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EEGminer: Discovering Interpretable Features of Brain Activity with
  Learnable Filters
v1v2 (latest)

EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters

19 October 2021
Siegfried Ludwig
Stylianos Bakas
Dimitrios A. Adamos
N. Laskaris
Yannis Panagakis
Stefanos Zafeiriou
ArXiv (abs)PDFHTML

Papers citing "EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters"

11 / 11 papers shown
Title
The Many-to-Many Mapping Between the Concordance Correlation Coefficient
  and the Mean Square Error
The Many-to-Many Mapping Between the Concordance Correlation Coefficient and the Mean Square Error
Vedhas Pandit
Björn Schuller
24
19
0
14 Feb 2019
Deep learning-based electroencephalography analysis: a systematic review
Deep learning-based electroencephalography analysis: a systematic review
Yannick Roy
Hubert J. Banville
Isabela Albuquerque
Alexandre Gramfort
T. Falk
J. Faubert
109
953
0
16 Jan 2019
Speaker Recognition from Raw Waveform with SincNet
Speaker Recognition from Raw Waveform with SincNet
Mirco Ravanelli
Yoshua Bengio
169
715
0
29 Jul 2018
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
21,939
0
22 May 2017
Deep learning with convolutional neural networks for EEG decoding and
  visualization
Deep learning with convolutional neural networks for EEG decoding and visualization
Robin Tibor Schirrmeister
Jost Tobias Springenberg
Lukas Dominique Josef Fiederer
Martin Glasstetter
Katharina Eggensperger
Michael Tangermann
Frank Hutter
Wolfram Burgard
Tonio Ball
72
1,924
0
15 Mar 2017
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer
  Interfaces
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
Vernon J. Lawhern
Amelia J. Solon
Nicholas R. Waytowich
Stephen M. Gordon
C. Hung
Brent Lance
OOD
101
2,891
0
23 Nov 2016
Towards the bio-personalization of music recommendation systems: A
  single-sensor EEG biomarker of subjective music preference
Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference
Dimitrios A. Adamos
S. Dimitriadis
N. Laskaris
40
39
0
21 Sep 2016
A Riemannian Network for SPD Matrix Learning
A Riemannian Network for SPD Matrix Learning
Zhiwu Huang
Luc Van Gool
61
400
0
15 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
333
8,130
0
13 Aug 2016
Identifying Stable Patterns over Time for Emotion Recognition from EEG
Identifying Stable Patterns over Time for Emotion Recognition from EEG
Wei-Long Zheng
Jia-Yi Zhu
Bao-Liang Lu
40
719
0
10 Jan 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,328
0
11 Feb 2015
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