Rita Maria da Silva Julia

44 papers B 12C 2Misc 5Journal 9Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Backrooms-Llama: A Specific Domain Small Language Model for Computational Storytelling. ICAART (3) Roxanne Silva Julia, Rita Maria da Silva Julia, Marcelo Zanchetta do Nascimento, Elaine Ribeiro de Faria
2026	J	`jnl`	Personalizing financial literacy learning for children through GenAI and agentic design: A game-based experiment. Expert Syst. Appl. Gabriel Machado Santos, Rita Maria da Silva Julia, Marcelo Zanchetta do Nascimento
2025	B	`conf`	Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites. CEC Gabriel Machado Santos, Rita Maria da Silva Julia, Marcelo Zanchetta do Nascimento
2025	J	`jnl`	Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites. CoRR Gabriel Machado Santos, Rita Maria da Silva Julia, Marcelo Zanchetta do Nascimento
2024	—	`conf`	Deep Learning-Based Models for Performing Multi-Instance Multi-Label Event Classification in Gameplay Footage. VISIGRAPP (3): VISAPP Etienne Silva Julia, Marcelo Zanchetta do Nascimento, Matheus Prado Prandini Faria, Rita Maria da Silva Julia
2024	B	`conf`	K-GBS3FCM - KNN Graph-Based Safe Semi-Supervised Fuzzy C-Means. IEEE Big Data Gabriel Machado Santos, Rita Maria da Silva Julia, Marcelo Zanchetta do Nascimento
2024	J	`jnl`	K-GBS3FCM - KNN Graph-Based Safe Semi-Supervised Fuzzy C-Means. CoRR Gabriel Santos, Rita Maria da Silva Julia, Marcelo Zanchetta do Nascimento
2024	J	`jnl`	SDS-MDBScan: Assigning a meaning to changes in data stream scenarios based on the statistical calculation of the data semantic trends. Expert Syst. Appl. Eldane Vieira Junior, Rita Maria da Silva Julia, Elaine Ribeiro de Faria
2023	J	`jnl`	ADABA: improving the balancing between runtime and accuracy in a new distributed version of the alpha-beta algorithm. Artif. Intell. Rev. Lidia Bononi Paiva Tomaz, Rita Maria da Silva Julia, Matheus Prado Prandini Faria
2023	—	`conf`	Investigating the Performance of Optimization Techniques on Deep Learning Models to Identify Dota2 Game Events. VISIGRAPP (4: VISAPP) Matheus Prado Prandini Faria, Etienne Silva Julia, Henrique Coelho Fernandes, Marcelo Zanchetta do Nascimento, Rita Maria da Silva Julia
2022	J	`jnl`	Investigating the Performance of Various Deep Neural Networks-based Approaches Designed to Identify Game Events in Gameplay Footage. Proc. ACM Comput. Graph. Interact. Tech. Matheus Prado Prandini Faria, Etienne Silva Julia, Marcelo Zanchetta do Nascimento, Rita Maria da Silva Julia
2020	—	`conf`	Adapting the Markov Chain based Algorithm M-DBScan to Detect Opponents' Strategy Changes in the Dynamic Scenario of a StarCraft Player Agent. ICAART (2) Eldane Vieira Junior, Rita Maria da Silva Julia, Elaine Ribeiro de Faria
2020	—	`conf`	Improving FIFA Player Agents Decision-Making Architectures Based on Convolutional Neural Networks Through Evolutionary Techniques. BRACIS Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz
2019	Misc	`conf`	A Deep Reinforcement Learn-Based FIFA Agent with Naive State Representations and Portable Connection Interfaces. FLAIRS Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz
2019	B	`conf`	Deep Active Imitation Learning in FIFA Free-Kicks Player Platforms Based on Raw Image and Object Detection State Representations. ICTAI Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz
2019	C	`conf`	Evaluating the Performance of the Deep Active Imitation Learning Algorithm in the Dynamic Environment of FIFA Player Agents. ICMLA Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz
2019	—	`conf`	Feature-Based Time Series Classification for Service Request Opening Prediction in the Telecom Industry. EPIA (2) 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
2019	—	`conf`	Improving the AHT in Telecommunication Companies by Automatic Modeling of Call Center Service. EPIA (2) 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
2019	—	`conf`	Mining Data Stream to Detect Behavior Change in a Real-Time Strategy Game. MLDM (1) Eldane Vieira Junior, Rita Maria da Silva Julia, Elaine Ribeiro de Faria
2018	J	`jnl`	A multiagent player system composed by expert agents in specific game stages operating in high performance environment. Appl. Intell. Lidia Bononi Paiva Tomaz, Rita Maria da Silva Julia, Valquiria Aparecida Rosa Duarte
2018	J	`jnl`	ACE-RL-Checkers: decision-making adaptability through integration of automatic case elicitation, reinforcement learning, and sequential pattern mining. Knowl. Inf. Syst. Henrique Castro Neto, Rita Maria da Silva Julia
2018	—	`conf`	ADABA: An Algorithm to Improve the Parallel Search in Competitive Agents. ISDA (1) Lidia Bononi Paiva Tomaz, Rita Maria da Silva Julia
2017	B	`conf`	APHID-Draughts: Comparing the Synchronous and Asynchronous Parallelism Approaches for the Alpha-Beta Algorithm Applied to Checkers. ICTAI Lidia Bononi Paiva Tomaz, Rita Maria da Silva Julia, Matheus Prado Prandini Faria
2016	Misc	`conf`	Go-Ahead: Improving Prior Knowledge Heuristics by Using Information Retrieved From Play Out Simulations. FLAIRS Gabriel Machado Santos, Rita Maria da Silva Julia
2016	B	`conf`	Improving NetFeatureMap-Based Representation through Frequent Pattern Mining in a Specialized Database. ICTAI Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia
2016	C	`conf`	Improving the State Space Representation through Association Rules. ICMLA Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia
2016	Misc	`conf`	Neural Networks Learning the Concept of Influence in Go. FLAIRS Gabriel Machado Santos, Rita Maria da Silva Julia, Marco Saito, Matheus Araujo Aguiar
2015	—	`conf`	ACE-RL-Checkers: Improving automatic case elicitation through knowledge obtained by reinforcement learning in player agents. CIG Henrique Castro Neto, Rita Maria da Silva Julia
2015	B	`conf`	Improving the Accuracy of the Cases in the Automatic Case Elicitation-Based Hybrid Agents for Checkers. ICTAI Henrique Castro Neto, Rita Maria da Silva Julia, Valquiria Aparecida Rosa Duarte
2015	B	`conf`	MP-Draughts: Unsupervised Learning Multi-agent System Based on MLP and Adaptive Neural Networks. ICTAI Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia, Marcelo Keese Albertini, Henrique Castro Neto
2015	—	`conf`	Modeling Recursive Search Algorithms by Means of Hierarchical Colored Petri Nets and CPN Tools. ITNG Clarimundo Machado Moraes Junior, Rita Maria da Silva Julia, Stéphane Julia
2014	Misc	`conf`	BTT-Go: An Agent for Go that Uses a Transposition Table to Reduce the Simulations and the Supervision in the Monte-Carlo Tree Search. FLAIRS Eldane Vieira Junior, Rita Maria da Silva Julia
2014	J	`jnl`	LS-VisionDraughts: improving the performance of an agent for checkers by integrating computational intelligence, reinforcement learning and a powerful search method. Appl. Intell. Henrique Castro Neto, Rita Maria da Silva Julia, Gutierrez Soares Caexeta, Ayres Roberto Araújo Barcelos
2013	Misc	`conf`	Improving the accomplishment of a neural network based agent for draughts that operates in a distributed learning environment. IRI Lidia Bononi Paiva Tomaz, Rita Maria da Silva Julia, Ayres Roberto Araújo Barcelos
2013	—	`conf`	SDM-Go: An Agent for Go with an Improved Search Process Based on Monte-Carlo Tree Search and Sparse Distributed Memory. CSE Matheus Araujo Aguiar, Rita Maria da Silva Julia
2012	B	`conf`	MP-Draughts: Ordering the Search Tree and Refining the Game Board Representation to Improve a Multi-agent System for Draughts. ICTAI Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia
2011	B	`conf`	D-VisionDraughts: a draughts player neural network that learns by reinforcement in a high performance environment. ESANN Ayres Roberto Araújo Barcelos, Rita Maria da Silva Julia, Rivalino Matias Júnior
2009	B	`conf`	MP-Draughts: a Multiagent Reinforcement Learning System based on MLP and Kohonen-SOM Neural Networks. SMC Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia, Ayres Roberto Araújo Barcelos, Alana Bueno Otsuka
2008	—	`conf`	A Draughts Learning System Based on Neural Networks and Temporal Differences: The Impact of an Efficient Tree-Search Algorithm. SBIA Gutierrez Soares Caixeta, Rita Maria da Silva Julia
2007	B	`conf`	LS-Draughts - A Draughts Learning System based on genetic algorithms, neural network and temporal differences. IEEE Congress on Evolutionary Computation Henrique Castro Neto, Rita Maria da Silva Julia
1999	—	`conf`	NETPROLOG-A Logic Programming System for the Java Virtual Machine. ICEIS Cedric Luiz de Carvalho, Eduardo Costa Pereira, Rita Maria da Silva Julia
1999	—	`conf`	Type Inference in Logic Programming Context. ICEIS Cedric Luiz de Carvalho, Eduardo Costa Pereira, Rita Maria da Silva Julia
1998	B	`conf`	Improving incremental construction of knowledge bases by using terminological logic resources. SMC Rita Maria da Silva Julia, António Eduardo Costa Pereira, Wilmondes M. Arantes, Alex Marcelo Samaniego Guillen
1995	—	`—`	Um sistema hibrido para o processamento de linguagem natural e para a recuperação da informação. Rita Maria da Silva Julia