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2020 – today
- 2023
[j3]Thomas Smits
, Melvin Wevers:
A multimodal turn in Digital Humanities. Using contrastive machine learning models to explore, enrich, and analyze digital visual historical collections. Digit. Scholarsh. Humanit. 38(3): 1267-1280 (2023)- [j2]Thomas Smits, Ruben Ros:
Distant reading 940,000 online circulations of 26 iconic photographs. New Media Soc. 25(12): 3543-3572 (2023) - [c13]Thomas Smits, Wouter Haverals, Loren Verreyen, Mona Allaert, Mike Kestemont:
Greetings from! Extracting address information from 100, 000 historical picture postcards. CHR 2023: 512-529 - [c12]Eleonora Paklons, Thomas Smits:
A Model of Heaven: Tracing Images of Holiness in a Collection of 63.000 Lantern Slides (1880-1940). DH 2023 - [c11]Thomas Smits, Ben Lee, Paul Fyfe:
Using Multimodal Machine Learning to Distant View the Illustrated World of the Illustrated London News, 1842-1900. DH 2023 - [c10]Melvin Wevers, Thomas Smits:
A Clash of Colorful Worlds. Distant Viewing Color in Western Visual Representations of the Orient and Occident, 1890-1920. DH 2023 - 2021
- [c9]Thomas Smits, Mike Kestemont:
Towards Multimodal Computational Humanities. Using CLIP to Analyze Late-Nineteenth Century Magic Lantern Slides. CHR 2021: 149-158 - 2020
- [j1]Melvin Wevers, Thomas Smits:
The visual digital turn: Using neural networks to study historical images. Digit. Scholarsh. Humanit. 35(1): 194-207 (2020) - [c8]Thomas Smits, Ruben Ros:
Quantifying Iconicity in 940K Online Circulations of 26 Iconic Photographs. CHR 2020: 375-384 - [c7]Melvin Wevers, Thomas Smits:
Detecting Faces, Visual Medium Types, and Gender in Historical Advertisements, 1950-1995. ECCV Workshops (2) 2020: 77-91
2010 – 2019
- 2019
- [c6]Martijn Kleppe, Thomas Smits, Willem Jan Faber:
Three perspectives on a collaborative attempt to use computer vision techniques to automatically classify historical newspaper images. TwinTalks@DHN 2019: 5-12 - 2018
- [c5]Lauren Tilton, Taylor B. Arnold, Thomas Smits, Melvin Wevers, Mark Williams, Lorenzo Torresani, Maksim Bolonkin, John Bell, Dimitrios Latsis:
Computer Vision in DH. DH 2018: 129-131 - [c4]Melvin Wevers, Thomas Smits, Leonardo Impett:
Modeling the Genealogy of Imagetexts: Studying Images and Texts in Conjunction using Computational Methods. DH 2018: 684-685 - [c3]Sachar Paulus, Thomas Smits, Tobias Becht, Serife Kol:
Ubiquitous Learning Applied to Coding: A set of tools and services to deliver code-intensive learning contexts to student devices. ECSEE 2018: 87-92 - 2017
- [c2]Martijn Kleppe, Matthew Lincoln, Melvin Wevers, Mark Williams, Benoit Seguin, Thomas Smits:
Computer Vision in Digital Humanities. DH 2017 - [c1]Thomas Smits:
Illustrations to Photographs: using computer vision to analyse news pictures in Dutch newspapers, 1860-1940. DH 2017
Coauthor Index
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