INTERACT-NET: An Interactive Interface for Multimedia Machine Learning

INTERACT-NET is a study of interactive human-computer interfaces for use in pipelines of multimedia using ma-chine learning (ML), image processing, and computer graphics.

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Publication Details

Published
2024-09-30
DOI
https://doi.org/10.1109/sibgrapi62404.2024.10716312
Citations
2
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.69
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article

INTERACT-NET: An Interactive Interface for Multimedia Machine Learning

Guilherme Schardong, Luiz Schirmer, Alberto Arkader Kopiler, Daniel Perazzo et al.
2 citations
Neural Networks and Applications
0.69
article

INTERACT-NET: An Interactive Interface for Multimedia Machine Learning

Guilherme Schardong, Luiz Schirmer, Alberto Arkader Kopiler, Daniel Perazzo, Luiz Felipe Machado Velho, Tiago Novello
article en
2 citations

Abstract

INTERACT-NET is a study of interactive human-computer interfaces for use in pipelines of multimedia using ma-chine learning (ML), image processing, and computer graphics.

Vol. 10
Instituto Nacional de Matemática Pura e Aplicada (BR), Universidade do Vale do Rio dos Sinos (BR), University of Coimbra (PT)
Openalex Percentile: Top 24%
Neural Networks and Applications
0.69
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