Publicações

The Joint Role of Batch Size and Query Strategy in Active Learning-Based Prediction - A Case Study in the Heart Attack Domain

AuthID
P-00X-93H

Author(s)

Faria, B

Perdigao, D

Bras, J

Macedo, L

Editor(es)

Marreiros,G;Martins,B;Paiva,A;Ribeiro,B;Sardinha,A

Tipo de Documento

Proceedings Paper

Year published

2022

Publicado

in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2022 in Lecture Notes in Artificial Intelligence, ISSN: 0302-9743

Volume: 13566, Páginas: 464-475 (12)

Conference

21St Epia Conference on Artificial Intelligence (Epia), Date: AUG 31-SEP 02, 2022, Location: Univ Lisbon, Lisbon, PORTUGAL, Patrocinadores: EPIA, Host: Univ Lisbon

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Publication Identifiers

DOI: 10.1007/978-3-031-16474-3_38

SCOPUS: 2-s2.0-85138726864

Wos: WOS:000869745400038

Source Identifiers

ISSN: 0302-9743

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The Joint Role of Batch Size and Query Strategy in Active Learning-Based Prediction - A Case Study in the Heart Attack Domain

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The Joint Role of Batch Size and Query Strategy in Active Learning-Based Prediction - A Case Study in the Heart Attack Domain

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