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ORCIDJose L. Jorro-Aragoneses
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2020 – today
- 2024
[c15]Cristina Alonso-Fernández, Jose L. Jorro-Aragoneses, Carlos M. Alaíz, Pilar Rodríguez:
Learning Analytics Tools to Analyze Progress and Results With Moodle LMS Data. EDUCON 2024: 1-7- 2021
- [j4]Juan A. Recio-García
, Belén Díaz-Agudo, Alireza Kazemi, Jose Luis Jorro-Aragoneses:
A data-driven predictive system using Case-Based Reasoning for the configuration of device-assisted back pain therapy. J. Exp. Theor. Artif. Intell. 33(4): 617-635 (2021) - [c14]Belén Díaz-Agudo, Guillermo Jiménez-Díaz, Jose Luis Jorro-Aragoneses:
User Evaluation to Measure the Perception of Similarity Measures in Artworks. ICCBR 2021: 48-63 - 2020
- [j3]Jose Luis Jorro-Aragoneses, Belén Díaz-Agudo, Juan A. Recio-García, Guillermo Jiménez-Díaz:
RecoLibry Suite: a set of intelligent tools for the development of recommender systems. Autom. Softw. Eng. 27(1): 63-89 (2020) - [c13]Jose Luis Jorro-Aragoneses, Marta Caro-Martínez, Belén Díaz-Agudo, Juan A. Recio-García:
A User-Centric Evaluation to Generate Case-Based Explanations Using Formal Concept Analysis. ICCBR 2020: 195-210
2010 – 2019
- 2019
- [j2]Gharbi Alshammari, Jose L. Jorro-Aragoneses, Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis, Miltos Petridis:
A switching multi-level method for the long tail recommendation problem. J. Intell. Fuzzy Syst. 37(6): 7189-7198 (2019) - [j1]Jose L. Jorro-Aragoneses, Juan A. Recio-García, Belén Díaz-Agudo, Guillermo Jiménez-Díaz:
RecoLibry-core: A component-based framework for building recommender systems. Knowl. Based Syst. 182 (2019) - [c12]Belén Díaz-Agudo, Marta Caro-Martínez, Juan A. Recio-García, Jose Luis Jorro-Aragoneses, Guillermo Jiménez-Díaz:
Explanation of Recommenders Using Formal Concept Analysis. ICCBR 2019: 33-48 - [c11]Juan A. Recio-García, Belén Díaz-Agudo, Jose L. Jorro-Aragoneses, Marta Caro-Martínez:
SAFEWAY: An explainable context-aware recommender system for safe routes. ICCBR Workshops 2019: 121-132 - [c10]Jose L. Jorro-Aragoneses, Marta Caro-Martínez, Juan Antonio Recio-García, Belén Díaz-Agudo, Guillermo Jiménez-Díaz:
Personalized Case-Based Explanation of Matrix Factorization Recommendations. ICCBR 2019: 140-154 - [c9]Gharbi Alshammari, Jose L. Jorro-Aragoneses, Stelios Kapetanakis, Nikolaos Polatidis, Miltos Petridis:
A Switching Approach that Improves Prediction Accuracy for Long Tail Recommendations. IntelliSys (1) 2019: 18-28 - 2018
- [c8]Jose Luis Jorro-Aragoneses, Guillermo Jiménez-Díaz, Juan Antonio Recio-García, Belén Díaz-Agudo:
Case Base Elicitation for a Context-Aware Recommender System. ICCBR 2018: 170-185 - [c7]Jose L. Jorro-Aragoneses, Susana Bautista-Blasco:
Adaptation Process in Context-Aware Recommender System of Accessible Tourism Plan. ICWE Workshops 2018: 292-295 - 2017
- [c6]Gharbi Alshammari, Jose L. Jorro-Aragoneses, Stelios Kapetanakis, Miltos Petridis, Juan A. Recio-García, Belén Díaz-Agudo:
A Hybrid CBR Approach for the Long Tail Problem in Recommender Systems. ICCBR 2017: 35-45 - [c5]Juan A. Recio-García, Belén Díaz-Agudo, Jose Luis Jorro-Aragoneses, Alireza Kazemi:
Intelligent Control System for Back Pain Therapy. ICCBR 2017: 287-301 - [c4]Jose Luis Jorro-Aragoneses, Maria Belén Díaz-Agudo, Juan Antonio Recio-García:
Madrid Live: A Context-Aware Recomendar System of Leisure Plans. ICTAI 2017: 796-801 - [c3]Jose Luis Jorro-Aragoneses, Gineth Magaly Cerón-Rios, Maria Belén Díaz-Agudo, Juan A. Recio-García, Diego Mauricio Lopez Gutierrez:
RecOnto: An Ontology to Model Recommender Systems and its Components. ICTAI 2017: 815-821 - 2015
- [c2]Jose L. Jorro-Aragoneses, Belén Díaz-Agudo, Juan A. Recio-García:
Addressing the Cold-Start Problem in Facial Expression Recognition. ICCBR 2015: 197-211 - [c1]Jose L. Jorro-Aragoneses:
System to Design Context-Aware Social Recommender Systems. ICCBR (Workshops) 2015: 271-273
Coauthor Index
aka: Maria Belén Díaz-Agudo
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