Isabelle Kuhlmann
Orcid: 0000-0001-9636-122X
According to our database1,
Isabelle Kuhlmann
authored at least 19 papers
between 2019 and 2024.
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Bibliography
2024
Paraconsistent reasoning for inconsistency measurement in declarative process specifications.
Inf. Syst., 2024
Inconsistency Measurement in LTL<sub> f</sub> Based on Minimal Inconsistent Sets and Minimal Correction Sets.
Proceedings of the Scalable Uncertainty Management - 16th International Conference, 2024
Proceedings of the Robust Argumentation Machines - First International Conference, 2024
Enhancing Abstract Argumentation Solvers with Machine Learning-Guided Heuristics: A Feasibility Study.
Proceedings of the Robust Argumentation Machines - First International Conference, 2024
2023
CoRR, 2023
An ASP-Based Framework for Solving Problems Related to Declarative Process Specifications.
Proceedings of the 21st International Workshop on Non-Monotonic Reasoning co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023) and co-located with the 36th International Workshop on Description Logics (DL 2023), 2023
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), 2023
Proceedings of the Logics in Artificial Intelligence - 18th European Conference, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Non-Automata Based Conformance Checking of Declarative Process Specifications Based on ASP.
Proceedings of the Business Process Management Workshops, 2023
2022
A Comparison of ASP-Based and SAT-Based Algorithms for the Contension Inconsistency Measure.
Proceedings of the Scalable Uncertainty Management - 15th International Conference, 2022
On the Impact of Data Selection when Applying Machine Learning in Abstract Argumentation.
Proceedings of the Computational Models of Argument, 2022
Proceedings of the 1st Workshop on Argumentation & Machine Learning co-located with 9th International Conference on Computational Models of Argument (COMMA 2022), 2022
2021
Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021
Integrating Feedforward Design into a Generative Network to Synthesize Supplementary Training Data for Object Classification.
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2021
2020
An Algorithm for the Contension Inconsistency Measure Using Reductions to Answer Set Programming.
Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020
2019
Using Graph Convolutional Networks for Approximate Reasoning with Abstract Argumentation Frameworks: A Feasibility Study.
Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019
Proceedings of the 2019 IEEE International Conference on Autonomous Robot Systems and Competitions, 2019