E-LIB Suche - Ergebnisse für: Luaces, Oscar

1

Eye-LRCN: A Long-Term Recurrent Convolutional Network for E..:

de la Cruz, Gonzalo ; Lira, Madalena ; Luaces, Oscar.
IEEE Transactions on Neural Networks and Learning Systems. 35 (2024) 4 - p. 5130-5140 , 2024

Link: https://doi.org/10.1109/..

2

Users' photos of items can reveal their tastes in a recomme..:

Pérez-Núñez, Pablo ; Díez, Jorge ; Luaces, Oscar..
Information Sciences. 642 (2023) - p. 119227 , 2023

Link: https://doi.org/10.1016/..

3

All-in-one picture: visual summary of items in a recommende..:

Pérez-Núñez, Pablo ; Díez, Jorge ; Remeseiro, Beatriz..
Neural Computing and Applications. 35 (2023) 27 - p. 20339-20349 , 2023

Link: https://doi.org/10.1007/..

4

Correction to: User encoding for clustering in very sparse ..:

Pérez-Núnez, Pablo ; Díez, Jorge ; Luaces, Oscar.
Multimedia Tools and Applications. 81 (2022) 23 - p. 34165-34166 , 2022

Link: https://doi.org/10.1007/..

5

User encoding for clustering in very sparse recommender sys..:

Pérez-Núnez, Pablo ; Díez, Jorge ; Luaces, Oscar.
Multimedia Tools and Applications. 81 (2021) 2 - p. 2467-2488 , 2021

Link: https://doi.org/10.1007/..

6

Towards explainable personalized recommendations by learnin..:

Díez, Jorge ; Pérez-Núñez, Pablo ; Luaces, Oscar..
Information Sciences. 520 (2020) - p. 416-430 , 2020

Link: https://doi.org/10.1016/..

7

Improving recommender systems by encoding items and user pr..:

Pérez-Núñez, Pablo ; Luaces, Oscar ; Bahamonde, Antonio.
Progress in Artificial Intelligence. 9 (2019) 1 - p. 67-75 , 2019

Link: https://doi.org/10.1007/..

8

A new method to learn growth curves of beef cattle using a ..:

Alonso, Jaime ; Díez, Jorge ; Luaces, Oscar.
Computers and Electronics in Agriculture. 151 (2018) - p. 77-83 , 2018

Link: https://doi.org/10.1016/..

9

A peer assessment method to provide feedback, consistent gr..:

Luaces, Oscar ; Díez, Jorge ; Bahamonde, Antonio
Computers & Education. 126 (2018) - p. 283-295 , 2018

Link: https://doi.org/10.1016/..

10

Optimizing novelty and diversity in recommendations:

Díez, Jorge ; Martínez-Rego, David ; Alonso-Betanzos, Amparo..
Progress in Artificial Intelligence. 8 (2018) 1 - p. 101-109 , 2018

Link: https://doi.org/10.1007/..

11

Deep learning to frame objects for visual target tracking:

Pang, Shuchao ; del Coz, Juan José ; Yu, Zhezhou..
Engineering Applications of Artificial Intelligence. 65 (2017) - p. 406-420 , 2017

Link: https://doi.org/10.1016/..

12

Content-based methods in peer assessment of open-response q..:

Luaces, Oscar ; Díez, Jorge ; Alonso-Betanzos, Amparo..
Knowledge-Based Systems. 117 (2017) - p. 79-87 , 2017

Link: https://doi.org/10.1016/..

13

Deep Learning and Preference Learning for Object Tracking: ..:

Pang, Shuchao ; del Coz, Juan José ; Yu, Zhezhou..
Neural Processing Letters. 47 (2017) 3 - p. 859-876 , 2017

Link: https://doi.org/10.1007/..

14

Advances in Artificial Intelligence

17th Conference of the Spanish Association for Artificial I... Lecture Notes in Computer Science ; 9868;Lecture Notes in Artificial Intelligence ; 9868;SpringerLink, Bücher;Springer eBook Collection, Computer Science

Luaces, Oscar ; Gámez, José A. ; Barrenechea, Edurne... , 2016

Link: https://doi.org/10.1007/..

15

Using tensor products to detect unconditional label depende..:

Díez, Jorge ; del Coz, Juan José ; Luaces, Oscar.
Information Sciences. 329 (2016) - p. 20-32 , 2016

Link: https://doi.org/10.1016/..