Konstantinos Nikolaidis

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 13

Top Topics

Machine Learning

Pruning Methods

Top Venues

ACM Trans. Comput. Heal.

J. Artif. Intell. Res.

Publications

Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn
My Health Sensor, My Classifier - Adapting a Trained Classifier to Unlabeled End-User Data. ACM Trans. Comput. Heal. 3 (4) (2022)
Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn
Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization (Extended Abstract). IJCAI (2022)
Konstantinos Nikolaidis, Thomas Plagemann, Stein Kristiansen, Vera Goebel, Mohan S. Kankanhalli
Using Under-Trained Deep Ensembles to Learn Under Extreme Label Noise: A Case Study for Sleep Apnea Detection. IEEE Access 9 (2021)
Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn
Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization. J. Artif. Intell. Res. 72 (2021)
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, Lars Gullestad, Harriet Akre
Machine Learning for Sleep Apnea Detection with Unattended Sleep Monitoring at Home. ACM Trans. Comput. Heal. 2 (2) (2021)
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, Lars Gullestad, Harriet Akre
A Clinical Evaluation of a Low-Cost Strain Gauge Respiration Belt and Machine Learning to Detect Sleep Apnea. CoRR (2021)
Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn
Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization. CoRR (2020)
Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn
My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data. CoRR (2020)
Konstantinos Nikolaidis, Thomas Plagemann, Stein Kristiansen, Vera Goebel, Mohan S. Kankanhalli
Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise. CoRR (2020)
Konstantinos Nikolaidis, Stein Kristiansen, Vera Goebel, Thomas Plagemann, Knut Liestøl, Mohan S. Kankanhalli
Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection. ECML/PKDD (3) (2019)
Konstantinos Nikolaidis, Stein Kristiansen, Vera Goebel, Thomas Plagemann, Knut Liestøl, Mohan S. Kankanhalli
Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection. CoRR (2019)
Konstantinos Nikolaidis, Stein Kristiansen, Vera Goebel, Thomas Plagemann
Learning from Higher-Layer Feature Visualizations. CoRR (2019)
Stein Kristiansen, Mari Sonsteby Hugaas, Vera Goebel, Thomas Plagemann, Konstantinos Nikolaidis, Knut Liestøl
Data Mining for Patient Friendly Apnea Detection. IEEE Access 6 (2018)
Konstantinos Nikolaidis, Tingting Mu, John Yannis Goulermas
Prototype reduction based on Direct Weighted Pruning. Pattern Recognit. Lett. 36 (2014)
Konstantinos Nikolaidis, Eduardo Rodriguez-Martinez, John Yannis Goulermas, Q. Henry Wu
Spectral Graph Optimization for Instance Reduction. IEEE Trans. Neural Networks Learn. Syst. 23 (7) (2012)
Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas
Towards collaborative feature extraction for face recognition. Nat. Comput. 11 (3) (2012)
Konstantinos Nikolaidis, John Yannis Goulermas, Q. H. Wu
A class boundary preserving algorithm for data condensation. Pattern Recognit. 44 (3) (2011)
Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas
Collaborative projection pursuit for face recognition. BIC-TA (2010)
Konstantinos Nikolaidis, Eduardo Rodriguez-Martinez, John Yannis Goulermas, Q. H. Wu
Instance Seriation for Prototype Abstraction. BIC-TA (2010)