Publicaciones en las que colabora con OSCAR LUACES RODRIGUEZ (38)

2023

  1. All-in-one picture: visual summary of items in a recommender system

    Neural Computing and Applications, Vol. 35, Núm. 27, pp. 20339-20349

  2. Users' photos of items can reveal their tastes in a recommender system

    Information Sciences, Vol. 642, pp. 119227

2022

  1. 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

  2. User encoding for clustering in very sparse recommender systems tasks

    Multimedia Tools and Applications, Vol. 81, Núm. 2, pp. 2467-2488

2020

  1. 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

  2. Towards explainable personalized recommendations by learning from users’ photos

    Information Sciences, Vol. 520, pp. 416-430

2019

  1. Optimizing novelty and diversity in recommendations

    Progress in Artificial Intelligence, Vol. 8, Núm. 1, pp. 101-109

2018

  1. A new method to learn growth curves of beef cattle using a factorization approach

    Computers and Electronics in Agriculture, Vol. 151, pp. 77-83

  2. 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

  3. Deep Learning and Preference Learning for Object Tracking: A Combined Approach

    Neural Processing Letters, Vol. 47, Núm. 3, pp. 859-876

  4. 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

  1. 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

  2. Deep learning to frame objects for visual target tracking

    Engineering Applications of Artificial Intelligence, Vol. 65, pp. 406-420

  3. Paving the way for providing teaching feedback in automatic evaluation of open response assignments

    Proceedings of the International Joint Conference on Neural Networks

2016

  1. Combining deep learning and preference learning for object tracking

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. 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

  3. Using tensor products to detect unconditional label dependence in multilabel classifications

    Information Sciences, Vol. 329, pp. 20-32

2015

  1. A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments

    Knowledge-Based Systems, Vol. 85, pp. 322-328

  2. Analysis of nutrition data by means of a matrix factorization method

    Progress in Artificial Intelligence, Vol. 3, Núm. 3-4, pp. 119-127

  3. Including Content-Based Methods in Peer-Assessment of Open-Response Questions

    Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015