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Frédéric Kaplan

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Publications associées (87)

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

Frédéric Kaplan, Gianrocco Lazzari, Giovanni Colavizza, Marcel Salathé

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, Nils Hamel, Yann Francis Eric Dubois, Guillaume Simon Joseph Drevon, 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, Albane Bénédicte Descombes, Raphaël Barman, Isabella Di Lenardo

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, Sofia Ares Oliveira, Isabella Di Lenardo, 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

Boris Beaude, Frédéric Kaplan, Dario Rodighiero

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, Benoît Laurent Auguste Seguin, Isabella Di Lenardo

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 ...

2018

Deep Learning for Logic Optimization Algorithms

Sabine Süsstrunk, Giovanni De Micheli, Frédéric Kaplan, Benoît Laurent Auguste Seguin, Winston Jason Haaswijk, Edo Collins, Mathias Soeken

The slowing down of Moore's law and the emergence of new technologies puts an increasing pressure on the field of EDA. There is a constant need to improve optimization algorithms. However, finding and implementing such algorithms is a difficult task, espec ...

IEEE2018

Comparing human and machine performances in transcribing 18th century handwritten Venetian script

Frédéric Kaplan, Sofia Ares Oliveira

Automatic transcription of handwritten texts has made important progress in the recent years. This increase in performance, essentially due to new architectures combining convolutional neural networks with recurrent neutral networks, opens new avenues for ...

2018

dhSegment: A generic deep-learning approach for document segmentation

Frédéric Kaplan, Benoît Laurent Auguste Seguin, Sofia Ares Oliveira

In recent years there have been multiple successful attempts tackling document processing problems separately by designing task specific hand-tuned strategies. We argue that the diversity of historical document processing tasks prohibits to solve them one ...

IEEE2018

Extracting And Aligning Artist Names in Digitized Art Historical Archives

Frédéric Kaplan, Benoît Laurent Auguste Seguin, Isabella Di Lenardo

The largest collections of art historical images are not found online but are safeguarded by museums and other cultural institutions in photographic libraries. These collections can encompass millions of reproductions of paintings, drawings, engravings and ...

Red de Humanidades Digitales A. C.2018

The references of references: a method to enrich humanities library catalogs with citation data

Frédéric Kaplan, Giovanni Colavizza, Matteo Romanello

The advent of large-scale citation indexes has greatly impacted the retrieval of scientific information in several domains of research. The humanities have largely remained outside of this shift, despite their increasing reliance on digital means for infor ...

Springer Verlag2017

Big Data of the Past

Frédéric Kaplan, Isabella Di Lenardo

Big Data is not a new phenomenon. History is punctuated by regimes of data acceleration, characterized by feelings of information overload accompanied by periods of social transformation and the invention of new technologies. During these moments, private ...

2017

Tracking Transmission of Details in Paintings

Frédéric Kaplan, Benoît Laurent Auguste Seguin, Isabella Di Lenardo

In previous articles (di Lenardo et al, 2016; Seguin et al, 2016), we explored how efficient visual search engines operating not on the basis of textual metadata but directly through visual queries, could fundamen- tally change the navigation in large data ...

2017

Studying Linguistic Changes over 200 Years of Newspapers through Resilient Words Analysis

Cyril Antoine Michel Bornet, Frédéric Kaplan, Vincent Christian Buntinx

This paper presents a methodology to analyze linguistic changes in a given textual corpus allowing to overcome two common problems related to corpus linguistics studies. One of these issues is the monotonic increase of the corpus size with time, and the ot ...

2017

Layout Analysis on Newspaper Archives

Aris Xanthos, Frédéric Kaplan, Vincent Christian Buntinx

The study of newspaper layout evolution through historical corpora has been addressed by diverse qualitative and quantitative methods in the past few years. The recent availability of large corpora of newspapers is now making the quantitative analysis of l ...

2017

Machine Vision Algorithms on Cadaster Plans

Frédéric Kaplan, Sofia Ares Oliveira, Isabella Di Lenardo

Cadaster plans are cornerstones for reconstructing dense representations of the history of the city. They provide information about the city urban shape, enabling to reconstruct footprints of most important urban components as well as information about the ...

2017

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