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Integrating Typed Model Counting into First-Order Maximum Entropy Computations and the Connection to Markov Logic Networks.

, , , and . FLAIRS Conference, page 494-499. AAAI Press, (2019)

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A Semantics for Conditionals with Default Negation., , , and . ECSQARU, volume 10369 of Lecture Notes in Computer Science, page 257-267. Springer, (2017)Typed Model Counting and Its Application to Probabilistic Conditional Reasoning at Maximum Entropy., and . FLAIRS Conference, page 748-753. AAAI Press, (2017)Integrating Typed Model Counting into First-Order Maximum Entropy Computations and the Connection to Markov Logic Networks., , , and . FLAIRS Conference, page 494-499. AAAI Press, (2019)The Complexity of the Consistency Problem in the Probabilistic Description Logic ALC ^ME., , , and . FroCos, volume 11715 of Lecture Notes in Computer Science, page 167-184. Springer, (2019)Counting Strategies for the Probabilistic Description Logic ALC^ME Under the Principle of Maximum Entropy., , , and . JELIA, volume 11468 of Lecture Notes in Computer Science, page 434-449. Springer, (2019)Maximum Entropy Calculations for the Probabilistic Description Logic $$ALC^ME$$., and . Description Logic, Theory Combination, and All That, volume 11560 of Lecture Notes in Computer Science, page 588-609. Springer, (2019)Context-Based Inferences from Probabilistic Conditionals with Default Negation at Maximum Entropy., and . FLAIRS Conference, page 593-598. AAAI Press, (2020)Automated joining element design by predicting spot-weld locations using 3D convolutional neural networks., , and . ICE/ITMC, page 1-9. IEEE, (2020)Towards automated joining element design., , , , , and . KES, volume 159 of Procedia Computer Science, page 87-96. Elsevier, (2019)