20 citations · 70 across the 20 of their papers we have counts for
4 papers · 1 filter
ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition
Shuai Shao, Yu Guan, Bing Zhai +2
Human activity recognition (HAR) is one of the core research themes in ubiquitous and wearable computing. With the shift to deep learning (DL) based analysis approaches, it has bec…
Benchmark time series data sets for PyTorch -- the torchtime package
Philip Darke, Paolo Missier, Jaume Bacardit
The development of models for Electronic Health Record data is an area of active research featuring a small number of public benchmark data sets. Researchers typically write custom…
Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context
Ehsan Toreini, Mhairi Aitken, Kovila P. L. Coopamootoo +5
Concerns about the societal impact of AI-based services and systems has encouraged governments and other organisations around the world to propose AI policy frameworks to address f…
Recruiting from the network: discovering Twitter users who can help combat Zika epidemics
Paolo Missier, Callum McClean, Jonathan Carlton +5
Tropical diseases like \textit{Chikungunya} and \textit{Zika} have come to prominence in recent years as the cause of serious, long-lasting, population-wide health problems. In lar…