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Achieving Abstract Machine Reachability with Learning-Based Model Fulfilment., , , and . APSEC, page 260-267. IEEE, (2019)Deep Neural Networks with Multistate Activation Functions., , , and . Comput. Intell. Neurosci., (2015)Measuring the Quality of B Abstract Machines with ISO/IEC 25010., , and . TASE, page 169-176. IEEE, (2020)A Combination of Multi-state Activation Functions, Mean-normalisation and Singular Value Decomposition for learning Deep Neural Networks., , , and . IJCNN, page 1-8. IEEE, (2015)Design Model Repair with Formal Verification., , and . ICFEM, volume 11852 of Lecture Notes in Computer Science, page 489-492. Springer, (2019)B-Repair: Repairing B-Models Using Machine Learning., , and . ICECCS, page 31-40. IEEE Computer Society, (2018)Symbolic manipulation based on deep neural networks and its application to axiom discovery., , , and . IJCNN, page 2136-2143. IEEE, (2017)Fast Learning of Deep Neural Networks via Singular Value Decomposition., , , and . PRICAI, volume 8862 of Lecture Notes in Computer Science, page 820-826. Springer, (2014)A Service-oriented Scheduling Combination Strategy on Cloud Platforms Based on A Dual-Layer QoS Evaluation Model., , , , , and . Internetware, ACM, (2024)A lattice-transformer-graph deep learning model for Chinese named entity recognition., , , , and . J. Intell. Syst., (2023)