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International Geoscience and Remote Sensing Symposium (IGARSS)(2)
2018 Picture Coding Symposium, PCS 2018 - Proceedings(1)
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings(1)
Journal of Microscopy(1)
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Ciencias de la computación(2)
Métodos informáticos especiales(2)
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Filosofía de las bellas artes y artes decorativas(1)
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Automatic identification of Caenorhabditis elegans in population images by shape energy features
ArticleAbstract: Experiments on model organisms are used to extend the understanding of complex biological processes.Palabras claves:C. elegans, image analysis, recognitionAutores:Daniel Ochoa Donoso orcid, Gautama S., Philips W.Fuentes:googlescopusBanana disease detection by fusion of close range hyperspectral image and high-resolution RGB image
Conference ObjectAbstract: Early detection of banana disease can limit the spread of disease, as well as reduce the treatment cPalabras claves:banana diseases, Close range hyperspectral image, data fusion, MORPHOLOGYAutores:Daniel Ochoa Donoso orcid, Liao W., Philips W., Rugel G.M.V., Zhao Y.Fuentes:googlescopusFully-Automatic Inverse Tone Mapping Preserving the Content Creator's Artistic Intentions
Conference ObjectAbstract: High Dynamic Range (HDR) displays can show images with higher color contrast levels and peak luminosPalabras claves:Autores:Aelterman J., Daniel Ochoa Donoso orcid, Gonzalo Luzardo, Luong H., Philips W., Rousseaux S.Fuentes:scopusGPS-ASSISTED FEATURE MATCHING IN AERIAL IMAGES WITH HIGHLY REPETITIVE PATTERNS
Conference ObjectAbstract: Matching aerial images might be challenging when they contain a large number of repetitive patterns.Palabras claves:Autores:Gonzalo Luzardo, Lefkaditis D., Luong H., Philips W., Vlaminck M.Fuentes:googlescopusMatrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference
Conference ObjectAbstract: Inferring air quality from a limited number of observations is an essential task for monitoring andPalabras claves:air quality inference, deep learning, graph-based matrix completion, variational graph autoen-coderAutores:Angel Lopez Aguirre, Deligiannis N., Do T.H., Minh Nguyen D., Panzica La Manna V., Pasveer F., Philips W., Tsiligianni E.Fuentes:scopus