J
Jarrod Trevathan
Researcher at Griffith University
Publications - 96
Citations - 1040
Jarrod Trevathan is an academic researcher from Griffith University. The author has contributed to research in topics: Common value auction & Bidding. The author has an hindex of 16, co-authored 95 publications receiving 880 citations. Previous affiliations of Jarrod Trevathan include James Cook University.
Papers
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Journal ArticleDOI
Neural Network-based Handwritten Signature Verification
TL;DR: This paper presents a method for verifying handwritten signatures by using a NN architecture that performs reasonably well with an overall error rate of 3:3% being reported for the best case.
Book ChapterDOI
Detecting shill bidding in online English auctions
Jarrod Trevathan,Wayne Read +1 more
TL;DR: In this paper, the authors present an algorithm to detect the presence of shill bidding in online auctions, providing each bidder a score indicating the likelihood of his/her potential involvement in shill behavior.
Proceedings ArticleDOI
Artificial Intelligence in Sports Prediction
Alan McCabe,Jarrod Trevathan +1 more
TL;DR: An expanded model is described, as well as a broadening of the area of application of the original work, which attempts to capture the quality of various sporting teams in a form of multi-layer perceptron.
Journal Article
Neural Network-based Hwritten Signature Verification.
TL;DR: In this paper, a method for verifying handwritten signatures by using a NN architecture is presented, where various static (e.g., height, slant, etc.) and dynamic signature features are extracted and used to train the NN.
Journal ArticleDOI
SEMAT — The Next Generation of Inexpensive Marine Environmental Monitoring and Measurement Systems
Jarrod Trevathan,Ron Johnstone,Tony Chiffings,Ian Atkinson,Neil W. Bergmann,Wayne Read,Susan M. Theiss,Trina Myers,Tom Stevens +8 more
TL;DR: SEMAT is a “smart” wireless sensor network that uses a commodity-based approach for selecting technologies most appropriate to the scientifically driven marine research and monitoring domain/field that allows for significantly cheaper environmental observation systems that cover a larger geographical area and can therefore collect more representative data.