research
∙
08/04/2021
Using Interaction Data to Predict Engagement with Interactive Media
Media is evolving from traditional linear narratives to personalised exp...
share
research
∙
02/16/2021
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation
Data augmentation methods have been shown to be a fundamental technique ...
research
∙
02/13/2021
HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis
Comprehensive benchmarking of clustering algorithms is rendered difficul...
research
∙
10/28/2020
Evaluating data augmentation for financial time series classification
Data augmentation methods in combination with deep neural networks have ...
research
∙
02/28/2019
A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing
The financial crisis of 2008 generated interest in more transparent, rul...
research
∙
11/22/2018
Data Context Informed Data Wrangling
The process of preparing potentially large and complex data sets for fur...
research
∙
05/22/2018
