Frédéric Kaplan

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A digital reconstruction of the 1630–1631 large plague outbreak in Venice

Frédéric Kaplan, Marcel Salathé, Gianrocco Lazzari, Giovanni Colavizza

The plague, an infectious disease caused by the bacterium Yersinia pestis, is widely considered to be responsible for the most devastating and deadly pandemics in human history. Starting with the infamous Black Death, plague outbreaks are estimated to have ...

Nature Research2020

Swiss in motion : Analyser et visualiser les rythmes quotidiens. Une première approche à partir du dispositif Time-Machine

Vincent Kaufmann, Frédéric Kaplan, Guillaume Simon Joseph Drevon, Yann Francis Eric Dubois, Nils Hamel, Patrick Rerat

Au cours des 50 dernières années, les développements technologiques dans le domaine des transports et des télécommunications ont contribué à reconfigurer les comportements spatio-temporels (Kaufmann, 2008). Les individus bénéficient ainsi d’un large univer ...

EPFL-UNIL2020

Historical Newspaper Content Mining: Revisiting the impresso Project's Challenges in Text and Image Processing, Design and Historical Scholarship

Frédéric Kaplan, Maud Ehrmann, Matteo Romanello

Long abstract for a presentation at DH2020 (online). ...

ADHO2020

Repopulating Paris: massive extraction of 4 Million addresses from city directories between 1839 and 1922

Frédéric Kaplan, Isabella Di Lenardo, Raphaël Barman, Albane Bénédicte Descombes

In 1839, in Paris, the Maison Didot bought the Bottin company. Sébastien Bottin trained as a statistician was the initiator of a high impact yearly publication, called “Almanachs" containing the listing of residents, businesses and institutions, arranged g ...

Utrecht University2019

Frederic Kaplan Isabella di Lenardo

Frédéric Kaplan, Isabella Di Lenardo

APOLLO MAGAZINE LTD2019

Transforming scholarship in the archives through handwritten text recognition Transkribus as a case study

Frédéric Kaplan, Sofia Ares Oliveira

Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus, gives examples of use cases, highlights the af ...

2019

A deep learning approach to Cadastral Computing

Frédéric Kaplan, Isabella Di Lenardo, Sofia Ares Oliveira, Bastien Solal Emile Tourenc

This article presents a fully automatic pipeline to transform the Napoleonic Cadastres into an information system. The cadastres established during the first years of the 19th century cover a large part of Europe. For many cities they give one of the first ...

2019

Mapping Affinities in Academic Organizations

Frédéric Kaplan, Dario Rodighiero, Boris Beaude

Scholarly affinities are one of the most fundamental hidden dynamics that drive scientific development. Some affinities are actual, and consequently can be measured through classical academic metrics such as co-authoring. Other affinities are potential, an ...

2018

Negentropic linguistic evolution: A comparison of seven languages

Frédéric Kaplan, Vincent Christian Buntinx

The relationship between the entropy of language and its complexity has been the subject of much speculation – some seeing the increase of linguistic entropy as a sign of linguistic complexification or interpreting entropy drop as a marker of greater regul ...

Red de Humanidades Digitales A. C.2018

New Techniques for the Digitization of Art Historical Photographic Archives - the Case of the Cini Foundation in Venice

Frédéric Kaplan, Isabella Di Lenardo, Benoît Laurent Auguste Seguin

Numerous libraries and museums hold large art historical photographic collections, numbering millions of images. Because of their non-standard format, these collections pose special challenges for digitization. This paper address these difficulties by prop ...