| 2026 | ICAART | Backrooms-Llama: A Specific Domain Small Language Model for Computational Storytelling. | Roxanne Silva Julia, Rita Maria da Silva Julia, Marcelo Zanchetta do Nascimento, Elaine Ribeiro de Faria |
| 2025 | CEC | Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites. | Gabriel Machado Santos, Rita Maria da Silva Julia, Marcelo Zanchetta do Nascimento |
| 2024 | VISIGRAPP | Deep Learning-Based Models for Performing Multi-Instance Multi-Label Event Classification in Gameplay Footage. | Etienne Silva Julia, Marcelo Zanchetta do Nascimento, Matheus Prado Prandini Faria, Rita Maria da Silva Julia |
| 2020 | ICAART | Adapting the Markov Chain based Algorithm M-DBScan to Detect Opponents' Strategy Changes in the Dynamic Scenario of a StarCraft Player Agent. | Eldane Vieira Junior, Rita Maria da Silva Julia, Elaine Ribeiro de Faria |
| 2019 | EPIA | Improving the AHT in Telecommunication Companies by Automatic Modeling of Call Center Service. | Henrique de Castro Neto, Rita Maria da Silva Julia, Elaine Ribeiro de Faria Paiva, Andr Carlos Ponce de Leon Ferreira de Carvalho, Anisio Pereira Santos Junior, Diansley Raphael Santos Peres, Etienne Silva Julia, Jony Teixeira de Melo, Umberto Maia Barcelos, Josiane Esteves de Assis |
| 2019 | EPIA | Feature-Based Time Series Classification for Service Request Opening Prediction in the Telecom Industry. | Fabola S. F. Pereira, Andr C. P. L. F. de Carvalho, Rafael Assis, Maxley Costa, Elaine R. Faria, Rita Maria da Silva Julia, Umberto Barcelos, Jony Melo |
| 2019 | FlAIRS | A Deep Reinforcement Learn-Based FIFA Agent with Naive State Representations and Portable Connection Interfaces. | Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz |
| 2019 | ICMLA | Evaluating the Performance of the Deep Active Imitation Learning Algorithm in the Dynamic Environment of FIFA Player Agents. | Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz |
| 2019 | ICTAI | Deep Active Imitation Learning in FIFA Free-Kicks Player Platforms Based on Raw Image and Object Detection State Representations. | Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz |
| 2018 | ISDA | ADABA: An Algorithm to Improve the Parallel Search in Competitive Agents. | Lidia Bononi Paiva Tomaz, Rita Maria da Silva Julia |
| 2017 | ICTAI | APHID-Draughts: Comparing the Synchronous and Asynchronous Parallelism Approaches for the Alpha-Beta Algorithm Applied to Checkers. | Lidia Bononi Paiva Tomaz, Rita Maria da Silva Julia, Matheus Prado Prandini Faria |
| 2016 | FlAIRS | Go-Ahead: Improving Prior Knowledge Heuristics by Using Information Retrieved From Play Out Simulations. | Gabriel Machado Santos, Rita Maria da Silva Julia |
| 2016 | FlAIRS | Neural Networks Learning the Concept of Influence in Go. | Gabriel Machado Santos, Rita Maria da Silva Julia, Marco Saito, Matheus Araujo Aguiar |
| 2016 | ICMLA | Improving the State Space Representation through Association Rules. | Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia |
| 2016 | ICTAI | Improving NetFeatureMap-Based Representation through Frequent Pattern Mining in a Specialized Database. | Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia |
| 2015 | ICTAI | MP-Draughts: Unsupervised Learning Multi-agent System Based on MLP and Adaptive Neural Networks. | Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia, Marcelo Keese Albertini, Henrique Castro Neto |
| 2015 | ICTAI | Improving the Accuracy of the Cases in the Automatic Case Elicitation-Based Hybrid Agents for Checkers. | Henrique Castro Neto, Rita Maria da Silva Julia, Valquiria Aparecida Rosa Duarte |
| 2014 | FlAIRS | BTT-Go: An Agent for Go that Uses a Transposition Table to Reduce the Simulations and the Supervision in the Monte-Carlo Tree Search. | Eldane Vieira Junior, Rita Maria da Silva Julia |
| 2013 | IRI | Improving the accomplishment of a neural network based agent for draughts that operates in a distributed learning environment. | Lidia Bononi Paiva Tomaz, Rita Maria da Silva Julia, Ayres Roberto Arajo Barcelos |
| 2012 | ICTAI | MP-Draughts: Ordering the Search Tree and Refining the Game Board Representation to Improve a Multi-agent System for Draughts. | Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia |
| 2011 | ESANN | D-VisionDraughts: a draughts player neural network that learns by reinforcement in a high performance environment. | Ayres Roberto Arajo Barcelos, Rita Maria da Silva Julia, Rivalino Matias Jnior |
| 2009 | SMC | MP-Draughts: a Multiagent Reinforcement Learning System based on MLP and Kohonen-SOM Neural Networks. | Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia, Ayres Roberto Arajo Barcelos, Alana Bueno Otsuka |
| 2007 | CEC | LS-Draughts - A Draughts Learning System based on genetic algorithms, neural network and temporal differences. | Henrique Castro Neto, Rita Maria da Silva Julia |
| 1998 | SMC | Improving incremental construction of knowledge bases by using terminological logic resources. | Rita Maria da Silva Julia, Antnio Eduardo Costa Pereira, Wilmondes M. Arantes, Alex Marcelo Samaniego Guillen |