Matthew Edwards

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 13

Top Topics

Text Generation

Maximum Likelihood

Countermeasures

Emergency Department

Top Venues

Medical Image Anal.

Publications

Ellie Prosser, Matthew Edwards
Helpful or Harmful? Exploring the Efficacy of Large Language Models for Online Grooming Prevention. CoRR (2024)
Thomas Godfrey, Rahul Batra, Sam Douthwaite, Jonathan D. Edgeworth, Matthew Edwards, Simon Miles, Steffen Zschaler
Supporting Emergency Department Risk Mitigation with a Modular and Reusable Agent-Based Simulation Infrastructure. Modellierung (2024)
Ellie Prosser, Matthew Edwards
Helpful or Harmful? Exploring the Efficacy of Large Language Models for Online Grooming Prevention. EICC (2024)
Thomas Godfrey, Steffen Zschaler, Rahul Batra, Sam Douthwaite, Jonathan D. Edgeworth, Matthew Edwards, Simon Miles
Supporting Emergency Department Risk Mitigation with a Modular and Reusable Agent-Based Simulation Infrastructure. WSC (2023)
Adam Sutton, Almog Simchon, Matthew Edwards, Stephan Lewandowsky
You Are What You Read: Inferring Personality From Consumed Textual Content. WASSA@ACL (2023)
Piyush Bajaj, Matthew Edwards
Automatic Scam-Baiting Using ChatGPT. CoRR (2023)
Harrison Bullock, Matthew Edwards
Temporal Constraints in Online Dating Fraud Classification. ICISSP (2023)
Piyush Bajaj, Matthew Edwards
Automatic Scam-Baiting Using ChatGPT. TrustCom (2023)
Alexander P. Welsh, Matthew Edwards
Text generation for dataset augmentation in security classification tasks. CoRR (2023)
Joshua Clough, Matthew Edwards
Pump, Dump, and then What? The Long-Term Impact of Cryptocurrency Pump-and-Dump Schemes. CoRR (2023)
Wentao Chen, Fuzhou Wang, Matthew Edwards
Active Countermeasures for Email Fraud. CoRR (2022)
Bilwaj Gaonkar, Joel Beckett, Mark Attiah, Christine S. Ahn, Matthew Edwards, Bayard Wilson, Azim Laiwalla, Banafsheh Salehi, Bryan Yoo, Alex A. T. Bui, Luke Macyszyn
Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation. Medical Image Anal. 67 (2021)
Matthew Edwards, Stefano Castruccio, Dorit Hammerling
Marginally parameterized spatio-temporal models and stepwise maximum likelihood estimation. Comput. Stat. Data Anal. 151 (2020)
Matthew Edwards, Aseem Rambani, Yifeng Zhu, Mohamad T. Musavi
Design of Hadoop-based Framework for Analytics of Large Synchrophasor Datasets. Complex Adaptive Systems (2012)
Daniel Richert, Ammar Halabi, Anna Eaglin, Matthew Edwards, Shaowen Bardzell
Arrange-A-Space: tabletop interfaces and gender collaboration. CHI Extended Abstracts (2011)