Jesús Bobadilla

75 papers A 1C 3Misc 1Journal 59Unranked 9

Year	Rank	Type	Title / Venue / Authors
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
2025	J	`jnl`	Recommender Systems: Learning Collaborative Filtering Similarity Measures Using Siamese Networks. Int. J. Interact. Multim. Artif. Intell. Jesús Bobadilla, Abraham Gutiérrez
2025	J	`jnl`	Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets. Int. J. Interact. Multim. Artif. Intell. Jesús Bobadilla, Abraham Gutiérrez
2025	J	`jnl`	Use of conditional generative adversarial networks to create demographic collaborative filtering datasets. Appl. Soft Comput. Jesús Bobadilla, Abraham Gutiérrez
2024	—	`conf`	A Non-centralized Federated Learning Architecture to Obtain Accurate Privacy Preserving Results. ICCAI Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso
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	—	`conf`	Mapping Research Publications Across the World: Looking for Opportunities in AI. KES-IDT Santiago Alonso, Abraham Gutiérrez, Jesús Bobadilla
2024	J	`jnl`	Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities. CoRR Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso, Ángel González-Prieto
2024	J	`jnl`	Reliability quality measures for recommender systems. CoRR Jesús Bobadilla, Abraham Gutiérrez, Fernando Ortega, Bo Zhu
2024	J	`jnl`	Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets. CoRR Jesús Bobadilla, Abraham Gutiérrez
2024	J	`jnl`	Wasserstein GAN-based architecture to generate collaborative filtering synthetic datasets. Appl. Intell. Jesús Bobadilla, Abraham Gutierrez Rodriguez
2023	J	`jnl`	Creating Synthetic Datasets for Collaborative Filtering Recommender Systems using Generative Adversarial Networks. CoRR Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera, Luis Martínez
2023	J	`jnl`	Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks. Knowl. Based Syst. Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera, Luis Martínez
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	C	`conf`	Generating and Testing Synthetic Datasets for Recommender Systems to Improve Fairness in Collaborative Filtering Research. AICCSA Jesús Bobadilla, Abraham Gutiérrez
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
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`	Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities. Int. J. Interact. Multim. Artif. Intell. Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso, Ángel González-Prieto
2022	—	`conf`	Recommendation Versus Regression Neural Collaborative Filtering. KES-IDT Jesús Bobadilla, Santiago Alonso, Abraham Gutiérrez, Álvaro González
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`	Providing reliability in recommender systems through Bernoulli Matrix Factorization. Inf. Sci. Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla
2020	J	`jnl`	A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups. Int. J. Interact. Multim. Artif. Intell. Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso, Remigio Hurtado
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	J	`jnl`	Providing reliability in Recommender Systems through Bernoulli Matrix Factorization. CoRR Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla
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	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`	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`	Recommender Systems Clustering Using Bayesian Non Negative Matrix Factorization. IEEE Access Jesús Bobadilla, Rodolfo Bojorque, Antonio Hernando, Remigio Hurtado
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
2011	A	`conf`	e-learning experience using recommender systems. SIGCSE Jesús Bobadilla, Antonio Hernando, Angel Arroyo
2010	J	`jnl`	A new collaborative filtering metric that improves the behavior of recommender systems. Knowl. Based Syst. Jesús Bobadilla, Francisco Serradilla, Jesus Bernal
2010	—	`ch.`	Collaborative Filtering Based on Choosing a Different Number of Neighbors for Each User. Handbook of Social Network Technologies Antonio Hernando, Jesús Bobadilla, Francisco Serradilla
2009	J	`jnl`	Collaborative filtering adapted to recommender systems of e-learning. Knowl. Based Syst. Jesús Bobadilla, Francisco Serradilla, Antonio Hernando
2009	—	`conf`	Reducing Recommender Systems Data Base Sizes and Improving their Accuracy. International Conference on Internet Computing Jesús Bobadilla, Francisco Serradilla, Luis F. Mingo
2009	Misc	`conf`	The Effect of Sparsity on Collaborative Filtering Metrics. ADC Jesús Bobadilla, Francisco Serradilla
2007	C	`conf`	Mapaci: A Real Time e-Health Application to Assist Throat Complaint Patients. ICIW Jesús Bobadilla, Pedro Gomez, Juan Ignacio Godino-Llorente
2004	—	`conf`	A Fuzzy Multi-agent System for Secure Remote Control of a Mobile Guard Robot. AWIC Luis Mengual, Jesús Bobadilla, Gracián Triviño
2004	C	`conf`	Cooperative Visualization Framework Based on Video Streaming and Real-Time Vectorial Information. CDVE Jesús Bobadilla, Luis Mengual
2004	—	`conf`	Dynamic Quality Control Based on Fuzzy Agents for Multipoint Videoconferencing. IBERAMIA Jesús Bobadilla, Luis Mengual
2004	—	`conf`	New Speech Enhancement Approach for Formant Evolution Detection. TSD Jesús Bobadilla
1995	—	`conf`	Estimation of speech formant-dynamics using neural networks. EUROSPEECH Pedro Gómez, Victoria Rodellar, Agustín Álvarez, Jesús Bobadilla, Jesus Bernal, Victor Nieto Lluis, Mercedes Pérez
1989	—	`—`	Desarrollo de algoritmos basados en filtrado adaptativo y su aplicación en el estudio de la fonética acústica española. Jesús Bobadilla