| 2025 | ICANN | A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers. | Miguel N. Font, Jose L. Jorro-Aragoneses, Carlos M. Alaz |
| 2025 | RecSys | Context Trails: A Dataset to Study Contextual and Route Recommendation. | Pablo Snchez, Alejandro Bellogn, Jose L. Jorro-Aragoneses |
| 2024 | EDUCON | Learning Analytics Tools to Analyze Progress and Results With Moodle LMS Data. | Cristina Alonso-Fernndez, Jose L. Jorro-Aragoneses, Carlos M. Alaz, Pilar Rodrguez |
| 2019 | ICCBR | Personalized Case-Based Explanation of Matrix Factorization Recommendations. | Jose L. Jorro-Aragoneses, Marta Caro-Martnez, Juan Antonio Recio-Garca, Beln Daz-Agudo, Guillermo Jimnez-Daz |
| 2019 | ICCBR | SAFEWAY: An explainable context-aware recommender system for safe routes. | Juan A. Recio-Garca, Beln Daz-Agudo, Jose L. Jorro-Aragoneses, Marta Caro-Martnez |
| 2018 | ICWE | Adaptation Process in Context-Aware Recommender System of Accessible Tourism Plan. | Jose L. Jorro-Aragoneses, Susana Bautista-Blasco |
| 2017 | ICCBR | 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-Garca, Beln Daz-Agudo |
| 2015 | ICCBR | Addressing the Cold-Start Problem in Facial Expression Recognition. | Jose L. Jorro-Aragoneses, Beln Daz-Agudo, Juan A. Recio-Garca |
| 2015 | ICCBR | System to Design Context-Aware Social Recommender Systems. | Jose L. Jorro-Aragoneses |