Desarrollo de algoritmos basados en filtrado adaptativo y su aplicación en el estudio de la fonética acústica española. - Jesús Bobadilla (1989)

Estimation of speech formant-dynamics using neural networks. - Pedro Gómez 001; Victoria Rodellar; Agustín Álvarez 001; Jesús Bobadilla; Jesus Bernal; Victor Nieto Lluis; Mercedes Pérez (EUROSPEECH, 1995)

A Fuzzy Multi-agent System for Secure Remote Control of a Mobile Guard Robot. - Luis Mengual; Jesús Bobadilla; Gracián Triviño (AWIC, 2004)

Cooperative Visualization Framework Based on Video Streaming and Real-Time Vectorial Information. - Jesús Bobadilla; Luis Mengual (CDVE, 2004)

Dynamic Quality Control Based on Fuzzy Agents for Multipoint Videoconferencing. - Jesús Bobadilla; Luis Mengual (IBERAMIA, 2004)

New Speech Enhancement Approach for Formant Evolution Detection. - Jesús Bobadilla (TSD, 2004)

Mapaci: A Real Time e-Health Application to Assist Throat Complaint Patients. - Jesús Bobadilla; Pedro Gomez; Juan Ignacio Godino-Llorente (ICIW, 2007)

The Effect of Sparsity on Collaborative Filtering Metrics. - Jesús Bobadilla; Francisco Serradilla (ADC, 2009)

Reducing Recommender Systems Data Base Sizes and Improving their Accuracy. - Jesús Bobadilla; Francisco Serradilla; Luis F. Mingo (International Conference on Internet Computing, 2009)

Collaborative filtering adapted to recommender systems of e-learning. - Jesús Bobadilla; Francisco Serradilla; Antonio Hernando (Knowl. Based Syst., 2009)

A new collaborative filtering metric that improves the behavior of recommender systems. - Jesús Bobadilla; Francisco Serradilla; Jesus Bernal (Knowl. Based Syst., 2010)

Collaborative Filtering Based on Choosing a Different Number of Neighbors for Each User. - Antonio Hernando; Jesús Bobadilla; Francisco Serradilla (Handbook of Social Network Technologies, 2010)

Extended Precision Quality Measure for Recommender Systems. - Fernando Ortega 001; Antonio Hernando; Jesús Bobadilla (CAEPIA, 2011)

e-learning experience using recommender systems. - Jesús Bobadilla; Antonio Hernando; Angel Arroyo (SIGCSE, 2011)

A framework for collaborative filtering recommender systems. - Jesús Bobadilla; Antonio Hernando; Fernando Ortega 001; Jesus Bernal (Expert Syst. Appl., 2011)

Improving collaborative filtering recommender system results and performance using genetic algorithms. - Jesús Bobadilla; Fernando Ortega 001; Antonio Hernando; Javier Alcalá (Knowl. Based Syst., 2011)

Generalization of recommender systems: Collaborative filtering extended to groups of users and restricted to groups of items. - Jesús Bobadilla; Fernando Ortega 001; Antonio Hernando; Jesus Bernal (Expert Syst. Appl., 2012)

A balanced memory-based collaborative filtering similarity measure. - Jesús Bobadilla; Fernando Ortega 001; Antonio Hernando; Angel Arroyo (Int. J. Intell. Syst., 2012)

A collaborative filtering similarity measure based on singularities. - Jesús Bobadilla; Fernando Ortega 001; Antonio Hernando (Inf. Process. Manag., 2012)

Collaborative filtering based on significances. - Jesús Bobadilla; Antonio Hernando; Fernando Ortega 001; Abraham Gutiérrez (Inf. Sci., 2012)

A collaborative filtering approach to mitigate the new user cold start problem. - Jesús Bobadilla; Fernando Ortega 001; Antonio Hernando; Jesus Bernal (Knowl. Based Syst., 2012)

Incorporating group recommendations to recommender systems: Alternatives and performance. - Fernando Ortega 001; Jesús Bobadilla; Antonio Hernando; Abraham Gutiérrez (Inf. Process. Manag., 2013)

Trees for explaining recommendations made through collaborative filtering. - Antonio Hernando; Jesús Bobadilla; Fernando Ortega 001; Abraham Gutiérrez (Inf. Sci., 2013)

Incorporating reliability measurements into the predictions of a recommender system. - Antonio Hernando; Jesús Bobadilla; Fernando Ortega 001; Jorge Tejedor (Inf. Sci., 2013)

Improving collaborative filtering-based recommender systems results using Pareto dominance. - Fernando Ortega 001; José Luis Sánchez; Jesús Bobadilla; Abraham Gutiérrez (Inf. Sci., 2013)

Recommender systems survey. - Jesús Bobadilla; Fernando Ortega 001; Antonio Hernando; Abraham Gutiérrez (Knowl. Based Syst., 2013)

A similarity metric designed to speed up, using hardware, the recommender systems k-nearest neighbors algorithm. - Jesús Bobadilla; Fernando Ortega 001; Antonio Hernando; Guillermo Glez. de Rivera (Knowl. Based Syst., 2013)

Using Hierarchical Graph Maps to Explain Collaborative Filtering Recommendations. - Fernando Ortega 001; Jesús Bobadilla; Antonio Hernando; Fernando Rodríguez (Int. J. Intell. Syst., 2014)

Hierarchical graph maps for visualization of collaborative recommender systems. - Antonio Hernando; Ricardo Moya; Fernando Ortega 001; Jesús Bobadilla (J. Inf. Sci., 2014)

Recommending items to group of users using Matrix Factorization based Collaborative Filtering. - Fernando Ortega 001; Antonio Hernando; Jesús Bobadilla; Jeon-Hyung Kang (Inf. Sci., 2016)

A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model. - Antonio Hernando; Jesús Bobadilla; Fernando Ortega 001 (Knowl. Based Syst., 2016)

A probabilistic model for recommending to new cold-start non-registered users. - Antonio Hernando; Jesús Bobadilla; Fernando Ortega 001; Abraham Gutiérrez (Inf. Sci., 2017)

Recommender Systems Clustering Using Bayesian Non Negative Matrix Factorization. - Jesús Bobadilla; Rodolfo Bojorque; Antonio Hernando; Remigio Hurtado (IEEE Access, 2018)

Artificial Intelligence Scientific Documentation Dataset for Recommender Systems. - Fernando Ortega 001; Jesús Bobadilla; Abraham Gutiérrez; Remigio Hurtado; Xin Li 033 (IEEE Access, 2018)

Recommendation to Groups of Users Using the Singularities Concept. - Fernando Ortega 001; Remigio Hurtado; Jesús Bobadilla; Rodolfo Bojorque (IEEE Access, 2018)

An Efficient Recommender System Method Based on the Numerical Relevances and the Non-Numerical Structures of the Ratings. - Bo Zhu 008; Remigio Hurtado; Jesús Bobadilla; Fernando Ortega 001 (IEEE Access, 2018)

Method to interactively visualize and navigate related information. - Antonio Hernando; Jesús Bobadilla; Fernando Ortega 001; Abraham Gutiérrez (Expert Syst. Appl., 2018)

Reliability quality measures for recommender systems. - Jesús Bobadilla; Abraham Gutiérrez; Fernando Ortega 001; Bo Zhu 008 (Inf. Sci., 2018)

Assigning reliability values to recommendations using matrix factorization. - Bo Zhu 008; Fernando Ortega 001; Jesús Bobadilla; Abraham Gutiérrez (J. Comput. Sci., 2018)

VisualRS: Java framework for visualization of recommender systems information. - S. Gil; Jesús Bobadilla; Fernando Ortega 001; Bo Zhu 008 (Knowl. Based Syst., 2018)

CF4J: Collaborative filtering for Java. - Fernando Ortega 001; Bo Zhu 008; Jesús Bobadilla; Antonio Hernando (Knowl. Based Syst., 2018)

Robust Model-Based Reliability Approach to Tackle Shilling Attacks in Collaborative Filtering Recommender Systems. - Santiago Alonso; Jesús Bobadilla; Fernando Ortega 001; Ricardo Moya (IEEE Access, 2019)

A New Recommendation Approach Based on Probabilistic Soft Clustering Methods: A Scientific Documentation Case Study. - Remigio Hurtado; Jesús Bobadilla; Rodolfo Bojorque; Fernando Ortega 001; Xin Li 033 (IEEE Access, 2019)

MaliciousML: MovieLens dataset attacked with diverse profile injection attacks. - Santiago Alonso; Jesús Bobadilla; Fernando Ortega 001; Ricardo Moya (IEEE DataPort, 2019)

A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups. - Jesús Bobadilla; Abraham Gutiérrez; Santiago Alonso; Remigio Hurtado (Int. J. Interact. Multim. Artif. Intell., 2020)

Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems. - Jesús Bobadilla; Fernando Ortega 001; Abraham Gutiérrez; Santiago Alonso (Int. J. Interact. Multim. Artif. Intell., 2020)

Collaborative Filtering to Predict Sensor Array Values in Large IoT Networks. - Fernando Ortega 001; Ángel González-Prieto; Jesús Bobadilla; Abraham Gutiérrez (Sensors, 2020)

DeepFair: Deep Learning for Improving Fairness in Recommender Systems. - Jesús Bobadilla; Raúl Lara-Cabrera; Ángel González-Prieto; Fernando Ortega 001 (Int. J. Interact. Multim. Artif. Intell., 2021)

Providing reliability in recommender systems through Bernoulli Matrix Factorization. - Fernando Ortega 001; Raúl Lara-Cabrera; Ángel González-Prieto; Jesús Bobadilla (Inf. Sci., 2021)

Deep learning feature selection to unhide demographic recommender systems factors. - Jesús Bobadilla; Ángel González-Prieto; Fernando Ortega 001; Raúl Lara-Cabrera (Neural Comput. Appl., 2021)

Recommendation Versus Regression Neural Collaborative Filtering. - Jesús Bobadilla; Santiago Alonso; Abraham Gutiérrez; Álvaro González (KES-IDT, 2022)

Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities. - Jesús Bobadilla; Abraham Gutiérrez; Santiago Alonso; Ángel González-Prieto (Int. J. Interact. Multim. Artif. Intell., 2022)

Deep learning approach to obtain collaborative filtering neighborhoods. - Jesús Bobadilla; Ángel González-Prieto; Fernando Ortega 001; Raúl Lara-Cabrera (Neural Comput. Appl., 2022)

Generating and Testing Synthetic Datasets for Recommender Systems to Improve Fairness in Collaborative Filtering Research. - Jesús Bobadilla; Abraham Gutiérrez (AICCSA, 2023)

Deep variational models for collaborative filtering-based recommender systems. - Jesús Bobadilla; Fernando Ortega 001; Abraham Gutiérrez; Ángel González-Prieto (Neural Comput. Appl., 2023)

Neural group recommendation based on a probabilistic semantic aggregation. - Jorge Dueñas-Lerín; Raúl Lara-Cabrera; Fernando Ortega 001; Jesús Bobadilla (Neural Comput. Appl., 2023)

Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks. - Jesús Bobadilla; Abraham Gutiérrez; Raciel Yera; Luis Martínez 001 (Knowl. Based Syst., 2023)

A Non-centralized Federated Learning Architecture to Obtain Accurate Privacy Preserving Results. - Jesús Bobadilla; Abraham Gutiérrez; Santiago Alonso (ICCAI, 2024)

Mapping Research Publications Across the World: Looking for Opportunities in AI. - Santiago Alonso; Abraham Gutiérrez; Jesús Bobadilla (KES-IDT, 2024)

Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems. - Jesús Bobadilla; Jorge Dueñas-Lerín; Fernando Ortega 001; Abraham Gutiérrez (Int. J. Interact. Multim. Artif. Intell., 2024)

Wasserstein GAN-based architecture to generate collaborative filtering synthetic datasets. - Jesús Bobadilla; Abraham Gutierrez Rodriguez (Appl. Intell., 2024)

Use of conditional generative adversarial networks to create demographic collaborative filtering datasets. - Jesús Bobadilla; Abraham Gutiérrez (Appl. Soft Comput., 2025)

Deep neural aggregation for recommending items to group of users. - Jorge Dueñas-Lerín; Raúl Lara-Cabrera; Fernando Ortega 001; Jesús Bobadilla (Appl. Soft Comput., 2025)

Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets. - Jesús Bobadilla; Abraham Gutiérrez (Int. J. Interact. Multim. Artif. Intell., 2025)