Lloyd Pellatt - researchr alias

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Viewing Publication 1 - 7 from 7

2022

Slow Feature Preprocessing in Deep Neural Networks for Wearable Sensor-Based Locomotion RecognitionLukas Günthermann, Lloyd Pellatt, Daniel Roggen. percom 2022: 58-61 [doi]

Speeding up deep neural architecture search for wearable activity recognition with early prediction of converged performanceLloyd Pellatt, Daniel Roggen. fcomp, 4, 2022. [doi]

A Public Repository to Improve Replicability and Collaboration in Deep Learning for HARLloyd Pellatt, Marius Bock, Daniel Roggen, Kristof Van Laerhoven. percom 2022: 54-57 [doi]

2021

Detecting Freezing of Gait with Earables Trained from VR Motion Capture DataNobuyuki Oishi, Benedetta Heimler, Lloyd Pellatt, Meir Plotnik, Daniel Roggen. iswc 2021: 33-37 [doi]

Fast Deep Neural Architecture Search for Wearable Activity Recognition by Early Prediction of Converged PerformanceLloyd Pellatt, Daniel Roggen. iswc 2021: 1-6 [doi]

A Concurrent Training Method of Deep-Learning Autoencoders in a Multi-user Interference ChannelLloyd Pellatt, Maziar M. Nekovee, Dehao Wu. iswcs 2021: 1-6 [doi]

2020

CausalBatch: solving complexity/performance tradeoffs for deep convolutional and LSTM networks for wearable activity recognitionLloyd Pellatt, Daniel Roggen. huc 2020: 272-277 [doi]

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