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Topological Insights into Sparse Neural Networks., , , , , , , and . ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 279-294. Springer, (2020)Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders., , , , , , and . CoRR, (2020)Distributed Reliable and Energy-Efficient Scheduling for LR-WPANs., , and . ACM Trans. Sens. Networks, 16 (4): 32:1-32:20 (2020)Towards Co-Located TSCH Networks: An Inter-Network Interference Perspective., , , and . GLOBECOM, page 1-6. IEEE, (2018)In-network Hebbian Plasticity for Wireless Sensor Networks., , and . IDCS, volume 11874 of Lecture Notes in Computer Science, page 79-88. Springer, (2019)Online distributed evolutionary optimization of Time Division Multiple Access protocols., , and . Expert Syst. Appl., (2023)Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders., , , , , , and . Mach. Learn., 111 (1): 377-414 (2022)A Reliability Analysis of TSCH Protocol in a Mobile Scenario., , , and . CCNC, page 1-6. IEEE, (2019)Time-Scheduled Network Evaluation Based on Interference., , and . IC2E, page 323-332. IEEE Computer Society, (2018)Topological Insights in Sparse Neural Networks., , , , , , , and . CoRR, (2020)