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ORCIDThomas Plagemann
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Publications
- 2023
[j41]Rita Zgheib
, Stein Kristiansen, Emmanuel Conchon, Thomas Plagemann, Vera Goebel, Rémi Bastide:
A scalable semantic framework for IoT healthcare applications. J. Ambient Intell. Humaniz. Comput. 14(5): 4883-4901 (2023)- 2022
- [j40]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) - [c89]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
- [j39]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) - [j38]Espen Volnes, Stein Kristiansen, Thomas Plagemann:
Improving the accuracy of timing in scalable WSN simulations with communication software execution models. Comput. Networks 188: 107855 (2021) - [j37]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) - [j36]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) - [c88]Stein Kristiansen, Morten Hamborg Andersen, Vera Goebel, Thomas Plagemann, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Gullestad:
Evaluating a Low-Cost Strain Gauge Breathing Sensor for Sleep Apnea Detection at Home. ICC Workshops 2021: 1-6 - [i8]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
- [c87]Espen Volnes, Thomas Plagemann, Vera Goebel, Stein Kristiansen:
EXPOSE: Experimental Performance Evaluation of Stream Processing Engines Made Easy. TPCTC 2020: 18-34 - [i7]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) - [i6]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) - [i5]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) - 2019
- [c86]Espen Volnes, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Morten Lindeberg:
Modeling the Sofware Execution of CEP in DCEP-Sim. DEBS 2019: 244-247 - [c85]Øystein Dale, Stein Kristiansen, Thomas Peter Plagemann, Espen Volnes:
Many Cores and Still Delays: Simulating Multi-Core Communication Software Execution. ICCMS 2019: 171-175 - [c84]Espen Volnes, Stein Kristiansen, Thomas Peter Plagemann:
Communication Software Execution Model of a WSN Device for More Accurate Simulation in ns-3. ICCMS 2019: 184-189 - [c83]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 - [i4]Konstantinos Nikolaidis, Stein Kristiansen, Vera Goebel, Thomas Plagemann:
Learning from Higher-Layer Feature Visualizations. CoRR abs/1903.02313 (2019) - [i3]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
- [j33]Stein Kristiansen, Thomas Peter Plagemann, Vera Goebel:
An Activity Rule Based Approach to Simulate ADL Sequences. IEEE Access 6: 12551-12572 (2018) - [j32]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) - [c82]Fabrice Starks, Stein Kristiansen, Thomas Plagemann:
DCEP-Sim: An Open Simulation Framework for Distributed CEP: Introduction for Users and Prospective Developers. DEBS 2018: 183-186 - [p2]Fabrice Starks, Vera Goebel, Stein Kristiansen, Thomas Plagemann:
Mobile Distributed Complex Event Processing - Ubi Sumus? Quo Vadimus? Mobile Big Data 2018: 147-180 - 2017
- [c80]Fabrice Starks, Thomas Peter Plagemann, Stein Kristiansen:
DCEP-Sim: An Open Simulation Framework for Distributed CEP. DEBS 2017: 180-190 - 2016
- [c79]Stein Kristiansen, Thomas Plagemann, Vera Goebel:
Smooth and crispy: integrating continuous event proximity calculation and discrete event detection. DEBS 2016: 153-160 - 2015
- [j28]Stein Kristiansen, Thomas Plagemann, Vera Goebel:
A Methodology to Model the Execution of Communication Software for Accurate Network Simulation. ACM Trans. Model. Comput. Simul. 26(1): 3:1-3:31 (2015) - 2013
- [c75]Stein Kristiansen, Thomas Plagemann, Vera Goebel:
Extending network simulators with communication software execution models. COMSNETS 2013: 1-10 - [c74]Stein Kristiansen, Thomas Plagemann, Vera Goebel:
Modeling communication software execution for accurate simulation of distributed systems. SIGSIM-PADS 2013: 67-78 - 2011
- [j24]Morten Lindeberg, Stein Kristiansen, Thomas Plagemann, Vera Goebel:
Challenges and techniques for video streaming over mobile ad hoc networks. Multim. Syst. 17(1): 51-82 (2011) - [j23]Stein Kristiansen, Thomas Plagemann:
Accuracy and scalability of ns-2's distributed emulation extension. Simul. 87(1-2): 45-65 (2011) - [c64]Morten Lindeberg, Stein Kristiansen, Vera Goebel, Thomas Plagemann:
MAC Layer Support for Delay Tolerant Video Transport in Disruptive MANETs. Networking (1) 2011: 106-119 - [c61]Stein Kristiansen, Thomas Plagemann, Vera Goebel:
Towards scalable and realistic node models for network simulators. SIGCOMM 2011: 418-419 - 2010
- [c54]Stein Kristiansen, Morten Lindeberg, Daniel Rodríguez-Fernández, Thomas Plagemann:
On the forwarding capability of mobile handhelds for video streaming over MANETs. MobiHeld 2010: 33-38 - 2009
- [c48]Stein Kristiansen, Thomas Plagemann:
ns-2 distributed clients emulation: accuracy and scalability. SimuTools 2009: 1
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