5 citations · 5 across the 3 of their papers we have counts for
3 papers
Aligned Multi-Task Gaussian Process
Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne +3
Multi-task learning requires accurate identification of the correlations between tasks. In real-world time-series, tasks are rarely perfectly temporally aligned; traditional multi-…
Bayesian nonparametric shared multi-sequence time series segmentation
Olga Mikheeva, Ieva Kazlauskaite, Hedvig Kjellström +1
In this paper, we introduce a method for segmenting time series data using tools from Bayesian nonparametrics. We consider the task of temporal segmentation of a set of time series…
Machine Learning and Social Robotics for Detecting Early Signs of Dementia
Patrik Jonell, Joseph Mendelson, Thomas Storskog +12
This paper presents the EACare project, an ambitious multi-disciplinary collaboration with the aim to develop an embodied system, capable of carrying out neuropsychological tests t…