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  • Open Access English
    Authors: 
    Zaugg, Roberto;
    Publisher: HAL CCSD
    Country: France
    Project: SNSF | Histoires connectées, his... (148042), EC | CONFIGMED (295868)

    International audience; This essay examines the geographic origins, the political belongings and the confessional profiles of the members of the two most important mercantile nations of eighteenth-century southern Italy: the French nation and the British factory of Naples. Taking into account their pronounced prosopographic heterogeneity, it shows how legal resources and their social uses played a crucial role in defining the boundaries of such groups.

  • Open Access
    Authors: 
    Herbert Bruderer;
    Publisher: Springer Berlin Heidelberg
    Country: France

    Part 4: Spotlight on Some Research Projects; International audience; Since 2009 we have been trying to find out more about the beginnings of computer science in Switzerland and abroad. Most eyewitnesses have already died or are over 80 years old. In general, early analog and digital computers have been dismantled long ago. Subject to exceptions, the few remaining devices are no longer functioning. Many documents have gone lost. Therefore investigations are difficult and very time-consuming. However, we were able to discover several unknown historical computers and hundreds of exciting documents of the 1950s. In 2012, the results have been published in a first book; a second volume will be forthcoming next year.

  • Open Access
    Authors: 
    Herbert Bruderer;
    Publisher: Springer International Publishing
    Country: France

    International audience; The Austrian engineer Curt Herzstark invented the world-renowned mechanical pocket calculator Curta. The books and the papers on the history of computing mention two models, Curta 1 and Curta 2. In November 2015 original drawings and patent documents on a multiple Curta were discovered in Switzerland. This device is supposed to be the world’s smallest mechanical parallel calculator.

  • Publication . Other literature type . Preprint . Article . Part of book or chapter of book . 2017
    Open Access
    Authors: 
    David Chiavacci; Sébastien Lechevalier;
    Publisher: Informa UK Limited
    Countries: Switzerland, France, France, France, France
    Project: EC | INCAS (645763), EC | INCAS (645763)

    This article has been published as the introduction of the special issue in Japan Forum (“Japanese Political Economy Revisited: Abenomics and Institutional Change”) and as an introduction to the book (Japanese Political Economy Revisited: Abenomics and Institutional Change, Routledge); This introductory article to the special issue on “Japanese Political Economy Revisited: Diverse Corporate Change, Institutional Transformation, and Abenomics” starts with a short summaryof the changing perceptions of Japan’s political economy from its meteoric rise as worldwide leading model in the 1970s and 1980s to its demotiontoa problem and reform case since the later 1990s. Based on this overview, it identifies some striking issue and open questions in this conventional view of Japan’s political economy as problem and the high expectations on Abenomics as Japan’s current economic reform programme. Then we discuss the articles of the special issue and their new contributionsto a better understanding of the developments at the corporate level as well as institutional change and economic reforms at the macro level in the last two decades. Finally, this introductory article ends with a short outlineof a new research programme and four central research questions about the Japanese political economy.

  • Publication . Part of book or chapter of book . Conference object . 2019
    Open Access English
    Authors: 
    Elisa Nury;
    Country: Switzerland

    International audience; This paper describes the workflow of the Grammateus project, from gathering data on Greek documentary papyri to the creation of a web application. The first stage is the selection of a corpus and the choice of metadata to record: papyrology specialists gather data from printed editions, existing online resources and digital facsimiles. In the next step, this data is transformed into the EpiDoc standard of XML TEI encoding, to facilitate its reuse by others, and processed for HTML display. We also reuse existing text transcriptions available on . Since these transcriptions may be regularly updated by the scholarly community, we aim to access them dynamically. Although the transcriptions follow the EpiDoc guidelines, the wide diversity of the papyri as well as small inconsistencies in encoding make data reuse challenging. Currently, our data is available on an institutional GitLab repository, and we will archive our final dataset according to the FAIR principles.

  • Publication . Preprint . Other literature type . Part of book or chapter of book . Article . Conference object . 2020
    Open Access English
    Authors: 
    Diego Marcos; Ruth Fong; Sylvain Lobry; Rémi Flamary; Nicolas Courty; Devis Tuia;
    Publisher: HAL CCSD
    Countries: Switzerland, Netherlands, France
    Project: ANR | 3IA@cote d'azur (ANR-19-P3IA-0002), ANR | OATMIL (ANR-17-CE23-0012)

    International audience; Convolutional neural networks (CNN) are known to learn an image representation that captures concepts relevant to the task, but do so in an implicit way that hampers model interpretability. However, one could argue that such a representation is hidden in the neurons and can be made explicit by teaching the model to recognize semantically interpretable attributes that are present in the scene. We call such an intermediate layer a \emph{semantic bottleneck}. Once the attributes are learned, they can be re-combined to reach the final decision and provide both an accurate prediction and an explicit reasoning behind the CNN decision. In this paper, we look into semantic bottlenecks that capture context: we want attributes to be in groups of a few meaningful elements and participate jointly to the final decision. We use a two-layer semantic bottleneck that gathers attributes into interpretable, sparse groups, allowing them contribute differently to the final output depending on the context. We test our contextual semantic interpretable bottleneck (CSIB) on the task of landscape scenicness estimation and train the semantic interpretable bottleneck using an auxiliary database (SUN Attributes). Our model yields in predictions as accurate as a non-interpretable baseline when applied to a real-world test set of Flickr images, all while providing clear and interpretable explanations for each prediction.

  • Open Access English
    Authors: 
    Xiucheng Yang; Mathieu Koehl; Pierre Grussenmeyer;
    Publisher: HAL CCSD
    Country: France
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