Addressing the Cold-Start Problem in Facial Expression Recognition. - Jose L. Jorro-Aragoneses; Belén Díaz-Agudo; Juan A. Recio-García (ICCBR, 2015)

System to Design Context-Aware Social Recommender Systems. - Jose L. Jorro-Aragoneses (ICCBR (Workshops), 2015)

A Hybrid CBR Approach for the Long Tail Problem in Recommender Systems. - Gharbi Alshammari; Jose L. Jorro-Aragoneses; Stelios Kapetanakis; Miltos Petridis; Juan A. Recio-García; Belén Díaz-Agudo (ICCBR, 2017)

Intelligent Control System for Back Pain Therapy. - Juan A. Recio-García; Belén Díaz-Agudo; Jose Luis Jorro-Aragoneses; Alireza Kazemi (ICCBR, 2017)

Madrid Live: A Context-Aware Recommender System of Leisure Plans. - Jose Luis Jorro-Aragoneses; Maria Belén Díaz-Agudo; Juan Antonio Recio-García (ICTAI, 2017)

RecOnto: An Ontology to Model Recommender Systems and its Components. - Jose Luis Jorro-Aragoneses; Gineth Magaly Cerón-Rios; Maria Belén Díaz-Agudo; Juan A. Recio-García; Diego Mauricio Lopez Gutierrez (ICTAI, 2017)

Case Base Elicitation for a Context-Aware Recommender System. - Jose Luis Jorro-Aragoneses; Guillermo Jiménez-Díaz; Juan Antonio Recio-García; Belén Díaz-Agudo (ICCBR, 2018)

Adaptation Process in Context-Aware Recommender System of Accessible Tourism Plan. - Jose L. Jorro-Aragoneses; Susana Bautista-Blasco (ICWE Workshops, 2018)

Explanation of Recommenders Using Formal Concept Analysis. - Belén Díaz-Agudo; Marta Caro-Martínez; Juan A. Recio-García; Jose Luis Jorro-Aragoneses; Guillermo Jiménez-Díaz (ICCBR, 2019)

Personalized Case-Based Explanation of Matrix Factorization Recommendations. - Jose L. Jorro-Aragoneses; Marta Caro-Martínez; Juan Antonio Recio-García; Belén Díaz-Agudo; Guillermo Jiménez-Díaz (ICCBR, 2019)

SAFEWAY: An explainable context-aware recommender system for safe routes. - Juan A. Recio-García; Belén Díaz-Agudo; Jose L. Jorro-Aragoneses; Marta Caro-Martínez (ICCBR Workshops, 2019)

A Switching Approach that Improves Prediction Accuracy for Long Tail Recommendations. - Gharbi Alshammari; Jose L. Jorro-Aragoneses; Stelios Kapetanakis; Nikolaos Polatidis; Miltos Petridis (IntelliSys (1), 2019)

A switching multi-level method for the long tail recommendation problem. - Gharbi Alshammari; Jose L. Jorro-Aragoneses; Nikolaos Polatidis; Stelios Kapetanakis; Elias Pimenidis; Miltos Petridis (J. Intell. Fuzzy Syst., 2019)

RecoLibry-core: A component-based framework for building recommender systems. - Jose L. Jorro-Aragoneses; Juan A. Recio-García; Belén Díaz-Agudo; Guillermo Jiménez-Díaz (Knowl. Based Syst., 2019)

A User-Centric Evaluation to Generate Case-Based Explanations Using Formal Concept Analysis. - Jose Luis Jorro-Aragoneses; Marta Caro-Martínez; Belén Díaz-Agudo; Juan A. Recio-García (ICCBR, 2020)

RecoLibry Suite: a set of intelligent tools for the development of recommender systems. - Jose Luis Jorro-Aragoneses; Belén Díaz-Agudo; Juan A. Recio-García; Guillermo Jiménez-Díaz (Autom. Softw. Eng., 2020)

User Evaluation to Measure the Perception of Similarity Measures in Artworks. - Belén Díaz-Agudo; Guillermo Jiménez-Díaz; Jose Luis Jorro-Aragoneses (ICCBR, 2021)

A data-driven predictive system using Case-Based Reasoning for the configuration of device-assisted back pain therapy. - Juan A. Recio-García; Belén Díaz-Agudo; Alireza Kazemi; Jose Luis Jorro-Aragoneses (J. Exp. Theor. Artif. Intell., 2021)

Learning Analytics Tools to Analyze Progress and Results With Moodle LMS Data. - Cristina Alonso-Fernández; Jose L. Jorro-Aragoneses; Carlos M. Alaíz; Pilar Rodríguez 001 (EDUCON, 2024)

Graph-Based Interface for Explanations by Examples in Recommender Systems: A User Study. - Marta Caro-Martínez; Jose L. Jorro-Aragoneses; Belén Díaz-Agudo; Juan A. Recio-García (xAI (2), 2024)

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers. - Miguel N. Font; Jose L. Jorro-Aragoneses; Carlos M. Alaíz (CoRR, 2025)