Publicaties Nationaal Politielab AI

2022

D. Odekerken, F. Bex, A. Borg & B. Testerink (2022) Approximating Stability for Applied Argument-based Inquiry. Intelligent Systems with Applications. PDF

D. Craandijk & F. Bex (2022) EGNN: A Deep Reinforcement Learning Architecture for Enforcement Heuristics. Proceedings of the ninth International Conference on Computational Models of Argument (COMMA’22). PDF

A. Borg & D. Odekerken (2022) PyArg for Solving and Explaining Argumentation in Python: Demonstration. Proceedings of the ninth International Conference on Computational Models of Argument (COMMA’22). PDF GitHub Visualization

D. Odekerken, A. Borg & F. Bex (2022) Stability and Relevance in Incomplete Argumentation Frameworks. Proceedings of the ninth International Conference on Computational Models of Argument (COMMA’22). PDF

J. Peters, F. Bex & H. Prakken (2022) Justifications Derived from Inconsistent Case Bases Using Authoritativeness. Proceedings of the 1st International Workshop on Argumentation for eXplainable AI (ArgXAI, co-located with COMMA ’22). PDF

A. Borg & F. Bex (2022) Contrastive Explanations for Argumentation-Based Conclusions. Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022). PDF

D. Craandijk & F. Bex (2022) Enforcement Heuristics for Argumentation with Deep Reinforcement Learning (AAAI 2022). PDF

R. Wieten, F. Bex, H. Prakken & S. Renooij (2022) Deductive and abductive argumentation based on information graphs. Argument & Computation. PDF

2021

A. Borg & F. Bex (2021) Explaining Arguments at the Dutch National Police. AI Approaches to the Complexity of Legal Systems XI-XII (AICOL 2021). PDF

M. Robeer, F. Bex & A. Feelders (2021) Generating Realistic Natural Language Counterfactuals. Findings of the Association for Computational Linguistics: EMNLP 2021. PDF

A. Borg & F. Bex (2021) Enforcing Sets of Formulas in Structured Argumentation. To appear in: Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning (KR 2021). PDF, including proofs

A. Borg & F. Bex (2021) Necessary and Sufficient Explanations for Argumentation-Based Conclusions. Proceedings of the 16th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2021). PDF, including proofs

R. Wieten, F. Bex, H. Prakken & S. Renooij (2021) Information graphs and their use for Bayesian network graph construction. International Journal of Approximate Reasoning. PDF

A. Borg & F. Bex (2021) A Basic Framework for Explanations in Argumentation. IEEE Intelligent Systems. PDF Appendix

E. Herrewijnen, D. Nguyen, J. Mense & F. Bex (2021) Machine-annotated Rationales: Faithfully Explaining Text Classification. Proceedings for the Explainable Agency in AI Workshop at the 35th AAAI Conference on Artificial Intelligence. PDF

2020

J. Peters & F. Bex (2020) Towards a Story Scheme Ontology of Terrorist MOs. Proceedings of the 2020 IEEE International Conference on Intelligence and Security Informatics (ISI 2020). PDF

D. Odekerken & F. Bex (2020) Towards transparent human-in-the-loop classification of fraudulent web shops. International Conference on Legal Knowledge and Information Systems (JURIX 2020). PDF

D. Odekerken, A. Borg & F. Bex (2020) Estimating Stability for Efficient Argument-Based Inquiry. International Conference on Computational Models of Argument (COMMA 2020). PDF Extra materiaal (inclusief bewijzen en demo)

R. Wieten, F. Bex, H. Prakken & Silja Renooij (2020) Deductive and Abductive Reasoning with Causal and Evidential Information. International Conference on Computational Models of Argument (COMMA 2020). PDF

D. Craandijk & F. Bex (2020) AGNN: A Deep Learning Architecture for Abstract Argumentation Semantics. International Conference on Computational Models of Argument (COMMA 2020). PDF

D. Craandijk & F. Bex (2020) Deep Learning for Abstract Argumentation Semantics. International Joint Conference on Artificial Intelligence (IJCAI 2020). PDF

2019

M. van den Hurk & F. Dignum (2019) Towards fundamental models of radicalization. Social Simulation Conference (SSC 2019). PDF

N. Eijsvogel & M. Schraagen (2019) Revision Classification for Current Events in Dutch Wikipedia using a Long Short-term Memory Network. Benelux Conference on Machine Learning (BENELEARN). PDF

R. Wieten, F. Bex, H. Prakken, & S. Renooij. (2019) Constructing Bayesian network graphs from labeled arguments. 15th European Conference on European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2019). PDF

B. Testerink, D. Odekerken & F. Bex (2019) A Method for Efficient Argument-based Inquiry. 13th International Conference on Flexible Query Answering Systems (FQAS 2019). PDF

R. Wieten, F. Bex, H. Prakken, & S. Renooij. (2019) Supporting Discussions About Forensic Bayesian Networks. 17th International Conference on Artificial Intelligence and Law (ICAIL 2019). PDF

B. Testerink, D. Odekerken & F. Bex (2019) AI-assisted message processing for the Netherlands National Police ICAIL 2019 Workshop on AI and the Administrative State (AIAS 2019), CEUR workshop proceedings. PDF

M. Schraagen & F. Bex (2019) Extraction of semantic relations in noisy user-generated law enforcement data 13th IEEE International Conference
on Semantic Computing
. PDF

M. Schraagen, B. Testerink, D. Odekerken & F. Bex (2019), Argumentation-driven information extraction for online crime reports CIKM 2018 Workshops, CEUR workshop proceedings. PDF

2018

R. Wieten, F. Bex, H. Prakken, & S. Renooij. (2018) Exploiting causality in constructing Bayesian network graphs from legal arguments. 21st International Conference on Legal Knowledge and Information Systems (JURIX 2018). PDF

2017

W. Kos, M. Schraagen, M. Brinkhuis & F. Bex (2017) Classification in a Skewed Online Trade Fraud Complaint Corpus. Preproceedings of The 29th Benelux Conference on Artificial Intelligence (BNAIC 2017). PDF

B. Testerink & F. Bex (2017) Specifications for peer-to-peer argumentation dialogues. In Proceedings of the 20th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2017). PDF

B. Testerink & F. Bex (2017) Developing Argumentation Dialogues for Open Multi-Agent Systems. Demo at the 20th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2017). PDF

M. Schraagen, M. Brinkhuis & F. Bex (2017) Evaluation of Named Entity Recognition in Dutch online criminal complaints. Computational Linguistics in the Netherlands Journal. PDF

2016

F. Bex, B. Testerink & J. Peters (2016) A.I. for Online Criminal Complaints: From Natural Dialogues to Structured Scenarios. ECAI 2016 workshop on Artificial Intelligence for Justice. PDF