Joaquim V. C. Assunção
Orcid: 0000-0001-7314-5014Affiliations:
- Federal University of Santa Maria (UFSM), Department of Applied Computing (DCOM), Brazil
According to our database1,
Joaquim V. C. Assunção
authored at least 17 papers
between 2012 and 2024.
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Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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on inf.ufsm.br
On csauthors.net:
Bibliography
2024
qxSAX - An Adaptable Symbolic Aggregate Approximation for Class Balancing and Seamless Classification.
Proceedings of the 15th International Conference on Information, 2024
Developer-Centric Task Allocation: An Intelligent Approach for Enhanced Software Productivity.
Proceedings of the 15th International Conference on Information, 2024
2023
Proceedings of the 38th Brazilian Symposium on Databases, 2023
Proceedings of the IEEE Conference on Games, 2023
2021
Proceedings of the 20th Brazilian Symposium on Computer Games and Digital Entertainment, 2021
2020
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
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019
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
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017
2016
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
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
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