Konstantinos Nikolaidis

According to our database, Konstantinos Nikolaidis authored at least 17 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

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, Lars Gullestad, Harriet Akre

ACM Trans. Comput. Heal., 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, Lars Gullestad, Harriet Akre

CoRR, 2021

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

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

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

2019

Learning from Higher-Layer Feature Visualizations.

Konstantinos Nikolaidis, Stein Kristiansen, Vera Goebel, Thomas Plagemann

CoRR, 2019

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

Data Mining for Patient Friendly Apnea Detection.

Stein Kristiansen, Mari Sonsteby Hugaas, Vera Goebel, Thomas Plagemann, Konstantinos Nikolaidis, Knut Liestøl

IEEE Access, 2018

2014

Prototype reduction based on Direct Weighted Pruning.

Konstantinos Nikolaidis, Tingting Mu, John Yannis Goulermas

Pattern Recognit. Lett., 2014

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

Towards collaborative feature extraction for face recognition.

Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas

Nat. Comput., 2012

2011

A class boundary preserving algorithm for data condensation.

Konstantinos Nikolaidis, John Yannis Goulermas, Q. H. Wu

Pattern Recognit., 2011

2010

Collaborative projection pursuit for face recognition.

Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

Instance Seriation for Prototype Abstraction.

Konstantinos Nikolaidis, Eduardo Rodriguez-Martinez, John Yannis Goulermas, Q. H. Wu

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010