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CurL-AutoML: Curriculum Learning-based AutoML.

, , , , , , и . ICMLA, стр. 766-771. IEEE, (2021)

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Marcos Antônio dos Santos Silva

Fábio Henrique Silva dos Santos

Elisabeth Santos dos Silva-Häberle

Tim dos Santos

Alberto dos Santos

 

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UFSCar's Team at ABSAPT 2022: Using Syntax, Semantics and Context for Solving the Tasks., , , , и . IberLEF@SEPLN, том 3202 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)Committee of NAS-based models., , , , , , и . IJCNN, стр. 1-8. IEEE, (2021)RePro: a benchmark for Opinion Mining for Brazilian Portuguese., , , , , , и . PROPOR, стр. 432-440. Association for Computational Lingustics, (2024)CurL-AutoML: Curriculum Learning-based AutoML., , , , , , и . ICMLA, стр. 766-771. IEEE, (2021)MetaPrep: Data preparation pipelines recommendation via meta-learning., , , , , , и . ICMLA, стр. 1197-1202. IEEE, (2021)Benchmarking Machine Learning Solutions in Production., , , , , , и . ICMLA, стр. 626-633. IEEE, (2020)mwetoolkit-lib: Adaptation of the mwetoolkit as a Python Library and an Application to MWE-based Document Clustering., , , , , и . MWE@LREC2022, стр. 112-117. European Language Resources Association, (2022)Brazilian Portuguese Product Reviews Moderation with AutoML., , , , , и . PROPOR, стр. 394-400. Association for Computational Lingustics, (2024)