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Mattia Setzu
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2020 – today
- 2024
- [j2]Mattia Setzu
, Silvia Corbara
Explainable Authorship Identification in Cultural Heritage Applications. ACM Journal on Computing and Cultural Heritage 17(3): 44:1-44:23 (2024) - [c9]Riccardo Guidotti, Anna Monreale, Mattia Setzu, Giulia Volpi:
Generative Model for Decision Trees. AAAI 2024: 21116-21124 - [c8]Guillermo Fernández
FLocalX - Local to Global Fuzzy Explanations for Black Box Classifiers. IDA (2) 2024: 197-209 - [c7]Alessio Cascione
Data-Agnostic Pivotal Instances Selection for Decision-Making Models. ECML/PKDD (1) 2024: 367-386 - [i6]Clara Punzi, Roberto Pellungrini, Mattia Setzu
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems. CoRR abs/2402.06287 (2024) - [i5]Mattia Setzu
FairBelief - Assessing Harmful Beliefs in Language Models. CoRR abs/2402.17389 (2024) - 2023
- [c6]Mattia Setzu
Correlation and Unintended Biases on Univariate and Multivariate Decision Trees. IEEE Big Data 2023: 5382-5391 - [c5]Nafis Irtiza Tripto, Adaku Uchendu, Thai Le, Mattia Setzu, Fosca Giannotti, Dongwon Lee
HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis. EMNLP (Findings) 2023: 13706-13724 - [c4]Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Luca Pappalardo, Dino Pedreschi, Roberto Pellungrini, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Mattia Setzu, Rosaria Deluca:
Trustworthy AI at KDD Lab. Ital-IA 2023: 388-393 - [i4]Nafis Irtiza Tripto, Adaku Uchendu, Thai Le, Mattia Setzu
HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis. CoRR abs/2310.16746 (2023) - [i3]Mattia Setzu
Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New Perspective. CoRR abs/2311.02237 (2023) - [i2]Mattia Setzu, Salvatore Ruggieri:
Correlation and Unintended Biases on Univariate and Multivariate Decision Trees. CoRR abs/2312.01884 (2023) - 2022
- [b1]Mattia Setzu:
Opening the Black Box: Empowering Machine Learning Models with Explanations. University of Pisa, Italy, 2022 - 2021
- [j1]Mattia Setzu
GLocalX - From Local to Global Explanations of Black Box AI Models. Artif. Intell. 294: 103457 (2021) - [c3]Mattia Setzu
TRIPLEx: Triple Extraction for Explanation. CogMI 2021: 44-53 - [i1]Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti:
GLocalX - From Local to Global Explanations of Black Box AI Models. CoRR abs/2101.07685 (2021)
2010 – 2019
- 2019
- [c2]Mattia Setzu
Global Explanations with Local Scoring. PKDD/ECML Workshops (1) 2019: 159-171 - 2016
- [c1]Mattia Setzu
SPARQL Queries over Source Code. ICSC 2016: 104-106
Coauthor Index
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