Edinburgh Napier University

research

∙ 03/26/2019

Photo-Realistic Facial Details Synthesis from Single Immage

We present a single-image 3D face synthesis technique that can handle ch...

Anpei Chen, et al. ∙

research

∙ 09/23/2019

CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement

Noisy situations cause huge problems for suffers of hearing loss as hear...

Mandar Gogate, et al. ∙

research

∙ 12/05/2019

Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning

Several imaging applications (vessels, retina, plant roots, road network...

Hao Chen, et al. ∙

research

∙ 12/16/2021

Towards Robust Real-time Audio-Visual Speech Enhancement

The human brain contextually exploits heterogeneous sensory information ...

Mandar Gogate, et al. ∙

research

∙ 02/11/2022

A Novel Speech Intelligibility Enhancement Model based on CanonicalCorrelation and Deep Learning

Current deep learning (DL) based approaches to speech intelligibility en...

Tassadaq Hussain, et al. ∙

research

∙ 01/30/2022

Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers

Using Neuroevolution combined with Novelty Search to promote behavioural...

Rui P. Cardoso, et al. ∙

research

∙ 08/18/2017

Security, Privacy and Safety Evaluation of Dynamic and Static Fleets of Drones

Inter-connected objects, either via public or private networks are the n...

Raja Naeem Akram, et al. ∙

research

∙ 06/10/2016

Natural Language Generation enhances human decision-making with uncertain information

Decision-making is often dependent on uncertain data, e.g. data associat...

Dimitra Gkatzia, et al. ∙

research

∙ 02/28/2005

Property analysis of symmetric travelling salesman problem instances acquired through evolution

We show how an evolutionary algorithm can successfully be used to evolve...

J. I. van Hemert, et al. ∙

research

∙ 10/26/2016

Content Selection in Data-to-Text Systems: A Survey

Data-to-text systems are powerful in generating reports from data automa...

Dimitra Gkatzia, et al. ∙

research

∙ 04/20/2018

Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm

The presence of functional diversity within a group has been demonstrate...

Emma Hart, et al. ∙

research

∙ 05/29/2018

Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites

Workforce Scheduling and Routing Problems (WSRP) are very common in many...

Neil Urquhart, et al. ∙

research

∙ 07/24/2019

Privacy Parameter Variation Using RAPPOR on a Malware Dataset

Stricter data protection regulations and the poor application of privacy...

Peter Aaby, et al. ∙

research

∙ 07/24/2019

Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier

Insider threats continue to present a major challenge for the informatio...

Adam James Hall, et al. ∙

research

∙ 07/29/2019

The Challenges of Investigating Cryptocurrencies and Blockchain Related Crime

We increasingly live in a world where there is a balance between the rig...

Simon Dyson, et al. ∙

research

∙ 09/30/2019

AV Speech Enhancement Challenge using a Real Noisy Corpus

This paper presents, a first of its kind, audio-visual (AV) speech enhac...

Mandar Gogate, et al. ∙

research

∙ 01/22/2020

An authentication protocol based on chaos and zero knowledge proof

Port Knocking is a method for authenticating clients through a closed st...

Will Major, et al. ∙

research

∙ 05/03/2020

Improving Aspect-Level Sentiment Analysis with Aspect Extraction

Aspect-based sentiment analysis (ABSA), a popular research area in NLP h...

Navonil Majumder, et al. ∙

research

∙ 05/13/2020

Phishing URL Detection Through Top-level Domain Analysis: A Descriptive Approach

Phishing is considered to be one of the most prevalent cyber-attacks bec...

Orestis Christou, et al. ∙

research

∙ 05/20/2020

BeepTrace: Blockchain-enabled Privacy-preserving Contact Tracing for COVID-19 Pandemic and Beyond

The outbreak of COVID-19 pandemic has exposed an urgent need for effecti...

Hao Xu, et al. ∙

research

∙ 06/02/2020

Towards Identifying Human Actions, Intent, and Severity of APT Attacks Applying Deception Techniques – An Experiment

Attacks by Advanced Persistent Threats (APTs) have been shown to be diff...

Joel Chacon, et al. ∙

research

∙ 06/03/2020

A Distributed Trust Framework for Privacy-Preserving Machine Learning

When training a machine learning model, it is standard procedure for the...

Will Abramson, et al. ∙

research

∙ 06/01/2020

Fast Probabilistic Consensus with Weighted Votes

The fast probabilistic consensus (FPC) is a voting consensus protocol th...

Sebastian Müller, et al. ∙

research

∙ 06/26/2020

Trust-by-Design: Evaluating Issues and Perceptions within Clinical Passporting

A substantial administrative burden is placed on healthcare professional...

Will Abramson, et al. ∙

research

∙ 07/22/2020

When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games

The actions of intelligent agents, such as chatbots, recommender systems...

The Anh Han, et al. ∙

research

∙ 03/30/2021

COVID-19 UK Social Media Dataset for Public Health Research: Methodology for Collection and Processing

We present a benchmark database of public social media postings from the...

Richard Plant, et al. ∙

research

∙ 04/01/2021

PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN

We introduce PyVertical, a framework supporting vertical federated learn...

Daniele Romanini, et al. ∙

research

∙ 07/04/2021

Generalisation in Neural Networks Does not Require Feature Overlap

That shared features between train and test data are required for genera...

Jeff Mitchell, et al. ∙

research

∙ 09/17/2021

Developing Visualisations to Enhance an Insider Threat Product: A Case Study

This paper describes the process of developing data visualisations to en...

Martin Graham, et al. ∙

research

∙ 11/18/2021

Towards Intelligibility-Oriented Audio-Visual Speech Enhancement

Existing deep learning (DL) based speech enhancement approaches are gene...

Tassadaq Hussain, et al. ∙

research

∙ 12/22/2021

Electromagnetic Side-Channel Attack Resilience against PRESENT Lightweight Block Cipher

Lightweight cryptography is a novel diversion from conventional cryptogr...

Nilupulee A. Gunathilake, et al. ∙

research

∙ 02/07/2022

Ransomware: Analysing the Impact on Windows Active Directory Domain Services

Ransomware has become an increasingly popular type of malware across the...

Grant McDonald, et al. ∙

research

∙ 02/08/2022

A Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning for Hearing-Assistive Technologies

Current deep learning (DL) based approaches to speech intelligibility en...

Tassadaq Hussain, et al. ∙

research

∙ 02/11/2022

A Novel Chaos-based Light-weight Image Encryption Scheme for Multi-modal Hearing Aids

Multimodal hearing aids (HAs) aim to deliver more intelligible audio in ...

Awais Aziz Shah, et al. ∙

Edinburgh Napier University

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