Rita Maria da Silva Julia

ORCID

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 23

Top Venues

University of Campinas, Brazil (PHD)

Education History

University of Campinas, Brazil

PHD

Publications

Matheus Prado Prandini Faria, Etienne Silva Julia, Henrique Coelho Fernandes, Marcelo Zanchetta do Nascimento, Rita Maria da Silva Julia
Investigating the Performance of Optimization Techniques on Deep Learning Models to Identify Dota2 Game Events. VISIGRAPP (4: VISAPP) (2023)
Lidia Bononi Paiva Tomaz, Rita Maria da Silva Julia, Matheus Prado Prandini Faria
ADABA: improving the balancing between runtime and accuracy in a new distributed version of the alpha-beta algorithm. Artif. Intell. Rev. 56 (5) (2023)
Matheus Prado Prandini Faria, Etienne Silva Julia, Marcelo Zanchetta do Nascimento, Rita Maria da Silva Julia
Investigating the Performance of Various Deep Neural Networks-based Approaches Designed to Identify Game Events in Gameplay Footage. Proc. ACM Comput. Graph. Interact. Tech. 5 (1) (2022)
Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz
Improving FIFA Player Agents Decision-Making Architectures Based on Convolutional Neural Networks Through Evolutionary Techniques. BRACIS (2020)
Eldane Vieira Junior, Rita Maria da Silva Julia, Elaine Ribeiro de Faria
Adapting the Markov Chain based Algorithm M-DBScan to Detect Opponents' Strategy Changes in the Dynamic Scenario of a StarCraft Player Agent. ICAART (2) (2020)
Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz
Evaluating the Performance of the Deep Active Imitation Learning Algorithm in the Dynamic Environment of FIFA Player Agents. ICMLA (2019)
Eldane Vieira Junior, Rita Maria da Silva Julia, Elaine Ribeiro de Faria
Mining Data Stream to Detect Behavior Change in a Real-Time Strategy Game. MLDM (1) (2019)
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
Improving the AHT in Telecommunication Companies by Automatic Modeling of Call Center Service. EPIA (2) (2019)
Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz
A Deep Reinforcement Learn-Based FIFA Agent with Naive State Representations and Portable Connection Interfaces. FLAIRS Conference (2019)
Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz
Deep Active Imitation Learning in FIFA Free-Kicks Player Platforms Based on Raw Image and Object Detection State Representations. ICTAI (2019)
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
Feature-Based Time Series Classification for Service Request Opening Prediction in the Telecom Industry. EPIA (2) (2019)
Henrique Castro Neto, Rita Maria da Silva Julia
ACE-RL-Checkers: decision-making adaptability through integration of automatic case elicitation, reinforcement learning, and sequential pattern mining. Knowl. Inf. Syst. 57 (3) (2018)
Lidia Bononi Paiva Tomaz, Rita Maria da Silva Julia
ADABA: An Algorithm to Improve the Parallel Search in Competitive Agents. ISDA (1) (2018)
Lidia Bononi Paiva Tomaz, Rita Maria da Silva Julia, Valquiria Aparecida Rosa Duarte
A multiagent player system composed by expert agents in specific game stages operating in high performance environment. Appl. Intell. 48 (1) (2018)
Lidia Bononi Paiva Tomaz, Rita Maria da Silva Julia, Matheus Prado Prandini Faria
APHID-Draughts: Comparing the Synchronous and Asynchronous Parallelism Approaches for the Alpha-Beta Algorithm Applied to Checkers. ICTAI (2017)
Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia
Improving NetFeatureMap-Based Representation through Frequent Pattern Mining in a Specialized Database. ICTAI (2016)
Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia
Improving the State Space Representation through Association Rules. ICMLA (2016)
Gabriel Machado Santos, Rita Maria da Silva Julia, Marco Saito, Matheus Araujo Aguiar
Neural Networks Learning the Concept of Influence in Go. FLAIRS Conference (2016)
Gabriel Machado Santos, Rita Maria da Silva Julia
Go-Ahead: Improving Prior Knowledge Heuristics by Using Information Retrieved From Play Out Simulations. FLAIRS Conference (2016)
Henrique Castro Neto, Rita Maria da Silva Julia, Valquiria Aparecida Rosa Duarte
Improving the Accuracy of the Cases in the Automatic Case Elicitation-Based Hybrid Agents for Checkers. ICTAI (2015)
Henrique Castro Neto, Rita Maria da Silva Julia
ACE-RL-Checkers: Improving automatic case elicitation through knowledge obtained by reinforcement learning in player agents. CIG (2015)
Clarimundo Machado Moraes Junior, Rita Maria da Silva Julia, Stéphane Julia
Modeling Recursive Search Algorithms by Means of Hierarchical Colored Petri Nets and CPN Tools. ITNG (2015)
Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia, Marcelo Keese Albertini, Henrique Castro Neto
MP-Draughts: Unsupervised Learning Multi-agent System Based on MLP and Adaptive Neural Networks. ICTAI (2015)
Henrique Castro Neto, Rita Maria da Silva Julia, Gutierrez Soares Caexeta, Ayres Roberto Araújo Barcelos
LS-VisionDraughts: improving the performance of an agent for checkers by integrating computational intelligence, reinforcement learning and a powerful search method. Appl. Intell. 41 (2) (2014)
Eldane Vieira Junior, Rita Maria da Silva Julia
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 Conference (2014)
Lidia Bononi Paiva Tomaz, Rita Maria da Silva Julia, Ayres Roberto Araújo Barcelos
Improving the accomplishment of a neural network based agent for draughts that operates in a distributed learning environment. IRI (2013)
Matheus Araujo Aguiar, Rita Maria da Silva Julia
SDM-Go: An Agent for Go with an Improved Search Process Based on Monte-Carlo Tree Search and Sparse Distributed Memory. CSE (2013)
Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia
MP-Draughts: Ordering the Search Tree and Refining the Game Board Representation to Improve a Multi-agent System for Draughts. ICTAI (2012)
Ayres Roberto Araújo Barcelos, Rita Maria da Silva Julia, Rivalino Matias Júnior
D-VisionDraughts: a draughts player neural network that learns by reinforcement in a high performance environment. ESANN (2011)
Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia, Ayres Roberto Araújo Barcelos, Alana Bueno Otsuka
MP-Draughts: a Multiagent Reinforcement Learning System based on MLP and Kohonen-SOM Neural Networks. SMC (2009)
Gutierrez Soares Caixeta, Rita Maria da Silva Julia
A Draughts Learning System Based on Neural Networks and Temporal Differences: The Impact of an Efficient Tree-Search Algorithm. SBIA (2008)
Henrique Castro Neto, Rita Maria da Silva Julia
LS-Draughts - A Draughts Learning System based on genetic algorithms, neural network and temporal differences. IEEE Congress on Evolutionary Computation (2007)
Cedric Luiz de Carvalho, Eduardo Costa Pereira, Rita Maria da Silva Julia
Type Inference in Logic Programming Context. ICEIS (1999)
Cedric Luiz de Carvalho, Eduardo Costa Pereira, Rita Maria da Silva Julia
NETPROLOG-A Logic Programming System for the Java Virtual Machine. ICEIS (1999)
Rita Maria da Silva Julia, António Eduardo Costa Pereira, Wilmondes M. Arantes, Alex Marcelo Samaniego Guillen
Improving incremental construction of knowledge bases by using terminological logic resources. SMC (1998)

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Publication Activity (10 Years)

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Rita Maria da Silva Julia