Joaquim Assunção

According to our database, Joaquim Assunção authored at least 15 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Quantile Symbolic Aggregate approXimation: A guaranteed equiprobable SAX.

Eduardo Silveira, Joaquim Assunção, Leonardo Emmendorfer

Proceedings of the 38th Brazilian Symposium on Databases, 2023

Investigating Cases and Clusters-Based Reuse Policies for Card-Playing Agents.

Gustavo Bathu Paulus, Daniel P. Vargas, Joaquim Vinicius Carvalho Assunção, Luís A. Lima Silva

Proceedings of the IEEE Conference on Games, 2023

2021

Towards playing AIs for 7 Wonders: main patterns and strategies for 3-player games.

Rafael Vales Bettker, Pedro Minini, Gabriel Pereira, Joaquim Vinicius Carvalho Assunção

Proceedings of the 20th Brazilian Symposium on Computer Games and Digital Entertainment, 2021

2020

Investigating Case Learning Techniques for Agents to Play the Card Game of Truco.

Ruan C. B. Moral, Gustavo Bathu Paulus, Joaquim Vinicius Carvalho Assunção, Luís A. Lima Silva

Proceedings of the 19th Brazilian Symposium on Computer Games and Digital Entertainment, 2020

2019

Piecewise Aggregation for HMM Fitting: A Pre-Fitting Model for Seamless Integration with Time-Series Data.

Joaquim Assunção, Paulo Fernandes, Jean-Marc Vincent

Int. J. Softw. Eng. Knowl. Eng., 2019

Language Independent POS-tagging Using Automatically Generated Markov Chains (S).

Joaquim Assunção, Paulo Fernandes, Lucelene Lopes

Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

Cases and Clusters in Reuse Policies for Decision-Making in Card Games.

Gustavo Bathu Paulus, Joaquim Vinicius Carvalho Assunção, Luís A. Lima Silva

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

A structured stochastic model for software project estimation in Waterfall models (S).

Ildo Massitela, Joaquim Assunção, Alan R. Santos, Paulo Fernandes

Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

2017

Classifying With AdaBoost.M1: The Training Error Threshold Myth.

Antônio Leães, Paulo Fernandes, Lucelene Lopes, Joaquim Assunção

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016

Fitting techniques to knowledge discovery through stochastic models.

Joaquim Assunção

PhD thesis, 2016

2015

SANGE - Stochastic Automata Networks Generator. A tool to efficiently predict events through structured Markovian models.

Joaquim Assunção, Paulo Fernandes, Lucelene Lopes, Angelika Studeny, Jean-Marc Vincent

Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015

2014

Unsupervised model generation for geological events.

Joaquim Assunção, Paulo Fernandes, Tiago Fischer, Afonso Sales

Proceedings of the 47th Annual Simulation Symposium, 2014

A Dimensionality Reduction Process to Forecast Events through Stochastic Models.

Paulo Fernandes, Joaquim Assunção, Lucelene Lopes, Silvio Gomez

Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014

2013

Distributed Stochastic Aware Random Forests - Efficient Data Mining for Big Data.

Joaquim Assunção, Paulo Fernandes, Lucelene Lopes, Silvio Normey

Proceedings of the IEEE International Congress on Big Data, 2013

2012

A Structured Stochastic Model for Prediction of Geological Stratal Stacking Patterns.

Joaquim Assunção, Luciana Espindola, Paulo Fernandes, Maria Alejandra Gomez Pivel, Afonso Sales

Proceedings of the Proceedings the Sixth International Workshop on the Practical Application of Stochastic Modelling, 2012