J
James Bailey
Researcher at University of Melbourne
Publications - 394
Citations - 13628
James Bailey is an academic researcher from University of Melbourne. The author has contributed to research in topics: Cluster analysis & Computer science. The author has an hindex of 46, co-authored 377 publications receiving 10283 citations. Previous affiliations of James Bailey include University of London & Simon Fraser University.
Papers
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Book ChapterDOI
Distribution based data filtering for financial time series forecasting
Goce Ristanoski,James Bailey +1 more
TL;DR: This work examines the use of an alternative data pre-processing approach, whereby knowledge of distribution changes is used to pre-filter the training dataset, and indicates that this simple and efficient technique can produce effective results and obtain improvements in prediction accuracy when used in conjunction with a range of forecasting techniques.
Journal ArticleDOI
Moments of Confusion in Simulation-Based Learning Environments
TL;DR: In this article, the possible moments of confusion in a simulation-based predict-observe-explain (POE) environment were investigated and it was found that POE environments can offer a level of difficulty that potentially triggers some confusion, and a likely moment of students' confusion was the observe task.
Posted Content
A Framework to Adjust Dependency Measure Estimates for Chance
TL;DR: This paper proposes a framework to adjust dependency measure estimates on finite samples and demonstrates that this approach enhances the interpretability of MIC when used as a proxy for the amount of noise between variables, and to gain accuracy when ranking variables during the splitting procedure in random forests.
Journal Article
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space
TL;DR: In this article, a method was proposed to visualize and understand the class-wise patterns learned by DNNs trained under three different settings including natural, backdoored and adversarial.