by Research Team | Nov 6, 2018 | Research Publications
Author(s): Urteaga, IñigoMcKillop, MollieLipsky-Gorman, SharonElhadad, Noémie Abstract: We investigate the use of self-tracking data and unsupervised mixed-membership models to phenotype endometriosis. Endometriosis is a systemic, chronic condition of women in...
by Research Team | Nov 6, 2018 | Research Publications
Author(s): Miolane, NinaMathe, JohanDonnat, ClaireJorda, MikaelPennec, Xavier Abstract: We introduce geomstats, a python package that performs computations on manifolds such as hyperspheres, hyperbolic spaces, spaces of symmetric positive definite matrices and Lie...
by Research Team | Nov 4, 2018 | Research Publications
Author(s): Monika Imschloss Jana Lorenz Abstract: Background: Goal setting is among the most common behavioral change techniques employed in contemporary self-tracking apps. For these techniques to be effective, it is relevant to understand how the visual presentation...
by Research Team | Nov 1, 2018 | Research Publications
Author(s): Elizabeth L. Murnane Tara G. Walker Beck Tench Stephen Voida Jaime Snyder Abstract: Personal informatics systems for supporting health largely grew out of a “self”-centric orientation: self-tracking, self-reflection, self-knowledge,...
by Research Team | Oct 25, 2018 | Research Publications
Author(s): MacKay, MatthewVicol, PaulBa, JimmyGrosse, Roger Abstract: Recurrent neural networks (RNNs) provide state-of-the-art performance in processing sequential data but are memory intensive to train, limiting the flexibility of RNN models which can be trained....
