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ORCIDFrédéric Ratle
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2020 – today
- 2023
[i2]Eric Zimmermann, Justin Szeto, Frédéric Ratle:
An Empirical Study of Uncertainty in Polygon Annotation and the Impact of Quality Assurance. CoRR abs/2311.02707 (2023)- [i1]Eric Zimmermann, Justin Szeto, Jérôme Pasquero, Frédéric Ratle:
Benchmarking a Benchmark: How Reliable is MS-COCO? CoRR abs/2311.02709 (2023)
2010 – 2019
- 2012
- [p1]Jason Weston, Frédéric Ratle, Hossein Mobahi, Ronan Collobert:
Deep Learning via Semi-supervised Embedding. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 639-655 - 2010
- [j5]Devis Tuia
, Frédéric Ratle, Alexei Pozdnoukhov, Gustavo Camps-Valls:
Multisource Composite Kernels for Urban-Image Classification. IEEE Geosci. Remote. Sens. Lett. 7(1): 88-92 (2010) - [j4]Frédéric Ratle, Gustavo Camps-Valls, Jason Weston:
Semisupervised Neural Networks for Efficient Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 48(5): 2271-2282 (2010) - [j3]Devis Tuia, Frédéric Ratle, Fabio Pacifici, Mikhail F. Kanevski, William J. Emery:
Correction to "Active Learning Methods for Remote Sensing Image Classification" [Jul 09 2218-2232]. IEEE Trans. Geosci. Remote. Sens. 48(6): 2767 (2010)
2000 – 2009
- 2009
- [j2]Frédéric Ratle, Vincent Achim, François Trochu:
Evolutionary operators for optimal gate location in liquid composite moulding. Appl. Soft Comput. 9(2): 817-823 (2009) - [j1]Devis Tuia, Frédéric Ratle, Fabio Pacifici, Mikhail F. Kanevski, William J. Emery:
Active Learning Methods for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 47(7-2): 2218-2232 (2009) - 2008
- [c7]Jason Weston, Frédéric Ratle, Ronan Collobert:
Deep learning via semi-supervised embedding. ICML 2008: 1168-1175 - [c6]Devis Tuia, Frédéric Ratle, Fabio Pacifici, Alexei Pozdnoukhov, Mikhail F. Kanevski, Fabio Del Frate, Domenico Solimini, William J. Emery:
Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling. IGARSS (4) 2008: 73-76 - [c5]Frédéric Ratle, Jason Weston, Matthew L. Miller:
Large-Scale Clustering through Functional Embedding. ECML/PKDD (2) 2008: 266-281 - 2007
- [c4]Frédéric Ratle, Mikhail F. Kanevski, Anne-Laure Terrettaz-Zufferey, Pierre Esseiva, Olivier Ribaux:
A Comparison of One-Class Classifiers for Novelty Detection in Forensic Case Data. IDEAL 2007: 67-76 - 2006
- [c3]Frédéric Ratle, Anne-Laure Terrettaz, Mikhail F. Kanevski, Pierre Esseiva, Olivier Ribaux:
Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms. ESANN 2006: 665-670 - [c2]Frédéric Ratle, Anne-Laure Terrettaz-Zufferey, Mikhail F. Kanevski, Pierre Esseiva, Olivier Ribaux:
Learning Manifolds in Forensic Data. ICANN (2) 2006: 894-903 - 2004
- [c1]Frédéric Ratle, Benoît Lecarpentier, Richard Labib, François Trochu:
Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm. PPSN 2004: 803-811
Coauthor Index
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