by Research Team | Aug 8, 2018 | Research Publications
Author(s): Alber, MaximilianBello, IrwanZoph, BarretKindermans, Pieter-JanRamachandran, PrajitLe, Quoc Abstract: The back-propagation algorithm is the cornerstone of deep learning. Despite its importance, few variations of the algorithm have been attempted. This work...
by Research Team | Aug 1, 2018 | Research Publications
Author(s): Toner, John Abstract: Fitness trackers or ‘wearables’ are being used by an ever-increasing number of exercisers to self-monitor their health, wellbeing and fitness. While acknowledging that many users find self-tracking devices to be an important part of...
by Research Team | Jul 30, 2018 | Research Publications
Author(s): Zilu Liang Mario Alberto Chapa Martell Abstract: Consumer sleep tracking devices are known to be inaccurate, but there is a lack of understanding of how user characteristics may affect the accuracy of these devices. This study aims to examine the effect of...
by Research Team | Jul 25, 2018 | Research Publications
Author(s): Lupton, DeborahMaslen, Sarah Abstract: In this article, we draw on findings from an empirical project involving talking to Australian women about their sensory and sensemaking engagements with digital health technologies. Adopting a new feministmaterialist...
by Research Team | Jul 5, 2018 | Research Publications
Author: Deborah Lupton Abstract: Humans have become increasingly datafied with the use of digital technologies that generate information with and about their bodies and everyday lives. The onto-epistemological dimensions of human–data assemblages and their...
by Research Team | Jul 5, 2018 | Research Publications
Author(s): Noah Apthorpe Yan Shvartzshnaider Arunesh Mathur Dillon Reisman Nick Feamster Abstract: The proliferation of Internet of Things (IoT) devices for consumer “smart” homes raises concerns about user privacy. We present a survey method based on the...
