162 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Sciences, Philosophie, HistoireFR7 papers
- University of BristolGB7 papers
- Nantes UniversitéFR5 papers
- InsermFR2 papers
- Université de ToursFR2 papers
- Bordeaux Population HealthFR1 paper
- Cabot (United States)US1 paper
- Centre Hospitalier Universitaire de NantesFR1 paper
- Centre Hospitalier Universitaire de ToursFR1 paper
- Laboratoire de Génétique CellulaireFR1 paper
- London School of Hygiene & Tropical MedicineGB1 paper
- Philips (Netherlands)NL1 paper
13 papers
Modeling repeated self-reported outcome data: a continuous-time longitudinal Item Response Theory model
Cécile Proust-Lima, Viviane Philipps, Bastien Perrot +2
Item Response Theory (IRT) models have received growing interest in health science for analyzing latent constructs such as depression, anxiety, quality of life, or cognitive functi…
Early-Dynastic tables from Southern Mesopotamia, or the multiple facets of the quantification of surfaces
Christine Proust
How were surfaces evaluated before the invention of the sexagesimal place value notation in Mesopotamia? This chapter examines a group of five tablets containing tables for surface…
G-computation and doubly robust standardisation for continuous-time data: a comparison with inverse probability weighting
A. Chatton, F. Le Borgne, C. Leyrat +1
In time-to-event settings, g-computation and doubly robust estimators are based on discrete-time data. However, many biological processes are evolving continuously over time. In th…
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Meelis Kull, Miquel Perello-Nieto, Markus Kängsepp +3
Class probabilities predicted by most multiclass classifiers are uncalibrated, often tending towards over-confidence. With neural networks, calibration can be improved by temperatu…
Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks
Michal Kozlowski, Ryan McConville, Raul Santos-Rodriguez +1
As sensor networks for health monitoring become more prevalent, so will the need to control their usage and consumption of energy. This paper presents a method which leverages the…
DeepKey: Towards End-to-End Physical Key Replication From a Single Photograph
Rory Smith, Tilo Burghardt
This paper describes DeepKey, an end-to-end deep neural architecture capable of taking a digital RGB image of an 'everyday' scene containing a pin tumbler key (e.g. lying on a tabl…
Online Heart Rate Prediction using Acceleration from a Wrist Worn Wearable
Ryan McConville, Gareth Archer, Ian Craddock +4
In this paper we study the prediction of heart rate from acceleration using a wrist worn wearable. Although existing photoplethysmography (PPG) heart rate sensors provide reliable…
Non-Parametric Calibration of Probabilistic Regression
Hao Song, Meelis Kull, Peter Flach
The task of calibration is to retrospectively adjust the outputs from a machine learning model to provide better probability estimates on the target variable. While calibration has…
A Guide to the SPHERE 100 Homes Study Dataset
Atis Elsts, Tilo Burghardt, Dallan Byrne +18
The SPHERE project has developed a multi-modal sensor platform for health and behavior monitoring in residential environments. So far, the SPHERE platform has been deployed for dat…
Action Completion: A Temporal Model for Moment Detection
Farnoosh Heidarivincheh, Majid Mirmehdi, Dima Damen
We introduce completion moment detection for actions - the problem of locating the moment of completion, when the action's goal is confidently considered achieved. The paper propos…
Calorie Counter: RGB-Depth Visual Estimation of Energy Expenditure at Home
Lili Tao, Tilo Burghardt, Majid Mirmehdi +6
We present a new framework for vision-based estimation of calorific expenditure from RGB-D data - the first that is validated on physical gas exchange measurements and applied to d…
Sensors for healthcare: Would you want them in your home?
Alison Burrows, Rachel Gooberman-Hill, Ian Craddock +1
This paper describes some of the challenges set within SPHERE, a large-scale Interdisciplinary Research Collaboration that aims to develop sensor systems to monitor people's health…
SPHERE: Meaningful and Inclusive Sensor-Based Home Healthcare
Alison Burrows, Rachel Gooberman-Hill, Ian Craddock +1
Given current demographic and health trends, and their economic implications, home healthcare technology has become a fertile area for research and development. Motivated by the ne…