no code implementations • 18 Mar 2024 • Chao Chen, Christian Wagner, Jonathan M. Garibaldi
Since their introduction, fuzzy sets and systems have become an important area of research known for its versatility in modelling, knowledge representation and reasoning, and increasingly its potential within the context explainable AI.
no code implementations • 20 May 2020 • Zixiao Shen, Xin Chen, Jonathan M. Garibaldi
This paper presents a novel meta learning framework for feature selection (FS) based on fuzzy similarity.
no code implementations • 11 May 2020 • Zixiao Shen, Xin Chen, Jonathan M. Garibaldi
In this paper, we propose a novel weighted combination feature selection method using bootstrap and fuzzy sets.
no code implementations • 11 May 2020 • Zixiao Shen, Xin Chen, Jonathan M. Garibaldi
The optimized framework was also compared with other six classical filter-based feature selection methods.
no code implementations • 4 Jan 2019 • Qing Li, Jiasong Zhu, Rui Cao, Ke Sun, Jonathan M. Garibaldi, Qingquan Li, Bozhi Liu, Guoping Qiu
6DOF camera relocalization is an important component of autonomous driving and navigation.
no code implementations • 30 Aug 2016 • Simon Miller, Christian Wagner, Uwe Aickelin, Jonathan M. Garibaldi
An important role carried out by cyber-security experts is the assessment of proposed computer systems, during their design stage.
no code implementations • 21 Jul 2016 • Jenna Marie Reps, Jonathan M. Garibaldi, Uwe Aickelin, Jack E. Gibson, Richard B. Hubbard
Due to these complexities, existing methods for large-scale detection of negative side effects using observational data all tend to have issues distinguishing between association and causality.
no code implementations • 20 Jul 2016 • Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Amanda Whitbrook, Jonathan M. Garibaldi
Immunosenescence, the ageing of the immune system, is highly correlated to the negative effects of ageing, such as the increase of auto-inflammatory diseases and decrease in responsiveness to new diseases.
no code implementations • 3 Sep 2014 • Alexandros Ladas, Jonathan M. Garibaldi, Rodrigo Scarpel, Uwe Aickelin
Consumer Debt has risen to be an important problem of modern societies, generating a lot of research in order to understand the nature of consumer indebtness, which so far its modelling has been carried out by statistical models.
no code implementations • 3 Sep 2014 • Jenna M. Reps, Uwe Aickelin, Jonathan M. Garibaldi
The results of this research show that the novel framework implementing a multiple classifying system trained using genetic algorithms can obtain a higher partial area under the receiver operating characteristic curve than implementing a single classifier.
no code implementations • 3 Sep 2014 • Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
In this paper we investigate potential attributes that can be used in causal inference to identify side effects based on the Bradford-Hill causality criteria.
no code implementations • 2 Sep 2014 • Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
Drugs are frequently prescribed to patients with the aim of improving each patient's medical state, but an unfortunate consequence of most prescription drugs is the occurrence of undesirable side effects.
no code implementations • 2 Sep 2014 • Jenna M. Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
Conclusion: This research shows that it is possible to exploit the mechanism of causality and presents a framework for signalling adverse drug reactions effectively.
no code implementations • 2 Sep 2014 • Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack Gibson, Richard Hubbard
In this paper we apply four existing electronic healthcare database signal detecting algorithms (MUTARA, HUNT, Temporal Pattern Discovery and modified ROR) on the THIN database for a selection of drugs from six chosen drug families.
no code implementations • 5 Jul 2013 • Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
Longitudinal observational databases have become a recent interest in the post marketing drug surveillance community due to their ability of presenting a new perspective for detecting negative side effects.
no code implementations • 4 Jul 2013 • Naisan Benatar, Uwe Aickelin, Jonathan M. Garibaldi
It has been suggested that, when faced with large amounts of uncertainty in situations of automated control, type-2 fuzzy logic based controllers will out-perform the simpler type-1 varieties due to the latter lacking the flexibility to adapt accordingly.
no code implementations • 4 Jul 2013 • Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
The wealth of computerised medical information becoming readily available presents the opportunity to examine patterns of illnesses, therapies and responses.
no code implementations • 3 Jul 2013 • Jenna Reps, Jan Feyereisl, Jonathan M. Garibaldi, Uwe Aickelin, Jack E. Gibson, Richard B. Hubbard
In this paper, existing methods developed for spontaneous reporting databases are implemented on both a spontaneous reporting database and a general practice electronic health-care database and compared.
no code implementations • 3 Jul 2013 • Naisan Benatar, Uwe Aickelin, Jonathan M. Garibaldi
Type-1 fuzzy logic has frequently been used in control systems.
no code implementations • 31 May 2013 • Amanda Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi
In mobile robotics, a solid test for adaptation is the ability of a control system to function not only in a diverse number of physical environments, but also on a number of different robotic platforms.