Publicaciones (99) Publicaciones de ANTONIO BAHAMONDE RIONDA

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

2021

  1. Artificial intelligence as an analytic approximation to evaluate associations between parental feeding behaviours and excess weight in Colombian preschoolers

    British Journal of Nutrition, Vol. 126, Núm. 1, pp. 131-137

  2. Scalable feature selection using ReliefF aided by locality-sensitive hashing

    International Journal of Intelligent Systems, Vol. 36, Núm. 11, pp. 6161-6179

2020

  1. Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing

    ACM Transactions on Intelligent Systems and Technology, Vol. 11, Núm. 6

  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. A scalable decision-tree-based method to explain interactions in dyadic data

    Decision Support Systems, Vol. 127

  2. Large scale anomaly detection in mixed numerical and categorical input spaces

    Information Sciences, Vol. 487, pp. 115-127

  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. Interpretable Market Segmentation on High Dimension Data

    XoveTIC Congress 2018

  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

  5. Segmentación de mercado explicable sobre datos de alta dimensión

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  6. Selección de características escalable con ReliefF mediante el uso de Hashing Sensible a la Localidad

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

    Proceedings of the International Joint Conference on Neural Networks