79 citations · 89 across the 3 of their papers we have counts for
3 papers
My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data
Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann +8
In this work, we present an approach for unsupervised domain adaptation (DA) with the constraint, that the labeled source data are not directly available, and instead only access t…
Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection
Konstantinos Nikolaidis, Stein Kristiansen, Vera Goebel +3
Supervised machine learning applications in the health domain often face the problem of insufficient training datasets. The quantity of labelled data is small due to privacy concer…
The Genomic HyperBrowser: inferential genomics at the sequence level
Geir K. Sandve, Sveinung Gundersen, Halfdan Rydbeck +11
The immense increase in the generation of genomic scale data poses an unmet analytical challenge, due to a lack of established methodology with the required flexibility and power.…