Mattia Setzu — accepted AI-conference papers

2024

Generative Model for Decision Trees

Riccardo Guidotti, Anna Monreale, Mattia Setzu, Giulia Volpi

AAAI 2024technical

Decision trees are among the most popular supervised models due to their interpretability and knowledge representation resembling human reasoning. Commonly-used decision tree induction algorithms are based on greedy top-down strategies. Although these approaches are known to be an efficient heuristi…

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2023

HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis

Nafis Irtiza Tripto, Adaku Uchendu, Thai Le, Mattia Setzu, Fosca Giannotti, Dongwon Lee

EMNLP 2023long findings

$\textit{Authorship Analysis}$, also known as stylometry, has been an essential aspect of Natural Language Processing (NLP) for a long time. Likewise, the recent advancement of Large Language Models (LLMs) has made authorship analysis increasingly crucial for distinguishing between human-written and…

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