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Francesco Bodria
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2020 – today
- 2024
- [j2]Simone Piaggesi
, Francesco Bodria, Riccardo Guidotti
Counterfactual and Prototypical Explanations for Tabular Data via Interpretable Latent Space. IEEE Access 12: 168983-169000 (2024) - 2023
- [j1]Francesco Bodria
Benchmarking and survey of explanation methods for black box models. Data Min. Knowl. Discov. 37(5): 1719-1778 (2023) - 2022
- [c6]Francesca Naretto, Francesco Bodria, Fosca Giannotti, Dino Pedreschi:
Benchmark Analysis of Black Box Local Explanation Methods. XAI.it@AI*IA 2022: 73-87 - [c5]Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi:
Interpretable Latent Space to Enable Counterfactual Explanations. DS 2022: 525-540 - [c4]Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi:
Transparent Latent Space Counterfactual Explanations for Tabular Data. DSAA 2022: 1-10 - [c3]Francesco Bodria, Salvatore Rinzivillo, Daniele Fadda, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi:
Explaining Black Box with Visual Exploration of Latent Space. EuroVis (Short Papers) 2022: 85-89 - 2021
- [c2]Fosca Giannotti
Explainable for Trustworthy AI. ACAI 2021: 175-195 - [i1]Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo:
Benchmarking and Survey of Explanation Methods for Black Box Models. CoRR abs/2102.13076 (2021) - 2020
- [c1]Francesco Bodria, André Panisson, Alan Perotti, Simone Piaggesi:
Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis. SEBD 2020: 100-107
Coauthor Index
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