Repositorium für Publikationen und Forschungsdaten

Suchen Sie in der Research Collection der ETH Zürich nach wissenschaftlichen Publikationen und Forschungsdaten oder laden Sie selbst eigenen Forschungsoutput hoch. Weiterlesen

Aktuell 

ETH RDM Summer School 2024 für Nachwuchswissenschaftler:innen

Die ETH Research Data Management Summer School 2024 hat noch einige freie Plätze. Nutzen Sie die Gelegenheit und lernen Sie zwischen dem 10. und 14. Juni 2024 mehr über das Thema! Anmeldung und weitere Informationen

Coffee Lectures – das neue Programm ist da

In nur 15 Minuten: Holen Sie sich nützliche Tools und Themen, die Sie bei Ihrer täglichen Forschungsarbeit unterstützen – in den Coffee Lectures der ETH-Bibliothek. Weiterlesen

Fit im Forschungsdatenmanagement – Workshop-Reihe im Frühjahrssemester 2024

Machen Sie sich und Ihr Forschungsprojekt fit mit unserem Workshop-​Angebot zum Thema Forschungsdatenmanagement. Ab sofort können Sie sich für die Workshops im Frühjahrssemester 2024 anmelden. Weiterlesen

Neueste Publikationen 

  1. ShellNeRF: Learning a Controllable High-resolution Model of the Eye and Periocular Region 

    Li, G.; Sarkar, K.; Meka, A.; et al. (2024)
    Computer Graphics Forum
    Eye gaze and expressions are crucial non-verbal signals in face-to-face communication. Visual effects and telepresence demand significant improvements in personalized tracking, animation, and synthesis of the eye region to achieve true immersion. Morphable face models, in combination with coordinate-based neural volumetric representations, show promise in solving the difficult problem of reconstructing intricate geometry (eyelashes) and ...
    Journal Article
  2. The Man Behind the Curtain: Appropriating Fairness in AI 

    Korecki M.; Köstner G.; Martinelli E.; et al. (2024)
    Minds and Machines
    Our goal in this paper is to establish a set of criteria for understanding the meaning and sources of attributing (un)fairness to AI algorithms. To do so, we first establish that (un)fairness, like other normative notions, can be understood in a proper primary sense and in secondary senses derived by analogy. We argue that AI algorithms cannot be said to be (un)fair in the proper sense due to a set of criteria related to normativity and ...
    Journal Article
  3. Interpretable representations in explainable AI: from theory to practice 

    Sokol, Kacper; Flach, Peter (2024)
    Data Mining and Knowledge Discovery
    Interpretable representations are the backbone of many explainers that target black-box predictive systems based on artificial intelligence and machine learning algorithms. They translate the low-level data representation necessary for good predictive performance into high-level human-intelligible concepts used to convey the explanatory insights. Notably, the explanation type and its cognitive complexity are directly controlled by the ...
    Journal Article
  4. Epidermal visualized health monitoring system based on stretchable and washable TPU hybrid conductive microtextiles 

    Yuan, Jing-Bo; Feng, Zhi-Hong; Li, Dong-Chan; et al. (2024)
    Rare Metals
    Electronic textiles, an emerging class of electronic technology, offer exciting opportunities for seamless integration with the human body. Numerous applications have been developed based on electronic textiles. However, researches on integrating multiple electronic textile-based devices are still few. In this study, we present a system integrated with an electrocardiogram monitoring sensor and an electroluminescence device based on ...
    Journal Article

Mehr anzeigen