Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization. - Konstantinos Nikolaidis; Stein Kristiansen; Thomas Plagemann; Vera Goebel; Knut Liestøl; Mohan S. Kankanhalli; Gunn Marit Traaen; Britt Øverland; Harriet Akre; Lars Aakerøy; Sigurd Steinshamn (CoRR, 2020)

A Clinical Evaluation of a Low-Cost Strain Gauge Respiration Belt and Machine Learning to Detect Sleep Apnea. - Stein Kristiansen; Konstantinos Nikolaidis; Thomas Plagemann; Vera Goebel; Gunn Marit Traaen; Britt Øverland; Lars Aakerøy; Tove-Elizabeth Hunt; Jan Pål Loennechen; Sigurd Loe Steinshamn; Christina Holt Bendz; Ole-Gunnar Anfinsen; et al. (CoRR, 2021)

Machine Learning for Sleep Apnea Detection with Unattended Sleep Monitoring at Home. - Stein Kristiansen; Konstantinos Nikolaidis; Thomas Plagemann; Vera Goebel; Gunn Marit Traaen; Britt Øverland; Lars Aakerøy; Tove-Elizabeth Hunt; Jan Pål Loennechen; Sigurd Loe Steinshamn; Christina Holt Bendz; Ole-Gunnar Anfinsen; et al. (ACM Trans. Comput. Heal., 2021)

Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization. - Konstantinos Nikolaidis; Stein Kristiansen; Thomas Plagemann; Vera Goebel; Knut Liestøl; Mohan S. Kankanhalli; Gunn Marit Traaen; Britt Øverland; Harriet Akre; Lars Aakerøy; Sigurd Steinshamn (J. Artif. Intell. Res., 2021)

Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization (Extended Abstract). - Konstantinos Nikolaidis; Stein Kristiansen; Thomas Plagemann; Vera Goebel; Knut Liestøl; Mohan S. Kankanhalli; Gunn Marit Traaen; Britt Øverland; Harriet Akre; Lars Aakerøy; Sigurd Steinshamn (IJCAI, 2022)

My Health Sensor, My Classifier - Adapting a Trained Classifier to Unlabeled End-User Data. - Konstantinos Nikolaidis; Stein Kristiansen; Thomas Plagemann; Vera Goebel; Knut Liestøl; Mohan S. Kankanhalli; Gunn Marit Traaen; Britt Øverland; Harriet Akre; Lars Aakerøy; Sigurd Steinshamn (ACM Trans. Comput. Heal., 2022)