Stein Kristiansen

38 papers A* 2B 1Misc 1Journal 21Unranked 12

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	A scalable semantic framework for IoT healthcare applications. J. Ambient Intell. Humaniz. Comput. Rita Zgheib, Stein Kristiansen, Emmanuel Conchon, Thomas Plagemann, Vera Goebel, Rémi Bastide
2022	A*	`conf`	Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization (Extended Abstract). IJCAI Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn
2022	J	`jnl`	My Health Sensor, My Classifier - Adapting a Trained Classifier to Unlabeled End-User Data. ACM Trans. Comput. Heal. Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn
2021	J	`jnl`	A Clinical Evaluation of a Low-Cost Strain Gauge Respiration Belt and Machine Learning to Detect Sleep Apnea. CoRR 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
2021	—	`conf`	Evaluating a Low-Cost Strain Gauge Breathing Sensor for Sleep Apnea Detection at Home. ICC Workshops Stein Kristiansen, Morten Hamborg Andersen, Vera Goebel, Thomas Plagemann, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Gullestad
2021	J	`jnl`	Improving the accuracy of timing in scalable WSN simulations with communication software execution models. Comput. Networks Espen Volnes, Stein Kristiansen, Thomas Plagemann
2021	J	`jnl`	Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization. J. Artif. Intell. Res. Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn
2021	J	`jnl`	Machine Learning for Sleep Apnea Detection with Unattended Sleep Monitoring at Home. ACM Trans. Comput. Heal. 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
2021	J	`jnl`	Using Under-Trained Deep Ensembles to Learn Under Extreme Label Noise: A Case Study for Sleep Apnea Detection. IEEE Access Konstantinos Nikolaidis, Thomas Plagemann, Stein Kristiansen, Vera Goebel, Mohan S. Kankanhalli
2020	—	`conf`	EXPOSE: Experimental Performance Evaluation of Stream Processing Engines Made Easy. TPCTC Espen Volnes, Thomas Plagemann, Vera Goebel, Stein Kristiansen
2020	J	`jnl`	Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization. CoRR Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn
2020	J	`jnl`	My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data. CoRR Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn
2020	J	`jnl`	Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise. CoRR Konstantinos Nikolaidis, Thomas Plagemann, Stein Kristiansen, Vera Goebel, Mohan S. Kankanhalli
2019	—	`conf`	Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection. ECML/PKDD (3) Konstantinos Nikolaidis, Stein Kristiansen, Vera Goebel, Thomas Plagemann, Knut Liestøl, Mohan S. Kankanhalli
2019	J	`jnl`	Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection. CoRR Konstantinos Nikolaidis, Stein Kristiansen, Vera Goebel, Thomas Plagemann, Knut Liestøl, Mohan S. Kankanhalli
2019	—	`conf`	Communication Software Execution Model of a WSN Device for More Accurate Simulation in ns-3. ICCMS Espen Volnes, Stein Kristiansen, Thomas Peter Plagemann
2019	J	`jnl`	Learning from Higher-Layer Feature Visualizations. CoRR Konstantinos Nikolaidis, Stein Kristiansen, Vera Goebel, Thomas Plagemann
2019	—	`conf`	Many Cores and Still Delays: Simulating Multi-Core Communication Software Execution. ICCMS Øystein Dale, Stein Kristiansen, Thomas Peter Plagemann, Espen Volnes
2019	—	`conf`	Modeling the Sofware Execution of CEP in DCEP-Sim. DEBS Espen Volnes, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Morten Lindeberg
2018	J	`jnl`	An Activity Rule Based Approach to Simulate ADL Sequences. IEEE Access Stein Kristiansen, Thomas Peter Plagemann, Vera Goebel
2018	—	`conf`	DCEP-Sim: An Open Simulation Framework for Distributed CEP: Introduction for Users and Prospective Developers. DEBS Fabrice Starks, Stein Kristiansen, Thomas Plagemann
2018	J	`jnl`	Data Mining for Patient Friendly Apnea Detection. IEEE Access Stein Kristiansen, Mari Sonsteby Hugaas, Vera Goebel, Thomas Plagemann, Konstantinos Nikolaidis, Knut Liestøl
2018	—	`ch.`	Mobile Distributed Complex Event Processing - Ubi Sumus? Quo Vadimus? Mobile Big Data Fabrice Starks, Vera Goebel, Stein Kristiansen, Thomas Plagemann
2017	—	`conf`	DCEP-Sim: An Open Simulation Framework for Distributed CEP. DEBS Fabrice Starks, Thomas Peter Plagemann, Stein Kristiansen
2016	—	`conf`	Smooth and crispy: integrating continuous event proximity calculation and discrete event detection. DEBS Stein Kristiansen, Thomas Plagemann, Vera Goebel
2015	J	`jnl`	A Methodology to Model the Execution of Communication Software for Accurate Network Simulation. ACM Trans. Model. Comput. Simul. Stein Kristiansen, Thomas Plagemann, Vera Goebel
2013	Misc	`conf`	Extending network simulators with communication software execution models. COMSNETS Stein Kristiansen, Thomas Plagemann, Vera Goebel
2013	—	`conf`	Modeling communication software execution for accurate simulation of distributed systems. SIGSIM-PADS Stein Kristiansen, Thomas Plagemann, Vera Goebel
2011	J	`jnl`	Accuracy and scalability of ns-2's distributed emulation extension. Simul. Stein Kristiansen, Thomas Plagemann
2011	J	`jnl`	Challenges and techniques for video streaming over mobile ad hoc networks. Multim. Syst. Morten Lindeberg, Stein Kristiansen, Thomas Plagemann, Vera Goebel
2011	B	`conf`	MAC Layer Support for Delay Tolerant Video Transport in Disruptive MANETs. Networking (1) Morten Lindeberg, Stein Kristiansen, Vera Goebel, Thomas Plagemann
2011	A*	`conf`	Towards scalable and realistic node models for network simulators. SIGCOMM Stein Kristiansen, Thomas Plagemann, Vera Goebel
2010	—	`conf`	On the forwarding capability of mobile handhelds for video streaming over MANETs. MobiHeld Stein Kristiansen, Morten Lindeberg, Daniel Rodríguez-Fernández, Thomas Plagemann
2009	—	`conf`	ns-2 distributed clients emulation: accuracy and scalability. SimuTools Stein Kristiansen, Thomas Plagemann
2007	J	`jnl`	A Rural-Urban Digital Divide?: Regional Aspects of Internet Use in Tanzania. Electron. J. Inf. Syst. Dev. Ctries. Bjørn Furuholt, Stein Kristiansen
2007	J	`jnl`	Internet Cafés in Asia and Africa - Venues for Education and Learning? J. Community Informatics Bjørn Furuholt, Stein Kristiansen
2005	J	`jnl`	Information dissemination in a developing society: Internet café users in Indonesia. Electron. J. Inf. Syst. Dev. Ctries. Bjørn Furuholt, Stein Kristiansen, Fathul Wahid
2004	J	`jnl`	Global Diffusion of the Internet III: Information Diffusion Agents and the Spread of Internet Cafés in Indonesia. Commun. Assoc. Inf. Syst. Fathul Wahid, Bjørn Furuholt, Stein Kristiansen