The Human-Computer Interaction (HCI) community has long stressed the need for a more user-centered approach to Explainable Artificial Intelligence (XAI), a research area that aims at defining algorithms and tools to illustrate the predictions of the so-called black-box models. This approach can benefit from the fields of user-interface, user experience, and visual analytics. In this demo, we propose a visual-based tool, "F.I.P.E.R.", that shows interactive explanations combining rules and feature importance.
Demo: an interactive visualization combining rule-based and feature importance explanations
Fadda D;Rinzivillo S
2023
Abstract
The Human-Computer Interaction (HCI) community has long stressed the need for a more user-centered approach to Explainable Artificial Intelligence (XAI), a research area that aims at defining algorithms and tools to illustrate the predictions of the so-called black-box models. This approach can benefit from the fields of user-interface, user experience, and visual analytics. In this demo, we propose a visual-based tool, "F.I.P.E.R.", that shows interactive explanations combining rules and feature importance.File in questo prodotto:
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prod_486658-doc_201970.pdf
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Descrizione: Demo: an Interactive Visualization Combining Rule-Based and Feature Importance Explanations
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prod_486658-doc_202081.pdf
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Descrizione: Postprint - Demo: an Interactive Visualization Combining Rule-Based and Feature Importance Explanations
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Versione Editoriale (PDF)
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1.29 MB
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Adobe PDF
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1.29 MB | Adobe PDF | Visualizza/Apri |
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