Research Repository

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Using simulation to incorporate dynamic criteria into multiple criteria decision making (2017)
Journal Article
Aickelin, U., Reps, J. M., Siebers, P., & Li, P. (2018). Using simulation to incorporate dynamic criteria into multiple criteria decision making. Journal of the Operational Research Society, 69(7), doi:10.1080/01605682.2017.1410010. ISSN 0160-5682

In this paper we present a case study demonstrating how dynamic and uncertain criteria can be incorporated into a multi-criteria analysis with the help of discrete event simulation. The simulation guided multi-criteria analysis can include both monet... Read More

Fuzzy C-means-based scenario bundling for stochastic service network design (2017)
Conference Proceeding
Jiang, X., Bai, R., Landa-Silva, D., & Aickelin, U. (2017). Fuzzy C-means-based scenario bundling for stochastic service network design

Stochastic service network designs with uncertain demand represented by a set of scenarios can be modelled as a large-scale two-stage stochastic mixed-integer program (SMIP). The progressive hedging algorithm (PHA) is a decomposition method for solvi... Read More

THCluster: herb supplements categorization for precision traditional Chinese medicine (2017)
Conference Proceeding
Ruan, C., Wang, Y., Zhang, Y., Ma, J., Chen, H., Aickelin, U., …Zhang, T. (2017). THCluster: herb supplements categorization for precision traditional Chinese medicine

There has been a continuing demand for traditional and complementary medicine worldwide. A fundamental and important topic in Traditional Chinese Medicine (TCM) is to optimize the prescription and to detect herb regularities from TCM data. In this pa... Read More

Novel similarity measure for interval-valued data based on overlapping ratio (2017)
Conference Proceeding
Kabir, S., Wagner, C., Havens, T. C., Anderson, D. T., & Aickelin, U. (in press). Novel similarity measure for interval-valued data based on overlapping ratio. doi:10.1109/FUZZ-IEEE.2017.8015623

In computing the similarity of intervals, current similarity measures such as the commonly used Jaccard and Dice measures are at times not sensitive to changes in the width of intervals, producing equal similarities for substantially different pairs... Read More

Measuring behavioural change of players in public goods game (2017)
Book
Fattah, P., Aickelin, U., & Wagner, C. (2017). Measuring behavioural change of players in public goods game. In U. Aickelin, P. Fattah, & C. Wagner (Eds.), Measuring Behavioural Change of Players in Public Goods GameSpringer

In the public goods game, players can be classified into different types according to their participation in the game. It is an important issue for economists to be able to measure players’ strategy changes over time which can be considered as concep... Read More

Robust datamining (2017)
Conference Proceeding
Uwe, A. (2017). Robust datamining

Our long-term research goal is to develop datamining methodologies that are robust to changes in data and uncertainty. By robust we mean solutions remain ‘optimal’ when things change or are easily repaired. Broadly, this robustness can be achieved in... Read More

Measuring agreement on linguistic expressions in medical treatment scenarios (2017)
Conference Proceeding
Navarro, J., Wagner, C., Aickelin, U., Green, L., & Ashford, R. (2018). Measuring agreement on linguistic expressions in medical treatment scenarios. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI)doi:10.1109/SSCI.2016.7849895

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 important inputs for impairment assessment. Given that patient completed que... Read More

Modelling cyber-security experts' decision making processes using aggregation operators (2016)
Journal Article
Miller, S., Wagner, C., Aickelin, U., & Garibaldi, J. M. (in press). Modelling cyber-security experts' decision making processes using aggregation operators. Computers and Security, 62, doi:10.1016/j.cose.2016.08.001. ISSN 0167-4048

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 uncertainty, making the knowledge provided by human experts essential for su... Read More

An improved system for sentence-level novelty detection in textual streams (2016)
Conference Proceeding
Fu, X., Ch'ng, E., & Aickelin, U. (in press). An improved system for sentence-level novelty detection in textual streams. doi:10.1049/cp.2015.0250

Novelty detection in news events has long been a difficult problem. A number of models performed well on specific data streams but certain issues are far from being solved, particularly in large data streams from the WWW where unpredictability of new... Read More

Supervised anomaly detection in uncertain pseudoperiodic data streams (2016)
Journal Article
Ma, J., Sun, L., Wang, H., Zhang, Y., & Aickelin, U. (2016). Supervised anomaly detection in uncertain pseudoperiodic data streams. ACM Transactions on Internet Technology, 16(1), doi:10.1145/2806890. ISSN 1533-5399

Uncertain data streams have been widely generated in many Web applications. The uncertainty in data streams makes anomaly detection from sensor data streams far more challenging. In this paper, we present a novel framework that supports anomaly detec... Read More

Applying interval type-2 fuzzy rule based classifiers through a cluster-based class representation (2015)
Conference Proceeding
Navarro, J., Wagner, C., & Aickelin, U. (2015). Applying interval type-2 fuzzy rule based classifiers through a cluster-based class representation

Fuzzy Rule-Based Classification Systems (FRBCSs) have the potential to provide so-called interpretable classifiers, i.e. classifiers which can be introspective, understood, validated and augmented by human experts by relying on fuzzy-set based rules.... Read More

Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining (2015)
Journal Article
Reps, J. M., Aickelin, U., & Hubbard, R. B. (2016). Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining. Computers in Biology and Medicine, 69, doi:10.1016/j.compbiomed.2015.11.014. ISSN 0010-4825

Purpose: To develop a framework for identifying and incorporating candidate confounding interaction terms into a regularised cox regression analysis to refine adverse drug reaction signals obtained via longitudinal observational data. Methods: We co... Read More

A supervised adverse drug reaction signalling framework imitating Bradford Hill’s causality considerations (2015)
Journal Article
Reps, J. M., Garibaldi, J. M., Aickelin, U., Gibson, J. E., & Hubbard, R. B. (2015). A supervised adverse drug reaction signalling framework imitating Bradford Hill’s causality considerations. Journal of Biomedical Informatics, 56, doi:10.1016/j.jbi.2015.06.011

Big longitudinal observational medical data potentially hold a wealth of information and have been recognised as potential sources for gaining new drug safety knowledge. Unfortunately there are many complexities and underlying issues when analysing l... Read More

Identifying candidate risk factors for prescription drug side effects using causal contrast set mining (2015)
Conference Proceeding
Reps, J. M., & Aickelin, U. (2015). Identifying candidate risk factors for prescription drug side effects using causal contrast set mining

Big longitudinal observational databases present the opportunity to extract new knowledge in a cost effective manner. Unfortunately, the ability of these databases to be used for causal inference is limited due to the passive way in which the data ar... Read More

Juxtaposition of system dynamics and agent-based simulation for a case study in immunosenescence (2015)
Journal Article
Figueredo, G. P., Siebers, P., Aickelin, U., Whitbrook, A., & Garibaldi, J. M. (2015). Juxtaposition of system dynamics and agent-based simulation for a case study in immunosenescence. PLoS ONE, 10(3), doi:10.1371/journal.pone.0118359. ISSN 1932-6203

Advances in healthcare and in the quality of life significantly increase human life expectancy. With the aging of populations, new un-faced challenges are brought to science. The human body is naturally selected to be well-functioning until the age o... Read More