Zobrazeno 1 - 10
of 418
pro vyhledávání: '"TONKIN, EMMA"'
Autor:
Jovan, Ferdian, Morgan, Catherine, McConville, Ryan, Tonkin, Emma L., Craddock, Ian, Whone, Alan
Publikováno v:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)
Parkinson's disease (PD) is a slowly progressive, debilitating neurodegenerative disease which causes motor symptoms including gait dysfunction. Motor fluctuations are alterations between periods with a positive response to levodopa therapy ("on") an
Externí odkaz:
http://arxiv.org/abs/2308.02419
Autor:
Tonkin, Emma, Jeffs, Lauren, Wycherley, Thomas Philip, Maher, Carol, Smith, Ross, Hart, Jonathon, Cubillo, Beau, Brimblecombe, Julie
Publikováno v:
JMIR mHealth and uHealth, Vol 5, Iss 12, p e192 (2017)
BackgroundThe disproportionate burden of noncommunicable disease among Indigenous Australians living in remote Indigenous communities (RICs) is a complex and persistent problem. Smartphones are increasingly being used by young Indigenous adults and t
Externí odkaz:
https://doaj.org/article/422eefbb34144c5995e8eb5573922b17
Autor:
Yamagata, Taku, Tonkin, Emma L., Sanchez, Benjamin Arana, Craddock, Ian, Nieto, Miquel Perello, Santos-Rodriguez, Raul, Yang, Weisong, Flach, Peter
In supervised learning, low quality annotations lead to poorly performing classification and detection models, while also rendering evaluation unreliable. This is particularly apparent on temporal data, where annotation quality is affected by multipl
Externí odkaz:
http://arxiv.org/abs/2302.02706
We describe a pilot study which specifically examines the prevalence and characteristics of performance tags on several sites. Identifying post-coordination of tags as a useful step in the study of this phenomenon, as well as other approaches to leve
Externí odkaz:
http://hdl.handle.net/10150/105795
Autor:
Tonkin, Emma
This paper attempts to draw a quick sketch of some of the research that relates to the state of social tagging research today. The result is intended to be representative rather than exhaustive. The goal of indexing consistency is discussed and exami
Externí odkaz:
http://hdl.handle.net/10150/106229
Autor:
Tonkin, Emma
In this paper we explore a method of decomposition of compound tags found in social tagging systems and outline several results, including improvement of search indexes, extraction of semantic information, and benefits to usability. Analysis of taggi
Externí odkaz:
http://hdl.handle.net/10150/105565
Autor:
Jovan, Ferdian, McConville, Ryan, Morgan, Catherine, Tonkin, Emma, Whone, Alan, Craddock, Ian
Parkinson's disease (PD) is a slowly progressive debilitating neurodegenerative disease which is prominently characterised by motor symptoms. Indoor localisation, including number and speed of room to room transitions, provides a proxy outcome which
Externí odkaz:
http://arxiv.org/abs/2205.06142
Autor:
Diethe, Tom, Kull, Meelis, Twomey, Niall, Sokol, Kacper, Song, Hao, Perello-Nieto, Miquel, Tonkin, Emma, Flach, Peter
This paper describes HyperStream, a large-scale, flexible and robust software package, written in the Python language, for processing streaming data with workflow creation capabilities. HyperStream overcomes the limitations of other computational eng
Externí odkaz:
http://arxiv.org/abs/1908.02858
Autor:
Elsts, Atis, Burghardt, Tilo, Byrne, Dallan, Camplani, Massimo, Damen, Dima, Fafoutis, Xenofon, Hannuna, Sion, Harwin, William, Holmes, Michael, Janko, Balazs, Lopez, Victor Ponce, Masullo, Alessandro, Mirmehdi, Majid, Oikonomou, George, Piechocki, Robert, Sherratt, R. Simon, Tonkin, Emma, Twomey, Niall, Vafeas, Antonis, Woznowski, Przemyslaw, Craddock, Ian
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 data collection in approximately 50 homes for duration up to one year. Th
Externí odkaz:
http://arxiv.org/abs/1805.11907
Autor:
Yordanova, Kristina, Paiement, Adeline, Schröder, Max, Tonkin, Emma, Woznowski, Przemyslaw, Olsson, Carl Magnus, Rafferty, Joseph, Sztyler, Timo
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 designing and training the system to recognise and reason about the situat
Externí odkaz:
http://arxiv.org/abs/1803.05843