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Found 6 papers, 0 papers with code
Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust
In this paper, we present an approach for generating contrastive explanations to explain facial expressions of pain and disgust shown in video sequences.
CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition
Neural networks are widely adopted, yet the integration of domain knowledge is still underutilized.
Explanation as a process: user-centric construction of multi-level and multi-modal explanations
We present a process-based approach that combines multi-level and multi-modal explanations.
Explainable Artificial Intelligence (XAI)
Inductive logic programming
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A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts
With the amount of XAI methods vastly growing, a taxonomy of methods is needed by researchers as well as practitioners: To grasp the breadth of the topic, compare methods, and to select the right XAI method based on traits required by a specific use-case context.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Uncovering the Bias in Facial Expressions
Over the past decades the machine and deep learning community has celebrated great achievements in challenging tasks such as image classification.
Verifying Deep Learning-based Decisions for Facial Expression Recognition
Finally, we quantify these visual explanations based on a bounding-box method with respect to facial regions.
Facial Expression Recognition
Facial Expression Recognition (FER)
