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  4. Qiu, Chen [Author] ; Kloft, Marius [Degree supervisor]

    Self-Supervised Anomaly Detection with Neural Transformations

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    Kaiserslautern-Landau: Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, 2023

  6. Dias da Cruz, Steve [Author] ; Stricker, Didier [Degree supervisor]; Kloft, Marius [Degree supervisor]

    Towards Reliable Computer Vision Feature Extraction by Novel Autoencoder Methods

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    Kaiserslautern-Landau: Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, 2023

  7. Dias da Cruz, Steve [Author] ; Stricker, Didier [Degree supervisor]; Kloft, Marius [Degree supervisor]

    Towards Reliable Computer Vision Feature Extraction by Novel Autoencoder Methods

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    Kaiserslautern-Landau: Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, 2023

  8. Kloft, Marius [Author]; Vandermeulen, Robert [Author] ; Technische Universität Kaiserslautern Machine Learning Group

    Pflanzenzüchtungsforschung-Verbundvorhaben: "Zuchtwert Mustererkennung in Hybridkulturarten (BreedPatH)-Teilprojekt B" : Veröffentlichung der Ergebnisse von Forschungsvorhaben im BMBF-Programm : Projektlaufzeit: 01.09.2016 bis 31.01.2020 = BreedPatH: BreedingValue pattern recognition in hybrid crops

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    Kaiserslautern: [Technische Universität Kaiserslautern], [2020?]

  10. Konigorski, Stefan [Author] ; Kloft, Marius [Other]; Pischon, Tobias [Other]; Yilmaz, Yildiz E. [Other]

    Development and application of new statistical methods for the analysis of multiple phenotypes to investigate genetic associations with cardiometabolic traits

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    Berlin: Humboldt-Universität zu Berlin, 2018

  13. Ruff, Lukas [Author] ; Müller, Klaus-Robert [Degree supervisor]; Kloft, Marius [Degree supervisor]; Müller, Klaus-Robert [Other]; Kloft, Marius [Other]; Theodoridis, Sergios [Other]

    Deep one-class learning: a deep learning approach to anomaly detection

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    Berlin: Technische Universität Berlin, 2021

  14. Kloft, Marius [Author]; Enders, Matthias [Author]; Varshneya, Saurabh [Author] ; Technische Universität Kaiserslautern, NPZ Innovation GmbH

    "DeepIntegrate" Integration heterogener Datenquellen im Deep Learning: Architekturen, Algorithmen und Anwendung in der Pflanzenzüchtung : Veröffentlichung der Ergebnisse von Forschungsvorhaben im BMBF-Programm : Projektlaufzeit: 01.01.2019 bis 31.12.2021

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    Kaiserslautern: Technische Universität Kaiserslautern, [2022?]

  15. Ruff, Lukas [Author] ; Müller, Klaus-Robert [Degree supervisor]; Kloft, Marius [Degree supervisor]; Müller, Klaus-Robert [Other]; Kloft, Marius [Other]; Theodoridis, Sergios [Other]

    Deep one-class learning: a deep learning approach to anomaly detection

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    Berlin: Technische Universität Berlin, 2021

  16. Görnitz, Nico [Author] ; Müller, Klaus-Robert [Degree supervisor]; Müller, Klaus-Robert [Other]; Opper, Manfred [Other]; Kloft, Marius [Other]

    One-class classification in the presence of point, collective, and contextual anomalies

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    Berlin: Technische Universität Berlin, 2019

  17. Brockherde, Felix [Author] ; Müller, Klaus-Robert [Degree supervisor]; Burke, Kieron [Other]; Kloft, Marius [Other]; Blankertz, Benjamin [Other]

    Functional regression of densities with application to the simulation of molecular dynamics

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    Berlin: Technische Universität Berlin, 2018

  18. Bauer, Alexander [Author] ; Müller, Klaus-Robert [Degree supervisor]; Opper, Manfred [Other]; Blankertz, Benjamin [Other]; Kloft, Marius [Other]

    Universal exact algorithm for globally augmented MAP inference in structured prediction

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    Berlin: Technische Universität Berlin, 2017

  19. Bengio, Samy [Author]; Dembczynski, Krzysztof [Author]; Joachims, Thorsten [Author]; Kloft, Marius [Author]; Varma, Manik [Author] ; Samy Bengio and Krzysztof Dembczynski and Thorsten Joachims and Marius Kloft and Manik Varma [Contributor]

    Extreme Classification (Dagstuhl Seminar 18291)

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    Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2019

  20. Darrell, Trevor [Author]; Kloft, Marius [Author]; Pontil, Massimiliano [Author]; Rätsch, Gunnar [Author]; Rodner, Erik [Author] ; Trevor Darrell and Marius Kloft and Massimiliano Pontil and Gunnar Rätsch and Erik Rodner [Contributor]

    Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152)

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    Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2015