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Disambiguation of "Zapater, Marina"

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MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding.

, , , , , and . DATE, page 558-563. IEEE, (2019)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Marina Maier

Monitoring, Mobilität und Bioverfügbarkeit von Palladiumemissionen aus Kraftfahrzeugen. TU München, (2010)

Marina Mikhaylova

Molecular dynamics of the neuronal Ca_1hn2_1hn+-binding proteins caldendrin and calneuron. Uni Magdeburg, (2009)

Marina Hammerschlag

Marina Viets

Marina Lewkowicz

 

Other publications of authors with the same name

SFIDE: a simulation infrastructure for data centers., , , and . SummerSim, page 34:1-34:12. Society for Computer Simulation International / ACM DL, (2017)A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories., , , , , , , and . VLSI-SoC, page 160-165. IEEE, (2019)Energy proportionality in near-threshold computing servers and cloud data centers: Consolidating or Not?, , , , , , and . DATE, page 147-152. IEEE, (2018)A Hybrid Cache HW/SW Stack for Optimizing Neural Network Runtime, Power and Endurance., , , and . VLSI-SOC, page 94-99. IEEE, (2020)BLADE: A BitLine Accelerator for Devices on the Edge., , , , and . ACM Great Lakes Symposium on VLSI, page 207-212. ACM, (2019)Fast Energy Estimation Through Partial Execution of HPC Applications., , , and . ASAP, page 1-8. IEEE Computer Society, (2018)DroneBandit: Multi-armed contextual bandits for collaborative edge-to-cloud inference in resource-constrained nanodrones., , , , and . ACM Great Lakes Symposium on VLSI, page 98-104. ACM, (2024)Dynamic workload and cooling management in high-efficiency data centers., , , , and . IGSC, page 1-8. IEEE Computer Society, (2015)Challenges in Deeply Heterogeneous High Performance Systems., , , , , , , , , and 1 other author(s). DSD, page 428-435. IEEE, (2019)Self-organizing Maps versus Growing Neural Gas in Detecting Anomalies in Data Centres., , , , and . Log. J. IGPL, 23 (3): 495-505 (2015)