Outputs (134)

Learning embeddings from free-text triage notes using pretrained transformer models (2022)
Presentation / Conference Contribution

The advent of transformer models has allowed for tremendous progress in the Natural Language Processing (NLP) domain. Pretrained transformers could successfully deliver the state-of-the-art performance in a myriad of NLP tasks. This study presents an... Read More about Learning embeddings from free-text triage notes using pretrained transformer models.

Vision-based approach for autism diagnosis using transfer learning and eye-tracking (2022)
Presentation / Conference Contribution

The potentials of Transfer Learning (TL) have been well-researched in areas such as Computer Vision and Natural Language Processing. This study aims to explore a novel application of TL to detect Autism Spectrum Disorder. We seek to develop an approa... Read More about Vision-based approach for autism diagnosis using transfer learning and eye-tracking.

Modelling interrelationship between diseases with communicating stream x-machines (2022)
Presentation / Conference Contribution

The world is moving towards alternative medicine and behavioural alteration for treating, managing,
and preventing chronical diseases. In the last few decades, diagrammatical models have been extensively used
to describe and understand the behaviou... Read More about Modelling interrelationship between diseases with communicating stream x-machines.

Review of the partially overlapping samples framework: Paired observations and independent observations in two samples (2022)
Journal Article

A frequently asked question in quantitative research is how to compare two samples that include some combination of paired observations and unpaired observations. In our publications and R package, we refer to the scenario as ‘partially overlapping... Read More about Review of the partially overlapping samples framework: Paired observations and independent observations in two samples.

Eye-tracking dataset to support the research on autism spectrum disorder (2022)
Presentation / Conference Contribution

The availability of data is a key enabler for researchers across different disciplines. However, domains, such as healthcare, are still fundamentally challenged by the paucity and imbalance of datasets. Health data could be inaccessible due to a vari... Read More about Eye-tracking dataset to support the research on autism spectrum disorder.

Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities (2022)
Journal Article

The increase in available data from sensors embedded in industrial equipment has led to a recent rise in the use of industrial predictive maintenance. In the aircraft industry, predictive maintenance has become an essential tool for optimizing mainte... Read More about Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities.

Disruptive learning and optimal flow: Game jams in heterotopic affinity space (2022)
Thesis

Game jams are intensive, time-bound videogame-development events where students, professionals, and hobbyists form teams to create games against the clock. Jams are popular, offering accessible, informal learning environments which promote teamwork,... Read More about Disruptive learning and optimal flow: Game jams in heterotopic affinity space.

Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification (2022)
Journal Article

Machine learning is key for automated detection of malicious network activity to ensure that computer networks and organizations are protected against cyber security attacks. Recently, there has been growing interest in the domain of adversarial mach... Read More about Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification.

Reducing false negatives in ransomware detection: A critical evaluation of machine learning algorithms (2022)
Journal Article

Technological achievement and cybercriminal methodology are two parallel growing paths; protocols such as Tor and i2p (designed to offer confidentiality and anonymity) are being utilised to run ransomware companies operating under a Ransomware as a S... Read More about Reducing false negatives in ransomware detection: A critical evaluation of machine learning algorithms.

Electrical potential spiking of Kombucha zoogleal mats: A symbiotic community of bacteria and yeasts (2022)
Journal Article

Background: A kombucha is a sugared tea fermented by a symbiotic community of over 20 species of bacteria and yeasts. The community produces and inhabits cellulosic gelatinous zoogleal mats. Methods: We studied electrical activity of the kombucha mat... Read More about Electrical potential spiking of Kombucha zoogleal mats: A symbiotic community of bacteria and yeasts.