1 code implementation • 22 Nov 2021 • Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia Vinogradska
Bayesian optimization is a powerful paradigm to optimize black-box functions based on scarce and noisy data.
no code implementations • Sensors 2019 • Attila Reiss, Ina Indlekofer, Philip Schmidt, Kristof Van Laerhoven
We show that on large datasets the deep learning model significantly outperforms other methods: The mean absolute error could be reduced by 31% on the new dataset PPG-DaLiA, and by 21% on the dataset WESAD.
Ranked #1 on Heart rate estimation on PPG-DaLiA
no code implementations • International Symposium on Wearable Computers 2012 • Attila Reiss, Didier Stricker
This paper addresses the lack of a commonly used, standard dataset and established benchmarking problems for physical activity monitoring.