26 citations · 34 across the 14 of their papers we have counts for
17 papers
Measuring agreement on linguistic expressions in medical treatment scenarios
J Navrro, C Wagner, Uwe Aickelin +2
Quality of life assessment represents a key process of deciding treatment success and viability. As such, patients' perceptions of their functional status and well-being are import…
Capturing Richer Information -- On Establishing the Validity of an Interval-Valued Survey Response Mode
Zack Ellerby, Christian Wagner, Stephen Broomell
Obtaining quantitative survey responses that are both accurate and informative is crucial to a wide range of fields. Traditional and ubiquitous response formats such as Likert and…
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentation
Ruizhe Li, Dorothee Auer, Christian Wagner +1
Deep learning based image segmentation has achieved the state-of-the-art performance in many medical applications such as lesion quantification, organ detection, etc. However, most…
Measuring Inter-group Agreement on zSlice Based General Type-2 Fuzzy Sets
Javier Navarro, Christian Wagner
Recently, there has been much research into modelling of uncertainty in human perception through Fuzzy Sets (FSs). Most of this research has focused on allowing respondents to expr…
Agent-Based Simulation Modelling for Reflecting on Consequences of Digital Mental Health
Daniel Stroud, Christian Wagner, Peer-Olaf Siebers
The premise of this working paper is based around agent-based simulation models and how to go about creating them from given incomplete information. Agent-based simulations are sto…
Measuring Player's Behaviour Change over Time in Public Goods Game
Polla Fattah, Uwe Aickelin, Christian Wagner
An important issue in public goods game is whether player's behaviour changes over time, and if so, how significant it is. In this game players can be classified into different gro…
Modelling Cyber-Security Experts' Decision Making Processes using Aggregation Operators
Simon Miller, Christian Wagner, Uwe Aickelin +1
An important role carried out by cyber-security experts is the assessment of proposed computer systems, during their design stage. This task is fraught with difficulties and uncert…
Exploring Differences in Interpretation of Words Essential in Medical Expert-Patient Communication
Javier Navarro, Christian Wagner, Uwe Aickelin +2
In the context of cancer treatment and surgery, quality of life assessment is a crucial part of determining treatment success and viability. In order to assess it, patients complet…
Applying Interval Type-2 Fuzzy Rule Based Classifiers Through a Cluster-Based Class Representation
Javier Navarro, Christian Wagner, Uwe Aickelin
Fuzzy Rule-Based Classification Systems (FRBCSs) have the potential to provide so-called interpretable classifiers, i.e. classifiers which can be introspective, understood, validat…
Optimising Rule-Based Classification in Temporal Data
Polla Fattah, Uwe Aickelin, Christian Wagner
This study optimises manually derived rule-based expert system classification of objects according to changes in their properties over time. One of the key challenges that this stu…
Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework
Grazziela P. Figueredo, Christian Wagner, Jonathan M. Garibaldi +1
In this position paper, we present ideas about creating a next generation framework towards an adaptive interface for data communication and visualisation systems. Our objective is…
Comparison of Distance Metrics for Hierarchical Data in Medical Databases
Diman Hassan, Uwe Aickelin, Christian Wagner
Distance metrics are broadly used in different research areas and applications, such as bio-informatics, data mining and many other fields. However, there are some metrics, like pq…
Analysing Fuzzy Sets Through Combining Measures of Similarity and Distance
Josie McCulloch, Christian Wagner, Uwe Aickelin
Reasoning with fuzzy sets can be achieved through measures such as similarity and distance. However, these measures can often give misleading results when considered independently,…
A Fuzzy Directional Distance Measure
Josie C. McCullochy, Chris J. Hinde, Christian Wagner +1
The measure of distance between two fuzzy sets is a fundamental tool within fuzzy set theory, however, distance measures currently within the literature use a crisp value to repres…
Measuring the Directional Distance Between Fuzzy Sets
Josie McCulloch, Christian Wagner, Uwe Aickelin
The measure of distance between two fuzzy sets is a fundamental tool within fuzzy set theory. However, current distance measures within the literature do not account for the direct…
Extending Similarity Measures of Interval Type-2 Fuzzy Sets to General Type-2 Fuzzy Sets
Josie McCulloch, Christian Wagner, Uwe Aickelin
Similarity measures provide one of the core tools that enable reasoning about fuzzy sets. While many types of similarity measures exist for type-1 and interval type-2 fuzzy sets, t…
Creating Personalised Energy Plans. From Groups to Individuals using Fuzzy C Means Clustering
Ian Dent, Christian Wagner, Uwe Aickelin +1
Changes in the UK electricity market mean that domestic users will be required to modify their usage behaviour in order that supplies can be maintained. Clustering allows usage pro…