Matheus Prado Prandini Faria
Orcid: 0000-0003-1468-9243
According to our database1,
Matheus Prado Prandini Faria
authored at least 9 papers
between 2017 and 2024.
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Bibliography
2024
Deep Learning-Based Models for Performing Multi-Instance Multi-Label Event Classification in Gameplay Footage.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
2023
ADABA: improving the balancing between runtime and accuracy in a new distributed version of the alpha-beta algorithm.
Artif. Intell. Rev., May, 2023
Investigating the Performance of Optimization Techniques on Deep Learning Models to Identify Dota2 Game Events.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023
2022
Investigating the Performance of Various Deep Neural Networks-based Approaches Designed to Identify Game Events in Gameplay Footage.
Proc. ACM Comput. Graph. Interact. Tech., 2022
2020
Improving FIFA Player Agents Decision-Making Architectures Based on Convolutional Neural Networks Through Evolutionary Techniques.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020
2019
Deep Active Imitation Learning in FIFA Free-Kicks Player Platforms Based on Raw Image and Object Detection State Representations.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Evaluating the Performance of the Deep Active Imitation Learning Algorithm in the Dynamic Environment of FIFA Player Agents.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
A Deep Reinforcement Learn-Based FIFA Agent with Naive State Representations and Portable Connection Interfaces.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019
2017
APHID-Draughts: Comparing the Synchronous and Asynchronous Parallelism Approaches for the Alpha-Beta Algorithm Applied to Checkers.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017