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Emanuele Albini
Emanuele Albini
J.P. Morgan AI Research & Imperial College London
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
Argumentative XAI: A Survey
K Čyras, A Rago, E Albini, P Baroni, F Toni
Survey Track at IJCAI '21: International Joint Conference on Artificial …, 2021
1312021
Counterfactual Shapley Additive Explanations
E Albini, J Long, D Dervovic, D Magazzeni
FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022
422022
Relation-Based Counterfactual Explanations for Bayesian Network Classifiers.
E Albini, A Rago, P Baroni, F Toni
IJCAI '20: Proceedings of the Twenty-Ninth International Joint Conference on …, 2020
382020
Argflow: A toolkit for deep argumentative explanations for neural networks
A Dejl, P He, P Mangal, H Mohsin, B Surdu, E Voinea, E Albini, ...
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
242021
Deep argumentative explanations
E Albini, P Lertvittayakumjorn, A Rago, F Toni
arXiv preprint arXiv:2012.05766, 2020
172020
Influence-driven explanations for Bayesian network classifiers
E Albini, A Rago, P Baroni, F Toni
PRICAI 2021: Trends in Artificial Intelligence: 18th Pacific Rim …, 2021
132021
PageRank as an Argumentation Semantics
E Albini, P Baroni, A Rago, F Toni
Computational Models of Argument: Proceedings of COMMA 2020 326, 55, 2020
8*2020
Explaining classifiers’ outputs with causal models and argumentation
A Rago, F Russo, E Albini, F Toni, P Baroni
IfCoLog Journal of Logics and their Applications 10 (3), 2023
42023
Forging Argumentative Explanations from Causal Models.
A Rago, F Russo, E Albini, P Baroni, F Toni
AI³@ AI* IA, 2021
42021
Interpreting and explaining pagerank through argumentation semantics
E Albini, P Baroni, A Rago, F Toni
Intelligenza Artificiale 15 (1), 17-34, 2021
42021
Descriptive accuracy in explanations: The case of probabilistic classifiers
E Albini, A Rago, P Baroni, F Toni
International Conference on Scalable Uncertainty Management, 279-294, 2022
32022
Influence-driven explanations for bayesian network classifiers
A Rago, E Albini, P Baroni, F Toni
arXiv preprint arXiv:2012.05773, 2020
22020
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
E Albini, S Sharma, S Mishra, D Dervovic, D Magazzeni
AIES '23: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
12023
System and method for generating grouped shapley values
D Magazzeni, J Long, N Marchesotti, E Albini, S Raychaudhuri, M Veloso, ...
US Patent App. 18/142,309, 2023
2023
REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values
S Sharma, S Dutta, E Albini, F Lecue, D Magazzeni, M Veloso
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 443-453, 2023
2023
Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers
E Albini, A Rago, P Baroni, F Toni
Frontiers in Artificial Intelligence 6, 1099407, 2023
2023
Influence-Driven Explanations for Bayesian Network Classifiers (Extended Abstract)⇤
E Albini, A Rago, P Baroni, F Toni
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