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Interpretability for Multimodal Emotion Recognition using Concept
  Activation Vectors

Interpretability for Multimodal Emotion Recognition using Concept Activation Vectors

2 February 2022
Ashish Ramayee Asokan
Nidarshan Kumar
Anirudh Venkata Ragam
S. Sharath
ArXivPDFHTML

Papers citing "Interpretability for Multimodal Emotion Recognition using Concept Activation Vectors"

10 / 10 papers shown
Title
A Review of Multimodal Explainable Artificial Intelligence: Past,
  Present and Future
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future
Shilin Sun
Wenbin An
Feng Tian
Fang Nan
Qidong Liu
J. Liu
N. Shah
Ping Chen
91
2
0
18 Dec 2024
Explaining Deep Neural Networks for Bearing Fault Detection with
  Vibration Concepts
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts
Thomas Decker
Michael Lebacher
Volker Tresp
FAtt
13
2
0
17 Oct 2023
Unsupervised discovery of Interpretable Visual Concepts
Unsupervised discovery of Interpretable Visual Concepts
Caroline Mazini Rodrigues
Nicolas Boutry
Laurent Najman
FAtt
18
2
0
31 Aug 2023
Towards Interpretability in Audio and Visual Affective Machine Learning:
  A Review
Towards Interpretability in Audio and Visual Affective Machine Learning: A Review
David S. Johnson
Olya Hakobyan
Hanna Drimalla
11
2
0
15 Jun 2023
Multimodal Explainable Artificial Intelligence: A Comprehensive Review
  of Methodological Advances and Future Research Directions
Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions
N. Rodis
Christos Sardianos
Panagiotis I. Radoglou-Grammatikis
Panagiotis G. Sarigiannidis
Iraklis Varlamis
Georgios Th. Papadopoulos
25
22
0
09 Jun 2023
Concept-Based Techniques for "Musicologist-friendly" Explanations in a
  Deep Music Classifier
Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier
Francesco Foscarin
Katharina Hoedt
Verena Praher
A. Flexer
Gerhard Widmer
21
11
0
26 Aug 2022
VISTANet: VIsual Spoken Textual Additive Net for Interpretable
  Multimodal Emotion Recognition
VISTANet: VIsual Spoken Textual Additive Net for Interpretable Multimodal Emotion Recognition
Puneet Kumar
Sarthak Malik
Balasubramanian Raman
Xiaobai Li
13
2
0
24 Aug 2022
Learning Unsupervised Hierarchies of Audio Concepts
Learning Unsupervised Hierarchies of Audio Concepts
Darius Afchar
Romain Hennequin
Vincent Guigue
32
2
0
21 Jul 2022
On Interpretability of Deep Learning based Skin Lesion Classifiers using
  Concept Activation Vectors
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors
Adriano Lucieri
Muhammad Naseer Bajwa
S. Braun
M. I. Malik
Andreas Dengel
Sheraz Ahmed
MedIm
159
64
0
05 May 2020
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
230
31,253
0
16 Jan 2013
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