Global Diffusion of the Internet III: Information Diffusion Agents and the Spread of Internet Cafés in Indonesia. - Fathul Wahid; Bjørn Furuholt; Stein Kristiansen (Commun. Assoc. Inf. Syst., 2004)

Information dissemination in a developing society: Internet café users in Indonesia. - Bjørn Furuholt; Stein Kristiansen; Fathul Wahid (Electron. J. Inf. Syst. Dev. Ctries., 2005)

A Rural-Urban Digital Divide?: Regional Aspects of Internet Use in Tanzania. - Bjørn Furuholt; Stein Kristiansen (Electron. J. Inf. Syst. Dev. Ctries., 2007)

Internet Cafés in Asia and Africa - Venues for Education and Learning? - Bjørn Furuholt; Stein Kristiansen (J. Community Informatics, 2007)

ns-2 distributed clients emulation: accuracy and scalability. - Stein Kristiansen; Thomas Plagemann (SimuTools, 2009)

On the forwarding capability of mobile handhelds for video streaming over MANETs. - Stein Kristiansen; Morten Lindeberg; Daniel Rodríguez-Fernández; Thomas Plagemann (MobiHeld, 2010)

MAC Layer Support for Delay Tolerant Video Transport in Disruptive MANETs. - Morten Lindeberg; Stein Kristiansen; Vera Goebel; Thomas Plagemann (Networking (1), 2011)

Towards scalable and realistic node models for network simulators. - Stein Kristiansen; Thomas Plagemann; Vera Goebel (SIGCOMM, 2011)

Challenges and techniques for video streaming over mobile ad hoc networks. - Morten Lindeberg; Stein Kristiansen; Thomas Plagemann; Vera Goebel (Multim. Syst., 2011)

Accuracy and scalability of ns-2's distributed emulation extension. - Stein Kristiansen; Thomas Plagemann (Simul., 2011)

Extending network simulators with communication software execution models. - Stein Kristiansen; Thomas Plagemann; Vera Goebel (COMSNETS, 2013)

Modeling communication software execution for accurate simulation of distributed systems. - Stein Kristiansen; Thomas Plagemann; Vera Goebel (SIGSIM-PADS, 2013)

A Methodology to Model the Execution of Communication Software for Accurate Network Simulation. - Stein Kristiansen; Thomas Plagemann; Vera Goebel (ACM Trans. Model. Comput. Simul., 2015)

Smooth and crispy: integrating continuous event proximity calculation and discrete event detection. - Stein Kristiansen; Thomas Plagemann; Vera Goebel (DEBS, 2016)

DCEP-Sim: An Open Simulation Framework for Distributed CEP. - Fabrice Starks; Thomas Peter Plagemann; Stein Kristiansen (DEBS, 2017)

DCEP-Sim: An Open Simulation Framework for Distributed CEP: Introduction for Users and Prospective Developers. - Fabrice Starks; Stein Kristiansen; Thomas Plagemann (DEBS, 2018)

Data Mining for Patient Friendly Apnea Detection. - Stein Kristiansen; Mari Sonsteby Hugaas; Vera Goebel; Thomas Plagemann; Konstantinos Nikolaidis; Knut Liestøl (IEEE Access, 2018)

An Activity Rule Based Approach to Simulate ADL Sequences. - Stein Kristiansen; Thomas Peter Plagemann; Vera Goebel (IEEE Access, 2018)

Mobile Distributed Complex Event Processing - Ubi Sumus? Quo Vadimus? - Fabrice Starks; Vera Goebel; Stein Kristiansen; Thomas Plagemann (Mobile Big Data, 2018)

Modeling the Sofware Execution of CEP in DCEP-Sim. - Espen Volnes; Stein Kristiansen; Thomas Plagemann; Vera Goebel; Morten Lindeberg (DEBS, 2019)

Many Cores and Still Delays: Simulating Multi-Core Communication Software Execution. - Øystein Dale; Stein Kristiansen; Thomas Peter Plagemann; Espen Volnes (ICCMS, 2019)

Communication Software Execution Model of a WSN Device for More Accurate Simulation in ns-3. - Espen Volnes; Stein Kristiansen; Thomas Peter Plagemann (ICCMS, 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 (ECML/PKDD (3), 2019)

Learning from Higher-Layer Feature Visualizations. - Konstantinos Nikolaidis; Stein Kristiansen; Vera Goebel; Thomas Plagemann (CoRR, 2019)

EXPOSE: Experimental Performance Evaluation of Stream Processing Engines Made Easy. - Espen Volnes; Thomas Plagemann; Vera Goebel; Stein Kristiansen (TPCTC, 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)

Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise. - Konstantinos Nikolaidis; Thomas Plagemann; Stein Kristiansen; Vera Goebel; Mohan S. Kankanhalli (CoRR, 2020)

Evaluating a Low-Cost Strain Gauge Breathing Sensor for Sleep Apnea Detection at Home. - Stein Kristiansen; Morten Hamborg Andersen; Vera Goebel; Thomas Plagemann; Gunn Marit Traaen; Britt Øverland; Harriet Akre; Lars Gullestad (ICC Workshops, 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)

Improving the accuracy of timing in scalable WSN simulations with communication software execution models. - Espen Volnes; Stein Kristiansen; Thomas Plagemann (Comput. Networks, 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; et al. (CoRR, 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; et al. (ACM Trans. Comput. Heal., 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)

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 (IJCAI, 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)

A scalable semantic framework for IoT healthcare applications. - Rita Zgheib; Stein Kristiansen; Emmanuel Conchon; Thomas Plagemann; Vera Goebel; Rémi Bastide (J. Ambient Intell. Humaniz. Comput., 2023)