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Keywords : eXplainable AI
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Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees

Annabelle Redelmeier , Martin Jullum , Kjersti Aas
4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.117-137, ⟨10.1007/978-3-030-57321-8_7⟩
Conference papers hal-03414718v1
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Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-Case

Lukas Felsberger , Andrea Apollonio , Thomas Cartier-Michaud , Andreas Müller , Benjamin Todd , et al.
4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.139-158, ⟨10.1007/978-3-030-57321-8_8⟩
Conference papers hal-03414728v1
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eXDiL: A Tool for Classifying and eXplaining Hospital Discharge Letters

Fabio Mercorio , Mario Mezzanzanica , Andrea Seveso
4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.159-172, ⟨10.1007/978-3-030-57321-8_9⟩
Conference papers hal-03414738v1
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Back to the Feature: A Neural-Symbolic Perspective on Explainable AI

Andrea Campagner , Federico Cabitza
4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.39-55, ⟨10.1007/978-3-030-57321-8_3⟩
Conference papers hal-03414734v1
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Interpretation of SVM Using Data Mining Technique to Extract Syllogistic Rules

Sanjay Sekar Samuel , Nik Abdullah , Anil Raj
4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.249-266, ⟨10.1007/978-3-030-57321-8_14⟩
Conference papers hal-03414717v1