62 citations · 98 across the 7 of their papers we have counts for
7 papers
More efficient manual review of automatically transcribed tabular data
Bjørn-Richard Pedersen, Rigmor Katrine Johansen, Einar Holsbø +2
Machine learning methods have proven useful in transcribing historical data. However, results from even highly accurate methods require manual verification and correction. Such man…
Inventing a coin-flip classifier: Accounting for multiplicity in machine learning benchmark performance
Kajsa Møllersen, Einar Holsbø
State-of-the-art (SOTA) performance refers to the highest performance achieved by some model on a test sample, preferably under controlled conditions such as public data (reproduci…
Lessons learned developing and using a machine learning model to automatically transcribe 2.3 million handwritten occupation codes
Bjørn-Richard Pedersen, Einar Holsbø, Trygve Andersen +4
Machine learning approaches achieve high accuracy for text recognition and are therefore increasingly used for the transcription of handwritten historical sources. However, using m…
Interactive exploration of population scale pharmacoepidemiology datasets
Tengel Ekrem Skar, Einar Holsbø, Kristian Svendsen +1
Population-scale drug prescription data linked with adverse drug reaction (ADR) data supports the fitting of models large enough to detect drug use and ADR patterns that are not de…
Convolutional neural network for breathing phase detection in lung sounds
Cristina Jácome, Johan Ravn, Einar Holsbø +3
We applied deep learning to create an algorithm for breathing phase detection in lung sound recordings, and we compared the breathing phases detected by the algorithm and manually…
Shrinkage estimation of rate statistics
Einar Holsbø, Vittorio Perduca
This paper presents a simple shrinkage estimator of rates based on Bayesian methods. Our focus is on crime rates as a motivating example. The estimator shrinks each town's observed…