Principais Trabalhos
2020-today
E. Fensterseifer Filho; J. Assunção; L. Fontoura
Developer-Centric Task Allocation: An Intelligent Approach for Enhanced Software Productivity
The Fifteenth International Conference on Information, Intelligence, Systems and Applications (IISA 2024).
[BibTeX]
[PDF]
E. Silveira; J. Assunção
qxSAX: an adaptable Symbolic Aggregate Approximation for class balancing and seamless classification
The Fifteenth International Conference on Information, Intelligence, Systems and Applications (IISA 2024).
[BibTeX]
[PDF]
[App]
Paulus, G. B. ; Vargas, D. P. ; Assunção, J. V. C. ; Silva, Luis A. L.
Investigating Cases and Clusters-Based Reuse Policies for Card-Playing Agents.
IEEE Conference on Games (IEEE CoG 2023).
[BibTeX]
[PDF]
E. Silveira; J. Assunção; L. Emmendorfer
Quantile Symbolic Aggregate approXimation: A guaranteed
equiprobable SAX.
Simpósio Brasileiro de Bancos De Dados (SBBD 2023).
[BibTeX]
[PDF]
[App]
R. Ferrari; J. Assunção
Towards playing Risk with a hybrid Monte Carlo based agent.
21th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames 2022).
[BibTeX]
[PDF]
J. Assunção; G. Paulus
Towards a time-aware HMM for the Truco game.
21th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames 2022).
[BibTeX]
[PDF]
Joaquim V. C. Assunção. Uma Breve Introdução à Mineração de Dados: Bases Para a Ciência de Dados, com Exemplos em R. 192 páginas. Novatec. 2021. ISBN-10 : 6586057507. Disponível na Amazon
-> Datasets e demais recursos do livro <-
R. Bettker; P. Minini; G. Pereira; J. Assunção
Towards playing AIs for 7 Wonders: main patterns and strategies for 3-player games.
20th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames 2021).
[BibTeX]
[PDF]
J. Jardim; R. Bettker; P. Minini; G. Pereira; J. Acosta; J. Assunção
An implementation of the 7 Wonders board game for AI-based players.
19th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames 2020).
[BibTeX]
[Video]
[PDF]
R. Moral; G. Paulus; J. Assunção; L. Silva
Investigating Case Learning Techniques for Agents to Play the Card Game of Truco.
19th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames 2020).
[BibTeX]
[Video]
[PDF]
L. Rossato; L. Silva; J. Assunção
A Markovian model for the Game of Truco.
19th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames 2020).
[BibTeX]
[Video]
[PDF]
P. Minini; J. Assunção
Combining Constructive Procedural Dungeon Generation Methods with WaveFunctionCollapse in Top-Down 2D Games.
19th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames 2020).
[BibTeX]
[Video]
[PDF]
2012-2019
J. Assunção, J.M. Vincent, P. Fernandes
Piecewise Aggregation for HMM fitting: A pre-fitting model for seamless integration with time-series data.
International Journal of Software Engineering and Knowledge Engineering, 1835--1850, 2019.
[BibTeX]
[PDF]
G. Paulus J. Assunção, L. Silva
Cases and Clusters in Reuse Policies for DecisionMaking in Card Games.
31st International Conference on Tools with Artificial Intelligence
(ICTAI 2019). Portland, Oregon, USA.
[BibTeX]
[PDF]
J. Assunção, G. Pereira, J. Acosta, R. Vales, L. Rossato
Data Mining 7 Wonders, the boardgame.
18th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames 2019). Rio de Janeiro, Brazil.
[BibTeX]
[PDF]
J. Assunção, J.M. Vincent, P. Fernandes
Piecewise Aggregation for HMM fitting. A pre-fitting model for seamless integration
with time series data.
The 31th International Conference on Software Engineering & Knowledge Engineering
(SEKE 2019). Hotel Tivoli Oriente, Lisbon, Portugal.
[BibTeX]
[PDF]
J. Assunção, P. Fernandes, L. Lopes
Language Independent POS-tagging Using
Automatically Generated Markov Chains.
The 31th International Conference on Software Engineering & Knowledge Engineering
(SEKE 2019). Hotel Tivoli Oriente, Lisbon, Portugal.
[BibTeX]
[PDF]
I. Massitela, J. Assunção, A. R. Santos, P. Fernandes
A structured stochastic model for software project estimation in Waterfall models
The 30th International Conference on Software Engineering & Knowledge Engineering
(SEKE 2018). Hotel Pullman, Redwood City, San Francisco Bay, California, USA.
[BibTeX]
[PDF]
A. Leães, P. Fernandes, L. Lopes, J. Assunção
Classifying With AdaBoost.M1: The Training Error Threshold Myth
The 30th International Florida Artificial Intelligence Research Society Conference
(FLAIRS 2017). Marco Island, Florida, USA, May 22-24, 2017. AAAI Press 2017, ISBN 978-1-57735-787-2.
[BibTeX]
[PDF]
J. Assunção, P. Fernandes, L. Lopes, A. Studeny and J.M. Vincent
SANGE – Stochastic Automata Networks Generator. A tool to efficiently predict events through structured Markovian models
The 27th International Conference on Software Engineering & Knowledge Engineering
(SEKE 2015). Wyndham Pittsburgh University Center, Pittsburgh, USA. July 6 – 8, 2015.
[BibTeX]
[PDF]
[Resources]
J. Assunção, P. Fernandes, L. Lopes, and S. Normey
A Dimensionality Reduction Process to Forecast Events Through Stochastic Models.
The 26th International Conference on Software Engineering & Knowledge Engineering
(SEKE 2014). Hyatt Regency Hotel, Vancouver, Canada. Pp. 534,539. July 1 – 3, 2014.
[BibTeX]
[PDF]
[Resources]
J. Assunção, P. Fernandes, T. Fischer, and A. Sales.
Unsupervised Model Generation for Geological Events
Spring Simulation Multi-Conference (SpringSim'14). Tampa, FL, USA. April 13 - 16, 2014.
[Program Book]
[BibTeX]
[PDF]
J. Assunção, P. Fernandes, L. Lopes, and S. Normey.
Distributed Stochastic Aware Random Forests - Efficient Data Mining for Big Data
BigData 2013. Santa Clara Marriott, CA, USA. June 27-July 2, 2013.
[Conf.Program]
[BibTeX]
[PDF]
J. Assunção, L. Espindola, P. Fernandes, M. Pivel, and A. Sales.
A structured stochastic model for prediction of geological stratal stacking patterns.
Electronic Notes in Theoretical Computer Science (ENTCS), 2013.
[BibTeX]
[DOI]
[PDF]
J. Assunção, P. Fernandes, M. Pivel, and D. Ruiz.
Uma ferramenta para distribuição e mapeamento de dados Paleogeográficos
IX Escola Regional de Banco de Dados. Camboriú, SC. Abril, 2013.
[BibTeX]
[PDF]
J. Assunção, L. Espindola, P. Fernandes, M. Pivel, and A. Sales.
A structured stochastic model for prediction of geological stratal stacking patterns.
In Sixth International Workshop on Practical Applications of Stochastic Modelling (PASM), 15 pages, London, UK, September, 2012.
[BibTeX]
[DOI]
[PDF]
