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Interpretable SincNet-based Deep Learning for Emotion Recognition from
  EEG brain activity

Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity

18 July 2021
J. M. M. Torres
Mirco Ravanelli
Sara E. Medina-DeVilliers
M. Lerner
Giuseppe Riccardi
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Papers citing "Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity"

3 / 3 papers shown
Title
Decision SincNet: Neurocognitive models of decision making that predict
  cognitive processes from neural signals
Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals
Qi Sun
Khuong Vo
K. Lui
Michael D. Nunez
J. Vandekerckhove
R. Srinivasan
21
0
0
04 Aug 2022
Interpretability for Multimodal Emotion Recognition using Concept
  Activation Vectors
Interpretability for Multimodal Emotion Recognition using Concept Activation Vectors
Ashish Ramayee Asokan
Nidarshan Kumar
Anirudh Venkata Ragam
S. Sharath
35
18
0
02 Feb 2022
Evaluation of Interpretability for Deep Learning algorithms in EEG
  Emotion Recognition: A case study in Autism
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism
J. M. M. Torres
Sara E. Medina-DeVilliers
T. Clarkson
M. Lerner
Giuseppe Riccardi
35
34
0
25 Nov 2021
1