Imperial College London


Faculty of EngineeringDepartment of Computing

Research Associate



a.rago Website




429Huxley BuildingSouth Kensington Campus






Albini E, Rago A, Baroni P, et al., 2023, Achieving descriptive accuracy in explanations via argumentation: the case of probabilistic classifiers, Frontiers in Artificial Intelligence, Vol:6, ISSN:2624-8212, Pages:1-18


Rago A, Li H, Toni F, Interactive Explanations by Conflict Resolution via Argumentative Exchanges, 20th International Conference on Principles of Knowledge Representation and Reasoning (KR2023)

Jiang J, Leofante F, Rago A, et al., Formalising the robustness of counterfactual explanations for neural networks, The 37th AAAI Conference on Artificial Intelligence (AAAI 2023), Association for the Advancement of Artificial Intelligence

Albini E, Rago A, Baroni P, et al., Descriptive accuracy in explanations: the case of probabilistic classifiers, 15th International Conference on Scalable Uncertainty Management (SUM 2022)

Sukpanichnant P, Rago A, Lertvittayakumjorn P, et al., 2022, Neural QBAFs: explaining neural networks under LRP-based argumentation frameworks, International Conference of the Italian Association for Artificial Intelligence, Springer International Publishing, Pages:429-444, ISSN:0302-9743

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