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Smits, T., & Wevers, M. (2023). A multimodal turn in Digital Humanities. Using contrastive machine learning models to explore, enrich, and analyze digital visual historical collections. Digital Scholarship in the Humanities, 38(3), 1267-1280. Advance online publication. https://doi.org/10.1093/llc/fqad008[details]
Wevers, M., & Smits, T. (2020). Detecting Faces, Visual Medium Types, and Gender in Historical Advertisements, 1950–1995. In A. Bartoli, & A. Fusiello (Eds.), Computer Vision – ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 : proceedings (Vol. II, pp. 77-91). (Lecture Notes in Computer Science; Vol. 12536). Springer. https://doi.org/10.1007/978-3-030-66096-3_7[details]
Wevers, M., & Smits, T. (2020). The visual digital turn: Using neural networks to study historical images. Digital Scholarship in the Humanities, 35(1), 194-207. Advance online publication. https://doi.org/10.1093/llc/fqy085
2022
Smits, T., Wevers, M., & Paklons, E. (2022). A Clash of Colorful Worlds: Distant Viewing Color in Visual Representations of the Orient and Occident, 1890-1920. Paper presented at DH Benelux 2022, Belval, Luxembourg. https://doi.org/10.5281/zenodo.6530402
Wevers, M. (speaker) & Smits, T. (speaker) (7-10-2021). Shaping the Neoliberal Consumer, or how computational methods can help in analyzing Dutch historical advertisements for financial products., European History Reloaded, Utrecht.
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