Dr Federico Cerutti

2026

• Cotti, L. et al., 2026. OntoLogX: Ontology‐guided knowledge graph extraction from cybersecurity logs with large language models. Advanced Intelligent Systems 8 (6) e202501381. (10.1002/aisy.202501381)

2024

• Gizem, P. , Bleil De Souza, C. and Cerutti, F. 2024. Scrutinising community-held knowledge transfer into World heritage site management plans: a multidisciplinary method. Journal of Cultural Heritage Management and Sustainable Development 14 (6), pp.874-892. (10.1108/JCHMSD-12-2021-0216)
• Parać, R. et al., 2024. Learning robust reward machines from noisy labels. Presented at: 21st International Conference on Principles of Knowledge Representation and Reasoning Hanoi, Vietnam 2-8 November 2024. Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning. , pp.909-919. (10.24963/kr.2024/85)
• Briseno, J. d. G. et al., 2024. TeamCollab: A framework for collaborative perception-cognition-communication-action. Presented at: 27th International Conference on Information Fusion (FUSION) Venice, Italy 08-11 July 2024. 2024 27th International Conference on Information Fusion (FUSION). IEEE. , pp.1-8. (10.23919/fusion59988.2024.10706435)

2023

• Parlak, G. et al., 2023. Audit design: Know-how to monitor community knowledge transfer in World Heritage management systems. Sketch: Journal of City and Regional Planning 05 (01), pp.25-43. (10.5281/zenodo.8204433)
• Roig Vilamala, M. et al. 2023. DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings. Expert Systems with Applications 215 119376. (10.1016/j.eswa.2022.119376)
• Toniolo, A. et al., 2023. Human-machine collaboration in intelligence analysis: An expert evaluation. Intelligent Systems with Applications 17 200151. (10.1016/j.iswa.2022.200151)

2022

• Cerutti, F. et al. 2022. Looking for criminal intents in javascript obfuscated code. Procedia Computer Science 207 , pp.867-876. (10.1016/j.procs.2022.09.142)
• Baroni, P. , Cerutti, F. and Giacomin, M. 2022. A generalized notion of consistency with applications to formal argumentation. In: Toni, et al., Computational Models of Argument. Vol. 353, Frontiers in Artificial Intelligence and Applications IOS Press. , pp.56-67. (10.3233/FAIA220141)

2021

• Cerutti, F. et al. 2021. Empirical cognitive studies about formal argumentation. In: Gobbay, D. et al., Handbook of Formal Argumentation, Volume 2. Vol. 2, College Publications. , pp.851.
• Vente, S. et al., 2021. Increasing negotiation performance at the edge of the network. Presented at: EUMAS 2020 : 17th European Conference on Multi-Agent Systems Online 22-23 April 2020. Published in: Bassiliades, N. , Chalkiadakis, G. and De Jonge, D. eds. Multi-Agent Systems and Agreement Technologies: 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Thessaloniki, Greece, September 14-15, 2020, Revised Selected Papers. Lecture Notes in Computer Science Springer. , pp.351-365. (10.1007/978-3-030-66412-1_22)

2019

• Cerutti, F. , Giacomin, M. and Vallati, M. 2019. How we designed winning algorithms for abstract argumentation and which insight we attained. Artificial Intelligence 276 , pp.1-40.
• Vilamala, M. R. et al., 2019. A pilot study on detecting violence in videos fusing proxy models. Presented at: 22nd International Conference on Information Fusion Ottawa, Canada 2-5 July 2019. 2019 22th International Conference on Information Fusion (FUSION). IEEE(10.23919/FUSION43075.2019.9011329)
• Cerutti, F. et al. 2019. Probabilistic logic programming with beta-distributed random variables. Presented at: AAAI-19: 33rd AAAI Conference on Artificial Intelligence Honolulu, HI, USA 27 January - 1 February 2019. Proceedings of the AAAI Conference on Artificial Intelligence. AAAI Press. , pp.7769-7776. (10.1609/aaai.v33i01.33017769)
• Cerutti, F. and Thimm, M. 2019. A general approach to reasoning with probabilities. International Journal of Approximate Reasoning 111 , pp.35-50. (10.1016/j.ijar.2019.05.003)
• Vallati, M. , Cerutti, F. and Giacomin, M. 2019. Predictive models and abstract argumentation: the case of high-complexity semantics. Knowledge Engineering Review 34 e6. (10.1017/S0269888918000036)
• Aydin, G. , Bleil De Souza, C. and Cerutti, F. 2019. Assessing the transition from traditional to participatory heritage management in Turkey. Presented at: 2019 AESOP Annual Congress Venice, Italy 9-13 July 2019. AESOP 2019 Conference - Book of Papers. Università Iuav di Venezia. , pp.21-34.

2018

• Cerutti, F. and Thimm, M. 2018. A general approach to reasoning with probabilities (Extended Abstract). Presented at: KR 2018: 16th International Conference on Principles of Knowledge Representation and Reasoning Tempe, AZ, USA 27 October - 2 November 2018.
• Booth, R. and Cerutti, F. 2018. Preface. Argument and Computation 10 (1), pp.1-3. (10.3233/aac-181001)
• Cerutti, F. et al. 2018. CISpaces.org: from fact extraction to report generation. Presented at: COMMA 2018: 7th International Conference on Computational Models of Argument Warsaw, Poland 12-14 September 2018. Proceedings of COMMA 2018.Computational Models of Argument. Vol. 305.Frontiers in Artificial Intelligence and Applications IOS Press. , pp.269 - 280. (10.3233/978-1-61499-906-5-269)
• Cerutti, F. et al. 2018. Learning and reasoning in complex coalition information environments: a critical analysis. Presented at: Fusion 2018: 21st International Conference on Information Fusion Cambridge, UK 10-13 July 2018. Proceedings of the 21st International Conference on Information Fusion. IEEE. , pp.1-8. (10.23919/ICIF.2018.8455458)
• Cerutti, F. and Pearson, G. 2018. Supporting scientific enquiry with uncertain sources. Presented at: Fusion 2018: 21st International Conference on Information Fusion Cambridge, UK 10-13 July 2018. Proceedings of the 21st International Conference on Information Fusion. IEEE. , pp.1-8. (10.23919/ICIF.2018.8455649)
• Braines, D. et al. 2018. Subjective Bayesian Networks and human-in-the-loop situational understanding. Presented at: GKR 2017: 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning Melbourne, VIC, Australia 21 August 2017. Published in: Croitoru, M. et al., Graph Structures for Knowledge Representation and Reasoning: 5th International Workshop, GKR 2017, Melbourne, VIC, Australia, August 21, 2017, Revised Selected Papers. Lecture Notes in Computer Science Springer. , pp.29-53. (10.1007/978-3-319-78102-0_2)
• McDermott Rees, Y. and Cerutti, F. 2018. Proposed Amicus Curiae observations for the Karadžić Judgment. United Nations Mechanism for International Criminal Tribunals.
• Cerutti, F. , Vallati, M. and Giacomin, M. 2018. On the impact of configuration on abstract argumentation automated reasoning. International Journal of Approximate Reasoning 92 , pp.120-138. (10.1016/j.ijar.2017.10.002)
• Abaho, M. et al., 2018. Text annotation using textual semantic similarity and term-frequency (Twitter). Presented at: European Conference on Information Systems 2018 Portsmouth, UK 23-28 June 2018. Research Papers. AIS Electronic Library (AISeL). , pp.205.
• Cerutti, F. , Norman, T. and Toniolo, A. 2018. A tool to highlight weaknesses and strengthen cases: CISpaces.org. Presented at: JURIX 2018: The 31st International Conference on Legal Knowledge and Information Systems Groningen, The Netherlands 12-14 December 2018. Published in: Palmirani, M. ed. Vol. 313.IOS Press. , pp.186-189. (10.3233/978-1-61499-935-5-186)
• Kaplan, L. et al., 2018. Uncertainty aware AI ML: Why and how [Pre print].
• Thimm, M. , Cerutti, F. and Rienstra, T. 2018. Probabilistic graded semantics. Presented at: COMMA 2018: 7th International Conference on Computational Models of Argument Warsaw, Poland 12-14 September 2018. Proceedings of COMMA 2018: 7th International Conference on Computational Models of Argument, Warsaw, Poland, 12-14 September 2018. Vol. 305.Frontiers in Artificial Intelligence and Applications IOS: , pp.369 - 380. (10.3233/978-1-61499-906-5-369)

2017

• Cerutti, F. , Vallati, M. and Giacomin, M. 2017. An efficient java-based solver for abstract argumentation frameworks: jArgSemSAT. International Journal on Artificial Intelligence Tools 26 (2) 1750002. (10.1142/S0218213017500026)
• Braines, D. et al. 2017. Human-in-the-loop situational understanding via subjective Bayesian networks. Presented at: The 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning (GKR 2017) Melbourne, Australia 19-25 August 2017.
• Carpanini, O. and Cerutti, F. 2017. Towards an ontology of trust for situational understanding. Presented at: 17th UK Workshop on Computational Intelligence (UKCI-2017) Cardiff, UK 6-8 September 2017.
• Cerutti, F. et al. 2017. Foundations of implementations for formal argumentation. In: Baroni, P. et al., The IfCoLog Journal of Logics and their Applications; Special Issue Formal Argumentation. Vol. 4, Vol. 8.College Publications. , pp.2623-2705.
• Chakraborty, S. et al., 2017. Interpretability of deep learning models: a survey of results. Presented at: IEEE Smart World Congress 2017 Workshop: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations San Francisco, CA, USA 7-8 August 2017.
• Preece, A. D. et al. 2017. Cognitive computing for coalition situational understanding. Presented at: IEEE Smart World Congress 2017 Workshop: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations San Francisco, CA, USA 7-8 August 2017.
• Vallati, M. , Cerutti, F. and Giacomin, M. 2017. On the combination of argumentation solvers into parallel portfolios. Presented at: AI’17: The 30th Australasian Joint Conference on Artificial Intelligence Melbourne, Australia 19-20 August 2017. Published in: Peng, W. , Alahakoon, D. and Li, X. eds. AI 2017: Advances in Artificial Intelligence: 30th Australasian Joint Conference, Melbourne, VIC, Australia, August 19–20, 2017, Proceedings. Vol. 10400.Lecture Notes in Computer Science Springer. , pp.315-327. (10.1007/978-3-319-63004-5_2)

2016

• Arunkumar, S. et al., 2016. Privacy enforcement through policy extension. Presented at: MILCOM 2016 - 2016 IEEE Military Communications Conference Baltimore, MD, USA 1-3 November 2016. MILCOM 2016 - 2016 IEEE Military Communications Conference. Piscataway, NJ: IEEE(10.1109/MILCOM.2016.7795476)
• Cerutti, F. et al. 2016. A pilot study in using argumentation frameworks for online debates. Presented at: First International Workshop on Systems and Algorithms for Formal Argumentation (SAFA) Potsdam, Germany 13 September 2016. Published in: Timm, M. et al., Proceedings of the First International Workshop on Systems and Algorithms for Formal Argumentation (SAFA) co-located with the 6th International Conference on Computational Models of Argument (COMMA 2016). Vol. 1672.CEUR. , pp.63-74.
• Cerutti, F. , Giacomin, M. and Vallati, M. 2016. Generating structured argumentation frameworks: AFBenchGen2. Presented at: The 6th International Conference on Computational Models of Argument Potsdam, Germany 12-16 September 2016..
• Cerutti, F. , Vallati, M. and Giacomin, M. 2016. Efficient and off-the-shelf solver: jArgSemSAT. Presented at: The 6th International Conference on Computational Models of Argument Potsdam, Germany 13-16 September 2016.
• Cerutti, F. , Vallati, M. and Giacomin, M. 2016. jArgSemSAT: an efficient off-the-shelf solver for abstract argumentation frameworks. Presented at: 15th International Conference on Principles of Knowledge Representation and Reasoning Cape Town, South Africa 25-29 April 2016.
• Cerutti, F. , Vallati, M. and Giacomin, M. 2016. On the effectiveness of automated configuration in abstract argumentation reasoning. Presented at: The COMMA 2016: 6th International Conference on Computational Models of Argument Potsdam, Germany 12-16 September 2016.
• Cerutti, F. , Vallati, M. and Giacomin, M. 2016. Where are we now? State of the art and future trends of solvers for hard argumentation problems. Presented at: The 6th International Conference on Computational Models of Argument Potsdam, Germany 12-16 September 2016.
• Faber, W. et al., 2016. Solving set optimization problems by cardinality optimization with an application to argumentation. Presented at: ECAI 2016: 22nd European Conference on Artificial Intelligence The Hague, The Netherlands 29 Aug - 2 Sept 2016.
• Kido, H. and Cerutti, F. 2016. Formal reconciliatory dialogue based on shift from forward to backward deliberation. Argument and Computation 6 (3), pp.292-309. (10.1080/19462166.2016.1145139)
• Thimm, M. et al., 2016. Summary report of The First International Competition on Computational Models of Argumentation. Ai Magazine 37 (1), pp.102-104. (10.1609/aimag.v37i1.2640)

2015

• Cerutti, F. et al. 2015. Subjective logic operators in trust assessment: an empirical study. Information Systems Frontiers 17 (4), pp.743-762. (10.1007/s10796-014-9522-5)
• Tang, Y. et al., 2015. Reasoning about the impacts of information sharing. Information Systems Frontiers 17 , pp.725-742. (10.1007/s10796-014-9521-6)
• Wyner, A. et al., 2015. Senses of "argument" in instantiated argumentation frameworks. Argument and Computation 6 (1), pp.50-72. (10.1080/19462166.2014.1002535)
• Cerutti, F. , Burnett, C. and Oren, N. 2015. Representative agents and the contract negotiation cold start problem. Presented at: International Workshop on Coordination, Organisation, Institutions and Norms in Multi-Agent Systems, COIN@IJCAI2015 Buenos Aires, Argentina 25-31 July 2015.
• Cerutti, F. et al. 2015. Exploiting parallelism for hard problems in abstract argumentation. Presented at: Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15) Austin, TX, USA 25-30 Jan 2015.
• Cerutti, F. , Vallati, M. and Giacomin, M. 2015. ArgSemSAT-1.0: exploiting SAT solvers in abstract argumentation. Presented at: System Descriptions of the First International Competition on Computational Models of Argumentation (ICCMA'15) Online Jan-Jun 2015. Published in: Thimm, M. and Villata, S. eds. System Descriptions of the First International Competition on Computational Models of Argumentation (ICCMA'15). ArXiv Cornell University Press. , pp.1-4.
• Toniolo, A. et al., 2015. Supporting reasoning with different types of evidence in intelligence analysis. Presented at: 4th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015) Istanbul, Turkey 4-8 May 2015. Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), Bordini, Elkind, Weiss, Yolum (eds.), May 4{8, 2015, Istanbul, Turkey.
• Vallati, M. et al., 2015. prefMaxSAT: exploiting MaxSAT for enumerating preferred extensions. Presented at: System Descriptions of the First International Competition on Computational Models of Argumentation (ICCMA'15) Online Jan-Jun 2015. Published in: Thimm, M. and Villata, S. eds. System Descriptions of the First International Competition on Computational Models of Argumentation (ICCMA'15). ArXiv Cornell University Press. , pp.1-4.

2014

• Baroni, P. et al., 2014. On the input/output behavior of argumentation frameworks. Artificial Intelligence 217 , pp.144-197. (10.1016/j.artint.2014.08.004)
• Cerutti, F. et al. 2014. A SCC recursive meta-algorithm for computing preferred labellings in abstract argumentation. Presented at: 14th International conference on Principles of Knowledge Representation and Reasoning (KR-2014) Vienna, Austria 20-24 July 2014. Proceedings of the Fourteenth International Conference on Principles of Knowledge Representation and Reasoning. AAAI

2013

• Baroni, P. et al., 2013. Automata for infinite argumentation structures. Artificial Intelligence 203 , pp.104-150. (10.1016/j.artint.2013.05.002)

2011

• Baroni, P. et al., 2011. AFRA: Argumentation framework with recursive attacks. International Journal of Approximate Reasoning 52 (1), pp.19-37. (10.1016/j.ijar.2010.05.004)

• Faber, W. et al., null. Solving set optimization problems by cardinality optimization via weak constraints with an application to argumentation. Presented at: Workshop on Trends and Applications of Answer Set Programming Klagenfurt, Austria 26 September 2016.