Nico Potyka
Orcid: 0000-0003-1749-5233Affiliations:
- University of Stuttgart, Institute for Parallel and Distributed Systems, Germany
- University of Osnabrück, Institute of Cognitive Science, Germany
- University of Hagen, Department of Computer Science, Germany
According to our database1,
Nico Potyka
authored at least 83 papers
between 2012 and 2024.
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Bibliography
2024
Contribution functions for quantitative bipolar argumentation graphs: A principle-based analysis.
Int. J. Approx. Reason., 2024
Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings.
CoRR, 2024
CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks (Technical Report).
CoRR, 2024
Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports (Technical Report).
CoRR, 2024
Balancing Open-Mindedness and Conservativeness in Quantitative Bipolar Argumentation (and How to Prove Semantical from Functional Properties).
Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, 2024
CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks.
Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
An Empirical Study of Quantitative Bipolar Argumentation Frameworks for Truth Discovery.
Proceedings of the Computational Models of Argument, 2024
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), 2024
Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks.
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), 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Artif. Intell., August, 2023
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report].
CoRR, 2023
Proceedings of the Proceedings 39th International Conference on Logic Programming, 2023
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report).
CoRR, 2023
Proceedings of the ISWC 2023 Posters, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Explaining Random Forests using Bipolar Argumentation and Markov Networks (Technical Report).
CoRR, 2022
Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data.
CoRR, 2022
Proceedings of the Semantic Web - ISWC 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Computational Models of Argument, 2022
On the Tradeoff Between Correctness and Completeness in Argumentative Explainable AI.
Proceedings of the 1st International Workshop on Argumentation for eXplainable AI co-located with 9th International Conference on Computational Models of Argument (COMMA 2022), 2022
Proceedings of the 1st Workshop on Argumentation & Machine Learning co-located with 9th International Conference on Computational Models of Argument (COMMA 2022), 2022
Proceedings of the Computational Models of Argument, 2022
2021
Proceedings of the International Conference on Logic Programming 2021 Workshops co-located with the 37th International Conference on Logic Programming (ICLP 2021), 2021
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Interpreting Neural Networks as Gradual Argumentation Frameworks (Including Proof Appendix).
CoRR, 2020
CoRR, 2020
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020
Foundations for Solving Classification Problems with Quantitative Abstract Argumentation.
Proceedings of the First International Workshop on Explainable and Interpretable Machine Learning (XI-ML 2020) co-located with the 43rd German Conference on Artificial Intelligence (KI 2020), 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
Int. J. Approx. Reason., 2019
Int. J. Approx. Reason., 2019
Polynomial-time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation (Technical Report).
CoRR, 2019
Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019
Proceedings of the KI 2019: Advances in Artificial Intelligence, 2019
Polynomial-Time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
2018
A Tutorial for Weighted Bipolar Argumentation with Continuous Dynamical Systems and the Java Library Attractor.
CoRR, 2018
A Polynomial-time Fragment of Epistemic Probabilistic Argumentation (Technical Report).
CoRR, 2018
Convergence and Open-Mindedness of Discrete and Continuous Semantics for Bipolar Weighted Argumentation (Technical Report).
CoRR, 2018
Proceedings of the Scalable Uncertainty Management - 12th International Conference, 2018
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Sixteenth International Conference, 2018
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Sixteenth International Conference, 2018
2017
Int. J. Approx. Reason., 2017
A Framework for Versatile Knowledge and Belief Management Operations in a Probabilistic Conditional Logic.
FLAP, 2017
Towards Statistical Reasoning in Description Logics over Finite Domains (Full Version).
CoRR, 2017
Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017
2016
Solving Reasoning Problems for Probabilistic Conditional Logics with Consistent and Inconsistent Information.
PhD thesis, 2016
An overview of algorithmic approaches to compute optimum entropy distributions in the expert system shell MECore (extended version).
J. Appl. Log., 2016
Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy (Full Version).
CoRR, 2016
Probabilistic Reasoning in the Description Logic <i>ALCP</i> with the Principle of Maximum Entropy.
Proceedings of the Scalable Uncertainty Management - 10th International Conference, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Relationships Between Semantics for Relational Probabilistic Conditional Logics.
Proceedings of the Computational Models of Rationality, 2016
Proceedings of the Artificial General Intelligence - 9th International Conference, 2016
2015
Künstliche Intell., 2015
A concept for the evolution of relational probabilistic belief states and the computation of their changes under optimum entropy semantics.
J. Appl. Log., 2015
Proceedings of the Scalable Uncertainty Management - 9th International Conference, 2015
A Software System Using a SAT Solver for Reasoning Under Complete, Stable, Preferred, and Grounded Argumentation Semantics.
Proceedings of the KI 2015: Advances in Artificial Intelligence, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Towards Lifted Inference Under Maximum Entropy for Probabilistic Relational FO-PCL Knowledge Bases.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015
2014
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014
2013
Changes of Relational Probabilistic Belief States and Their Computation under Optimum Entropy Semantics.
Proceedings of the KI 2013: Advances in Artificial Intelligence, 2013
Some Notes on the Factorization of Probabilistic Logical Models under Maximum Entropy Semantics.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013
A Case Study on the Application of Probabilistic Conditional Modelling and Reasoning to Clinical Patient Data in Neurosurgery.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013
Using probabilistic logic and the principle of maximum entropy for the analysis of clinical brain tumor data.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
2012
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012