| 2026 | AAAI | Argumentative Debates for Transparent Bias Detection. | Hamed Ayoobi, Nico Potyka, Anna Rapberger, Francesca Toni |
| 2026 | KR | Contestability in Edge-Weighted Quantitative Bipolar Argumentation Frameworks. | Xiang Yin, Nico Potyka, Antonio Rago, Timotheus Kampik, Francesca Toni |
| 2025 | AAAI | ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation. | Hamed Ayoobi, Nico Potyka, Francesca Toni |
| 2025 | ECSQARU | Privacy-Preserving Inconsistency Measurement. | Carl Corea, Timotheus Kampik, Nico Potyka |
| 2025 | NAACL | Conformalized Answer Set Prediction for Knowledge Graph Embedding. | Yuqicheng Zhu, Nico Potyka, Jiarong Pan, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab |
| 2025 | NeSy | ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation. | Yuqicheng Zhu, Nico Potyka, Daniel Hernndez, Yuan He, Zifeng Ding, Bo Xiong, Dongzhuoran Zhou, Evgeny Kharlamov, Steffen Staab |
| 2024 | AAAI | Non-flat ABA Is an Instance of Bipolar Argumentation. | Markus Ulbricht, Nico Potyka, Anna Rapberger, Francesca Toni |
| 2024 | AAAI | Promoting Counterfactual Robustness through Diversity. | Francesco Leofante, Nico Potyka |
| 2024 | COMMA | Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks. | Xiang Yin, Nico Potyka, Francesca Toni |
| 2024 | COMMA | Argumentative Interpretable Image Classification. | Hamed Ayoobi, Nico Potyka, Francesca Toni |
| 2024 | COMMA | An Empirical Study of Quantitative Bipolar Argumentation Frameworks for Truth Discovery. | Nico Potyka, Richard Booth |
| 2024 | EMNLP | Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction. | Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab |
| 2024 | IJCAI | Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports. | Xiang Yin, Nico Potyka, Francesca Toni |
| 2024 | KR | CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks. | Xiang Yin, Nico Potyka, Francesca Toni |
| 2024 | KR | Balancing Open-Mindedness and Conservativeness in Quantitative Bipolar Argumentation (and How to Prove Semantical from Functional Properties). | Nico Potyka, Richard Booth |
| 2023 | AAAI | Explaining Random Forests Using Bipolar Argumentation and Markov Networks. | Nico Potyka, Xiang Yin, Francesca Toni |
| 2023 | ECAI | Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks. | Xiang Yin, Nico Potyka, Francesca Toni |
| 2023 | ECAI | SpArX: Sparse Argumentative Explanations for Neural Networks. | Hamed Ayoobi, Nico Potyka, Francesca Toni |
| 2022 | COMMA | Attractor - A Java Library for Gradual Bipolar Argumentation. | Nico Potyka |
| 2022 | COMMA | Learning Gradual Argumentation Frameworks using Meta-heuristics. | Nico Potyka, Mohamad Bazo, Jonathan Spieler, Steffen Staab |
| 2022 | COMMA | On the Tradeoff Between Correctness and Completeness in Argumentative Explainable AI. | Nico Potyka, Xiang Yin, Francesca Toni |
| 2022 | COMMA | Interpretable Machine Learning with Gradual Argumentation Frameworks. | Jonathan Spieler, Nico Potyka, Steffen Staab |
| 2021 | AAAI | Interpreting Neural Networks as Quantitative Argumentation Frameworks. | Nico Potyka |
| 2021 | ECSQARU | Generalizing Complete Semantics to Bipolar Argumentation Frameworks. | Nico Potyka |
| 2021 | ICLP | From Probabilistic Programming to Probabilistic Argumentation. | Nico Potyka |
| 2020 | ECAI | Abstract Argumentation with Markov Networks. | Nico Potyka |
| 2020 | KI | Foundations for Solving Classification Problems with Quantitative Abstract Argumentation. | Nico Potyka |
| 2020 | KR | Bipolar Abstract Argumentation with Dual Attacks and Supports. | Nico Potyka |
| 2019 | ECSQARU | Polynomial-Time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation. | Nico Potyka, Sylwia Polberg, Anthony Hunter |
| 2019 | KI | Extending Modular Semantics for Bipolar Weighted Argumentation (Extended Abstract). | Nico Potyka |
| 2018 | CADE | Measuring Disagreement among Knowledge Bases. | Nico Potyka |
| 2018 | KR | Updating Belief in Arguments in Epistemic Graphs. | Anthony Hunter, Sylwia Polberg, Nico Potyka |
| 2018 | KR | Continuous Dynamical Systems for Weighted Bipolar Argumentation. | Nico Potyka |
| 2017 | ECSQARU | Updating Probabilistic Epistemic States in Persuasion Dialogues. | Anthony Hunter, Nico Potyka |
| 2016 | IJCAI | Group Decision Making via Probabilistic Belief Merging. | Nico Potyka, Erman Acar, Matthias Thimm, Heiner Stuckenschmidt |
| 2015 | ECSQARU | Towards Lifted Inference Under Maximum Entropy for Probabilistic Relational FO-PCL Knowledge Bases. | Christoph Beierle, Nico Potyka, Josef Baudisch, Marc Finthammer |
| 2015 | IJCAI | Probabilistic Reasoning with Inconsistent Beliefs Using Inconsistency Measures. | Nico Potyka, Matthias Thimm |
| 2015 | KI | A Software System Using a SAT Solver for Reasoning Under Complete, Stable, Preferred, and Grounded Argumentation Semantics. | Christoph Beierle, Florian Brons, Nico Potyka |
| 2014 | ECAI | Consolidation of Probabilistic Knowledge Bases by Inconsistency Minimization. | Nico Potyka, Matthias Thimm |
| 2014 | KR | Linear Programs for Measuring Inconsistency in Probabilistic Logics. | Nico Potyka |
| 2013 | CBMS | Using probabilistic logic and the principle of maximum entropy for the analysis of clinical brain tumor data. | Julian Varghese, Christoph Beierle, Nico Potyka, Gabriele Kern-Isberner |
| 2013 | ECSQARU | A Case Study on the Application of Probabilistic Conditional Modelling and Reasoning to Clinical Patient Data in Neurosurgery. | Christoph Beierle, Marc Finthammer, Nico Potyka, Julian Varghese, Gabriele Kern-Isberner |
| 2013 | ECSQARU | On the Problem of Reversing Relational Inductive Knowledge Representation. | Nico Potyka, Christoph Beierle, Gabriele Kern-Isberner |
| 2013 | FlAIRS | Some Notes on the Factorization of Probabilistic Logical Models under Maximum Entropy Semantics. | Nico Potyka |
| 2013 | KI | Changes of Relational Probabilistic Belief States and Their Computation under Optimum Entropy Semantics. | Nico Potyka, Christoph Beierle, Gabriele Kern-Isberner |
| 2012 | FlAIRS | Towards a General Framework for Maximum Entropy Reasoning. | Nico Potyka |