Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm. - Frédéric Ratle; Benoît Lecarpentier; Richard Labib; François Trochu (PPSN, 2004)

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 (ESANN, 2006)

Learning Manifolds in Forensic Data. - Frédéric Ratle; Anne-Laure Terrettaz-Zufferey; Mikhail F. Kanevski; Pierre Esseiva; Olivier Ribaux (ICANN (2), 2006)

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 (IDEAL, 2007)

Deep learning via semi-supervised embedding. - Jason Weston; Frédéric Ratle; Ronan Collobert (ICML, 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 (IGARSS (4), 2008)

Large-Scale Clustering through Functional Embedding. - Frédéric Ratle; Jason Weston; Matthew L. Miller (ECML/PKDD (2), 2008)

Evolutionary operators for optimal gate location in liquid composite moulding. - Frédéric Ratle; Vincent Achim; François Trochu (Appl. Soft Comput., 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)

Multisource Composite Kernels for Urban-Image Classification. - Devis Tuia; Frédéric Ratle; Alexei Pozdnoukhov; Gustavo Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2010)

Semisupervised Neural Networks for Efficient Hyperspectral Image Classification. - Frédéric Ratle; Gustavo Camps-Valls; Jason Weston (IEEE Trans. Geosci. Remote. Sens., 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)

Deep Learning via Semi-supervised Embedding. - Jason Weston; Frédéric Ratle; Hossein Mobahi; Ronan Collobert (Neural Networks: Tricks of the Trade (2nd ed.), 2012)

An Empirical Study of Uncertainty in Polygon Annotation and the Impact of Quality Assurance. - Eric Zimmermann; Justin Szeto; Frédéric Ratle (CoRR, 2023)

Benchmarking a Benchmark: How Reliable is MS-COCO? - Eric Zimmermann; Justin Szeto; Jérôme Pasquero; Frédéric Ratle (CoRR, 2023)