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Should We Learn Probabilistic Models for Model Checking? A New Approach and An Empirical Study.

, , , and . FASE, volume 10202 of Lecture Notes in Computer Science, page 3-21. Springer, (2017)

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Synchronizability and Navigability of Small-World Networks Generated by One Dimensional Kleinberg Model., , and . Web Intelligence, page 679-683. IEEE Computer Society, (2012)Improving Probability Estimation Through Active Probabilistic Model Learning., , , and . ICFEM, volume 10610 of Lecture Notes in Computer Science, page 379-395. Springer, (2017)Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing., , , , and . CoRR, (2018)Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing., , , and . CoRR, (2018)Stabilization of Linear Systems by Sampled-Data Feedback Control Subject to Markovian Jumping., and . ISIE, page 633-636. IEEE, (2018)Should We Learn Probabilistic Models for Model Checking? A New Approach and An Empirical Study., , , and . FASE, volume 10202 of Lecture Notes in Computer Science, page 3-21. Springer, (2017)Learning Likely Invariants to Explain Why a Program Fails., , , , and . ICECCS, page 70-79. IEEE Computer Society, (2017)Graph regularization weighted nonnegative matrix factorization for link prediction in weighted complex network., , , , and . Neurocomputing, (2019)Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor., , , and . CIKM, page 1703-1712. ACM, (2019)Quasi-Synchronization of Coupled Nonlinear Memristive Neural Networks With Time Delays by Pinning Control., , , and . IEEE Access, (2018)