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  1. No Access

    Chapter

    Deep Learning via Semi-supervised Embedding

    We show how nonlinear semi-supervised embedding algorithms popular for use with “shallow” learning techniques such as kernel methods can be easily applied to deep multi-layer architectures, either as a regular...

    Jason Weston, Frédéric Ratle, Hossein Mobahi… in Neural Networks: Tricks of the Trade (2012)

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    Chapter and Conference Paper

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

    This paper investigates the application of novelty detection techniques to the problem of drug profiling in forensic science. Numerous one-class classifiers are tried out, from the simple k-means to the more e...

    Frédéric Ratle, Mikhail Kanevski… in Intelligent Data Engineering and Automated… (2007)

  3. No Access

    Chapter and Conference Paper

    Learning Manifolds in Forensic Data

    Chemical data related to illicit cocaine seizures is analyzed using linear and nonlinear dimensionality reduction methods. The goal is to find relevant features that could guide the data analysis process in ch...

    Frédéric Ratle, Anne-Laure Terrettaz-Zufferey… in Artificial Neural Networks – ICANN 2006 (2006)