Fernando Ortega
Universidad Politécnica de Madrid
H-index: 27
Europe-Spain
Top articles of Fernando Ortega
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Virtual Reality Presence in Partially Non-Euclidean Environments | PRESENCE: Virtual and Augmented Reality | Jesus Mayor Daniel López-Fernández Raúl Lara-Cabrera Fernando Ortega | 2024/3/28 |
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 |
Incorporating Recklessness to Collaborative Filtering based Recommender Systems | arXiv preprint arXiv:2308.02058 | Diego Pérez-López Fernando Ortega Ángel González-Prieto Jorge Dueñas-Lerín | 2023/8/3 |
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 |
An evaluation framework for dimensionality reduction through sectional curvature | arXiv preprint arXiv:2303.09909 | Raúl Lara-Cabrera Ángel González-Prieto Diego Pérez-López Diego Trujillo Fernando Ortega | 2023/3/17 |
New Trends in Artificial Intelligence for Recommender Systems and Collaborative Filtering | Diego Pérez-López Jorge Dueñas-Lerín Fernando Ortega Ángel González-Prieto | 2023/7/31 | |
Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems | Jesús Bobadilla Jorge Dueñas-Lerín Fernando Ortega Abraham Gutiérrez | 2023 | |
Deep Neural Aggregation for Recommending Items to Group of Users | arXiv preprint arXiv:2307.09447 | Jorge Dueñas-Lerín Raúl Lara-Cabrera Fernando Ortega Jesús Bobadilla | 2023/7/18 |
Using 3-D Printed Badges to Improve Student Performance and Reduce Dropout Rates in STEM Higher Education | IEEE Transactions on Education | Raúl Lara-Cabrera Fernando Ortega Edgar Talavera Daniel López-Fernández | 2023/7/11 |
Bias and unfairness of collaborative filtering based recommender systems in MovieLens dataset | IEEE Access | Álvaro González Fernando Ortega Diego Pérez-López Santiago Alonso | 2022/6/27 |
Deep variational embedding representation on neural collaborative filtering recommender systems | Applied Sciences | Jesús Bobadilla Jorge Dueñas Abraham Gutiérrez Fernando Ortega | 2022/4/20 |
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 |
Dirichlet matrix factorization: A reliable classification-based recommender system | Applied Sciences | Raúl Lara-Cabrera Álvaro González Fernando Ortega Ángel González-Prieto | 2022/1 |
ResBeMF: Improving Prediction Coverage of Classification based Collaborative Filtering | arXiv preprint arXiv:2210.10619 | Ángel González-Prieto Abraham Gutierrez Fernando Ortega Raúl Lara-Cabrera | 2022/10/5 |
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 |
Providing reliability in recommender systems through Bernoulli matrix factorization | Information Sciences | Fernando Ortega Raúl Lara-Cabrera Ángel González-Prieto Jesús Bobadilla | 2021/4/1 |
CF4J 2.0: Adapting Collaborative Filtering for Java to new challenges of collaborative filtering based recommender systems | Knowledge-Based Systems | Fernando Ortega Jesús Mayor Daniel López-Fernández Raúl Lara-Cabrera | 2021/3/5 |
LEGO® serious play in software engineering education | IEEE Access | Daniel Lopez-Fernandez Aldo Gordillo Fernando Ortega Agustín Yagüe Edmundo Tovar | 2021/7/8 |
Recommender systems and collaborative filtering | Fernando Ortega Ángel González-Prieto | 2020/1 | |
Recommender system implementations for embedded collaborative filtering applications | Microprocessors and Microsystems | Francisco Pajuelo-Holguera Juan A Gómez-Pulido Fernando Ortega José M Granado-Criado | 2020/3/1 |
Co-Authors
