Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Maria N. Moreno-García"'
Auto-tagging system based on song’s latent representations for inferring contextual user information
Autor:
Alvaro Lozano Murciego, Diego M. Jiménez-Bravo, André Sales Mendes, Vivian F. López Batista, Maria N. Moreno-García
Publikováno v:
2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b920ccc32a40cef7683b435cd819878
https://doi.org/10.1109/wi-iat55865.2022.00040
https://doi.org/10.1109/wi-iat55865.2022.00040
Autor:
Alvaro Lozano Murciego, Diego M. Jiménez-Bravo, André Sales Mendes, Vivian F. López Baptista, Maria N. Moreno-García
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783031148583
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17f32cdc4b2fc7c0e4d5f297543f1444
https://doi.org/10.1007/978-3-031-14859-0_10
https://doi.org/10.1007/978-3-031-14859-0_10
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e37552- (2024)
The quantity and quality of a dataset play a crucial role in the performance of prediction models. Increasing the amount of data increases the computational requirements and can introduce negligible variations, outliers, and noise. These significantl
Externí odkaz:
https://doaj.org/article/a4e2c6e6ce494117a0d0e518707c4cfc
Multiple Inputs and Mixed Data for Alzheimer’s Disease Classification Based on 3D Vision Transformer
Publikováno v:
Mathematics, Vol 12, Iss 17, p 2720 (2024)
The current methods for diagnosing Alzheimer’s Disease using Magnetic Resonance Imaging (MRI) have significant limitations. Many previous studies used 2D Transformers to analyze individual brain slices independently, potentially losing critical 3D
Externí odkaz:
https://doaj.org/article/754852e14558486ab7a9111b30cb90bc
Autor:
Diego Sánchez-Moreno, Vivian F. López Batista, María Dolores Muñoz Vicente, Ángel Luis Sánchez Lázaro, María N. Moreno-García
Publikováno v:
Information, Vol 15, Iss 3, p 138 (2024)
Information from social networks is currently being widely used in many application domains, although in the music recommendation area, its use is less common because of the limited availability of social data. However, most streaming platforms allow
Externí odkaz:
https://doaj.org/article/70c57971da6d49d5a6b8a3154b1bf375
Publikováno v:
Information, Vol 14, Iss 2, p 131 (2023)
In today’s technology-driven society, many decisions are made based on the results provided by machine learning algorithms. It is widely known that the models generated by such algorithms may present biases that lead to unfair decisions for some se
Externí odkaz:
https://doaj.org/article/c56beed2d0824fc6808179794207f03c
Publikováno v:
Complexity, Vol 2021 (2021)
Sentiment analysis on public opinion expressed in social networks, such as Twitter or Facebook, has been developed into a wide range of applications, but there are still many challenges to be addressed. Hybrid techniques have shown to be potential mo
Externí odkaz:
https://doaj.org/article/b5036af86f694f4897606117685f0017
Publikováno v:
Information, Vol 12, Iss 12, p 506 (2021)
Nowadays, recommender systems are present in multiple application domains, such as e-commerce, digital libraries, music streaming services, etc. In the music domain, these systems are especially useful, since users often like to listen to new songs a
Externí odkaz:
https://doaj.org/article/92fd9dfa3d7a4b7da5a377475b216c87
Publikováno v:
Applied Sciences, Vol 11, Iss 18, p 8546 (2021)
In many application domains such as medicine, information retrieval, cybersecurity, social media, etc., datasets used for inducing classification models often have an unequal distribution of the instances of each class. This situation, known as imbal
Externí odkaz:
https://doaj.org/article/68ccb162cb164d2a89a8bed9bfcbb0d7
Publikováno v:
Sensors, Vol 21, Iss 16, p 5666 (2021)
Recommender systems have been applied in a wide range of domains such as e-commerce, media, banking, and utilities. This kind of system provides personalized suggestions based on large amounts of data to increase user satisfaction. These suggestions
Externí odkaz:
https://doaj.org/article/9e92862de8ed4bf19226d308d49a0270