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Found 5 papers, 2 papers with code
Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI
An ML based analysis of these tables helps to unveil important facets of the spatio-temporal evolution of knowledge and innovation in the field of mathematical astronomy in the period, as taught at European universities.
Prompt me a Dataset: An investigation of text-image prompting for historical image dataset creation using foundation models
In this paper, we present a pipeline for image extraction from historical documents using foundation models, and evaluate text-image prompts and their effectiveness on humanities datasets of varying levels of complexity.
CorDeep and the Sacrobosco Dataset: Detection of Visual Elements in Historical Documents
Recent advances in object detection facilitated by deep learning have led to numerous solutions in a myriad of fields ranging from medical diagnosis to autonomous driving.
Evolution and Transformation of Scientific Knowledge over the Sphaera Corpus: A Network Study
The most influential books in the corpus are found by calculating the average age of all the out-going and in-coming links for each book.
History and Philosophy of Physics Digital Libraries Physics and Society
Building and Interpreting Deep Similarity Models
Many learning algorithms such as kernel machines, nearest neighbors, clustering, or anomaly detection, are based on the concept of 'distance' or 'similarity'.
