Machine Learning algorithms applied to the classification of robotic soccer formations and opponent teams-Reference-Cited by-同舟云学术

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Machine Learning algorithms applied to the classification of robotic soccer formations and opponent teams

Published:2010-06 Issue: Volume: Page:
ISSN:
Container-title:2010 IEEE Conference on Cybernetics and Intelligent Systems
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Author:

Faria Brigida Monica,Reis Luis Paulo,Lau Nuno,Castillo Gladys

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5507897/5518538/05518540.pdf?arnumber=5518540

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Opponent Formation Classifier for Simulated Robot Soccer;Lecture Notes in Computer Science;2024

2. Development of a Simulation Environment for Robot Soccer Game with Deep Reinforcement Learning and Role Assignment;2023 WRC Symposium on Advanced Robotics and Automation (WRC SARA);2023-08-19

3. GOALALERT: A novel real-time technical team alert approach using machine learning on an IoT-based system in sports;Microprocessors and Microsystems;2022-09

4. IoT Based Agricultural Business Model for Estimating Crop Health Management to Reduce Farmer Distress Using SVM and Machine Learning;Studies in Big Data;2021-11-11

5. Bayesian Classifiers Supported by Ranking for Decision Making in Robot Soccer;2018 7th Brazilian Conference on Intelligent Systems (BRACIS);2018-10

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