Personal profile
ShortBio
Bachelor’s Degree in Informatic Engineer with a specialization in Computer Science from the University of the basque Country (UPV/EHU) and Master in Artificial Intelligence from Universidad Internacional de La Rioja (UNIR). During his academic career, he has completed interships at TECNALIA, focusing on the generation and optimization of Machine Learning models for tabular data. Currently, he is making a P.h.D at TECNALIA (Factory Learning Platform), focused on the research of Active Learning techniques for the improvement of ML models, and its possible integration with the synthetic data generation, in order to make more robust models.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 4 Quality Education -
SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
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Enhancing design of experiments through uncertainty estimation and synthetic data generation
Moles, L., Andres, A., Echegaray, G. & Boto, F., Mar 2026, In: Results in Engineering. 29, 109409.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)7 Downloads (Pure) -
Exploring Data Augmentation and Active Learning Benefits in Imbalanced Datasets
Moles, L., Andres, A., Echegaray, G. & Boto, F., 19 Jun 2024, In: Mathematics. 12, 12, 1898.Research output: Contribution to journal › Article › peer-review
Open AccessFile20 Citations (Scopus)3 Downloads (Pure) -
On the use of machine learning for predicting femtosecond laser grooves in tribological applications
Moles, L., Llavori, I., Aginagalde, A., Echegaray, G., Bruneel, D., Boto, F. & Zabala, A., Dec 2024, In: Tribology International. 200, 110067.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Citations (Scopus)7 Downloads (Pure) -
Convolutional Neural Networks for Structured Industrial Data
Moles, L., Boto, F., Echegaray, G. & Torre, I. G., 2023, 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022, Proceedings. García Bringas, P., Pérez García, H., Martinez-de-Pison, F. J., Villar Flecha, J. R., Troncoso Lora, A., de la Cal, E. A., Herrero, A., Martínez Álvarez, F., Psaila, G., Quintián, H. & Corchado Rodriguez, E. S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 361-370 10 p. (Lecture Notes in Networks and Systems; vol. 531 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus)