"Machine Learning Techniques for Improving Multiclass Anomaly Detection on ..."

Saulo Neves Matos et al. (2024)

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DOI: 10.1109/I2MTC60896.2024.10561167

access: closed

type: Conference or Workshop Paper

metadata version: 2026-02-17

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Saulo Neves Matos, Otávio Ferracioli Coletti, Rafael Zimmer, Fernando Ugucioni Filho, Ricardo C. C. L. de Carvalho, Victor R. da Silva, Jorge Luiz Franco, Thomás V. B. Pinto, Luiz Guilherme Dias de Barros, Caetano Mazzoni Ranieri, Bruno Eduardo Lopes, Diego F. Silva, Jó Ueyama, Gustavo Pessin:
Machine Learning Techniques for Improving Multiclass Anomaly Detection on Conveyor Belts. I2MTC 2024: 1-6

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