activity
20182023
most citedChallenges in Annotation of useR Data for UbiquitOUs Systems: Results from the 1st ARDUOUS Workshop

14 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2023★ 6 cited

Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting

Ferdian Jovan, Catherine Morgan, Ryan McConville +3

Parkinson's disease (PD) is a slowly progressive, debilitating neurodegenerative disease which causes motor symptoms including gait dysfunction. Motor fluctuations are alterations…

cs.LG2023

When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations

Taku Yamagata, Emma L. Tonkin, Benjamin Arana Sanchez +5

In supervised learning, low quality annotations lead to poorly performing classification and detection models, while also rendering evaluation unreliable. This is particularly appa…

cs.LG2019

HyperStream: a Workflow Engine for Streaming Data

Tom Diethe, Meelis Kull, Niall Twomey +5

This paper describes HyperStream, a large-scale, flexible and robust software package, written in the Python language, for processing streaming data with workflow creation capabili…

cs.OH2018★ 2 cited

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…

cs.CY2018★ 14 cited

Challenges in Annotation of useR Data for UbiquitOUs Systems: Results from the 1st ARDUOUS Workshop

Kristina Yordanova, Adeline Paiement, Max Schröder +5

Labelling user data is a central part of the design and evaluation of pervasive systems that aim to support the user through situation-aware reasoning. It is essential both in desi…