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08/03/2023
Evaluating Link Prediction Explanations for Graph Neural Networks
Graph Machine Learning (GML) has numerous applications, such as node/gra...
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08/01/2023
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers
Images are loaded with semantic information that pertains to real-world ...
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02/15/2023
Streamlining models with explanations in the learning loop
Several explainable AI methods allow a Machine Learning user to get insi...
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03/17/2022
Revealing the determinants of gender inequality in urban cycling with large-scale data
Cycling is an outdoor activity with massive health benefits, and an effe...
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02/17/2022
GRAPHSHAP: Motif-based Explanations for Black-box Graph Classifiers
Most methods for explaining black-box classifiers (e.g., on tabular data...
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06/01/2021
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods
The main objective of eXplainable Artificial Intelligence (XAI) is to pr...
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11/08/2020
