All Outputs (2058)

Sentence encoding for dialogue act classification (2021)
Journal Article

In this study, we investigate the process of generating single-sentence representations for the purpose of Dialogue Act (DA) classification, including several aspects of text pre-processing and input representation which are often overlooked or under... Read More about Sentence encoding for dialogue act classification.

Arabic semantic similarity approach for farmers’ complaints (2021)
Journal Article

Semantic similarity is applied for many areas in Natural Language Processing, such as information retrieval, text classification, plagiarism detection, and others. Many researchers used semantic similarity for English texts, but few used for Arabic d... Read More about Arabic semantic similarity approach for farmers’ complaints.

Wind power ramp characterisation and forecasting using Numerical Weather Prediction and Machine Learning models (2021)
Presentation / Conference Contribution

North Atlantic air pressure and temperature conditions associated with heavy rainfall in Great Britain (2021)
Journal Article

Severe flooding in the United Kingdom is often linked to the occurrence of heavy rainfall events, which can be characterized by the synoptic scale meteorological conditions over the North Atlantic region. Seasonal heavy rainfall events (summer and wi... Read More about North Atlantic air pressure and temperature conditions associated with heavy rainfall in Great Britain.

Deception in network defences using unpredictability (2021)
Journal Article

In this article, we propose a novel method that aims to improve upon existing moving-target defences by making them unpredictably reactive using probabilistic decision-making. We postulate that unpredictability can improve network defences in two key... Read More about Deception in network defences using unpredictability.

Evolutionary algorithms designing nanoparticle cancer treatments with multiple particle types (2021)
Journal Article

There is a rich history of evolutionary algorithms tackling optimization problems where the most appropriate size of solutions, namely the genome length, is unclear a priori. Here, we investigated the applicability of this methodology on the problem... Read More about Evolutionary algorithms designing nanoparticle cancer treatments with multiple particle types.

Neurocognitive function following out-of-hospital cardiac arrest: A systematic review (2021)
Journal Article

Objectives: The primary aim of this review was to investigate neurocognitive outcomes following out-of-hospital cardiac arrest (OHCA). Specifically, the focus was on identifying the different neurocognitive domains that are assessed, the measures use... Read More about Neurocognitive function following out-of-hospital cardiac arrest: A systematic review.

Mem-fractive properties of mushrooms (2021)
Journal Article

Memristors close the loop for I-V characteristics of the traditional, passive, semi-conductor devices. A memristor is a physical realisation of the material implication and thus is a universal logical element. Memristors are getting particular intere... Read More about Mem-fractive properties of mushrooms.

Adaptive operator selection with reinforcement learning (2021)
Journal Article

Operator selection plays a crucial role in the efficiency of heuristic-based problem solving algorithms, especially, when a pool of operators is used to let algorithms dynamically select operators to produce new candidate solutions. A sequence of sel... Read More about Adaptive operator selection with reinforcement learning.

On predicting sensor readings with sequence modeling and reinforcement learning for energy-efficient IoT applications (2021)
Journal Article

Prediction of sensor readings in event-based Internet-of-Things (IoT) applications is considered. A new approach is proposed, which allows turning off sensors in periods when their readings can be predicted, thus preserving energy that would be consu... Read More about On predicting sensor readings with sequence modeling and reinforcement learning for energy-efficient IoT applications.

Statistical disclosure controls for machine learning models (2021)
Presentation / Conference Contribution

Artificial Intelligence (AI) models are trained on large datasets. Where the training data is sensitive, the data holders need to consider risks posed by access to the training data and risks posed by the models that are released. The first problem c... Read More about Statistical disclosure controls for machine learning models.

Assessing the Role of Gaze Tracking in Optimizing Humans-In-The-Loop Telerobotic Operation Using Multimodal Feedback (2021)
Journal Article

A key challenge in achieving effective robot teleoperation is minimizing teleoperators’ cognitive workload and fatigue. We set out to investigate the extent to which gaze tracking data can reveal how teleoperators interact with a system. In this stud... Read More about Assessing the Role of Gaze Tracking in Optimizing Humans-In-The-Loop Telerobotic Operation Using Multimodal Feedback.

Computer-aided screening of autism spectrum disorder: Eye-tracking study using data visualization and deep learning (2021)
Journal Article

Background: The early diagnosis of autism spectrum disorder (ASD) is highly desirable but remains a challenging task, which requires a set of cognitive tests and hours of clinical examinations. In addition, variations of such symptoms exist, which ca... Read More about Computer-aided screening of autism spectrum disorder: Eye-tracking study using data visualization and deep learning.

Ordinal Logistic Regression as an alternative analysis strategy for the comparison of two independent samples (2021)
Journal Article

The two group between subjects design is pervasive with analyses often performed using the Mann Whitney Rank Sum test or using the Welch variant of the t-test. Using simulation it is shown that a dummy variable ordinal logistic regression (OLR) mode... Read More about Ordinal Logistic Regression as an alternative analysis strategy for the comparison of two independent samples.

Estimation of the two-group pilot sample size with a cautionary note on Browne’s formula (2021)
Journal Article

Using data obtained from a pilot study, Browne (1995) proposed a procedure for estimating the sample size needed for a definitive two-arm randomised controlled trial when the minimal important difference is specified. Simulations confirm these findi... Read More about Estimation of the two-group pilot sample size with a cautionary note on Browne’s formula.

Establishing the informational requirements for modelling open domain dialogue and prototyping a retrieval open domain dialogue system (2021)
Presentation / Conference Contribution

Open domain dialogue systems aim to coherently respond to users over long conversations through multiple conversational turns. Modelling open domain dialogue is challenging as both the syntactic and semantic features of language play a role in respon... Read More about Establishing the informational requirements for modelling open domain dialogue and prototyping a retrieval open domain dialogue system.

Proposing an algorithm for UAVs interoperability: MAVLink to STANAG 4586 for securing communication (2021)
Presentation / Conference Contribution

Recently, the use of unmanned aerial vehicles has become increased rapidly in both civilian and military applications. With the increased popularity and wide range of applications, these systems’ global manufacturer market has also been improved. UAV... Read More about Proposing an algorithm for UAVs interoperability: MAVLink to STANAG 4586 for securing communication.

UNICEF guidance on AI for children: Application to the design of a social robot for and with autistic children (2021)
Presentation / Conference Contribution

For a period of three weeks in June 2021, we embedded a social robot (Softbank Pepper) in a Special Educational Needs (SEN) school, with a focus on supporting the well-being of autistic children. Our methodology to design and embed the robot among th... Read More about UNICEF guidance on AI for children: Application to the design of a social robot for and with autistic children.

Moving Hues (Revised Version) (2021)
Other

Moving Hues was written in 2011 as a farewell gift for conductor Huw Gareth Williams, and the original orchestration was that of Brahms’s Fourth Symphony. All the material contained within the piece is, in some way, derived from the letters of Huw’s... Read More about Moving Hues (Revised Version).

Application of a solid-phase microextraction-gas chromatography-mass spectrometry/metal oxide sensor system for detection of antibiotic susceptibility in urinary tract infection-causing Escherichia coli – A proof of principle study (2021)
Journal Article

Purpose: Antibiotic resistance is widespread throughout the world and represents a serious health concern. There is an urgent need for the development of novel tools for rapidly distinguishing antibiotic resistant bacteria from susceptible strains. P... Read More about Application of a solid-phase microextraction-gas chromatography-mass spectrometry/metal oxide sensor system for detection of antibiotic susceptibility in urinary tract infection-causing Escherichia coli – A proof of principle study.