Frédéric Ratle

According to our database, Frédéric Ratle authored at least 15 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Benchmarking a Benchmark: How Reliable is MS-COCO?

Eric Zimmermann, Justin Szeto, Jérôme Pasquero, Frédéric Ratle

CoRR, 2023

An Empirical Study of Uncertainty in Polygon Annotation and the Impact of Quality Assurance.

Eric Zimmermann, Justin Szeto, Frédéric Ratle

CoRR, 2023

2012

Deep Learning via Semi-supervised Embedding.

Jason Weston, Frédéric Ratle, Hossein Mobahi, Ronan Collobert

Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

2010

Correction to "Active Learning Methods for Remote Sensing Image Classification" [Jul 09 2218-2232].

Devis Tuia, Frédéric Ratle, Fabio Pacifici, Mikhail F. Kanevski, William J. Emery

IEEE Trans. Geosci. Remote. Sens., 2010

Semisupervised Neural Networks for Efficient Hyperspectral Image Classification.

Frédéric Ratle, Gustavo Camps-Valls, Jason Weston

IEEE Trans. Geosci. Remote. Sens., 2010

Multisource Composite Kernels for Urban-Image Classification.

Devis Tuia, Frédéric Ratle, Alexei Pozdnoukhov, Gustavo Camps-Valls

IEEE Geosci. Remote. Sens. Lett., 2010

2009

Active Learning Methods for Remote Sensing Image Classification.

Devis Tuia, Frédéric Ratle, Fabio Pacifici, Mikhail F. Kanevski, William J. Emery

IEEE Trans. Geosci. Remote. Sens., 2009

Evolutionary operators for optimal gate location in liquid composite moulding.

Frédéric Ratle, Vincent Achim, François Trochu

Appl. Soft Comput., 2009

2008

Large-Scale Clustering through Functional Embedding.

Frédéric Ratle, Jason Weston, Matthew L. Miller

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling.

Devis Tuia, Frédéric Ratle, Fabio Pacifici, Alexei Pozdnoukhov, Mikhail F. Kanevski, Fabio Del Frate, Domenico Solimini, William J. Emery

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Deep learning via semi-supervised embedding.

Jason Weston, Frédéric Ratle, Ronan Collobert

Proceedings of the Machine Learning, 2008

2007

A Comparison of One-Class Classifiers for Novelty Detection in Forensic Case Data.

Frédéric Ratle, Mikhail F. Kanevski, Anne-Laure Terrettaz-Zufferey, Pierre Esseiva, Olivier Ribaux

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

2006

Learning Manifolds in Forensic Data.

Frédéric Ratle, Anne-Laure Terrettaz-Zufferey, Mikhail F. Kanevski, Pierre Esseiva, Olivier Ribaux

Proceedings of the Artificial Neural Networks, 2006

Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms.

Frédéric Ratle, Anne-Laure Terrettaz, Mikhail F. Kanevski, Pierre Esseiva, Olivier Ribaux

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2004

Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm.

Frédéric Ratle, Benoît Lecarpentier, Richard Labib, François Trochu

Proceedings of the Parallel Problem Solving from Nature, 2004