Accepted Posters

Here you will find a list of posters that will be presented at the Advances in Data Science 2019 conference.

Adaptive probabilistic principal component analysis (PDF)

'Adaptive probabilistic principal component analysis' by Adam Farooq, Yordan Raykov, Luc Evers and Max Little

Human Behaviour Analysis Through Probabilistic Modelling of GPS data (PDF)

'Human Behaviour Analysis Through Probabilistic Modelling of GPS data' by Yazan Qarout, Yordan Raykov and Max Little

Development of allergic response data through childhood (PDF)

'Development of allergic response data through childhood' by Rebecca Howard, Danielle Belgrave, Panagiotis Papastamoulis, Angela Simpson, Adnan Custovic and Magnus Rattray

Challenges in the aggregation of biomedical datasets and probabilistic approaches to overcome representational heterogeneity (PDF)

'Challenges in the aggregation of biomedical datasets and probabilistic approaches to overcome representational heterogeneity' by Alexia Sampri, Nophar Geifman, Philip Couch and Niels Peek

Probabilistic modelling of gait for remote passive monitoring applications (PDF)

'Probabilistic modelling of gait for remote passive monitoring applications' by Yordan Raykov, Luc Evers, Marjan Farber and Max Little

Uncovering gene-specific branching dynamics with a multiple output branched Gaussian Process (mBGP) (PDF)

'Uncovering gene-specific branching dynamics with a multiple output branched Gaussian Process (mBGP)' by Sumon Ahmed, Alexis Boukouvalas and Magnus Rattray