output
20152018
most citedBayesian uncertainty quantification in linear models for diffusion MRI

21 citations

6 papers

cs.CR2018★ 10 cited

ACE of Spades in the IoT Security Game: A Flexible IPsec Security Profile for Access Control

Santiago Aragon, Marco Tiloca, Max Maass +2

The Authentication and Authorization for Constrained Environments (ACE) framework provides fine-grained access control in the Internet of Things, where devices are resource-constra…

cs.NI2018★ 9 cited

Trust Anchors in Software Defined Networks

Nicolae Paladi, Linus Karlsson, Khalid Elbashir

Advances in software virtualization and network processing lead to increasing network softwarization. Software network elements running on commodity platforms replace or complement…

stat.AP2017★ 21 cited

Bayesian uncertainty quantification in linear models for diffusion MRI

Jens Sjölund, Anders Eklund, Evren Özarslan +3

Diffusion MRI (dMRI) is a valuable tool in the assessment of tissue microstructure. By fitting a model to the dMRI signal it is possible to derive various quantitative features. Se…

cs.AI2016★ 10 cited

Global Constraint Catalog, Volume II, Time-Series Constraints

Ekaterina Arafailova, Nicolas Beldiceanu, Rémi Douence +5

First this report presents a restricted set of finite transducers used to synthesise structural time-series constraints described by means of a multi-layered function composition s…

cs.AI2015★ 1 cited

What is the plausibility of probability?(revised 2003, 2015)

Stefan Arnborg, Gunnar Sjödin

We present and examine a result related to uncertainty reasoning, namely that a certain plausibility space of Cox's type can be uniquely embedded in a minimal ordered field. This,…

cs.IR2015★ 7 cited

Incremental Active Opinion Learning Over a Stream of Opinionated Documents

Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou

Applications that learn from opinionated documents, like tweets or product reviews, face two challenges. First, the opinionated documents constitute an evolving stream, where both…