Lloyd Pellatt

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 7

Top Topics

Activity Recognition

Motion Capture Data

Neural Architecture

Wearable Sensors

Top Venues

PerCom Workshops

UbiComp/ISWC Adjunct

Frontiers Comput. Sci.

Publications

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)
Lukas Günthermann, Lloyd Pellatt, Daniel Roggen
Slow Feature Preprocessing in Deep Neural Networks for Wearable Sensor-Based Locomotion Recognition. PerCom Workshops (2022)
Lloyd Pellatt, Marius Bock, Daniel Roggen, Kristof Van Laerhoven
A Public Repository to Improve Replicability and Collaboration in Deep Learning for HAR. PerCom Workshops (2022)
Lloyd Pellatt, Daniel Roggen
Fast Deep Neural Architecture Search for Wearable Activity Recognition by Early Prediction of Converged Performance. ISWC (2021)
Lloyd Pellatt, Maziar M. Nekovee, Dehao Wu
A Concurrent Training Method of Deep-Learning Autoencoders in a Multi-user Interference Channel. ISWCS (2021)
Nobuyuki Oishi, Benedetta Heimler, Lloyd Pellatt, Meir Plotnik, Daniel Roggen
Detecting Freezing of Gait with Earables Trained from VR Motion Capture Data. ISWC (2021)
Lloyd Pellatt, Daniel Roggen
CausalBatch: solving complexity/performance tradeoffs for deep convolutional and LSTM networks for wearable activity recognition. UbiComp/ISWC Adjunct (2020)