JORGE
DIEZ PELAEZ
Profesor Titular de Universidad
ANTONIO
BAHAMONDE RIONDA
Catedrático de Universidad
Publicaciones en las que colabora con ANTONIO BAHAMONDE RIONDA (43)
2023
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All-in-one picture: visual summary of items in a recommender system
Neural Computing and Applications, Vol. 35, Núm. 27, pp. 20339-20349
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Users' photos of items can reveal their tastes in a recommender system
Information Sciences, Vol. 642, pp. 119227
2022
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Correction to: User encoding for clustering in very sparse recommender systems tasks (Multimedia Tools and Applications, (2022), 81, 2, (2467-2488), 10.1007/s11042-021-11564-x)
Multimedia Tools and Applications
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User encoding for clustering in very sparse recommender systems tasks
Multimedia Tools and Applications, Vol. 81, Núm. 2, pp. 2467-2488
2020
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Improving recommender systems by encoding items and user profiles considering the order in their consumption history
Progress in Artificial Intelligence, Vol. 9, Núm. 1, pp. 67-75
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Towards explainable personalized recommendations by learning from users’ photos
Information Sciences, Vol. 520, pp. 416-430
2019
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Optimizing novelty and diversity in recommendations
Progress in Artificial Intelligence, Vol. 8, Núm. 1, pp. 101-109
2018
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A new method to learn growth curves of beef cattle using a factorization approach
Computers and Electronics in Agriculture, Vol. 151, pp. 77-83
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A peer assessment method to provide feedback, consistent grading and reduce students’ burden in massive teaching settings
Computers and Education, Vol. 126, pp. 283-295
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Representaciones basadas en redes neuronales para tareas de recomendación
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
2017
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Content-based methods in peer assessment of open-response questions to grade students as authors and as graders
Knowledge-Based Systems, Vol. 117, pp. 79-87
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Paving the way for providing teaching feedback in automatic evaluation of open response assignments
Proceedings of the International Joint Conference on Neural Networks
2016
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El deprendizax automáticu computacional na valoración d'exemplares bovinos d'Asturiana de los Valles
Ciencies. Cartafueyos Asturianos de Ciencia y Teunoloxía: Revista de la Academia de la Llingua Asturiana, Núm. 6, pp. 46-61
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Using tensor products to detect unconditional label dependence in multilabel classifications
Information Sciences, Vol. 329, pp. 20-32
2015
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A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments
Knowledge-Based Systems, Vol. 85, pp. 322-328
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Analysis of nutrition data by means of a matrix factorization method
Progress in Artificial Intelligence, Vol. 3, Núm. 3-4, pp. 119-127
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Including Content-Based Methods in Peer-Assessment of Open-Response Questions
Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015
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Mapping preferences into Euclidean space
Expert Systems with Applications, Vol. 42, Núm. 22, pp. 8588-8596
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Optimizing different loss functions in multilabel classifications
Progress in Artificial Intelligence, Vol. 3, Núm. 2, pp. 107-118
2012
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Binary relevance efficacy for multilabel classification
Progress in Artificial Intelligence, Vol. 1, Núm. 4, pp. 303-313