The HAICu Project (WP2): Continual Machine Learning and Humans in the Loop

Koen van Schuijlenburg; Annemieke Romein; Ben  Wolf; Sjoerd Weggeman; Sebastiaan Peeters; Maruf Dhali; Klaas Dijkstra; Andreas Weber; Lambert Schomaker

doi:10.5281/zenodo.15829128

The HAICu Project (WP2): Continual Machine Learning and Humans in the Loop

Koen van Schuijlenburg
, Annemieke Romein
, Ben Wolf
, Sjoerd Weggeman
, Sebastiaan Peeters
, Maruf Dhali
, Klaas Dijkstra
, Andreas Weber
, Lambert Schomaker

Research output: Contribution to conference › Poster › Academic

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Abstract

The HAICu (digital Humanities Artificial Intelligence and Cultural heritage) project is an interdisciplinary research initiative at the intersection of digital humanities, AI, and cultural heritage preservation. Work Package 2 (WP2) focuses on researching and developing machine-learning algorithms for the cultural heritage sector promoting
continual, "life-long" learning, enabling multi-modal data mining of historical documents.

Original language	English
DOIs	https://doi.org/10.5281/zenodo.15829128
Publication status	Published - 18 Jul 2025
Event	DH 2025 - NOVA-FCSH, Lisbon, Portugal Duration: 14 Jul 2025 → 18 Jul 2025 https://dh2025.adho.org/about/

Conference

Conference	DH 2025
Country/Territory	Portugal
City	Lisbon
Period	14/07/25 → 18/07/25
Internet address	https://dh2025.adho.org/about/

Keywords

AI
cultural heritage
machine learning
HAICu

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10.5281/zenodo.15829128

DH2025_HAICu_WP2Final published version, 1.3 MB

Cite this

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title = "The HAICu Project (WP2): Continual Machine Learning and Humans in the Loop",

abstract = "The HAICu (digital Humanities Artificial Intelligence and Cultural heritage) project is an interdisciplinary research initiative at the intersection of digital humanities, AI, and cultural heritage preservation. Work Package 2 (WP2) focuses on researching and developing machine-learning algorithms for the cultural heritage sector promoting continual, {"}life-long{"} learning, enabling multi-modal data mining of historical documents.",

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T1 - The HAICu Project (WP2): Continual Machine Learning and Humans in the Loop

AU - van Schuijlenburg, Koen

AU - Romein, Annemieke

AU - Wolf, Ben

AU - Weggeman, Sjoerd

AU - Peeters, Sebastiaan

AU - Dhali, Maruf

AU - Dijkstra, Klaas

AU - Weber, Andreas

AU - Schomaker, Lambert

PY - 2025/7/18

Y1 - 2025/7/18

N2 - The HAICu (digital Humanities Artificial Intelligence and Cultural heritage) project is an interdisciplinary research initiative at the intersection of digital humanities, AI, and cultural heritage preservation. Work Package 2 (WP2) focuses on researching and developing machine-learning algorithms for the cultural heritage sector promoting continual, "life-long" learning, enabling multi-modal data mining of historical documents.

AB - The HAICu (digital Humanities Artificial Intelligence and Cultural heritage) project is an interdisciplinary research initiative at the intersection of digital humanities, AI, and cultural heritage preservation. Work Package 2 (WP2) focuses on researching and developing machine-learning algorithms for the cultural heritage sector promoting continual, "life-long" learning, enabling multi-modal data mining of historical documents.

KW - AI

KW - cultural heritage

KW - machine learning

KW - HAICu

UR - https://zenodo.org/records/15829129

U2 - 10.5281/zenodo.15829128

DO - 10.5281/zenodo.15829128

M3 - Poster

T2 - DH 2025

Y2 - 14 July 2025 through 18 July 2025

ER -

The HAICu Project (WP2): Continual Machine Learning and Humans in the Loop

Abstract

Conference

Keywords

Access to Document

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