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Most recent publications

M. Lee, J. Lin and E. G. Gran

DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks

Transportation Research Record: Journal of the Transportation Research Board 2675, no. 10 (2021): 211-227.
Journal Article
2021
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M. Lee, J. Lin and E. G. Gran

How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?

In Advanced Information Networking and Applications. Springer International Publishing, 2021.
Proceedings, refereed
2021
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M. Lee, J. Lin and E. G. Gran

SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series

In 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2021.
Proceedings, refereed
2021
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Selected publications

E. G. Gran

Congestion Management in Lossless Interconnection Networks

Faculty of Mathematics and Natural Sciences, University of Oslo, 2014.
PhD Thesis
2014
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E. G. Gran, M. Eimot, S. Reinemo, T. Skeie, O. Lysne, L. P. Huse and G. Shainer

First Experiences With Congestion Control in InfiniBand Hardware

In 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS). IEEE, 2010.
Proceedings, refereed
2010
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E. G. Gran, T. Dreibholz and A. Kvalbein

NorNet Core - A Multi-Homed Research Testbed

Computer Networks Special Issue: Future Internet Testbeds (2014): 75-87.
Journal Article
2014
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E. G. Gran, S. Reinemo, O. Lysne, T. Skeie, E. Zahavi and G. Shainer

Exploring the Scope of the InfiniBand Congestion Control Mechanism

In 2012 IEEE International Symposium on Parallel & Distributed Processing (IPDPS). IEEE Computer Society, 2012.
Proceedings, refereed
2012
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17 June 2020

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2021

Journal articles

M. Lee, J. Lin and E. G. Gran

DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks

Transportation Research Record: Journal of the Transportation Research Board 2675, no. 10 (2021): 211-227.
Status: Published

Proceedings, refereed

M. Lee, J. Lin and E. G. Gran

How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?

In Advanced Information Networking and Applications. Springer International Publishing, 2021.
Status: Published
M. Lee, J. Lin and E. G. Gran

SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series

In 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2021.
Status: Published