Abraham Gutiérrez
| Jesús Bobadilla, Abraham Gutiérrez (In Press). "Recommender Systems: Learning Collaborative Filtering Similarity Measures Using Siamese Networks", International Journal of Interactive Multimedia and Artificial Intelligence, vol. In press, issue In press, no. In press, pp. 1-7. https://doi.org/10.9781/ijimai.2025.03.006 |
| Jesús Bobadilla, Abraham Gutiérrez (2025). "Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets", International Journal of Interactive Multimedia and Artificial Intelligence, vol. 9, issue Regular issue, no. 3, pp. 30-39. https://doi.org/10.9781/ijimai.2023.10.002 |
| Jesús Bobadilla, Jorge Dueñas-Lerín, Fernando Ortega, Abraham Gutiérrez (2024). "Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems", International Journal of Interactive Multimedia and Artificial Intelligence, vol. 8, issue Regular Issue, no. 6, pp. 15-23. https://doi.org/10.9781/ijimai.2023.04.008 |
| Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso, Ángel González-Prieto (2022). "Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities", International Journal of Interactive Multimedia and Artificial Intelligence, vol. 7, issue Regular Issue, no. 4, pp. 18-26. https://doi.org/10.9781/ijimai.2021.08.010 |
| Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Santiago Alonso (2020). "Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems", International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, issue Special Issue on Soft Computing, no. 1, pp. 68-77. https://doi.org/10.9781/ijimai.2020.02.006 |
| Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso, Remigio Hurtado (2020). "A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups", International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, issue Regular Issue, no. 2, pp. 11. https://doi.org/10.9781/ijimai.2020.03.002 |