Imperial College London


Faculty of EngineeringDepartment of Computing

Research Associate



a.rago Website




429Huxley BuildingSouth Kensington Campus






Delaney B, Dominguez J, Prociuk D, et al., 2023, ROAD2H: development and evaluation of an open-source explainable AI approach for managing co-morbidity and clinical guidelines, Learning Health Systems, ISSN:2379-6146

Toni F, Rago A, Cyras K, 2023, Forecasting with jury-based probabilistic argumentation, Journal of Applied Non Classical Logics, ISSN:1166-3081


Jiang J, Lan J, Leofante F, et al., Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation, The 15th Asian Conference on Machine Learning

Rago A, Li H, Toni F, 2023, Interactive explanations by conflict resolution via argumentative exchanges, 20th International Conference on Principles of Knowledge Representation and Reasoning (KR2023), IJCAI Organization, Pages:582-592, ISSN:2334-1033

Jiang J, Leofante F, Rago A, et al., 2023, Formalising the robustness of counterfactual explanations for neural networks, 37th AAAI Conference on Artificial Intelligence (AAAI 2023), Association for the Advancement of Artificial Intelligence, Pages:14901-14909, ISSN:2374-3468

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