| Evaluating hyper-parameter tuning using random search in support vector machines for software effort estimation L Villalobos-Arias, C Quesada-López, J Guevara-Coto, A Martínez, ... Proceedings of the 16th ACM international conference on predictive models …, 2020 | 37 | 2020 |
| Comparative study of random search hyper-parameter tuning for software effort estimation L Villalobos-Arias, C Quesada-López Proceedings of the 17th international conference on predictive models and …, 2021 | 20 | 2021 |
| A tertiary study on model-based testing areas, tools and challenges: Preliminary results L Villalobos Arias, CU Quesada López, A Martínez Porras, ... | 15 | 2018 |
| Model-based testing areas, tools and challenges: A tertiary study L Villalobos-Arias, C Quesada-López, A Martinez, M Jenkins CLEI Electronic Journal 22 (1), 3: 1-3: 38, 2019 | 13 | 2019 |
| Evaluation of a model‐based testing platform for Java applications L Villalobos-Arias, C Quesada-López, A Martínez, M Jenkins IET Software 14 (2), 115-128, 2020 | 9 | 2020 |
| Hyper-parameter tuning of classification and regression trees for software effort estimation L Villalobos-Arias, C Quesada-López, A Martínez, M Jenkins Trends and Applications in Information Systems and Technologies: Volume 3 9 …, 2021 | 8 | 2021 |
| Técnicas de ajuste de hiperparámetros de algoritmos de aprendizaje automático para la estimación de esfuerzo: un mapeo de literatura L Villalobos-Arias, C Quesada-López, A Martínez, M Jenkins Revista Ibérica de Sistemas e Tecnologias de Informação, 305-318, 2021 | 5 | 2021 |
| MBT4J: automating the model-based testing process for Java applications L Villalobos-Arias, C Quesada-López, A Martinez, M Jenkins Trends and Applications in Software Engineering: Proceedings of the 7th …, 2019 | 2 | 2019 |
| Hyper-parameter tuning using genetic algorithms for software effort estimation L Villalobos-Arias, C Quesada-López, M Jenkins, J Murillo-Morera 2021 16th Iberian Conference on Information Systems and Technologies (CISTI …, 2021 | 1 | 2021 |
| Evaluating an automated procedure of machine learning parameter tuning for software effort estimation L Villalobos Arias | 1 | 2021 |
| Assessing two graph-based algorithms in a modelbased testing platform for Java applications L Villalobos-Arias, C Quesada-López, A Martínez, M Jenkins 2020 15th Iberian Conference on Information Systems and Technologies (CISTI …, 2020 | 1 | 2020 |
| Potential-Based Reward Shaping For Intrinsic Motivation GC Forbes, N Gupta, L Villalobos-Arias, CM Potts, A Jhala, DL Roberts arXiv preprint arXiv:2402.07411, 2024 | | 2024 |
| Modeling Risk in Reinforcement Learning: A Literature Mapping L Villalobos-Arias, D Martin, A Krishnan, M Gagné, CM Potts, A Jhala arXiv preprint arXiv:2312.05231, 2023 | | 2023 |
| An empirical evaluation of a model-based software testing tool L Villalobos Arias | | 2018 |
