4 citations · 8 across the 4 of their papers we have counts for
5 papers
DARE: A large-scale handwritten date recognition system
Christian M. Dahl, Torben S. D. Johansen, Emil N. Sørensen +2
Handwritten text recognition for historical documents is an important task but it remains difficult due to a lack of sufficient training data in combination with a large variabilit…
The Long-Term Effects of Early-Life Pollution Exposure: Evidence from the London Smog
Stephanie von Hinke, Emil N. Sørensen
This paper uses a large UK cohort to investigate the impact of early-life pollution exposure on individuals' human capital and health outcomes in older age. We compare individuals…
Applications of Machine Learning in Document Digitisation
Christian M. Dahl, Torben S. D. Johansen, Emil N. Sørensen +2
Data acquisition forms the primary step in all empirical research. The availability of data directly impacts the quality and extent of conclusions and insights. In particular, larg…
Time Series (re)sampling using Generative Adversarial Networks
Christian M. Dahl, Emil N. Sørensen
We propose a novel bootstrap procedure for dependent data based on Generative Adversarial networks (GANs). We show that the dynamics of common stationary time series processes can…
HANA: A HAndwritten NAme Database for Offline Handwritten Text Recognition
Christian M. Dahl, Torben Johansen, Emil N. Sørensen +1
Methods for linking individuals across historical data sets, typically in combination with AI based transcription models, are developing rapidly. Probably the single most important…