Um sistema hibrido para o processamento de linguagem natural e para a recuperação da informação. - Rita Maria da Silva Julia (1995)

Improving incremental construction of knowledge bases by using terminological logic resources. - Rita Maria da Silva Julia; António Eduardo Costa Pereira; Wilmondes M. Arantes; Alex Marcelo Samaniego Guillen (SMC, 1998)

NETPROLOG-A Logic Programming System for the Java Virtual Machine. - Cedric Luiz de Carvalho; Eduardo Costa Pereira; Rita Maria da Silva Julia (ICEIS, 1999)

Type Inference in Logic Programming Context. - Cedric Luiz de Carvalho; Eduardo Costa Pereira; Rita Maria da Silva Julia (ICEIS, 1999)

LS-Draughts - A Draughts Learning System based on genetic algorithms, neural network and temporal differences. - Henrique Castro Neto; Rita Maria da Silva Julia (IEEE Congress on Evolutionary Computation, 2007)

A Draughts Learning System Based on Neural Networks and Temporal Differences: The Impact of an Efficient Tree-Search Algorithm. - Gutierrez Soares Caixeta; Rita Maria da Silva Julia (SBIA, 2008)

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 Araújo Barcelos; Alana Bueno Otsuka (SMC, 2009)

D-VisionDraughts: a draughts player neural network that learns by reinforcement in a high performance environment. - Ayres Roberto Araújo Barcelos; Rita Maria da Silva Julia; Rivalino Matias Júnior (ESANN, 2011)

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 (ICTAI, 2012)

SDM-Go: An Agent for Go with an Improved Search Process Based on Monte-Carlo Tree Search and Sparse Distributed Memory. - Matheus Araujo Aguiar; Rita Maria da Silva Julia (CSE, 2013)

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 Araújo Barcelos (IRI, 2013)

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 (FLAIRS, 2014)

LS-VisionDraughts: improving the performance of an agent for checkers by integrating computational intelligence, reinforcement learning and a powerful search method. - Henrique Castro Neto; Rita Maria da Silva Julia; Gutierrez Soares Caexeta; Ayres Roberto Araújo Barcelos (Appl. Intell., 2014)

ACE-RL-Checkers: Improving automatic case elicitation through knowledge obtained by reinforcement learning in player agents. - Henrique Castro Neto; Rita Maria da Silva Julia (CIG, 2015)

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 (ICTAI, 2015)

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 (ICTAI, 2015)

Modeling Recursive Search Algorithms by Means of Hierarchical Colored Petri Nets and CPN Tools. - Clarimundo Machado Moraes Junior; Rita Maria da Silva Julia; Stéphane Julia (ITNG, 2015)

Go-Ahead: Improving Prior Knowledge Heuristics by Using Information Retrieved From Play Out Simulations. - Gabriel Machado Santos; Rita Maria da Silva Julia (FLAIRS, 2016)

Neural Networks Learning the Concept of Influence in Go. - Gabriel Machado Santos; Rita Maria da Silva Julia; Marco Saito; Matheus Araujo Aguiar (FLAIRS, 2016)

Improving the State Space Representation through Association Rules. - Valquiria Aparecida Rosa Duarte; Rita Maria da Silva Julia (ICMLA, 2016)

Improving NetFeatureMap-Based Representation through Frequent Pattern Mining in a Specialized Database. - Valquiria Aparecida Rosa Duarte; Rita Maria da Silva Julia (ICTAI, 2016)

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 (ICTAI, 2017)

ADABA: An Algorithm to Improve the Parallel Search in Competitive Agents. - Lidia Bononi Paiva Tomaz; Rita Maria da Silva Julia (ISDA (1), 2018)

A multiagent player system composed by expert agents in specific game stages operating in high performance environment. - Lidia Bononi Paiva Tomaz; Rita Maria da Silva Julia; Valquiria Aparecida Rosa Duarte (Appl. Intell., 2018)

ACE-RL-Checkers: decision-making adaptability through integration of automatic case elicitation, reinforcement learning, and sequential pattern mining. - Henrique Castro Neto; Rita Maria da Silva Julia (Knowl. Inf. Syst., 2018)

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; André 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 (EPIA (2), 2019)

Feature-Based Time Series Classification for Service Request Opening Prediction in the Telecom Industry. - Fabíola S. F. Pereira; André C. P. L. F. de Carvalho; Rafael Assis; Maxley Costa; Elaine R. Faria; Rita Maria da Silva Julia; Umberto Barcelos; Jony Melo (EPIA (2), 2019)

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 (FLAIRS, 2019)

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 (ICMLA, 2019)

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 (ICTAI, 2019)

Mining Data Stream to Detect Behavior Change in a Real-Time Strategy Game. - Eldane Vieira Junior; Rita Maria da Silva Julia; Elaine Ribeiro de Faria (MLDM (1), 2019)

Improving FIFA Player Agents Decision-Making Architectures Based on Convolutional Neural Networks Through Evolutionary Techniques. - Matheus Prado Prandini Faria; Rita Maria da Silva Julia; Lidia Bononi Paiva Tomaz (BRACIS, 2020)

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 (ICAART (2), 2020)

Investigating the Performance of Various Deep Neural Networks-based Approaches Designed to Identify Game Events in Gameplay Footage. - Matheus Prado Prandini Faria; Etienne Silva Julia; Marcelo Zanchetta do Nascimento; Rita Maria da Silva Julia (Proc. ACM Comput. Graph. Interact. Tech., 2022)

Investigating the Performance of Optimization Techniques on Deep Learning Models to Identify Dota2 Game Events. - Matheus Prado Prandini Faria; Etienne Silva Julia; Henrique Coelho Fernandes; Marcelo Zanchetta do Nascimento; Rita Maria da Silva Julia (VISIGRAPP (4: VISAPP), 2023)

ADABA: improving the balancing between runtime and accuracy in a new distributed version of the alpha-beta algorithm. - Lidia Bononi Paiva Tomaz; Rita Maria da Silva Julia; Matheus Prado Prandini Faria (Artif. Intell. Rev., 2023)

K-GBS3FCM - KNN Graph-Based Safe Semi-Supervised Fuzzy C-Means. - Gabriel Machado Santos; Rita Maria da Silva Julia; Marcelo Zanchetta do Nascimento (IEEE Big Data, 2024)

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 (VISIGRAPP (3): VISAPP, 2024)

K-GBS3FCM - KNN Graph-Based Safe Semi-Supervised Fuzzy C-Means. - Gabriel Santos; Rita Maria da Silva Julia; Marcelo Zanchetta do Nascimento (CoRR, 2024)

SDS-MDBScan: Assigning a meaning to changes in data stream scenarios based on the statistical calculation of the data semantic trends. - Eldane Vieira Junior; Rita Maria da Silva Julia; Elaine Ribeiro de Faria (Expert Syst. Appl., 2024)

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 (CEC, 2025)