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Explainable Computational Creativity (XCC) dataset
The dataset used in the paper is not explicitly described, but it is mentioned that it is a dataset for Explainable Computational Creativity (XCC) systems. -
ChartCheck
ChartCheck is a novel, large-scale dataset for explainable fact-checking against real-world charts, consisting of 1.7k charts and 10.5k human-written claims and explanations. -
Semantically Rich Local Dataset Generation for Explainable AI in Genomics
Semantically Rich Local Dataset Generation for Explainable AI in Genomics -
OPENGOALEX
OPENGOALEX is a collection of 12 open-ended GOALEX problems. -
Interpretable computer aided diagnosis of breast masses
The proposed interpretable CADx framework is devised to provide the diagnostic decision with interpretation in terms of medical descriptions (BI-RADS). -
HateXplain
The HateXplain dataset, containing 20,000 posts from Gab and Twitter, annotated with hate/offensive/normal labels. -
Learning Interpretable Queries for Explainable Image Classification with Info...
Information Pursuit (IP) is an explainable prediction algorithm that greedily selects a sequence of interpretable queries about the data in order of information gain, updating... -
Adversarial Counterfactual Visual Explanations
Counterfactual explanations and adversarial attacks have a related goal: flipping output labels with minimal perturbations regardless of their characteristics. -
Using Decision Tree as Local Interpretable Model in Autoencoder-based LIME
The paper introduces a new version of ALIME, which uses a decision tree instead of a linear model as the locally interpretable model. -
Automatic Concept Embedding Model (ACEM)
Automatic Concept Embedding Model (ACEM) is a model that learns concept annotations automatically, without requiring concept annotations for all training data. -
Explainable AI for AML genetic subtype classification
Explainable AI for AML genetic subtype classification
