Leonardo Villalobos-Arias

According to our database1, Leonardo Villalobos-Arias authored at least 9 papers between 2018 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Potential-Based Reward Shaping for Intrinsic Motivation.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Modeling Risk in Reinforcement Learning: A Literature Mapping.
CoRR, 2023

2021
Hyper-Parameter Tuning of Classification and Regression Trees for Software Effort Estimation.
Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

Comparative study of random search hyper-parameter tuning for software effort estimation.
Proceedings of the PROMISE '21: 17th International Conference on Predictive Models and Data Analytics in Software Engineering, 2021

Multi-objective hyper-parameter tuning for software effort estimation.
Proceedings of the 24th Iberoamerican Conference on Software Engineering, 2021

2020
Evaluation of a model-based testing platform for Java applications.
IET Softw., 2020

Evaluating hyper-parameter tuning using random search in support vector machines for software effort estimation.
Proceedings of the PROMISE '20: 16th International Conference on Predictive Models and Data Analytics in Software Engineering, 2020

2019
Model-based testing areas, tools and challenges: A tertiary study.
CLEI Electron. J., 2019

2018
A tertiary study on model-based testing areas, tools and challenges: Preliminary results.
Proceedings of the XXI Iberoamerican Conference on Software Engineering, 2018


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