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ICLabel: An automated electroencephalographic independent component
  classifier, dataset, and website

ICLabel: An automated electroencephalographic independent component classifier, dataset, and website

22 January 2019
L. Pion-Tonachini
Ken Kreutz-Delgado
S. Makeig
ArXivPDFHTML

Papers citing "ICLabel: An automated electroencephalographic independent component classifier, dataset, and website"

13 / 13 papers shown
Title
EEG Artifact Detection and Correction with Deep Autoencoders
EEG Artifact Detection and Correction with Deep Autoencoders
David Aquilué-Llorens
Aureli Soria-Frisch
85
0
0
12 Feb 2025
Training Confidence-calibrated Classifiers for Detecting
  Out-of-Distribution Samples
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
113
881
0
26 Nov 2017
Good Semi-supervised Learning that Requires a Bad GAN
Good Semi-supervised Learning that Requires a Bad GAN
Zihang Dai
Zhilin Yang
Fan Yang
William W. Cohen
Ruslan Salakhutdinov
GAN
48
483
0
27 May 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational
  Learning
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Akash Srivastava
Lazar Valkov
Chris Russell
Michael U. Gutmann
Charles Sutton
SyDa
GAN
60
678
0
22 May 2017
Amortised MAP Inference for Image Super-resolution
Amortised MAP Inference for Image Super-resolution
C. Sønderby
Jose Caballero
Lucas Theis
Wenzhe Shi
Ferenc Huszár
92
435
0
14 Oct 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
478
9,048
0
10 Jun 2016
Semi-Supervised Learning with Generative Adversarial Networks
Semi-Supervised Learning with Generative Adversarial Networks
Augustus Odena
GAN
66
683
0
05 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
250
14,008
0
19 Nov 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
344
19,643
0
09 Mar 2015
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
43,289
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
320
2,945
0
15 Dec 2014
Validation of Soft Classification Models using Partial Class
  Memberships: An Extended Concept of Sensitivity & Co. applied to the Grading
  of Astrocytoma Tissues
Validation of Soft Classification Models using Partial Class Memberships: An Extended Concept of Sensitivity & Co. applied to the Grading of Astrocytoma Tissues
C. Beleites
R. Salzer
V. Sergo
55
55
0
02 Jan 2013
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