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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Towards direct speech synthesis from ECoG: A pilot studyChristian Herff, Garett Johnson, Lorenz Diener, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 31, 2021
Technology-driven dyadic interaction in caregivingViktoria Hoel, Eliva Atieno Ambugo, Lars Steinert, et al.
Frontiers in Neuroscience|May 16, 2020
Opportunities and Challenges for Using Automatic Human Affect Analysis in Consumer ResearchDennis Küster, Eva G Krumhuber, Lars Steinert, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
XAGnet: Cross-Attention Graph Network for Detecting Auditory Attention in Ear-EEG SignalsSaurav Pahuja, Gabriel Ivucic, Siqi Cai, et al.
Frontiers in Physiology|October 30, 2023
Outlier detection using iterative adaptive mini-minimum spanning tree generation with applications on medical dataJia Li, Jiangwei Li, Chenxu Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Diff-ETS: Learning a Diffusion Probabilistic Model for Electromyography-to-Speech ConversionZhao Ren, Kevin Scheck, Qinhan Hou, et al.
Topics in Cognitive Science|August 30, 2021
Action Selection and Execution in Everyday Activities: A Cognitive Robotics and Situation Model PerspectiveDavid Vernon, Josefine Albert, Michael Beetz, et al.
Nanoscale|July 19, 2019
Carbon-templated conductive oxide supports for oxygen evolution catalysisAlexander G Hufnagel, Sebastian Häringer, Michael Beetz, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 19, 2022
An Interpretable Deep Learning Model for Speech Activity Detection Using Electrocorticographic SignalsMorgan Stuart, Srdjan Lesaja, Jerry J Shih, et al.
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