Backprop Evolution
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...
Exploring the dark-side of fitness trackers: Normalization, objectification and the anaesthetisation of human experience
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...
Not all errors are created equal: Influence of User Characteristics on Measurement Errors of Consumer Wearable Devices for Sleep Tracking
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...
The more-than-human sensorium: Sensory engagements with digital self-tracking technologies
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...
How do data come to matter? Living and becoming with personal data
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...
Discovering Smart Home Internet of Things Privacy Norms Using Contextual Integrity
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 Contextual...
Personal Informatics Systems for Supporting Self-Regulation in Online Learning Environments
Author(s): David García-Solórzano, Eugènia Santamaría, José A. Morán, Germán Cobo, Carlos Monzo Abstract: Personal informatics (PI) systems have emerged as powerful tools for helping people to be aware of their behaviors in diverse domains. Nevertheless, little...
The Matrix Calculus You Need For Deep Learning
Author(s): Parr, TerenceHoward, Jeremy Abstract: This paper is an attempt to explain all the matrix calculus you need in order to understand the training of deep neural networks. We assume no math knowledge beyond what you learned in calculus 1, and provide links to...
Self-Quantification of Body and Health – An Explorative Study of Epistemological Relations to Data Among Self-Tracking Individuals
Author(s): Hagen, NiclasKasperowski, Dick Abstract: The current development of mobile digital technologies creates increasing possibilities forcreating big data and to quantify the self. But what are individual’s relations to these data on theself? In trying to...
Health Wearables: Ensuring Fairness, Preventing Discrimination, and Promoting Equity in an Emerging Internet-of-Things Environment
Author Kathryn Montgomery Jeff Chester Katharina Kopp Abstract Wearable fitness devices have the potential to address some of the most challeng-ing public health problems in the United States. But they also raise serious pri-vacy concerns. The data they collect can be...