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Riccardo Guidotti
ExpertRiccardo Guidotti is an Assistant Professor at University of Pisa and he is interested in Explainable Artificial Intelligence, Data Mining and Machine Learning.
LORE. LOcal Rule-based Exlanations
53TX-Means. Python
18ABELE. Adversarial Black box Explainer generating Latent Exemplars
11Scamander. Counterfactual Explanations and How to Find Them
9InterpretableModels. Python
8DidacticDataMining. A library to learn how data mining algorithms work.
6CustomerTemporalRegularities. Jupyter Notebook
4SyntheticExplanationGenerator. Synthetic Explanation Generator
4ExplainMultilabelClassifiers. MARLENA - Explain Multilabel Classifiers
3ECE. Ensemble of Counterfactual Explainers
3MIMOSA. Mining Interpretable Models explOiting Sophisticated Algorithms
1riccotti.github.io.
1CrashPrediction. Python
1MobilityAgenda. Python
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