Instance Seriation for Prototype Abstraction. - Konstantinos Nikolaidis; Eduardo Rodriguez-Martinez; John Yannis Goulermas; Q. H. Wu (BIC-TA, 2010)

Collaborative projection pursuit for face recognition. - Eduardo Rodriguez-Martinez; Konstantinos Nikolaidis; Tingting Mu; Jason F. Ralph; John Yannis Goulermas (BIC-TA, 2010)

A class boundary preserving algorithm for data condensation. - Konstantinos Nikolaidis; John Yannis Goulermas; Q. H. Wu (Pattern Recognit., 2011)

Towards collaborative feature extraction for face recognition. - Eduardo Rodriguez-Martinez; Konstantinos Nikolaidis; Tingting Mu; Jason F. Ralph; John Yannis Goulermas (Nat. Comput., 2012)

Spectral Graph Optimization for Instance Reduction. - Konstantinos Nikolaidis; Eduardo Rodriguez-Martinez; John Yannis Goulermas; Q. Henry Wu (IEEE Trans. Neural Networks Learn. Syst., 2012)

Prototype reduction based on Direct Weighted Pruning. - Konstantinos Nikolaidis; Tingting Mu; John Yannis Goulermas (Pattern Recognit. Lett., 2014)

Data Mining for Patient Friendly Apnea Detection. - Stein Kristiansen; Mari Sonsteby Hugaas; Vera Goebel; Thomas Plagemann; Konstantinos Nikolaidis; Knut Liestøl (IEEE Access, 2018)

Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection. - Konstantinos Nikolaidis; Stein Kristiansen; Vera Goebel; Thomas Plagemann; Knut Liestøl; Mohan S. Kankanhalli (ECML/PKDD (3), 2019)

Learning from Higher-Layer Feature Visualizations. - Konstantinos Nikolaidis; Stein Kristiansen; Vera Goebel; Thomas Plagemann (CoRR, 2019)

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)

Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise. - Konstantinos Nikolaidis; Thomas Plagemann; Stein Kristiansen; Vera Goebel; Mohan S. Kankanhalli (CoRR, 2020)

Using Under-Trained Deep Ensembles to Learn Under Extreme Label Noise: A Case Study for Sleep Apnea Detection. - Konstantinos Nikolaidis; Thomas Plagemann; Stein Kristiansen; Vera Goebel; Mohan S. Kankanhalli (IEEE Access, 2021)

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)