Repository for Publications and Research Data

Search ETH Zurich’s Research Collection for scientific publications and research data or submit your own research output. Read more

News 

Research Collection: Statistics August 2019

August was a month of comebacks for the most popular works: the most downloaded article, as well as the dataset and the doctoral thesis, had already been on this list. This is not surprising in the case of the doctoral thesis, since it is Albert Einstein’s work, a true classic of scientific literature. Read more

How to publish an article in the Research Collection

Would you like to make your journal article open access? In a new video tutorial, you can learn how to upload your article to the Research Collection and what you need to keep in mind at every step of the submission process. Read more

Research Collection: Statistics July 2019

In July, Albert Einstein was again at the forefront of the most downloaded doctoral thesis with his work «Eine neue Methode zur Bestimmung der Moleküldimension». Read more

  

Recently Added 

  1. Uncertainty based model selection for fast semantic segmentation 

    Huang, Yu-Hui; Georgoulis, Stamatios; Proesmans, Marc; et al. (2019)
    PROCEEDINGS OF MVA 2019 16TH INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS (MVA)
    Conference Paper

  2. Integrating Remote Sensing into Wildlife Monitoring for Conservation 

    Stephenson, P. J. (2019)
    ENVIRONMENTAL CONSERVATION
    Other Journal Item

  3. 12th Young Faculty Meeting, 28th May 2019 

    Šolomek, Tomáš; Rivera Fuentes, Pablo; Merz, Leo (2019)
    Chimia
    Other Journal Item

  4. The reaction mechanism of the azide–alkyne Huisgen cycloaddition 

    Danese, Martina; Bon, Marta; Piccini, GiovanniMaria; et al. (2019)
    Physical Chemistry Chemical Physics
    Journal Article

  5. Aggressive or moderate drug therapy for infectious diseases? Trade-offs between different treatment goals at the individual and population levels 

    Sciré, Jérémie; Hozé, Nathanaël; Uecker, Hildegard (2019)
    PLoS Computational Biology
    Antimicrobial resistance is one of the major public health threats of the 21st century. There is a pressing need to adopt more efficient treatment strategies in order to prevent the emergence and spread of resistant strains. The common approach is to treat patients with high drug doses, both to clear the infection quickly and to reduce the risk of de novo resistance. Recently, several studies have argued that, at least in some cases, ...
    Journal Article

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