Joaquim Assunção

Orcid: 0000-0001-7314-5014

Affiliations:
  • Federal University of Santa Maria (UFSM), Department of Applied Computing (DCOM), Brazil


According to our database1, Joaquim Assunção authored at least 15 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Quantile Symbolic Aggregate approXimation: A guaranteed equiprobable SAX.
Proceedings of the 38th Brazilian Symposium on Databases, 2023

Investigating Cases and Clusters-Based Reuse Policies for Card-Playing Agents.
Proceedings of the IEEE Conference on Games, 2023

2021
Towards playing AIs for 7 Wonders: main patterns and strategies for 3-player games.
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.
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.
Int. J. Softw. Eng. Knowl. Eng., 2019

Language Independent POS-tagging Using Automatically Generated Markov Chains (S).
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.
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).
Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

2017
Classifying With AdaBoost.M1: The Training Error Threshold Myth.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016
Fitting techniques to knowledge discovery through stochastic models.
PhD thesis, 2016

2015
SANGE - Stochastic Automata Networks Generator. A tool to efficiently predict events through structured Markovian models.
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015

2014
Unsupervised model generation for geological events.
Proceedings of the 47th Annual Simulation Symposium, 2014

A Dimensionality Reduction Process to Forecast Events through Stochastic Models.
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.
Proceedings of the IEEE International Congress on Big Data, 2013

2012
A Structured Stochastic Model for Prediction of Geological Stratal Stacking Patterns.
Proceedings of the Proceedings the Sixth International Workshop on the Practical Application of Stochastic Modelling, 2012


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