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Lloyd Pellatt
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2020 – today
- 2022
- [j1]Lloyd Pellatt
, Daniel Roggen
Speeding up deep neural architecture search for wearable activity recognition with early prediction of converged performance. Frontiers Comput. Sci. 4 (2022) - [c6]Lloyd Pellatt
A Public Repository to Improve Replicability and Collaboration in Deep Learning for HAR. PerCom Workshops 2022: 54-57 - [c5]Lukas Günthermann
Slow Feature Preprocessing in Deep Neural Networks for Wearable Sensor-Based Locomotion Recognition. PerCom Workshops 2022: 58-61 - 2021
- [c4]Lloyd Pellatt
Fast Deep Neural Architecture Search for Wearable Activity Recognition by Early Prediction of Converged Performance. ISWC 2021: 1-6 - [c3]Nobuyuki Oishi, Benedetta Heimler, Lloyd Pellatt
Detecting Freezing of Gait with Earables Trained from VR Motion Capture Data. ISWC 2021: 33-37 - [c2]Lloyd Pellatt
A Concurrent Training Method of Deep-Learning Autoencoders in a Multi-user Interference Channel. ISWCS 2021: 1-6 - 2020
- [c1]Lloyd Pellatt
CausalBatch: solving complexity/performance tradeoffs for deep convolutional and LSTM networks for wearable activity recognition. UbiComp/ISWC Adjunct 2020: 272-277
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