6 citations · 13 across the 5 of their papers we have counts for
5 papers
Conceptually Diverse Base Model Selection for Meta-Learners in Concept Drifting Data Streams
Helen McKay, Nathan Griffiths, Phillip Taylor
Meta-learners and ensembles aim to combine a set of relevant yet diverse base models to improve predictive performance. However, determining an appropriate set of base models is ch…
Explaining reputation assessments
Ingrid Nunes, Phillip Taylor, Lina Barakat +2
Reputation is crucial to enabling human or software agents to select among alternative providers. Although several effective reputation assessment methods exist, they typically dis…
kD-STR: A Method for Spatio-Temporal Data Reduction and Modelling
Liam Steadman, Nathan Griffiths, Stephen Jarvis +3
Analysing and learning from spatio-temporal datasets is an important process in many domains, including transportation, healthcare and meteorology. In particular, data collected by…
The Predictive Context Tree: Predicting Contexts and Interactions
Alasdair Thomason, Nathan Griffiths, Victor Sanchez
With a large proportion of people carrying location-aware smartphones, we have an unprecedented platform from which to understand individuals and predict their future actions. This…
Context Trees: Augmenting Geospatial Trajectories with Context
Alasdair Thomason, Nathan Griffiths, Victor Sanchez
Exposing latent knowledge in geospatial trajectories has the potential to provide a better understanding of the movements of individuals and groups. Motivated by such a desire, thi…