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ORCIDRita Maria da Silva Julia
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2020 – today
- 2024
[j6]Eldane Vieira Junior
, Rita Maria da Silva Julia, Elaine Ribeiro de Faria:
SDS-MDBScan: Assigning a meaning to changes in data stream scenarios based on the statistical calculation of the data semantic trends. Expert Syst. Appl. 255: 124500 (2024)- [c31]Etienne Silva Julia, Marcelo Zanchetta do Nascimento, Matheus Prado Prandini Faria, Rita Maria da Silva Julia:
Deep Learning-Based Models for Performing Multi-Instance Multi-Label Event Classification in Gameplay Footage. VISIGRAPP (3): VISAPP 2024: 110-121 - 2023
- [j5]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): 4255-4293 (2023) - [c30]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: 881-888 - 2022
- [j4]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): 8:1-8:17 (2022) - 2020
- [c29]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: 371-386 - [c28]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: 214-223
2010 – 2019
- 2019
- [c27]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: 96-107 - [c26]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: 120-132 - [c25]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 2019: 276-281 - [c24]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: 228-233 - [c23]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: 1654-1658 - [c22]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: 146-160 - 2018
- [j3]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): 1-22 (2018) - [j2]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): 603-634 (2018) - [c21]Lidia Bononi Paiva Tomaz, Rita Maria da Silva Julia:
ADABA: An Algorithm to Improve the Parallel Search in Competitive Agents. ISDA (1) 2018: 475-485 - 2017
- [c20]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: 1243-1250 - 2016
- [c19]Gabriel Machado Santos, Rita Maria da Silva Julia, Marco Saito, Matheus Araujo Aguiar:
Neural Networks Learning the Concept of Influence in Go. FLAIRS 2016: 340-345 - [c18]Gabriel Machado Santos, Rita Maria da Silva Julia:
Go-Ahead: Improving Prior Knowledge Heuristics by Using Information Retrieved From Play Out Simulations. FLAIRS 2016: 350-354 - [c17]Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia:
Improving the State Space Representation through Association Rules. ICMLA 2016: 931-934 - [c16]Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia:
Improving NetFeatureMap-Based Representation through Frequent Pattern Mining in a Specialized Database. ICTAI 2016: 954-961 - 2015
- [c15]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: 328-335 - [c14]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: 912-919 - [c13]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: 920-927 - [c12]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: 788-791 - 2014
- [j1]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): 525-550 (2014) - [c11]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 2014 - 2013
- [c10]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: 424-431 - [c9]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: 262-269 - 2012
- [c8]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: 1120-1125 - 2011
- [c7]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
2000 – 2009
- 2009
- [c6]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: 2270-2275 - 2008
- [c5]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: 73-82 - 2007
- [c4]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: 2523-2529
1990 – 1999
- 1999
- [c3]Cedric Luiz de Carvalho, Eduardo Costa Pereira, Rita Maria da Silva Julia:
NETPROLOG-A Logic Programming System for the Java Virtual Machine. ICEIS 1999: 591-598 - [c2]Cedric Luiz de Carvalho, Eduardo Costa Pereira, Rita Maria da Silva Julia:
Type Inference in Logic Programming Context. ICEIS 1999: 764 - 1998
- [c1]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: 1552-1557 - 1995
- [b1]Rita Maria da Silva Julia:
Um sistema hibrido para o processamento de linguagem natural e para a recuperação da informação. University of Campinas, Brazil, 1995
Coauthor Index
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last updated on 2024-08-23 18:36 CEST by the dblp team
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