Publications (20)
Marginally Parametrized Spatio-Temporal Models and Stepwise Maximum Likelihood Estimation
Matthew Edwards, Stefano Castruccio, Dorit Hammerling
In order to learn the complex features of large spatio-temporal data, models with large parameter sets are often required. However, estimating a large number of parameters is often…
Automatic User Profiling in Darknet Markets: a Scalability Study
Claudia Peersman, Matthew Edwards, Emma Williams +1
In this study, we investigate the scalability of state-of-the-art user profiling technologies across different online domains. More specifically, this work aims to understand the r…
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan?
Bilwaj Gaonkar, Matthew Edwards, Alex Bui +2
Yes, it can. Data augmentation is perhaps the oldest preprocessing step in computer vision literature. Almost every computer vision model trained on imaging data uses some form of…
Achieving Multi-Port Memory Performance on Single-Port Memory with Coding Techniques
Hardik Jain, Matthew Edwards, Ethan Elenberg +2
Many performance critical systems today must rely on performance enhancements, such as multi-port memories, to keep up with the increasing demand of memory-access capacity. However…
Understanding motivations and characteristics of financially-motivated cybercriminals
Claudia Peersman, Emma Williams, Matthew Edwards +1
Background: Cyber offences, such as hacking, malware creation and distribution, and online fraud, present a substantial threat to organizations attempting to safeguard their data a…
Automatic Scam-Baiting Using ChatGPT
Piyush Bajaj, Matthew Edwards
Automatic scam-baiting is an online fraud countermeasure that involves automated systems responding to online fraudsters in order to waste their time and deplete their resources, d…