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Rita 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
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
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
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
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
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
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
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
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 19:29 CEST by the dblp team
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