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Thomas Smits
Thomas Smits
Assistant Professor Digital History & AI, University of Amsterdam
Vahvistettu sähköpostiosoite verkkotunnuksessa uva.nl - Kotisivu
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The visual digital turn: Using neural networks to study historical images
M Wevers, T Smits
Digital Scholarship in the Humanities 35 (1), 194-207, 2020
1032020
The European illustrated press and the emergence of a transnational visual culture of the news, 1842-1870
T Smits
Routledge, 2019
362019
Problems and possibilities of digital newspaper and periodical archives
T Smits
Tijdschrift voor tijdschriftstudies, 139-146, 2014
242014
Looking for The Illustrated London News in Australian Digital Newspapers: Colonial readership and the formation of imagined communities, 1842–1872
T Smits
Media History 23 (1), 80-99, 2017
172017
The agency of computer vision models as optical instruments
T Smits, M Wevers
Visual Communication 21 (2), 329-349, 2022
152022
Distant reading 940,000 online circulations of 26 iconic photographs
T Smits, R Ros
New Media & Society 25 (12), 3543-3572, 2023
102023
A multimodal turn in Digital Humanities. Using contrastive machine learning models to explore, enrich, and analyze digital visual historical collections
T Smits, M Wevers
Digital Scholarship in the Humanities 38 (3), 1267-1280, 2023
92023
Making the News National: Using Digitized Newspapers to Study the Distribution of the Queen's Speech by WH Smith & Son, 1846–1858
T Smits
Victorian Periodicals Review 49 (4), 598-625, 2016
92016
Chronic (classified historical newspaper images)
T Smits, WJ Faber
KB Lab 21, 2018
82018
Illustrations to Photographs: using computer vision to analyse news pictures in Dutch newspapers, 1860-1940.
T Smits
DH, 2017
72017
A network of photographs: The visual public memory of the Dutch Provo movement, 1967–2016
T Smits
Memory Studies 15 (1), 184-203, 2022
52022
Quantifying Iconicity in 940K Online Circulations of 26 Iconic Photographs.
T Smits, R Ros
CHR, 375-384, 2020
52020
Towards Multimodal Computational Humanities. Using CLIP to Analyze Late-Nineteenth Century Magic Lantern Slides.
T Smits, M Kestemont
CHR, 149-158, 2021
42021
Detecting faces, visual medium types, and gender in historical advertisements, 1950–1995
M Wevers, T Smits
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
32020
Seeing History: Analyzing Large-scale Historical Visual Datasets Using Deep Neural Networks
M Wevers, T Smits
32018
The Great Unseen. Photojournalism and the archive: from analogue to digital
T Smits, S Asser
TMG Journal for Media History 25 (1), 2022
22022
Hidden gems and pointing fingers
TP Smits
22015
The Visual Memory of Protest
A Rigney, T Smits
Amsterdam University Press, 2023
12023
Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1)
D van Strien, K Beelen, M Wevers, T Smits, K McDonough
The Programming Historian, 2022
12022
Three perspectives on a collaborative attempt to use computer vision techniques to automatically classify historical newspaper images.
M Kleppe, T Smits, WJ Faber
TwinTalks@ DHN, 5-12, 2019
12019
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Artikkelit 1–20