Jesús Bobadilla
Universidad Politécnica de Madrid
H-index: 32
Europe-Spain
Top articles of Jesús Bobadilla
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Wasserstein GAN-based architecture to generate collaborative filtering synthetic datasets | Applied Intelligence | Jesús Bobadilla Abraham Gutiérrez | 2024/2/17 |
Deep variational models for collaborative filtering-based recommender systems | Neural Computing and Applications | Jesús Bobadilla Fernando Ortega Abraham Gutiérrez Ángel González-Prieto | 2022/12/9 |
Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets | Jesús Bobadilla Abraham Gutiérrez | 2023 | |
Generating and Testing Synthetic Datasets for Recommender Systems to Improve Fairness in Collaborative Filtering Research | J Bobadilla A Gutiérrez | 2023/12/4 | |
Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems | Jesús Bobadilla Jorge Dueñas-Lerín Fernando Ortega Abraham Gutiérrez | 2023 | |
Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks | Knowledge-Based Systems | Jesús Bobadilla Abraham Gutiérrez Raciel Yera Luis Martínez | 2023/11/25 |
Neural group recommendation based on a probabilistic semantic aggregation | Neural Computing and Applications | Jorge Dueñas-Lerín Raúl Lara-Cabrera Fernando Ortega Jesús Bobadilla | 2023/7 |
Deep learning approach to obtain collaborative filtering neighborhoods | Neural Computing and Applications | Jesús Bobadilla Ángel González-Prieto Fernando Ortega Raúl Lara-Cabrera | 2022/2/1 |
Neural collaborative filtering classification model to obtain prediction reliabilities | Int. J. Interact. Multimed. Artif. Intell | Jesús Bobadilla Abraham Gutiérrez Santiago Alonso Ángel González-Prieto | 2021 |
Recommendation Versus Regression Neural Collaborative Filtering | Jesús Bobadilla Santiago Alonso Abraham Gutiérrez Álvaro González | 2022/7/27 | |
Deep variational embedding representation on neural collaborative filtering recommender systems | Applied Sciences | Jesús Bobadilla Jorge Dueñas Abraham Gutiérrez Fernando Ortega | 2022/4/20 |
Providing reliability in Recommender Systems through Bernoulli Matrix Factorization | Information Sciences | Fernando Ortega Raúl Lara-Cabrera Ángel González-Prieto Jesús Bobadilla | 2021/4/1 |
Classification-based deep neural network architecture for collaborative filtering recommender systems | Jesús Bobadilla Fernando Ortega Abraham Gutiérrez Santiago Alonso | 2020 | |
Evolving matrix-factorization-based collaborative filtering using genetic programming | Applied Sciences | Raúl Lara-Cabrera Ángel González-Prieto Fernando Ortega Requena Jesús Bobadilla Sancho | 2020/1/18 |
Deep Learning feature selection to unhide demographic recommender systems factors | Neural Computing and Applications | Jesús Bobadilla Ángel González-Prieto Fernando Ortega Raúl Lara-Cabrera | 2021 |
DeepFair: Deep Learning for Improving Fairness in Recommender Systems | International Journal of Interactive Multimedia and Artificial Intelligence | Jesús Bobadilla Raúl Lara-Cabrera Ángel González-Prieto Fernando Ortega | 2021/6 |
Machine Learning y Deep Learning usando Python, SciKit y Keras | Jesús Bobadilla | 2020 | |
Collaborative Filtering to Predict Sensor Array Values in Large IoT Networks | Sensors | Fernando Ortega Ángel González-Prieto Jesús Bobadilla Abraham Gutiérrez | 2020/8/17 |
A collaborative filtering probabilistic approach for recommendation to large homogeneous and automatically detected groups | Jesús Bobadilla Abraham Gutiérrez Santiago Alonso Remigio Hurtado | 2020 | |
Deep learning architecture for collaborative filtering recommender systems | Applied Sciences | Jesus Bobadilla Santiago Alonso Antonio Hernando | 2020/4/3 |
Co-Authors
