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MaxSAT-Based Bi-Objective Boolean Optimization.

, , , and . SAT, volume 236 of LIPIcs, page 12:1-12:23. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)

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Smallest Explanations and Diagnoses of Rejection in Abstract Argumentation., and . KR, page 667-671. (2020)Enabling Incrementality in the Implicit Hitting Set Approach to MaxSAT Under Changing Weights., , and . CP, volume 210 of LIPIcs, page 44:1-44:19. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2021)MaxSAT-Based Bi-Objective Boolean Optimization., , , and . SAT, volume 236 of LIPIcs, page 12:1-12:23. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)Incremental Maximum Satisfiability., , and . SAT, volume 236 of LIPIcs, page 14:1-14:19. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)Novel Algorithms for Abstract Dialectical Frameworks based on Complexity Analysis of Subclasses and SAT Solving., , , , and . IJCAI, page 1905-1911. ijcai.org, (2018)Strong Refinements for Hard Problems in Argumentation Dynamics., and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 841-848. IOS Press, (2020)Computing MUS-Based Inconsistency Measures., , and . JELIA, volume 14281 of Lecture Notes in Computer Science, page 745-755. Springer, (2023)µ-toksia: An Efficient Abstract Argumentation Reasoner., and . KR, page 800-804. (2020)From Single-Objective to Bi-Objective Maximum Satisfiability Solving., , , and . J. Artif. Intell. Res., (2024)Computational Approaches to Dynamics and Uncertainty in Abstract Argumentation.. University of Helsinki, Finland, (2020)base-search.net (ftunivhelsihelda:oai:helda.helsinki.fi:10138/319458).