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ORCIDKonstantinos Nikolaidis
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2020 – today
- 2022
[j9]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): 48:1-48:24 (2022)- [c4]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: 5762-5766 - 2021
- [j8]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: 45919-45934 (2021) - [j7]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): 14:1-14:25 (2021) - [j6]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: 1163-1214 (2021) - [i6]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 abs/2101.02595 (2021) - 2020
- [i5]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 abs/2009.10007 (2020) - [i4]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 abs/2009.10799 (2020) - [i3]Konstantinos Nikolaidis, Thomas Plagemann, Stein Kristiansen, Vera Goebel, Mohan S. Kankanhalli:
Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise. CoRR abs/2009.11128 (2020)
2010 – 2019
- 2019
- [c3]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: 376-399 - [i2]Konstantinos Nikolaidis, Stein Kristiansen, Vera Goebel, Thomas Plagemann:
Learning from Higher-Layer Feature Visualizations. CoRR abs/1903.02313 (2019) - [i1]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 abs/1905.09068 (2019) - 2018
- [j5]Stein Kristiansen, Mari Sonsteby Hugaas, Vera Goebel, Thomas Plagemann, Konstantinos Nikolaidis, Knut Liestøl:
Data Mining for Patient Friendly Apnea Detection. IEEE Access 6: 74598-74615 (2018) - 2014
- [j4]Konstantinos Nikolaidis, Tingting Mu, John Yannis Goulermas:
Prototype reduction based on Direct Weighted Pruning. Pattern Recognit. Lett. 36: 22-28 (2014) - 2012
- [j3]Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas:
Towards collaborative feature extraction for face recognition. Nat. Comput. 11(3): 395-404 (2012) - [j2]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): 1169-1175 (2012) - 2011
- [j1]Konstantinos Nikolaidis, John Yannis Goulermas, Q. H. Wu:
A class boundary preserving algorithm for data condensation. Pattern Recognit. 44(3): 704-715 (2011) - 2010
- [c2]Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas:
Collaborative projection pursuit for face recognition. BIC-TA 2010: 1346-1350 - [c1]Konstantinos Nikolaidis, Eduardo Rodriguez-Martinez, John Yannis Goulermas, Q. H. Wu:
Instance Seriation for Prototype Abstraction. BIC-TA 2010: 1351-1355
Coauthor Index
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