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1Academic Journal
Συγγραφείς: M. X. Ortega Adarme, P. J. Soto Vega, G. A. O. P. Costa, R. Q. Feitosa, C. Heipke
Πηγή: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-1-2023, Pp 217-223 (2023)
Θεματικοί όροι: Dewey Decimal Classification::500 | Naturwissenschaften::550 | Geowissenschaften, Artificial neural network, Cognitive science, Technology, Artificial intelligence, Class (philosophy), 0211 other engineering and technologies, Overfitting, Ocean Engineering, 02 engineering and technology, Debiasing, 01 natural sciences, Learning with Noisy Labels in Machine Learning, Systems engineering, Anomaly Detection in High-Dimensional Data, Task (project management), Engineering, Deep Learning, Context (archaeology), Segmentation, Artificial Intelligence, Meta-Learning, Machine learning, Psychology, Applied optics. Photonics, Automatic Road Extraction from Remote Sensing Images, Data mining, Konferenzschrift, 0105 earth and related environmental sciences, Geography, Debiasing Variational Autoencoder, Deforestation Detection, Deep learning, Autoencoder, 15. Life on land, Engineering (General). Civil engineering (General), Computer science, TA1501-1820, Map Inference, Automated Machine Learning, FOS: Psychology, Archaeology, Computer Science, Physical Sciences, Semantic Segmentation, TA1-2040, Robust Learning
Περιγραφή αρχείου: application/pdf
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2Book
Συγγραφείς: Ortega Adarme, M.X., Soto Vega, P.J., Costa, G.A.O.P., Feitosa, R.Q., Heipke, C., Altan, O., Sunar, F., Klein, D.
Πηγή: International Symposium on Remote Sensing of Environment (ISRSE-39) “From Human needs to SDGs” ; International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Archives) ; XLVIII-M-1-2023
Θεματικοί όροι: Debiasing Variational Autoencoder, Deep Learning, Deforestation Detection, Semantic Segmentation, ddc:550, Konferenzschrift
Relation: ESSN:2194-9034; http://dx.doi.org/10.15488/14194
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3Academic Journal
Συγγραφείς: Norah Alshareef, Xiaohong Yuan, Kaushik Roy, Mustafa Atay
Πηγή: Future Internet, Vol 13, Iss 234, p 234 (2021)
Θεματικοί όροι: gender bias, presentation attack detection, debiasing variational autoencoder, convolutional neural network, Information technology, T58.5-58.64
Relation: https://www.mdpi.com/1999-5903/13/9/234; https://doaj.org/toc/1999-5903; https://doaj.org/article/abe51079c0994f17b0153e6a2ba0ee02
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4Electronic Resource
Συγγραφείς: Altan, O., Sunar, F., Klein, D., Ortega Adarme, M.X., Soto Vega, P.J., Costa, G.A.O.P., Feitosa, R.Q., Heipke, C.
Όροι ευρετηρίου: Debiasing Variational Autoencoder, Deep Learning, Deforestation Detection, Semantic Segmentation, BookPart, Text
Σύνδεσμος:
https://www.repo.uni-hannover.de/handle/123456789/14308 https://doi.org/10.5194/isprs-archives-xlviii-m-1-2023-217-2023
International Symposium on Remote Sensing of Environment (ISRSE-39) “From Human needs to SDGs”
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Archives) ; XLVIII-M-1-2023
2194-9034https://doi.org/10.5194/isprs-archives-xlviii-m-1-2023-217-2023