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A Comparison of ASP-Based and SAT-Based Algorithms for the Contension Inconsistency Measure., , , and . SUM, volume 13562 of Lecture Notes in Computer Science, page 139-153. Springer, (2022)Paraconsistent reasoning for inconsistency measurement in declarative process specifications., , , and . Inf. Syst., (2024)On the Impact of Data Selection when Applying Machine Learning in Abstract Argumentation., , and . COMMA, volume 353 of Frontiers in Artificial Intelligence and Applications, page 224-235. IOS Press, (2022)Graph Neural Networks for Algorithm Selection in Abstract Argumentation., , and . ArgML@COMMA, volume 3208 of CEUR Workshop Proceedings, page 81-95., (2022)Integrating Feedforward Design into a Generative Network to Synthesize Supplementary Training Data for Object Classification., , and . ICARSC, page 215-220. IEEE, (2021)Non-Automata Based Conformance Checking of Declarative Process Specifications Based on ASP., , and . Business Process Management Workshops, volume 492 of Lecture Notes in Business Information Processing, page 396-408. Springer, (2023)Comparison of SAT-based and ASP-based Algorithms for Inconsistency Measurement., , , and . CoRR, (2023)Distinguishability in Abstract Argumentation., , , , and . KR, page 686-690. (2021)A Discussion of Challenges in Benchmark Generation for Abstract Argumentation., and . Arg&App@KR, volume 3472 of CEUR Workshop Proceedings, page 78-84., (2023)Computing MUS-Based Inconsistency Measures., , and . JELIA, volume 14281 of Lecture Notes in Computer Science, page 745-755. Springer, (2023)