Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees

Giulia Vilone; Luca Longo

doi:10.1007/978-3-032-08333-3_5

Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees

Giulia Vilone
, Luca Longo

School of Computer Science and Information Technology

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

Original language	Undefined/Unknown
Title of host publication	Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees
DOIs	https://doi.org/10.1007/978-3-032-08333-3_5
Publication status	Published - 2026

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10.1007/978-3-032-08333-3_5

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title = "Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees",

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Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees. / Vilone, Giulia; Longo, Luca.
Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees. 2026.

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

TY - CHAP

T1 - Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees

AU - Vilone, Giulia

AU - Longo, Luca

PY - 2026

Y1 - 2026

UR - https://doi.org/10.1007/978-3-032-08333-3_5

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DO - 10.1007/978-3-032-08333-3_5

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BT - Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees

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Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees

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