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N. Said, K. Pogorelov, K. Ahmad, M. Riegler, N. Ahmad, O. Ostroukhova, P. Halvorsen and N. Conci

Deep learning approaches for flood classification and flood aftermath detection

In Working Notes Proceedings of the MediaEval 2018 Workshop., 2018.
Proceedings, refereed
2018
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O. Ostroukhova, K. Pogorelov, M. Riegler, D. Dang-Nguyen and P. Halvorsen

Transfer learning with prioritized classification and training dataset equalization for medical objects detection

In Working Notes Proceedings of the MediaEval 2018 Workshop., 2018.
Proceedings, refereed
2018
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K. Ahmad, K. Pogorelov, M. Riegler, N. Conci and P. Halvorsen

Social Media and Satellites. Disaster event detection, linking and summarization

Multimedia Tools and Applications (2018).
Journal Article
2018
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K. Pogorelov, M. Riegler, P. Halvorsen, S. Hicks, K. R. Randel, D. Dang-Nguyen, M. Lux, O. Ostroukhova and T. de Lange

Medico Multimedia Task at MediaEval 2018

In Working Notes Proceedings of the MediaEval 2018 Workshop., 2018.
Proceedings, refereed
2018
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News

LO President Hans-Christian Gabrielsen and Aslak Tveito, Director of Simula (Photo: Simula/Fanny Klang)
17 October 2018

LO visited Simula last week

Among the visitors from LO was the LO President Hans-Christian Gabrielsen. They met with some of the Simula management and a researcher to learn more about what Simula does.
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Projects

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TimeIn: Traffic behaviour of interactive time-dependent thin streams on the modern Internet

Slow internet?

RITE: Reducing Internet Transport Latency

Abstract data strem

Efficient EONS: Execution of Large Workloads on Elastic Heterogeneous Resources

Computers

Unified PCIe IO: Unified PCI Express for Distributed Component Virtualization

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2018

Journal articles

K. Ahmad, K. Pogorelov, M. Riegler, N. Conci and P. Halvorsen

Social Media and Satellites. Disaster event detection, linking and summarization

Multimedia Tools and Applications (2018).
Status: Published
T. de Lange, P. Halvorsen and M. Riegler

Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy

World J Gastroenterol 45, no. 24 (2018): 5057-5062.
Status: Published
S. A. Pettersen, H. D. Johansen, I. A. M. Baptista, P. Halvorsen and D. Johansen

Quantified Soccer Using Positional Data: A Case Study

Frontiers in Physiology 953294310113651042141098 (2018).
Status: Published
M. Soleymani, M. Riegler and P. Halvorsen

Multimodal analysis of user behavior and browsed content under different image search intents

International Journal of Multimedia Information Retrieval 7 (2018): 29-41.
Status: Published

Proceedings, refereed

T. J. D. Berstad, M. Riegler, K. Pogorelov, H. K. Stensland and P. Halvorsen

Tradeoffs using Binary and Multiclass Neural Network Classification for Medical Multidisease Detection

In The 20th IEEE International Symposium on Multimedia (ISM). IEEE, 2018.
Status: Accepted
R. Borgli, P. Halvorsen, M. Riegler and H. K. Stensland

Automatic Hyperparameter Optimization in Keras for the MediaEval 2018 Medico Multimedia Task

In Working Notes Proceedings of the MediaEval 2018 Workshop. CEUR Workshop Proceedings (CEUR-WS.org), 2018.
Status: Accepted
C. Griwodz, L. Calvet and P. Halvorsen

Popsift: a faithful SIFT implementation for real-time applications

In Proceedings of the ACM Multimedia Systems Conference on - MMSys '18. Amsterdam, NetherlandsNew York, New York, USA: ACM Press, 2018.
Status: Published
S. Hicks, K. Pogorelov, M. Lux, M. Jeppsson, K. R. Randel, T. de Lange, S. L. Eskeland, P. Halvorsen and M. Riegler

Comprehensible Reasoning and Automated Reporting of Medical Examinations Based on Deep Learning Analysis

In ACM Multimedia Systems., 2018.
Status: Accepted
S. Hicks, M. Lux, T. de Lange, K. R. Randel, M. Jeppsson, K. Pogorelov, P. Halvorsen and M. Riegler

Mimir: An Automatic Reporting and Reasoning System for Deep Learning based Analysis in the Medical Domain

In ACM Multimedia Systems., 2018.
Status: Accepted
S. Hicks, M. Riegler, K. Pogorelov, T. de Lange, K. R. Randel, K. V. Ånonsen, M. Jeppsson, P. Halvorsen and S. L. Eskeland

Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding

In 31st IEEE CBMS International Symposium on Computer-Based Medical Systems., 2018.
Status: Accepted