| 2025 | HAIS | Forecasting Thermal Demand in Citizen Energy Communities Using Machine Learning: Application to the Urberoa Case Study. | Raul Saenz-Herreros, Alejandro Muro-Belloso, Ignacio Guisasola-Iparraguirre, Ignacio Lzaro-Llorente, J. David Nuez-Gonzalez |
| 2025 | IWANN | Transfer Learning Approach for Prediction of Maximum Wave Height in Two Locations of the Bay of Biscay: Bilbao and Cabo de Peas. | Lucia Porlan-Ferrando, J. David Nuez-Gonzalez, Alain Ulazia, Manuel Graa |
| 2024 | IWINAC | Brainstorming on Dataset Reduction from an Heuristic Bioinspired Green Computing Approach. | Ana Paula Aravena-Cifuentes, Lucia Porlan-Ferrando, J. David Nuez-Gonzalez, Manuel Graa |
| 2019 | HAIS | Testing Modified Confusion Entropy as Split Criterion for Decision Trees. | J. David Nuez-Gonzalez, Alexander Gonzalo de S, Manuel Graa |
| 2017 | IWINAC | Predicting Trust in Wikipedia's Vote Network Using Social Networks measures. | J. David Nuez-Gonzalez, Manuel Graa |
| 2015 | HAIS | An Instance of Social Intelligence in the Internet of Things: Bread Making Recipe Recommendation by ELM Regression. | Manuel Graa, J. David Nuez-Gonzalez |
| 2015 | IWINAC | Graph-Based Learning on Sparse Data for Recommendation Systems in Social Networks. | J. David Nuez-Gonzalez, Manuel Graa |
| 2013 | HAIS | A Discussion on Trust Requirements for a Social Network of Eahoukers. | Manuel Graa, J. David Nuez-Gonzalez, Bruno Apolloni |