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A Comparison of Automl Tools for Machine Learning, Deep Learning and Xgboost

AuthID
P-00V-YB5

Author(s)

Ferreira, L

Pilastri, A

Martins, CM

Pires, PM

Cortez, P

Document Type

Proceedings Paper

Year published

2021

Published

in 2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) in IEEE International Joint Conference on Neural Networks (IJCNN), ISSN: 2161-4393

Conference

International Joint Conference on Neural Networks (Ijcnn), Date: JUL 18-22, 2021, Location: ELECTR NETWORK, Sponsors: Int Neural Network Soc, IEEE Computat Intelligence Soc

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Publication Identifiers

DOI: 10.1109/ijcnn52387.2021.9534091

Wos: WOS:000722581706043

Source Identifiers

ISSN: 2161-4393

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A Comparison of Automl Tools for Machine Learning, Deep Learning and Xgboost

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A Comparison of Automl Tools for Machine Learning, Deep Learning and Xgboost

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