Search Results for author: Sigurd Steinshamn

Found 2 papers, 1 papers with code

My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data

no code implementations22 Sep 2020 Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn

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 to a classifier trained on the source data is provided.

Sleep apnea detection Unsupervised Domain Adaptation

Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization

1 code implementation21 Sep 2020 Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn

We use sleep monitoring data from both an open and a large closed clinical study and evaluate whether (1) end-users can create and successfully use customized classification models for sleep apnea detection, and (2) the identity of participants in the study is protected.

Sleep apnea detection

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