyperparameter and architecture optimization. Compared to existing systems, it enables to optimize more complex ensembles, while exploring simpler models at the same time. The system has been evaluated on selected benchmark datasets from the AutoML benchmark, producing competitive results.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA18-23827S" target="_blank" >GA18-23827S: Capabilities and limitations of shallow and deep networks</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2020 IEEE Symposium Series on Computational Intelligence (SSCI)
ISBN
978-1-7281-2548-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
631-638
Publisher name
IEEE
Place of publication
New York
Event location
Canberra / Online
Event date
Dec 1, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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