Publicaciones (67) Publicaciones de JORGE DIEZ PELAEZ

2024

  1. Application of machine learning techniques to predict biodiesel iodine value

    Energy, Vol. 292

  2. Prediction of the cold flow properties of biodiesel using the FAME distribution and Machine learning techniques

    Journal of Molecular Liquids, Vol. 400

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. Lack of interest? Self and peer assessment as a means to improve students’ engagement

    Innovations in Education and Teaching International, Vol. 60, Núm. 2, pp. 218-226

  3. 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. Differences in the microRNAs Levels of Raw Milk from Dairy Cattle Raised under Extensive or Intensive Production Systems

    Veterinary Sciences, Vol. 9, Núm. 12

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

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

2020

  1. Caracterización morfológica y genética de poblaciones locales de maíz para forraje y grano: Avance de resultados

    Tecnología agroalimentaria: Boletín informativo del SERIDA, Núm. 23, pp. 6-11

  2. 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

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

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

2019

  1. Automatic plankton quantification using deep features

    Journal of Plankton Research, Vol. 41, Núm. 4, pp. 449-463

  2. Fast and accurate lung tumor spotting and segmentation for boundary delineation on CT slices in a coarse-to-fine framework

    Communications in Computer and Information Science

  3. 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