Frédéric Ratle

15 papers A* 1A 1B 1C 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2023 J jnl
An Empirical Study of Uncertainty in Polygon Annotation and the Impact of Quality Assurance.
CoRR
Eric Zimmermann, Justin Szeto, Frédéric Ratle
2023 J jnl
Benchmarking a Benchmark: How Reliable is MS-COCO?
CoRR
Eric Zimmermann, Justin Szeto, Jérôme Pasquero, Frédéric Ratle
2012 — ch.
Deep Learning via Semi-supervised Embedding.
Neural Networks: Tricks of the Trade (2nd ed.)
Jason Weston, Frédéric Ratle, Hossein Mobahi, Ronan Collobert
2010 J jnl
Correction to "Active Learning Methods for Remote Sensing Image Classification" [Jul 09 2218-2232].
IEEE Trans. Geosci. Remote. Sens.
Devis Tuia, Frédéric Ratle, Fabio Pacifici, Mikhail F. Kanevski, William J. Emery
2010 J jnl
Multisource Composite Kernels for Urban-Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Devis Tuia, Frédéric Ratle, Alexei Pozdnoukhov, Gustavo Camps-Valls
2010 J jnl
Semisupervised Neural Networks for Efficient Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Frédéric Ratle, Gustavo Camps-Valls, Jason Weston
2009 J jnl
Active Learning Methods for Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Devis Tuia, Frédéric Ratle, Fabio Pacifici, Mikhail F. Kanevski, William J. Emery
2009 J jnl
Evolutionary operators for optimal gate location in liquid composite moulding.
Appl. Soft Comput.
Frédéric Ratle, Vincent Achim, François Trochu
2008 — conf
Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling.
IGARSS (4)
Devis Tuia, Frédéric Ratle, Fabio Pacifici, Alexei Pozdnoukhov, Mikhail F. Kanevski, Fabio Del Frate, Domenico Solimini, William J. Emery
2008 A* conf
Deep learning via semi-supervised embedding.
ICML
Jason Weston, Frédéric Ratle, Ronan Collobert
2008 — conf
Large-Scale Clustering through Functional Embedding.
ECML/PKDD (2)
Frédéric Ratle, Jason Weston, Matthew L. Miller
2007 C conf
A Comparison of One-Class Classifiers for Novelty Detection in Forensic Case Data.
IDEAL
Frédéric Ratle, Mikhail F. Kanevski, Anne-Laure Terrettaz-Zufferey, Pierre Esseiva, Olivier Ribaux
2006 — conf
Learning Manifolds in Forensic Data.
ICANN (2)
Frédéric Ratle, Anne-Laure Terrettaz-Zufferey, Mikhail F. Kanevski, Pierre Esseiva, Olivier Ribaux
2006 B conf
Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms.
ESANN
Frédéric Ratle, Anne-Laure Terrettaz, Mikhail F. Kanevski, Pierre Esseiva, Olivier Ribaux
2004 A conf
Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm.
PPSN
Frédéric Ratle, Benoît Lecarpentier, Richard Labib, François Trochu