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Joaquim Assunção
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- affiliation: Federal University of Santa Maria (UFSM), Department of Applied Computing (DCOM), Brazil
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2020 – today
- 2023
- [c14]Gustavo Bathu Paulus, Daniel P. Vargas, Joaquim Vinicius Carvalho Assunção, Luís A. Lima Silva:
Investigating Cases and Clusters-Based Reuse Policies for Card-Playing Agents. CoG 2023: 1-8 - [c13]Eduardo Silveira, Joaquim Assunção, Leonardo Emmendorfer:
Quantile Symbolic Aggregate approXimation: A guaranteed equiprobable SAX. SBBD 2023: 396-401 - 2021
- [c12]Rafael Vales Bettker, Pedro Minini, Gabriel Pereira, Joaquim Vinicius Carvalho Assunção:
Towards playing AIs for 7 Wonders: main patterns and strategies for 3-player games. SBGames 2021: 172-181 - 2020
- [c11]Ruan C. B. Moral, Gustavo Bathu Paulus, Joaquim Vinicius Carvalho Assunção, Luís A. Lima Silva:
Investigating Case Learning Techniques for Agents to Play the Card Game of Truco. SBGames 2020: 107-116
2010 – 2019
- 2019
- [j1]Joaquim Assunção
, Paulo Fernandes
Piecewise Aggregation for HMM Fitting: A Pre-Fitting Model for Seamless Integration with Time-Series Data. Int. J. Softw. Eng. Knowl. Eng. 29(11&12): 1835-1850 (2019) - [c10]Gustavo Bathu Paulus, Joaquim Vinicius Carvalho Assunção
Cases and Clusters in Reuse Policies for Decision-Making in Card Games. ICTAI 2019: 1361-1365 - [c9]Joaquim Assunção, Paulo Fernandes
Language Independent POS-tagging Using Automatically Generated Markov Chains (S). SEKE 2019: 513-666 - [c8]Joaquim Assunção, Jean-Marc Vincent, Paulo Fernandes
Piecewise Aggregation for HMM fitting. A pre-fitting model for seamless integration with time series data. SEKE 2019: 729-777 - 2018
- [c7]Ildo Massitela, Joaquim Assunção, Alan R. Santos, Paulo Fernandes
A structured stochastic model for software project estimation in Waterfall models (S). SEKE 2018: 364-363 - 2017
- [c6]Antônio Leães, Paulo Fernandes, Lucelene Lopes, Joaquim Assunção:
Classifying With AdaBoost.M1: The Training Error Threshold Myth. FLAIRS 2017: 198-201 - 2016
- [b1]Joaquim Assunção:
Fitting techniques to knowledge discovery through stochastic models. Pontifícia Universidade Católica do Rio Grande do Sul, Brazil, 2016 - 2015
- [c5]Joaquim Assunção, Paulo Fernandes, Lucelene Lopes, Angelika Studeny, Jean-Marc Vincent:
SANGE - Stochastic Automata Networks Generator. A tool to efficiently predict events through structured Markovian models. SEKE 2015: 581-584 - 2014
- [c4]Paulo Fernandes, Joaquim Assunção, Lucelene Lopes, Silvio Gomez:
A Dimensionality Reduction Process to Forecast Events through Stochastic Models. SEKE 2014: 534-539 - [c3]Joaquim Assunção, Paulo Fernandes, Tiago Fischer, Afonso Sales:
Unsupervised model generation for geological events. SpringSim (ANSS) 2014: 16 - 2013
- [c2]Joaquim Assunção
Distributed Stochastic Aware Random Forests - Efficient Data Mining for Big Data. BigData Congress 2013: 425-426 - 2012
- [c1]Joaquim Assunção
A Structured Stochastic Model for Prediction of Geological Stratal Stacking Patterns. PASM/PDMC 2012: 27-42
Coauthor Index
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