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Isabella di Lenardo

Has grant

Scientist

EPFL (École Polytechnique Fédérale de Lausanne)

Switzerland

Research Interests

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Recent Grants

Grant: Close

Parcels of Venice: A computational approach to the evolution to Venice in the 19th century

Open Date: 2019-09-01

Close Date: 2023-08-31

Articles (15)

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2026

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2023

Collaborators (7)

Polly Hudson

senior research fellow

The Alan Turing Institute

UNITED KINGDOM

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Frederic Kaplan

Associate Professor

EPFL (École Polytechnique Fédérale de Lausanne)

SWITZERLAND

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Yao-Yi Chiang

Faculty, Professor

University of Minnesota

UNITED STATES

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Katherine McDonough

Assistant Professor of History

Carnegie Mellon University

UNITED STATES

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Hendrik Herold

Senior Scientist

Leibniz Institute of Ecological Urban and Regional Development

GERMANY

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Robert Hecht

Leibniz Institute of Ecological Urban and Regional Development

GERMANY

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Ferdinand Maiwald

Professor

TUD Dresden University of Technology

GERMANY

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Isabella di Lenardo

Research Interests

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Recent Grants

Articles (15)

A Layer of Late Victorian London: The Building Footprints from the 1:1,056 Ordnance Survey Map (1891–1896)

ICDAR 2025 Competition on Historical Map Text Detection, Recognition, and Linking

Exploring cartographic genealogies through deformation analysis: case studies on ancient maps and synthetic data

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

The 1808 Napoleonic Land Registers of Venice: Spatial and Textual Dataset

Georeferencing historical maps using local feature matching and Delaunay consistency

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

LLM agents for interactive exploration of historical cadastre data: framework and application to Venice

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

Artificial Intelligence for Digital Heritage Innovation: Setting up a R&D Agenda for Europe

Theory and Practice of Historical Data Versioning: The Case of the Venice and Lausanne Census and Cadastral Datasets

Revealing the Structure of Land Ownership through the Automatic Vectorisation of Swiss Cadastral Plans

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

Ce que les machines ont vu et que nous ne savons pas encore

The Skin of Venice: Automatic Facade Extraction from Point Clouds.

Collaborators (7)

Polly Hudson

Frederic Kaplan

Yao-Yi Chiang

Katherine McDonough

Hendrik Herold

Robert Hecht

Ferdinand Maiwald

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