Christian Wagner

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The University of Nottingham ∙ Forschungszentrum Jülich

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Capturing Individuals' Uncertainties–On Establishing the Validity of an Interval-Valued Survey Response Mode

Obtaining quantitative survey responses that are both accurate and infor...
09/16/2020 ∙ by Zack Ellerby, et al. ∙ 0 ∙ share

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A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentation

Deep learning based image segmentation has achieved the state-of-the-art...
04/16/2020 ∙ by Ruizhe Li, et al. ∙ 30 ∙ share

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Autonomous robotic nanofabrication with reinforcement learning

The ability to handle single molecules as effectively as macroscopic bui...
02/27/2020 ∙ by Philipp Leinen, et al. ∙ 9 ∙ share

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Exploring how Component Factors and their Uncertainty Affect Judgements of Risk in Cyber-Security

Subjective judgements from experts provide essential information when as...
09/30/2019 ∙ by Zack Ellerby, et al. ∙ 0 ∙ share

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Measuring Inter-group Agreement on zSlice Based General Type-2 Fuzzy Sets

Recently, there has been much research into modelling of uncertainty in ...
07/09/2019 ∙ by Javier Navarro, et al. ∙ 0 ∙ share

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Agent-Based Simulation Modelling for Reflecting on Consequences of Digital Mental Health

The premise of this working paper is based around agent-based simulation...
02/05/2019 ∙ by Daniel Stroud, et al. ∙ 0 ∙ share

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Measuring Player's Behaviour Change over Time in Public Goods Game

An important issue in public goods game is whether player's behaviour ch...
09/09/2016 ∙ by Polla Fattah, et al. ∙ 0 ∙ share

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Exploring Differences in Interpretation of Words Essential in Medical Expert-Patient Communication

In the context of cancer treatment and surgery, quality of life assessme...
07/21/2016 ∙ by Javier Navarro, et al. ∙ 0 ∙ share

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Applying Interval Type-2 Fuzzy Rule Based Classifiers Through a Cluster-Based Class Representation

Fuzzy Rule-Based Classification Systems (FRBCSs) have the potential to p...
07/21/2016 ∙ by Javier Navarro, et al. ∙ 0 ∙ share

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Optimising Rule-Based Classification in Temporal Data

This study optimises manually derived rule-based expert system classific...
07/20/2016 ∙ by Polla Fattah, et al. ∙ 0 ∙ share

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Analysing Fuzzy Sets Through Combining Measures of Similarity and Distance

Reasoning with fuzzy sets can be achieved through measures such as simil...
09/03/2014 ∙ by Josie McCulloch, et al. ∙ 0 ∙ share

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A Fuzzy Directional Distance Measure

The measure of distance between two fuzzy sets is a fundamental tool wit...
09/03/2014 ∙ by Josie C. McCullochy, et al. ∙ 0 ∙ share

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Measuring the Directional Distance Between Fuzzy Sets

The measure of distance between two fuzzy sets is a fundamental tool wit...
08/23/2013 ∙ by Josie McCulloch, et al. ∙ 0 ∙ share

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Extending Similarity Measures of Interval Type-2 Fuzzy Sets to General Type-2 Fuzzy Sets

Similarity measures provide one of the core tools that enable reasoning ...
08/23/2013 ∙ by Josie McCulloch, et al. ∙ 0 ∙ share

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Evidence Feed Forward Hidden Markov Model: A New Type of Hidden Markov Model

The ability to predict the intentions of people based solely on their vi...
02/04/2011 ∙ by Michael DelRose, et al. ∙ 0 ∙ share

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