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From UML to Process Algebra and Back: An Automated Approach to Model-Checking Software Design Artifacts of Concurrent Systems.

, , , , , , and . NASA Formal Methods, volume 7871 of Lecture Notes in Computer Science, page 244-260. Springer, (2013)

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Efficient Large-Scale Model Checking., , , and . Distributed Verification and Grid Computing, volume 08332 of Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, (2008)CAPTURE: Memory-Centric Partitioning for Distributed DNN Training with Hybrid Parallelism., , , and . HiPC, page 76-86. IEEE, (2023)Interpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural Networks., , and . SSCI, page 1687-1694. IEEE, (2020)From UML to Process Algebra and Back: An Automated Approach to Model-Checking Software Design Artifacts of Concurrent Systems., , , , , , and . NASA Formal Methods, volume 7871 of Lecture Notes in Computer Science, page 244-260. Springer, (2013)Evaluating Design Alternatives for Reliable Communication on High-Speed Networks., , , , and . ASPLOS, page 71-81. ACM Press, (2000)Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveS., , , and . DCOSS, page 149-152. IEEE, (2022)Property Specification Made Easy: Harnessing the Power of Model Checking in UML Designs., , , , and . FORTE, volume 8461 of Lecture Notes in Computer Science, page 17-32. Springer, (2014)Using Group Communication to Implement a Fault-Tolerant Directory Service., , and . ICDCS, page 130-139. IEEE Computer Society, (1993)Using Model Checking to Analyze the System Behavior of the LHC Production Grid., , , , , and . CCGRID, page 335-343. IEEE Computer Society, (2012)Reinforcement Learning-Guided Channel Selection Across Time for Multivariate Time Series Classification., , , and . SSCI, page 1406-1413. IEEE, (2023)