Fernando Ortega

64 papers C 1Misc 1Journal 60Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A hybrid approach for course recommendation: leveraging collaborative filtering and knowledge graphs. Connect. Sci. Priscila Valdiviezo Díaz, Janneth Chicaiza, Fernando Ortega, Daniel Guamán
2025	J	`jnl`	Deep neural aggregation for recommending items to group of users. Appl. Soft Comput. Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla
2024	J	`jnl`	CF4J: Collaborative Filtering for Java. CoRR Fernando Ortega, Bo Zhu, Jesús Bobadilla, Antonio Hernando
2024	J	`jnl`	Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems. CoRR Jesús Bobadilla, Jorge Dueñas-Lerín, Fernando Ortega, Abraham Gutiérrez
2024	J	`jnl`	Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems. Int. J. Interact. Multim. Artif. Intell. Jesús Bobadilla, Jorge Dueñas-Lerín, Fernando Ortega, Abraham Gutiérrez
2024	J	`jnl`	Incorporating recklessness to collaborative filtering based recommender systems. Inf. Sci. Diego Pérez-López, Fernando Ortega, Ángel González-Prieto, Jorge Dueñas-Lerín
2024	J	`jnl`	Reliability quality measures for recommender systems. CoRR Jesús Bobadilla, Abraham Gutiérrez, Fernando Ortega, Bo Zhu
2023	J	`jnl`	An evaluation framework for dimensionality reduction through sectional curvature. CoRR Raúl Lara-Cabrera, Ángel González-Prieto, Diego Pérez-López, Diego Trujillo, Fernando Ortega
2023	J	`jnl`	Deep Neural Aggregation for Recommending Items to Group of Users. CoRR Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla
2023	J	`jnl`	Deep variational models for collaborative filtering-based recommender systems. Neural Comput. Appl. Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Ángel González-Prieto
2023	J	`jnl`	Incorporating Recklessness to Collaborative Filtering based Recommender Systems. CoRR Diego Pérez-López, Fernando Ortega, Ángel González-Prieto, Jorge Dueñas-Lerín
2023	J	`jnl`	Neural Group Recommendation Based on a Probabilistic Semantic Aggregation. CoRR Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla
2023	J	`jnl`	Neural group recommendation based on a probabilistic semantic aggregation. Neural Comput. Appl. Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla
2023	J	`jnl`	Using 3-D Printed Badges to Improve Student Performance and Reduce Dropout Rates in STEM Higher Education. IEEE Trans. Educ. Raúl Lara-Cabrera, Fernando Ortega, Edgar Talavera, Daniel López-Fernández
2023	J	`jnl`	Using 3D printed badges to improve student performance and reduce dropout rates in STEM higher education. CoRR Raúl Lara-Cabrera, Fernando Ortega, Edgar Talavera, Daniel López-Fernández
2022	J	`jnl`	Bias and Unfairness of Collaborative Filtering Based Recommender Systems in MovieLens Dataset. IEEE Access Álvaro González, Fernando Ortega, Diego Pérez-López, Santiago Alonso
2022	J	`jnl`	Deep learning approach to obtain collaborative filtering neighborhoods. Neural Comput. Appl. Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera
2022	J	`jnl`	ResBeMF: Improving Prediction Coverage of Classification based Collaborative Filtering. CoRR Ángel González-Prieto, Abraham Gutiérrez, Fernando Ortega, Raúl Lara-Cabrera
2021	J	`jnl`	CF4J 2.0: Adapting Collaborative Filtering for Java to new challenges of collaborative filtering based recommender systems. Knowl. Based Syst. Fernando Ortega, Jesús Mayor, Daniel López-Fernández, Raúl Lara-Cabrera
2021	J	`jnl`	Deep Variational Models for Collaborative Filtering-based Recommender Systems. CoRR Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Ángel González-Prieto
2021	J	`jnl`	Deep learning feature selection to unhide demographic recommender systems factors. Neural Comput. Appl. Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera
2021	J	`jnl`	DeepFair: Deep Learning for Improving Fairness in Recommender Systems. Int. J. Interact. Multim. Artif. Intell. Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega
2021	J	`jnl`	LEGO® Serious Play in Software Engineering Education. IEEE Access Daniel López-Fernández, Aldo Gordillo, Fernando Ortega, Agustín Yagüe, Edmundo Tovar
2021	J	`jnl`	Providing reliability in recommender systems through Bernoulli Matrix Factorization. Inf. Sci. Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla
2020	J	`jnl`	Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems. Int. J. Interact. Multim. Artif. Intell. Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Santiago Alonso
2020	J	`jnl`	Collaborative Filtering to Predict Sensor Array Values in Large IoT Networks. Sensors Fernando Ortega, Ángel González-Prieto, Jesús Bobadilla, Abraham Gutiérrez
2020	J	`jnl`	Deep Learning feature selection to unhide demographic recommender systems factors. CoRR Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera
2020	J	`jnl`	DeepFair: Deep Learning for Improving Fairness in Recommender Systems. CoRR Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega
2020	—	`conf`	Entornos parcialmente no euclidianos en realidad virtual(Partially non-Euclidean environments in virtual reality). CoSECivi Jesús Mayor, Raúl Lara-Cabrera, Daniel López-Fernández, Fernando Ortega
2020	J	`jnl`	Providing reliability in Recommender Systems through Bernoulli Matrix Factorization. CoRR Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla
2020	J	`jnl`	Recommender system implementations for embedded collaborative filtering applications. Microprocess. Microsystems Francisco Pajuelo-Holguera, Juan Antonio Gómez Pulido, Fernando Ortega, José M. Granado Criado
2020	J	`jnl`	Recommender systems for sensor-based ambient control in academic facilities. Eng. Appl. Artif. Intell. Francisco Pajuelo-Holguera, Juan Antonio Gómez Pulido, Fernando Ortega
2019	J	`jnl`	A Collaborative Filtering Approach Based on Naïve Bayes Classifier. IEEE Access Priscila Valdiviezo, Fernando Ortega, Eduardo Cobos, Raúl Lara-Cabrera
2019	J	`jnl`	A New Recommendation Approach Based on Probabilistic Soft Clustering Methods: A Scientific Documentation Case Study. IEEE Access Remigio Hurtado, Jesús Bobadilla, Rodolfo Bojorque, Fernando Ortega, Xin Li
2019	Misc	`conf`	Evaluating Strategies for Selecting Test Datasets in Recommender Systems. HAIS Francisco Pajuelo-Holguera, Juan Antonio Gómez Pulido, Fernando Ortega
2019	C	`conf`	Motivation of Computer Science Engineering Students: Analysis and Recommendations. FIE Daniel López-Fernández, Edmundo Tovar, Pedro Pablo Alarcón, Fernando Ortega
2019	J	`jnl`	Robust Model-Based Reliability Approach to Tackle Shilling Attacks in Collaborative Filtering Recommender Systems. IEEE Access Santiago Alonso, Jesús Bobadilla, Fernando Ortega, Ricardo Moya
2018	J	`jnl`	An Efficient Recommender System Method Based on the Numerical Relevances and the Non-Numerical Structures of the Ratings. IEEE Access Bo Zhu, Remigio Hurtado, Jesús Bobadilla, Fernando Ortega
2018	J	`jnl`	Artificial Intelligence Scientific Documentation Dataset for Recommender Systems. IEEE Access Fernando Ortega, Jesús Bobadilla, Abraham Gutiérrez, Remigio Hurtado, Xin Li
2018	J	`jnl`	Assigning reliability values to recommendations using matrix factorization. J. Comput. Sci. Bo Zhu, Fernando Ortega, Jesús Bobadilla, Abraham Gutiérrez
2018	J	`jnl`	CF4J: Collaborative filtering for Java. Knowl. Based Syst. Fernando Ortega, Bo Zhu, Jesús Bobadilla, Antonio Hernando
2018	J	`jnl`	Hybrid Collaborative Filtering Based on Users Rating Behavior. IEEE Access Fernando Ortega, Diego Rojo, Priscila Valdiviezo, Laura Raya
2018	J	`jnl`	Method to interactively visualize and navigate related information. Expert Syst. Appl. Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez
2018	J	`jnl`	Recommendation to Groups of Users Using the Singularities Concept. IEEE Access Fernando Ortega, Remigio Hurtado, Jesús Bobadilla, Rodolfo Bojorque
2018	J	`jnl`	Reliability quality measures for recommender systems. Inf. Sci. Jesús Bobadilla, Abraham Gutiérrez, Fernando Ortega, Bo Zhu
2017	J	`jnl`	A probabilistic model for recommending to new cold-start non-registered users. Inf. Sci. Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez
2016	J	`jnl`	A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model. Knowl. Based Syst. Antonio Hernando, Jesús Bobadilla, Fernando Ortega
2016	J	`jnl`	Recommending items to group of users using Matrix Factorization based Collaborative Filtering. Inf. Sci. Fernando Ortega, Antonio Hernando, Jesús Bobadilla, Jeon-Hyung Kang
2014	J	`jnl`	Hierarchical graph maps for visualization of collaborative recommender systems. J. Inf. Sci. Antonio Hernando, Ricardo Moya, Fernando Ortega, Jesús Bobadilla
2014	J	`jnl`	Using Hierarchical Graph Maps to Explain Collaborative Filtering Recommendations. Int. J. Intell. Syst. Fernando Ortega, Jesús Bobadilla, Antonio Hernando, Fernando Rodríguez
2013	J	`jnl`	A similarity metric designed to speed up, using hardware, the recommender systems k-nearest neighbors algorithm. Knowl. Based Syst. Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Guillermo Glez. de Rivera
2013	J	`jnl`	Improving collaborative filtering-based recommender systems results using Pareto dominance. Inf. Sci. Fernando Ortega, José Luis Sánchez, Jesús Bobadilla, Abraham Gutiérrez
2013	J	`jnl`	Incorporating group recommendations to recommender systems: Alternatives and performance. Inf. Process. Manag. Fernando Ortega, Jesús Bobadilla, Antonio Hernando, Abraham Gutiérrez
2013	J	`jnl`	Incorporating reliability measurements into the predictions of a recommender system. Inf. Sci. Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Jorge Tejedor
2013	J	`jnl`	Recommender systems survey. Knowl. Based Syst. Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Abraham Gutiérrez
2013	J	`jnl`	Trees for explaining recommendations made through collaborative filtering. Inf. Sci. Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez
2012	J	`jnl`	A balanced memory-based collaborative filtering similarity measure. Int. J. Intell. Syst. Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Angel Arroyo
2012	J	`jnl`	A collaborative filtering approach to mitigate the new user cold start problem. Knowl. Based Syst. Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Jesus Bernal
2012	J	`jnl`	A collaborative filtering similarity measure based on singularities. Inf. Process. Manag. Jesús Bobadilla, Fernando Ortega, Antonio Hernando
2012	J	`jnl`	Collaborative filtering based on significances. Inf. Sci. Jesús Bobadilla, Antonio Hernando, Fernando Ortega, Abraham Gutiérrez
2012	J	`jnl`	Generalization of recommender systems: Collaborative filtering extended to groups of users and restricted to groups of items. Expert Syst. Appl. Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Jesus Bernal
2011	J	`jnl`	A framework for collaborative filtering recommender systems. Expert Syst. Appl. Jesús Bobadilla, Antonio Hernando, Fernando Ortega, Jesus Bernal
2011	—	`conf`	Extended Precision Quality Measure for Recommender Systems. CAEPIA Fernando Ortega, Antonio Hernando, Jesús Bobadilla
2011	J	`jnl`	Improving collaborative filtering recommender system results and performance using genetic algorithms. Knowl. Based Syst. Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Javier Alcalá