1 code implementation • 6 Jun 2022 • Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, David A. Clifton, Aiden Doherty
Advances in deep learning for human activity recognition have been relatively limited due to the lack of large labelled datasets.
1 code implementation • 11 Jan 2021 • Emma Rocheteau, Catherine Tong, Petar Veličković, Nicholas Lane, Pietro Liò
Recent work on predicting patient outcomes in the Intensive Care Unit (ICU) has focused heavily on the physiological time series data, largely ignoring sparse data such as diagnoses and medications.
no code implementations • 17 Dec 2020 • Christian Schroeder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Freddie Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski
Extreme precipitation events, such as violent rainfall and hail storms, routinely ravage economies and livelihoods around the developing world.
no code implementations • 29 May 2020 • Hyeokhyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Ploetz
The lack of large-scale, labeled data sets impedes progress in developing robust and generalized predictive models for on-body sensor-based human activity recognition (HAR).
no code implementations • 22 Jan 2020 • Catherine Tong, Shyam A. Tailor, Nicholas D. Lane
Overall, our work highlights the need to move away from accelerometers and calls for further exploration of using imagers for activity recognition.
no code implementations • 25 Sep 2019 • Vivek Kothari, Catherine Tong, Nicholas Lane
We highlight a lack of understanding of the behaviour of Graph Neural Networks (GNNs) in various topological contexts.
no code implementations • ICLR 2018 • Vincent W.-S. Tseng, Sourav Bhattachary, Javier Fernández Marqués, Milad Alizadeh, Catherine Tong, Nicholas Donald Lane
In this work we present BinaryFlex, a neural network architecture that learns weighting coefficients of predefined orthogonal binary basis instead of the conventional approach of learning directly the convolutional filters.