Lloyd Pellatt
According to our database1,
Lloyd Pellatt
authored at least 7 papers
between 2020 and 2022.
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Bibliography
2022
Speeding up deep neural architecture search for wearable activity recognition with early prediction of converged performance.
Frontiers Comput. Sci., 2022
A Public Repository to Improve Replicability and Collaboration in Deep Learning for HAR.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022
Slow Feature Preprocessing in Deep Neural Networks for Wearable Sensor-Based Locomotion Recognition.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022
2021
A Concurrent Training Method of Deep-Learning Autoencoders in a Multi-user Interference Channel.
Proceedings of the 17th International Symposium on Wireless Communication Systems, 2021
Fast Deep Neural Architecture Search for Wearable Activity Recognition by Early Prediction of Converged Performance.
Proceedings of the ISWC 2021: Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021
Proceedings of the ISWC 2021: Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021
2020
CausalBatch: solving complexity/performance tradeoffs for deep convolutional and LSTM networks for wearable activity recognition.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020