Rita Maria da Silva Julia
Orcid: 0000-0001-5181-5451
According to our database1,
Rita Maria da Silva Julia
authored at least 37 papers
between 1995 and 2024.
Collaborative distances:
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Timeline
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on facom.ufu.br
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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
Adapting the Markov Chain based Algorithm M-DBScan to Detect Opponents' Strategy Changes in the Dynamic Scenario of a StarCraft Player Agent.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 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
Mining Data Stream to Detect Behavior Change in a Real-Time Strategy Game.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 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
Feature-Based Time Series Classification for Service Request Opening Prediction in the Telecom Industry.
Proceedings of the Progress in Artificial Intelligence, 2019
Improving the AHT in Telecommunication Companies by Automatic Modeling of Call Center Service.
Proceedings of the Progress in Artificial Intelligence, 2019
2018
ACE-RL-Checkers: decision-making adaptability through integration of automatic case elicitation, reinforcement learning, and sequential pattern mining.
Knowl. Inf. Syst., 2018
A multiagent player system composed by expert agents in specific game stages operating in high performance environment.
Appl. Intell., 2018
Proceedings of the Intelligent Systems Design and Applications, 2018
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
2016
Improving NetFeatureMap-Based Representation through Frequent Pattern Mining in a Specialized Database.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
Go-Ahead: Improving Prior Knowledge Heuristics by Using Information Retrieved From Play Out Simulations.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
2015
Modeling Recursive Search Algorithms by Means of Hierarchical Colored Petri Nets and CPN Tools.
Proceedings of the 12th International Conference on Information Technology, 2015
Improving the Accuracy of the Cases in the Automatic Case Elicitation-Based Hybrid Agents for Checkers.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015
MP-Draughts: Unsupervised Learning Multi-agent System Based on MLP and Adaptive Neural Networks.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015
ACE-RL-Checkers: Improving automatic case elicitation through knowledge obtained by reinforcement learning in player agents.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015
2014
LS-VisionDraughts: improving the performance of an agent for checkers by integrating computational intelligence, reinforcement learning and a powerful search method.
Appl. Intell., 2014
BTT-Go: An Agent for Go that Uses a Transposition Table to Reduce the Simulations and the Supervision in the Monte-Carlo Tree Search.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014
2013
Improving the accomplishment of a neural network based agent for draughts that operates in a distributed learning environment.
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013
SDM-Go: An Agent for Go with an Improved Search Process Based on Monte-Carlo Tree Search and Sparse Distributed Memory.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013
2012
MP-Draughts: Ordering the Search Tree and Refining the Game Board Representation to Improve a Multi-agent System for Draughts.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
2011
D-VisionDraughts: a draughts player neural network that learns by reinforcement in a high performance environment.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
2009
MP-Draughts: a Multiagent Reinforcement Learning System based on MLP and Kohonen-SOM Neural Networks.
Proceedings of the IEEE International Conference on Systems, 2009
2008
A Draughts Learning System Based on Neural Networks and Temporal Differences: The Impact of an Efficient Tree-Search Algorithm.
Proceedings of the Advances in Artificial Intelligence, 2008
2007
LS-Draughts - A Draughts Learning System based on genetic algorithms, neural network and temporal differences.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
1999
Type Inference in Logic Programming Context.
Proceedings of the 1st International Conference on Enterprise Information Systems, 1999
NETPROLOG-A Logic Programming System for the Java Virtual Machine.
Proceedings of the 1st International Conference on Enterprise Information Systems, 1999
1998
Improving incremental construction of knowledge bases by using terminological logic resources.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998
1995
Um sistema hibrido para o processamento de linguagem natural e para a recuperação da informação.
PhD thesis, 1995