All Outputs (123)

Object landmark discovery through unsupervised adaptation (2019)
Journal Article

This paper proposes a method to ease the unsupervised learning of object landmark detectors. Similarly to previous methods, our approach is fully unsupervised in a sense that it does not require or make any use of annotated landmarks for the target o... Read More about Object landmark discovery through unsupervised adaptation.

The Effect of Light Intensity, Sensor Height, and Spectral Pre-Processing Methods When Using NIR Spectroscopy to Identify Different Allergen-Containing Powdered Foods (2019)
Journal Article

Food allergens present a significant health risk to the human population, so their presence must be monitored and controlled within food production environments. This is especially important for powdered food, which can contain nearly all known food... Read More about The Effect of Light Intensity, Sensor Height, and Spectral Pre-Processing Methods When Using NIR Spectroscopy to Identify Different Allergen-Containing Powdered Foods.

The impact of algorithmic decision-making processes on young people’s well-being (Preprint) (2019)
Working Paper

Background: Algorithms rule the online environments and are essential for performing data processing, filtering, personalisation and other tasks. Research has shown that children and young people make up a significant proportion of Internet users, h... Read More about The impact of algorithmic decision-making processes on young people’s well-being (Preprint).

Horizon Response To DCMS Call For Evidence: Cyber Security Incentives and Regulation (2019)
Other

Exploring How Component Factors and Their Uncertainty Affect Judgements of Risk in Cyber-Security (2019)
Conference Proceeding

Subjective judgements from experts provide essential information when assessing and modelling threats in respect to cyber-physical systems. For example, the vulnerability of individual system components can be described using multiple factors, such a... Read More about Exploring How Component Factors and Their Uncertainty Affect Judgements of Risk in Cyber-Security.

Conceptual modelling: Towards detecting modelling errors in engineering applications (2019)
Journal Article

Rapid advancements of modern technologies put high demands on mathematical modelling of engineering systems. Typically, systems are no longer “simple” objects, but rather coupled systems involving multiphysics phenomena, the modelling of which involv... Read More about Conceptual modelling: Towards detecting modelling errors in engineering applications.

Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks (2019)
Conference Proceeding

Functional Near-Infrared Spectroscopy (fNIRS) has shown promise for being potentially more suitable (than e.g. EEG) for brain-based Human Computer Interaction (HCI). While some machine learning approaches have been used in prior HCI work, this paper... Read More about Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks.

A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices (2019)
Journal Article

© 2019, Springer-Verlag GmbH Germany, part of Springer Nature. Portfolio optimization is one of the most important problems in the finance field. The traditional Markowitz mean-variance model is often unrealistic since it relies on the perfect market... Read More about A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices.

End-of-life vehicle management: a comprehensive review (2019)
Journal Article

Waste management is gaining very high importance in recent years. As automotive is one of the most critical sectors worldwide, which is rapidly increasing, the management of end-of-life vehicles (ELVs) gains importance day by day. Due to legislation... Read More about End-of-life vehicle management: a comprehensive review.

Naive Type Theory (2019)
Book Chapter

We introduce Type Theory, including Homotopy Type Theory, as an alternative to set theory as a foundation of Mathematics emphasising the intuitive and naive understanding of its concepts.

Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning (2019)
Conference Proceeding

© 2019, Springer Nature Switzerland AG. Policy making involves an extensive research phase during which existing policies which are similar to the one under development need to be retrieved and analysed. This phase is time-consuming for the following... Read More about Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning.

RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures (2019)
Journal Article

© The Author(s) 2019. Published by Oxford University Press. BACKGROUND: In recent years quantitative analysis of root growth has become increasingly important as a way to explore the influence of abiotic stress such as high temperature and drought on... Read More about RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures.

Editorial of the special issue on differential evolution (2019)
Journal Article

Differential Evolution (DE) is a population-based metaheuristic for addressing optimization problems [[1], [2], [3]]. The algorithm processes a population of candidate solutions by performing two operations. The first operation, namely mutation, is t... Read More about Editorial of the special issue on differential evolution.

Dynamic Facial Models for Video-Based Dimensional Affect Estimation (2019)
Conference Proceeding

Dimensional affect estimation from a face video is a challenging task, mainly due to the large number of possible facial displays made up of a set of behaviour primitives including facial muscle actions. The displays vary not only in composition but... Read More about Dynamic Facial Models for Video-Based Dimensional Affect Estimation.

Shallow Embedding of Type Theory is Morally Correct (2019)
Journal Article

© 2019, Springer Nature Switzerland AG. There are multiple ways to formalise the metatheory of type theory. For some purposes, it is enough to consider specific models of a type theory, but sometimes it is necessary to refer to the syntax, for exampl... Read More about Shallow Embedding of Type Theory is Morally Correct.

Just–In–Time Supply Chain Management Using Interval Type–2 Fuzzy Decision Making (2019)
Conference Proceeding

We propose the application of interval type-2 fuzzy decision making (IT2FDM) to dynamic scheduling of deliveries in a just-in-time logistic process. Delivery decisions are based on order priorities computed from the expected decrease of customer sati... Read More about Just–In–Time Supply Chain Management Using Interval Type–2 Fuzzy Decision Making.

Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation (2019)
Book Chapter

Supervised semantic segmentation normally assumes the test data being in a similar data domain as the training data. However, in practice, the domain mismatch between the training and unseen data could lead to a significant performance drop. Obtainin... Read More about Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation.

Functional Reactive Programming, restated (2019)
Conference Proceeding

Functional Reactive Programming is an approach to declarative programming of reactive systems by describing interactions between time-varying values. FRP implementations are often realised as an embedding in a functional host language, making for ver... Read More about Functional Reactive Programming, restated.

Response To ICO Consultation On The Draft Framework Code Of Practice For The Use Of Personal Data In Political Campaigning (2019)
Other

Horizon is a Research Institute centred at The University of Nottingham and a Research Hub within the UKRI Digital Economy programme. Horizon brings together researchers from a broad range of disciplines to investigate the opportunities and challenge... Read More about Response To ICO Consultation On The Draft Framework Code Of Practice For The Use Of Personal Data In Political Campaigning.

Real-Time Information Security Incident Management: A Case Study Using the IS-CHEC Technique (2019)
Journal Article