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Chapter and Conference Paper
Bayesian Decision Trees Inspired from Evolutionary Algorithms
Bayesian Decision Trees (DTs) are generally considered a more advanced and accurate model than a regular Decision Tree (DT) as they can handle complex and uncertain data. Existing work on Bayesian DTs uses Mar...
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Chapter and Conference Paper
Probabilistic Decision Trees for Predicting 12-Month University Students Likely to Experience Suicidal Ideation
Environmental stressors combined with a predisposition to experience mental health problems increase the risk for SI (Suicidal Ideation) among college/university students. However, university health and wellbe...
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Article
Open AccessA reference set of clinically relevant adverse drug-drug interactions
The accurate and timely detection of adverse drug-drug interactions (DDIs) during the postmarketing phase is an important yet complex task with potentially major clinical implications. The development of data ...
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Article
Open AccessEnsemble Kalman filter based sequential Monte Carlo sampler for sequential Bayesian inference
Many real-world problems require one to estimate parameters of interest, in a Bayesian framework, from data that are collected sequentially in time. Conventional methods for sampling from posterior distributio...
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Chapter and Conference Paper
Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods
Decision Forests have attracted the academic community’s interest mainly due to their simplicity and transparency. This paper proposes two novel decision forest building techniques, called Maximal Information ...
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Chapter and Conference Paper
Early Predictor for Student Success Based on Behavioural and Demographical Indicators
As the largest distance learning university in the UK, the Open University has more than 250,000 students enrolled, making it also the largest academic institute in the UK. However, many students end up failin...
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Article
Open AccessRecommendations for the Use of Social Media in Pharmacovigilance: Lessons from IMI WEB-RADR
Over a period of 3 years, the European Union’s Innovative Medicines Initiative WEB-RADR project has explored the value of social media (i.e., information exchanged through the internet, typically via online so...
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Article
Open AccessRecommendations on the Use of Mobile Applications for the Collection and Communication of Pharmaceutical Product Safety Information: Lessons from IMI WEB-RADR
Over a period of 3 years, the European Union’s Innovative Medicines Initiative WEB-RADR (Recognising Adverse Drug Reactions; https://web-radr.eu/) project ex...
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Article
Open AccessAssessment of the Utility of Social Media for Broad-Ranging Statistical Signal Detection in Pharmacovigilance: Results from the WEB-RADR Project
Social media has been proposed as a possibly useful data source for pharmacovigilance signal detection. This study primarily aimed to evaluate the performance of established statistical signal detection algori...
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Article
Langevin incremental mixture importance sampling
This work proposes a novel method through which local information about the target density can be used to construct an efficient importance sampler. The backbone of the proposed method is the incremental mixtu...
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Article
Open AccessMapReduce particle filtering with exact resampling and deterministic runtime
Particle filtering is a numerical Bayesian technique that has great potential for solving sequential estimation problems involving non-linear and non-Gaussian models. Since the estimation accuracy achieved by ...
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Chapter
An Intersection-Centric Auction-Based Traffic Signal Control Framework
Vehicular traffic on urban road networks is of great interest to those who monitor air quality. Combustion emissions from transport vehicles are a major contributor of air pollution. More specifically, the rel...
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Chapter and Conference Paper
From Goods to Traffic: First Steps Toward an Auction-Based Traffic Signal Controller
Traffic congestion is a major issue that plagues many urban road networks large and small. Traffic engineers are now leaning towards Intelligent Traffic Systems as many types of physical changes to road networ...
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Chapter and Conference Paper
First Steps Toward an Auction-Based Traffic Signal Controller
As the cost of traffic congestion continues to rise traffic engineers have become more inclined to pursue Intelligent Traffic Systems to maximize the capacity of existing road networks. In this paper we demons...
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Article
Smoothing algorithms for state–space models
Two-filter smoothing is a principled approach for performing optimal smoothing in non-linear non-Gaussian state–space models where the smoothing distributions are computed through the combination of ‘forward’ ...
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Article
Joint Tracking of Manoeuvring Targets and Classification of Their Manoeuvrability
Semi-Markov models are a generalisation of Markov models that explicitly model the state-dependent sojourn time distribution, the time for which the system remains in a given state. Markov models result in an ...
