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ORCIDAntonio Rago 0001
Person information
- affiliation: Imperial College London, UK
Other persons with the same name
- Antonio Rago 0002
![[0000-0003-1192-5538]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1192-5538")
— University of Plymouth, Plymouth, UK
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2020 – today
- 2025
[j10]Charles Dickie, Stefan Lauren, Francesco Belardinelli, Antonio Rago, Francesca Toni:
Aggregating bipolar opinions through bipolar assumption-based argumentation. Auton. Agents Multi Agent Syst. 39(1): 4 (2025)- [j9]Antonio Rago, Oana Cocarascu, Joel Oksanen, Francesca Toni:
Argumentative review aggregation and dialogical explanations. Artif. Intell. 340: 104291 (2025) - [j8]Xuehao Zhai, Junqi Jiang, Adam Dejl, Antonio Rago, Fangce Guo, Francesca Toni, Aruna Sivakumar:
Heterogeneous graph neural networks with post-hoc explanations for multi-modal and explainable land use inference. Inf. Fusion 120: 103057 (2025) - [c37]Gabriel Freedman, Adam Dejl, Deniz Gorur, Xiang Yin, Antonio Rago, Francesca Toni:
Argumentative Large Language Models for Explainable and Contestable Claim Verification. AAAI 2025: 14930-14939 - [c36]Deniz Gorur, Antonio Rago, Francesca Toni:
Can Large Language Models perform Relation-based Argument Mining? COLING 2025: 8518-8534 - [c35]Jamie Todd, Junqi Jiang, Aaron Russo, Steffen Winkler, Stuart Sale, Joseph McMillan, Antonio Rago:
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy. SAC 2025: 1082-1089 - [c34]Devin Thomas, Junqi Jiang, Avinash Kori, Aaron Russo, Steffen Winkler, Stuart Sale, Joseph McMillan, Francesco Belardinelli, Antonio Rago:
Explainable Reinforcement Learning for Formula One Race Strategy. SAC 2025: 1090-1097 - [i22]Jamie Todd, Junqi Jiang, Aaron Russo, Steffen Winkler, Stuart Sale, Joseph McMillan, Antonio Rago:
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy. CoRR abs/2501.04067 (2025) - [i21]Devin Thomas, Junqi Jiang, Avinash Kori, Aaron Russo, Steffen Winkler, Stuart Sale, Joseph McMillan, Francesco Belardinelli, Antonio Rago:
Explainable Reinforcement Learning for Formula One Race Strategy. CoRR abs/2501.04068 (2025) - [i20]Avinash Kori, Antonio Rago, Francesca Toni:
Free Argumentative Exchanges for Explaining Image Classifiers. CoRR abs/2502.12995 (2025) - 2024
- [j7]Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni:
Interval abstractions for robust counterfactual explanations. Artif. Intell. 336: 104218 (2024) - [c33]Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni:
Recourse under Model Multiplicity via Argumentative Ensembling. AAMAS 2024: 954-963 - [c32]Beauty Oluokun, Guilherme Paulino-Passos, Antonio Rago, Francesca Toni:
Predicting Human Judgement in Online Debates with Argumentation. CMNA@COMMA 2024: 70-80 - [c31]Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni:
Robust Counterfactual Explanations in Machine Learning: A Survey. IJCAI 2024: 8086-8094 - [c30]Antonio Rago:
A Little of That Human Touch: Achieving Human-Centric Explainable AI via Argumentation. IJCAI 2024: 8565-8570 - [c29]Antonio Rago, Maria Vanina Martinez:
Advancing Interactive Explainable AI via Belief Change Theory. KR 2024 - [c28]Francesco Leofante, Hamed Ayoobi, Adam Dejl, Gabriel Freedman, Deniz Gorur, Junqi Jiang, Guilherme Paulino-Passos, Antonio Rago, Anna Rapberger, Fabrizio Russo, Xiang Yin, Dekai Zhang, Francesca Toni:
Contestable AI Needs Computational Argumentation. KR 2024 - [c27]Elisa Battaglia, Pietro Baroni, Antonio Rago, Francesca Toni:
Integrating User Preferences into Gradual Bipolar Argumentation for Personalised Decision Support. SUM 2024: 14-28 - [e3]Timotheus Kampik, Kristijonas Cyras, Antonio Rago, Oana Cocarascu:
Proceedings of the 2nd International Workshop on Argumentation for eXplainable AI co-located with the 10th International Conference on Computational Models of Argument (COMMA 2024), Hagen, Germany, September 16, 2024. CEUR Workshop Proceedings 3768, CEUR-WS.org 2024 [contents] - [i19]Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni:
Robust Counterfactual Explanations in Machine Learning: A Survey. CoRR abs/2402.01928 (2024) - [i18]Deniz Gorur, Antonio Rago, Francesca Toni:
Can Large Language Models perform Relation-based Argument Mining? CoRR abs/2402.11243 (2024) - [i17]Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni:
Interval Abstractions for Robust Counterfactual Explanations. CoRR abs/2404.13736 (2024) - [i16]Gabriel Freedman, Adam Dejl, Deniz Gorur, Xiang Yin, Antonio Rago, Francesca Toni:
Argumentative Large Language Models for Explainable and Contestable Decision-Making. CoRR abs/2405.02079 (2024) - [i15]Francesco Leofante, Hamed Ayoobi, Adam Dejl, Gabriel Freedman, Deniz Gorur, Junqi Jiang, Guilherme Paulino-Passos, Antonio Rago, Anna Rapberger, Fabrizio Russo, Xiang Yin, Dekai Zhang, Francesca Toni:
Contestable AI needs Computational Argumentation. CoRR abs/2405.10729 (2024) - [i14]Xuehao Zhai, Junqi Jiang, Adam Dejl, Antonio Rago, Fangce Guo, Francesca Toni, Aruna Sivakumar:
Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference. CoRR abs/2406.13724 (2024) - [i13]Antonio Rago, Maria Vanina Martinez:
Advancing Interactive Explainable AI via Belief Change Theory. CoRR abs/2408.06875 (2024) - [i12]Antonio Rago, Bence Palfi, Purin Sukpanichnant, Hannibal Nabli, Kavyesh Vivek, Olga Kostopoulou, James Kinross, Francesca Toni:
Exploring the Effect of Explanation Content and Format on User Comprehension and Trust. CoRR abs/2408.17401 (2024) - [i11]Antonio Rago, Stylianos Loukas Vasileiou, Francesca Toni, Tran Cao Son, William Yeoh:
A Methodology for Gradual Semantics for Structured Argumentation under Incomplete Information. CoRR abs/2410.22209 (2024) - [i10]Antonio Rago, Kristijonas Cyras, Jack Mumford, Oana Cocarascu:
Argumentation and Machine Learning. CoRR abs/2410.23724 (2024) - 2023
- [j6]Antonio Rago, Fabrizio Russo, Emanuele Albini, Francesca Toni, Pietro Baroni:
Explaining Classifiers' Outputs with Causal Models and Argumentation. FLAP 10(3): 421-509 (2023) - [j5]Emanuele Albini, Antonio Rago, Pietro Baroni, Francesca Toni:
Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers. Frontiers Artif. Intell. 6 (2023) - [j4]Francesca Toni, Antonio Rago, Kristijonas Cyras:
Forecasting with jury-based probabilistic argumentation. J. Appl. Non Class. Logics 33(3-4): 224-243 (2023) - [c26]Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni:
Formalising the Robustness of Counterfactual Explanations for Neural Networks. AAAI 2023: 14901-14909 - [c25]Junqi Jiang, Jianglin Lan, Francesco Leofante, Antonio Rago, Francesca Toni:
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation. ACML 2023: 582-597 - [c24]Deniz Gorur, Antonio Rago, Francesca Toni:
ArguCast: A System for Online Multi-Forecasting with Gradual Argumentation. Arg&App@KR 2023: 40-51 - [c23]Antonio Rago, Hengzhi Li, Francesca Toni:
Interactive Explanations by Conflict Resolution via Argumentative Exchanges. KR 2023: 582-592 - [e2]Oana Cocarascu, Sylvie Doutre, Jean-Guy Mailly, Antonio Rago:
Proceedings of the First International Workshop on Argumentation and Applications co-located with 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023), Rhodes, Greece, September 2-8, 2023. CEUR Workshop Proceedings 3472, CEUR-WS.org 2023 [contents] - [i9]Antonio Rago, Hengzhi Li, Francesca Toni:
Interactive Explanations by Conflict Resolution via Argumentative Exchanges. CoRR abs/2303.15022 (2023) - [i8]Junqi Jiang, Jianglin Lan, Francesco Leofante, Antonio Rago, Francesca Toni:
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation. CoRR abs/2309.12545 (2023) - [i7]Junqi Jiang, Antonio Rago, Francesco Leofante, Francesca Toni:
Recourse under Model Multiplicity via Argumentative Ensembling (Technical Report). CoRR abs/2312.15097 (2023) - 2022
- [c22]Benjamin Irwin, Antonio Rago, Francesca Toni:
Argumentative Forecasting. AAMAS 2022: 1636-1638 - [c21]Antonio Rago, Pietro Baroni, Francesca Toni:
Explaining Causal Models with Argumentation: the Case of Bi-variate Reinforcement. KR 2022 - [c20]Benjamin Irwin, Antonio Rago, Francesca Toni:
Forecasting Argumentation Frameworks. KR 2022 - [c19]Emanuele Albini, Antonio Rago, Pietro Baroni, Francesca Toni:
Descriptive Accuracy in Explanations: The Case of Probabilistic Classifiers. SUM 2022: 279-294 - [p1]Oana Cocarascu, Kristijonas Cyras, Antonio Rago, Francesca Toni:
Mining Property-driven Graphical Explanations for Data-centric AI from Argumentation Frameworks. Human-Like Machine Intelligence 2022: 93-113 - [e1]Kristijonas Cyras, Timotheus Kampik, Oana Cocarascu, Antonio Rago:
1st International Workshop on Argumentation for eXplainable AI co-located with 9th International Conference on Computational Models of Argument (COMMA 2022), Cardiff, Wales, September 12, 2022. CEUR Workshop Proceedings 3209, CEUR-WS.org 2022 [contents] - [i6]Antonio Rago, Pietro Baroni, Francesca Toni:
Explaining Causal Models with Argumentation: the Case of Bi-variate Reinforcement. CoRR abs/2205.11589 (2022) - [i5]Benjamin Irwin, Antonio Rago, Francesca Toni:
Forecasting Argumentation Frameworks. CoRR abs/2205.11590 (2022) - [i4]Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni:
Formalising the Robustness of Counterfactual Explanations for Neural Networks. CoRR abs/2208.14878 (2022) - 2021
- [j3]Antonio Rago, Oana Cocarascu, Christos Bechlivanidis, David A. Lagnado, Francesca Toni:
Argumentative explanations for interactive recommendations. Artif. Intell. 296: 103506 (2021) - [j2]Emanuele Albini, Pietro Baroni, Antonio Rago, Francesca Toni:
Interpreting and explaining pagerank through argumentation semantics. Intelligenza Artificiale 15(1): 17-34 (2021) - [c18]Antonio Rago, Fabrizio Russo, Emanuele Albini, Pietro Baroni, Francesca Toni:
Forging Argumentative Explanations from Causal Models. AI³@AI*IA 2021 - [c17]Purin Sukpanichnant, Antonio Rago, Piyawat Lertvittayakumjorn, Francesca Toni:
Neural QBAFs: Explaining Neural Networks Under LRP-Based Argumentation Frameworks. AI*IA 2021: 429-444 - [c16]Adam Dejl, Chloe He, Pranav Mangal, Hasan Mohsin, Bogdan Surdu, Eduard Voinea, Emanuele Albini, Piyawat Lertvittayakumjorn, Antonio Rago, Francesca Toni:
Argflow: A Toolkit for Deep Argumentative Explanations for Neural Networks. AAMAS 2021: 1761-1763 - [c15]Kristijonas Cyras, Antonio Rago, Emanuele Albini, Pietro Baroni, Francesca Toni:
Argumentative XAI: A Survey. IJCAI 2021: 4392-4399 - [c14]Emanuele Albini, Antonio Rago, Pietro Baroni, Francesca Toni:
Influence-Driven Explanations for Bayesian Network Classifiers. PRICAI (1) 2021: 88-100 - [i3]Kristijonas Cyras, Antonio Rago, Emanuele Albini, Pietro Baroni, Francesca Toni:
Argumentative XAI: A Survey. CoRR abs/2105.11266 (2021) - 2020
- [c13]Emanuele Albini, Pietro Baroni, Antonio Rago, Francesca Toni:
PageRank as an Argumentation Semantics. COMMA 2020: 55-66 - [c12]Emanuele Albini, Antonio Rago, Pietro Baroni, Francesca Toni:
Relation-Based Counterfactual Explanations for Bayesian Network Classifiers. IJCAI 2020: 451-457 - [c11]Antonio Rago, Oana Cocarascu, Christos Bechlivanidis, Francesca Toni:
Argumentation as a Framework for Interactive Explanations for Recommendations. KR 2020: 805-815 - [c10]Oana Cocarascu, Antonio Rago, Francesca Toni:
Explanation via Machine Arguing. RW 2020: 53-84 - [i2]Emanuele Albini, Piyawat Lertvittayakumjorn, Antonio Rago, Francesca Toni:
DAX: Deep Argumentative eXplanation for Neural Networks. CoRR abs/2012.05766 (2020) - [i1]Antonio Rago, Emanuele Albini, Pietro Baroni, Francesca Toni:
Influence-Driven Explanations for Bayesian Network Classifiers. CoRR abs/2012.05773 (2020)
2010 – 2019
- 2019
- [j1]Pietro Baroni, Antonio Rago, Francesca Toni:
From fine-grained properties to broad principles for gradual argumentation: A principled spectrum. Int. J. Approx. Reason. 105: 252-286 (2019) - [c9]Oana Cocarascu, Antonio Rago, Francesca Toni:
Extracting Dialogical Explanations for Review Aggregations with Argumentative Dialogical Agents. AAMAS 2019: 1261-1269 - 2018
- [b1]Antonio Rago:
Gradual evaluation in argumentation frameworks: methods, properties and applications. Imperial College London, UK, 2018 - [c8]Pietro Baroni, Antonio Rago, Francesca Toni:
How Many Properties Do We Need for Gradual Argumentation? AAAI 2018: 1736-1743 - [c7]Pietro Baroni, Serena Borsato, Antonio Rago, Francesca Toni:
The "Games of Argumentation" Web Platform. COMMA 2018: 447-448 - [c6]Antonio Rago, Oana Cocarascu, Francesca Toni:
Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them. IJCAI 2018: 1949-1955 - [c5]Antonio Rago, Pietro Baroni, Francesca Toni:
On Instantiating Generalised Properties of Gradual Argumentation Frameworks. SUM 2018: 243-259 - 2017
- [c4]Antonio Rago, Francesca Toni:
Quantitative Argumentation Debates with Votes for Opinion Polling. PRIMA 2017: 369-385 - [c3]Pietro Baroni, Giulia Comini, Antonio Rago, Francesca Toni:
Abstract Games of Argumentation Strategy and Game-Theoretical Argument Strength. PRIMA 2017: 403-419 - 2016
- [c2]Antonio Rago, Kristijonas Cyras, Francesca Toni:
Adapting the DF-QuAD Algorithm to Bipolar Argumentation. SAFA@COMMA 2016: 34-39 - [c1]Antonio Rago, Francesca Toni, Marco Aurisicchio, Pietro Baroni:
Discontinuity-Free Decision Support with Quantitative Argumentation Debates. KR 2016: 63-73
Coauthor Index
[j10] [j9] [j8] [c37] [c36] [i20] [j7] [c33] [c32] [c31] [c28] [c27] [i19] [i18] [i17] [i16] [i15] [i14] [i12] [i11] [j6] [j5] [j4] [c26] [c25] [c24] [c23] [i9] [i8] [i7] [c22] [c21] [c20] [c19] [p1] [i6] [i5] [i4] [j3] [j2] [c18] [c17] [c16] [c15] [c14] [i3] [c13] [c12] [c11] [c10] [i2] [i1] [j1] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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