Suivre
José Luis Jorro Aragoneses
José Luis Jorro Aragoneses
Autres nomsJose L. Jorro-Aragoneses, Jose Jorro-Aragoneses
Profesor Ayudante Doctor, Universidad Autónoma de Madrid
Adresse e-mail validée de uam.es
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Année
Madrid live: a context-aware recommender systems of leisure plans
JL Jorro-Aragoneses, MBD Agudo, JAR García
2017 IEEE 29th International Conference on Tools with Artificial …, 2017
302017
A hybrid CBR approach for the long tail problem in recommender systems
G Alshammari, JL Jorro-Aragoneses, S Kapetanakis, M Petridis, ...
Case-Based Reasoning Research and Development: 25th International Conference …, 2017
232017
A switching multi-level method for the long tail recommendation problem
G Alshammari, JL Jorro-Aragoneses, N Polatidis, S Kapetanakis, ...
Journal of Intelligent & Fuzzy Systems 37 (6), 7189-7198, 2019
122019
RecoLibry-core: A component-based framework for building recommender systems
JL Jorro-Aragoneses, JA Recio-García, B Díaz-Agudo, G Jimenez-Díaz
Knowledge-Based Systems 182, 104854, 2019
92019
Personalized case-based explanation of matrix factorization recommendations
J Jorro-Aragoneses, M Caro-Martinez, JA Recio-Garcia, B Diaz-Agudo, ...
Case-Based Reasoning Research and Development: 27th International Conference …, 2019
92019
A user-centric evaluation to generate case-based explanations using formal concept analysis
JL Jorro-Aragoneses, M Caro-Martínez, B Díaz-Agudo, JA Recio-García
International Conference on Case-Based Reasoning, 195-210, 2020
62020
RecoLibry Suite: a set of intelligent tools for the development of recommender systems
JL Jorro-Aragoneses, B Díaz-Agudo, JA Recio-García, G Jimenez-Díaz
Automated Software Engineering 27 (1), 63-89, 2020
62020
Explanation of recommenders using formal concept analysis
B Diaz-Agudo, M Caro-Martinez, JA Recio-Garcia, J Jorro-Aragoneses, ...
Case-Based Reasoning Research and Development: 27th International Conference …, 2019
62019
RecOnto: An ontology to model recommender systems and its components
JL Jorro-Aragoneses, GM Ceron-Rios, MB Díaz-Agudo, JA Recio-García, ...
2017 IEEE 29th International Conference on Tools with Artificial …, 2017
62017
Intelligent control system for back pain therapy
JA Recio-Garcia, B Díaz-Agudo, JL Jorro-Aragoneses, A Kazemi
Case-Based Reasoning Research and Development: 25th International Conference …, 2017
52017
A data-driven predictive system using Case-Based Reasoning for the configuration of device-assisted back pain therapy
JA Recio-García, B Díaz-Agudo, A Kazemi, JL Jorro
Journal of Experimental & Theoretical Artificial Intelligence 33 (4), 617-635, 2021
42021
User Evaluation to Measure the Perception of Similarity Measures in Artworks
B Díaz-Agudo, G Jimenez-Diaz, JL Jorro-Aragoneses
International Conference on Case-Based Reasoning, 48-63, 2021
32021
A switching approach that improves prediction accuracy for long tail recommendations
G Alshammari, JL Jorro-Aragoneses, S Kapetanakis, N Polatidis, ...
Intelligent Systems and Applications: Proceedings of the 2019 Intelligent …, 2020
22020
Adaptation process in context-aware recommender system of accessible tourism plan
JL Jorro-Aragoneses, S Bautista-Blasco
Current Trends in Web Engineering: ICWE 2018 International Workshops, MATWEP …, 2018
22018
Optimization of a CBR system for emotional tagging of facial expressions
JL Jorro-Aragoneses, B Dıaz-Agudo, JA Recio-Garcıa
UKCBR, 2014
22014
Jorro-Aragoneses, Stelios Kapetanakis, Miltos Petridis, Juan A Recio-García, and Belén Díaz-Agudo. A hybrid cbr approach for the long tail problem in recommender systems
G Alshammari, L Jose
International Conference on Case-Based Reasoning, 35-45, 0
2
Addressing the cold-start problem in facial expression recognition
JL Jorro-Aragoneses, B Díaz-Agudo, JA Recio-García
Case-Based Reasoning Research and Development: 23rd International Conference …, 2015
12015
CBR tagging of emotions from facial expressions
JL Jorro-Aragoneses, B Dıaz-Agudo, JA Recio-Garcıa
Case-Based Reasoning Research and Development (ICCBR), Springer, 2014
12014
Una plataforma basada en conocimiento para la construcción de sistemas recomendadores
JL Jorro Aragoneses
Universidad Complutense de Madrid, 2021
2021
Una plataforma basada en conocimiento para la construcción de sistemas recomendadores
JLJ Aragoneses
Universidad Complutense de Madrid, 2020
2020
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