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Heterogeneous Machine-Type Communications in Cellular Networks: Random Access Optimization by Deep Reinforcement Learning., and . ICC, page 1-6. IEEE, (2018)Freeze-and-mutate: abnormal sample identification for DL applications through model core analysis., , and . Autom. Softw. Eng., 30 (1): 9 (June 2023)A Novel Acceleration Method for Crack Computation Using Finite Element Analysis in Eddy Current Testing., , , , , , , and . IEEE Trans. Instrum. Meas., (2022)Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation., , , , and . CoRR, (2023)Comparing the Estimations of Value-at-Risk Using Artificial Network and Other Methods for Business Sectors., , and . INNSBDDL, page 267-275. Springer, (2019)Binding peptide generation for MHC Class I proteins with deep reinforcement learning., , , , , , , , , and . Bioinform., (February 2023)T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy., , , , , and . CoRR, (2023)A two-stage cross-neighborhood search algorithm bridging different solution representation spaces for solving the hybrid flow shop scheduling problem., , , and . Swarm Evol. Comput., (February 2024)Multi-Task Driven User Association and Resource Allocation in In-vehicle Networks., , , , and . GLOBECOM, page 1-6. IEEE, (2023)T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy., , , , , and . RECOMB, volume 13976 of Lecture Notes in Computer Science, page 174-191. Springer, (2023)