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A. Pilastri

1 paper here

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  • last author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • eess.AS1

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most citedDeep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds

20 citations · 20 across the 1 of their papers we have counts for

collaborators

1 paper

eess.AS2020★ 20 cited

Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds

Alexandrine Ribeiro, Luis Miguel Matos, Pedro Jose Pereira +4

This technical report describes two methods that were developed for Task 2 of the DCASE 2020 challenge. The challenge involves an unsupervised learning to detect anomalous sounds,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.