Folgen
Isabelle Kuhlmann
Isabelle Kuhlmann
Bestätigte E-Mail-Adresse bei fernuni-hagen.de
Titel
Zitiert von
Zitiert von
Jahr
Using graph convolutional networks for approximate reasoning with abstract argumentation frameworks: A feasibility study
I Kuhlmann, M Thimm
International Conference on Scalable Uncertainty Management, 24-37, 2019
352019
An algorithm for the contension inconsistency measure using reductions to answer set programming
I Kuhlmann, M Thimm
Scalable Uncertainty Management: 14th International Conference, SUM 2020 …, 2020
92020
A Comparison of ASP-Based and SAT-Based Algorithms for the Contension Inconsistency Measure
I Kuhlmann, A Gessler, V Laszlo, M Thimm
International Conference on Scalable Uncertainty Management, 139-153, 2022
82022
Algorithms for inconsistency measurement using answer set programming
I Kuhlmann, M Thimm
19th International Workshop on Non-Monotonic Reasoning (NMR), 159-168, 2021
72021
On the Impact of Data Selection when Applying Machine Learning in Abstract Argumentation
I Kuhlmann, T Wujek, M Thimm
Computational Models of Argument, 224-235, 2022
62022
Comparison of SAT-based and ASP-based Algorithms for Inconsistency Measurement
I Kuhlmann, A Gessler, V Laszlo, M Thimm
arXiv preprint arXiv:2304.14832, 2023
42023
Graph Neural Networks for Algorithm Selection in Abstract Argumentation.
J Klein, I Kuhlmann, M Thimm
ArgML@ COMMA, 81-95, 2022
42022
Towards Eliciting Attacks in Abstract Argumentation Frameworks
I Kuhlmann
Online Handbook of Argumentation for AI 2, 2021
32021
Paraconsistent reasoning for inconsistency measurement in declarative process specifications
C Corea, I Kuhlmann, M Thimm, J Grant
Information Systems, 102347, 2024
22024
MaxSAT-Based Inconsistency Measurement
A Niskanen, I Kuhlmann, M Thimm, M Järvisalo
Proceedings of the 26th European Conference on Artificial Intelligence (ECAI …, 2023
22023
Distinguishability in Abstract Argumentation
I Kuhlmann, T Rienstra, L Bengel, K Skiba, M Thimm
Proceedings of the International Conference on Principles of Knowledge …, 2021
22021
Computing MUS-based inconsistency measures
I Kuhlmann, A Niskanen, M Järvisalo
European Conference on Logics in Artificial Intelligence, 745-755, 2023
12023
Non-Automata Based Conformance Checking of Declarative Process Specifications Based on ASP
I Kuhlmann, C Corea, J Grant
International Conference on Business Process Management, 396-408, 2023
12023
An ASP-based framework for solving problems related to declarative process specifications
I Kuhlmann, C Corea, J Grant
NMR 3464, 129-132, 2023
12023
Online Handbook of Argumentation for AI: Volume 2
A Brannstrom, F Castagna, T Duchatelle, M Foulis, T Kampik, I Kuhlmann, ...
arXiv preprint arXiv:2106.10832, 2021
12021
Integrating Feedforward Design into a Generative Network to Synthesize Supplementary Training Data for Object Classification
I Kuhlmann, V Seib, D Paulus
2021 IEEE International Conference on Autonomous Robot Systems and …, 2021
12021
Scratchy: a lightweight modular autonomous robot for robotic competitions
R Memmesheimer, I Kuhlmann, M Mints, P Schmidt, C Korbach, ...
2019 IEEE International Conference on Autonomous Robot Systems and …, 2019
12019
Editors’ Note: Four Years of OHAAI
E Bezou-Vrakatseli, F Castagna, I Kuhlmann, J Mumford, D Odekerken, ...
Online Handbook of Argumentation for AI, 2, 2024
2024
A Discussion of Challenges in Benchmark Generation for Abstract Argumentation
I Kuhlmann, M Thimm
2023
On Bridging the Gap Between Machine Learning and Knowledge Representation and Reasoning: The Case of Abstract Argumentation
I Kuhlmann
The First International Conference on Foundations, Applications, and Theory …, 2022
2022
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20