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Focused most probable world computations in probabilistic logic programs.

, , , and . Ann. Math. Artif. Intell., 64 (2-3): 113-143 (2012)

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An Approach to Characterize Graded Entailment of Arguments through a Label-based Framework., , , and . CoRR, (2019)Scaling Most Probable World Computations in Probabilistic Logic Programs., , , and . SUM, volume 5291 of Lecture Notes in Computer Science, page 372-385. Springer, (2008)How Dirty Is Your Relational Database? An Axiomatic Approach., , , , and . ECSQARU, volume 4724 of Lecture Notes in Computer Science, page 103-114. Springer, (2007)Focused most probable world computations in probabilistic logic programs., , , and . Ann. Math. Artif. Intell., 64 (2-3): 113-143 (2012)Guidelines for the Analysis and Design of Argumentation-Based Recommendation Systems., , and . IEEE Intell. Syst., 35 (5): 28-37 (2020)Abductive Inference in Probabilistic Logic Programs., and . ICLP (Technical Communications), volume 7 of LIPIcs, page 192-201. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2010)An approach to characterize graded entailment of arguments through a label-based framework., , , and . Int. J. Approx. Reason., (2017)The Big-2/ROSe Model of Online Personality., , , and . Cogn. Comput., 13 (5): 1198-1214 (2021)Policy-based inconsistency management in relational databases., , , , and . Int. J. Approx. Reason., 55 (2): 501-528 (2014)Inconsistency-tolerant query answering for existential rules., , , , , and . Artif. Intell., (2022)