Publications de Frédéric Kaplan

Publications associées (87)

A fragment-based approach for computing the long-term visual evolution of historical maps

Frédéric Kaplan, Isabella Di Lenardo, Rémi Guillaume Petitpierre

Cartography, as a strategic technology, is a historical marker. Maps are tightly connected to the cultural construction of the environment. The increasing availability of digital collections of historical map images provides an unprecedented opportunity to ...

Springernature2024

Automatic Content Curation of Visual Heritage

Mathieu Salzmann, Frédéric Kaplan, Nicolas Henchoz, Delphine Ribes Lemay, Lara Jacqueline Défayes, André Viegas Andrade

Digitization and preservation of large heritage induce high maintenance costs to keep up with the technical standards and ensure sustainable access. Creating impactful usage is instrumental to justify the resources for long-term preservation. The Museum fü ...

2021

Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction

Frédéric Kaplan, Isabella Di Lenardo, Rémi Guillaume Petitpierre, Beatrice Vaienti

The generation of 3D models depicting cities in the past holds great potential for documentation and educational purposes. However, it is often hindered by incomplete historical data and the specialized expertise required. To address these challenges, we p ...

2023

Reconstructing Saint Mark’s Square in Venice: A 4D Model with Point Cloud Integration for Analyzing Historiographical Hypotheses

Frédéric Kaplan, Isabella Di Lenardo, Paul Robert Guhennec, Beatrice Vaienti

This study explores the 4D reconstruction of part of the monumental heritage of St. Mark’s Square in Venice, contextualizing the modeling of its evolution in the broader field of digital historiography. The presented methodology is based on comparing the p ...

MDPI AG2025

In search of the neural circuits of intrinsic motivation

Frédéric Kaplan

Children seem to acquire new know-how in a continuous and open-ended manner. In this paper, we hypothesize that an intrinsic motivation to progress in learning is at the origins of the remarkable structure of children’s developmental trajectories. In this ...

2007

Tangible Paper Interfaces: Interpreting Pupils' Manipulations

Pierre Dillenbourg, Frédéric Kaplan, Patrick Jermann, Quentin Bonnard

Paper interfaces merge the advantages of the digital and physical world. They can be created using normal paper augmented by a camera+projector system. They are particularly promising for applications in education, because paper is already fully integrated ...

2012

Mapping Affinities in Academic Organizations

Frédéric Kaplan, Boris Beaude, 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

Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers

Frédéric Kaplan, Maud Ehrmann, Sofia Ares Oliveira, Raphaël Barman

The massive amounts of digitized historical documents acquired over the last decades naturally lend themselves to automatic processing and exploration. Research work seeking to automatically process facsimiles and extract information thereby are multiplyin ...

2021

Generic Semantic Segmentation of Historical Maps

Frédéric Kaplan, Isabella Di Lenardo, Rémi Guillaume Petitpierre

Research in automatic map processing is largely focused on homogeneous corpora or even individual maps, leading to inflexible models. Based on two new corpora, the first one centered on maps of Paris and the second one gathering maps of cities from all ove ...

2021

Segmentation and Clustering of Local Planimetric Distortion Patterns in Historical Maps of Jerusalem

Frédéric Kaplan, Isabella Di Lenardo, Beatrice Vaienti

The advancement of computational tools for cartometric analysis has opened new avenues for the identification and understanding of stemmatic relationships between historical maps through the analysis of their planimetric distortions. The 19th-century Weste ...

MDPI AG2025

From Documents to Structured Data: First Milestones of the Garzoni Project

Frédéric Kaplan, Maud Ehrmann, Giovanni Colavizza, Orlin Biserov Topalov

Led by an interdisciplinary consortium, the Garzoni project undertakes the study of apprenticeship, work and society in early modern Venice by focusing on a specific archival source, namely the Accordi dei Garzoni from the Venetian State Archives. The proj ...

2016

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

A Map for Big Data Research in Digital Humanities

Frédéric Kaplan

This article is an attempt to represent Big Data research in digital humanities as a structured research field. A division in three concentric areas of study is presented. Challenges in the first circle – focusing on the processing and interpretations of l ...

2015

Gene therapy for amyotrophic lateral sclerosis (ALS) using a polymer encapsulated xenogenic cell line engineered to secrete hCNTF

Patrick Aebischer, Frédéric Kaplan, Nicole Déglon

The gene therapy approach presented in this protocol employs a polymer encapsulated, xenogenic, transfected cell line to release human ciliary neurotrophic factor (hCNTF) for the treatment of Amyotrophic Lateral Sclerosis (ALS). A tethered device, containi ...

1996

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, Sofia Ares Oliveira, Benoît Laurent Auguste Seguin

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

Deep Learning for Logic Optimization Algorithms

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

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

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

Classification of dog barks: a machine learning approach

Frédéric Kaplan

In this study we analyzed the possible context-specific and individual-specific features of dog barks using a new machine-learning algorithm. A pool containing more than 6,000 barks, which were recorded in six different communicative situations was used as ...

2008