Emanuele Albini

Orcid: 0000-0003-2964-4638

According to our database1, Emanuele Albini authored at least 14 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers.
Frontiers Artif. Intell., February, 2023

Explaining Classifiers' Outputs with Causal Models and Argumentation.
FLAP, 2023

REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022
Descriptive Accuracy in Explanations: The Case of Probabilistic Classifiers.
Proceedings of the Scalable Uncertainty Management - 15th International Conference, 2022

Counterfactual Shapley Additive Explanations.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
Interpreting and explaining pagerank through argumentation semantics.
Intelligenza Artificiale, 2021

Influence-Driven Explanations for Bayesian Network Classifiers.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Argumentative XAI: A Survey.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Argflow: A Toolkit for Deep Argumentative Explanations for Neural Networks.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Forging Argumentative Explanations from Causal Models.
Proceedings of the 5th Workshop on Advances in Argumentation in Artificial Intelligence 2021 co-located with the 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021), 2021

2020
DAX: Deep Argumentative eXplanation for Neural Networks.
CoRR, 2020

Relation-Based Counterfactual Explanations for Bayesian Network Classifiers.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

PageRank as an Argumentation Semantics.
Proceedings of the Computational Models of Argument, 2020


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