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Found 5 papers, 3 papers with code
Perceptual Musical Features for Interpretable Audio Tagging
In the age of music streaming platforms, the task of automatically tagging music audio has garnered significant attention, driving researchers to devise methods aimed at enhancing performance metrics on standard datasets.
Choose your Data Wisely: A Framework for Semantic Counterfactuals
In this work, we build on these ideas, and propose a framework that provides counterfactual explanations in terms of knowledge graphs.
Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors
We propose a new back translation-inspired evaluation methodology that utilises earlier outputs of the explainer as ground truth proxies to investigate the consistency of explainers.
Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs
The use of symbolic knowledge representation and reasoning as a way to resolve the lack of transparency of machine learning classifiers is a research area that lately attracts many researchers.
Semantic Enrichment of Pretrained Embedding Output for Unsupervised IR
The rapid growth of scientific literature in the biomedical and clinical domain has significantly com- plicated the identification of information of interest by researchers as well as other practitioners.
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