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Disambiguation of "Máximo, Marcos R. O. A."

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Performance Comparison of Convolutional Neural Network Models for Object Detection in Tethered Balloon Imagery.

, , , and . LARS/SBR/WRE, page 246-251. IEEE, (2021)

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Máximo Aguilera

R O Seidl

R. A. A. Bowler

Ngo Ä ô

Maximo Guerra

 

Other publications of authors with the same name

Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations., , , , , and . WSC, page 1990-2001. IEEE, (2022)Engagement Decision Support for Beyond Visual Range Air Combat., , , , and . LARS/SBR/WRE, page 96-101. IEEE, (2021)Autonomous and Collective Intelligence for UAV Swarm in Target Search Scenario., , , , , , , , , and 3 other author(s). LARS/SBR/WRE, page 72-77. IEEE, (2021)Performance Requirements Derivation for IEEE Very Small Size Competition., , , , and . LARS/SBR, page 109-114. IEEE, (2016)An Opponent Formation Classifier for Simulated Robot Soccer., , and . RoboCup, volume 14140 of Lecture Notes in Computer Science, page 179-190. Springer, (2023)Optimizing Univector Field Navigation Parameters Using CMA-ES., , and . LARS/SBR/WRE, page 318-323. IEEE, (2021)AsaPy: A Python Library for Aerospace Simulation Analysis., , , , , , , and . CoRR, (2023)Real-Time Surface-to-Air Missile Engagement Zone Prediction Using Simulation and Machine Learning., , , , and . CoRR, (2023)Deep Reinforcement Learning for Humanoid Robot Dribbling**Alexandre Muzio acknowledges CAPES for his scholarship (number 88882.161989/2017-01). Takashi Yoneyama would like to thank CNPq - National Research Council of Brasil for the grant 304134/2-18-0. The authors thank ITAndroids' sponsors: Altium, Cenic, Intel, ITAEx, MathWorks, Metinjo, Micropress, Polimold, Rapid, SolidWorks, STMicroelectronics, Wildlife Studios, and Virtual.PYXIS., , and . LARS/SBR/WRE, page 1-6. IEEE, (2020)Comparison of Encoder-Decoder Networks for Soccer Field Segmentation., , and . LARS/SBR/WRE, page 496-501. IEEE, (2023)