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pro vyhledávání: '"Dan, Jonathan"'
Deep learning time-series processing often relies on convolutional neural networks with overlapping windows. This overlap allows the network to produce an output faster than the window length. However, it introduces additional computations. This work
Externí odkaz:
http://arxiv.org/abs/2408.03223
Non-linear activation functions are crucial in Convolutional Neural Networks. However, until now they have not been well described in the frequency domain. In this work, we study the spectral behavior of ReLU, a popular activation function. We use th
Externí odkaz:
http://arxiv.org/abs/2407.16556
Autor:
Orlandic, Lara, Dan, Jonathan, Thevenot, Jerome, Teijeiro, Tomas, Sauty, Alain, Atienza, David
Chronic cough disorders are widespread and challenging to assess because they rely on subjective patient questionnaires about cough frequency. Wearable devices running Machine Learning (ML) algorithms are promising for quantifying daily coughs, provi
Externí odkaz:
http://arxiv.org/abs/2406.01529
Accurate extraction of heart rate from photoplethysmography (PPG) signals remains challenging due to motion artifacts and signal degradation. Although deep learning methods trained as a data-driven inference problem offer promising solutions, they of
Externí odkaz:
http://arxiv.org/abs/2405.09559
Autor:
Dan, Jonathan, Pale, Una, Amirshahi, Alireza, Cappelletti, William, Ingolfsson, Thorir Mar, Wang, Xiaying, Cossettini, Andrea, Bernini, Adriano, Benini, Luca, Beniczky, Sándor, Atienza, David, Ryvlin, Philippe
The need for high-quality automated seizure detection algorithms based on electroencephalography (EEG) becomes ever more pressing with the increasing use of ambulatory and long-term EEG monitoring. Heterogeneity in validation methods of these algorit
Externí odkaz:
http://arxiv.org/abs/2402.13005
Many problems require the selection of a subset of variables from a full set of optimization variables. The computational complexity of an exhaustive search over all possible subsets of variables is, however, prohibitively expensive, necessitating mo
Externí odkaz:
http://arxiv.org/abs/2105.13667
Publikováno v:
In Signal Processing June 2022 195
Publikováno v:
Current Opinion in Neurology; Apr2024, Vol. 37 Issue 2, p99-104, 6p
Akademický článek
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Autor:
Dan, Jonathan
Epilepsy is one of the most common severely disabling brain conditions, affecting over 46 million people worldwide. It is characterised by recurring, sudden, excessive, synchronous electrical activity in neuronal networks that disrupt ongoing brain a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1131::8dca10286cdc3dccf2e068439cbbd440
https://lirias.kuleuven.be/handle/20.500.12942/706844
https://lirias.kuleuven.be/handle/20.500.12942/706844