5 citations · 8 across the 3 of their papers we have counts for
5 papers
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data
Oscar Giles, Kasra Hosseini, Grigorios Mingas +13
Synthetic datasets are often presented as a silver-bullet solution to the problem of privacy-preserving data publishing. However, for many applications, synthetic data has been sho…
MapReader: A Computer Vision Pipeline for the Semantic Exploration of Maps at Scale
Kasra Hosseini, Daniel C. S. Wilson, Kaspar Beelen +1
We present MapReader, a free, open-source software library written in Python for analyzing large map collections (scanned or born-digital). This library transforms the way historia…
Neural Language Models for Nineteenth-Century English
Kasra Hosseini, Kaspar Beelen, Giovanni Colavizza +1
We present four types of neural language models trained on a large historical dataset of books in English, published between 1760-1900 and comprised of ~5.1 billion tokens. The lan…
A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching
Mariona Coll Ardanuy, Kasra Hosseini, Katherine McDonough +3
Recognizing toponyms and resolving them to their real-world referents is required for providing advanced semantic access to textual data. This process is often hindered by the high…
Living Machines: A study of atypical animacy
Mariona Coll Ardanuy, Federico Nanni, Kaspar Beelen +7
This paper proposes a new approach to animacy detection, the task of determining whether an entity is represented as animate in a text. In particular, this work is focused on atypi…