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Alexandrine Ribeiro

2 papers hereh-index 7197 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • eess.AS1

identity via Semantic Scholar / OpenAlex

most citedAdaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks

82 citations · 102 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2020★ 82 cited

Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks

Sergio Pereira, Adriano Pinto, Joana Amorim +3

Fully Convolutional Networks have been achieving remarkable results in image semantic segmentation, while being efficient. Such efficiency results from the capability of segmenting…

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.