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Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance
(Elsevier, 2020)
Breast cancer is the most frequent cancer in women and the second most frequent overall after lung cancer. Although the 5-year survival rate of breast cancer is relatively high, recurrence is also common which often ...
Ponencia
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Ingeniería social en la práctica: descubriendo debilidades en la seguridad del factor humano en entornos sanitarios
(Sociedad de Ingeniería de Software y Tecnologías de Desarrollo de Software (SISTEDES), 2022)
La ciberseguridad es un conjunto de procedimientos y herramientas que permite proteger los recursos tanto de la empresa como de sus usuarios. Ade más, en un contexto industrial los sistemas contienen información sensible ...
Artículo
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Known by Who We Follow: A Biclustering Application to Community Detection
(IEEE Computer Society, 2020)
The detection of communities in social networks is a task with multiple applications both in research and in sectors such as marketing and politics among others. In this paper, we address the task of detecting on-line ...
Artículo
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CrimeNet: Neural Structured Learning using Vision Transformer for violence detection
(Elsevier, 2023-02-02)
The state of the art in violence detection in videos has improved in recent years thanks to deep learning models, but it is still below 90% of average precision in the most complex datasets, which may pose a problem of ...
Artículo
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Data Processing Unit for Energy Saving in Computer Vision: Weapon Detection Use Case
(2022-12-28)
The growth of the Internet has led to the emergence of servers that perform increasingly heavy tasks. Some servers must remain active 24 h a day, but the evolution of network cards has facilitated the use of Data Processing ...
Artículo
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On learning context-aware rules to link RDF datasets
(Oxford University Press, 2020-09-15)
Integrating RDF datasets has become a relevant problem for both researchers and practitioners. In the literature, there are many genetic proposals that learn rules that allow to link the resources that refer to the same ...
Artículo
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On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data
(MDPI, 2021)
Object detection using remote sensing data is a key task of the perception systems of self-driving vehicles. While many generic deep learning architectures have been proposed for this problem, there is little guidance ...
Artículo
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Digital persona portrayal: Identifying pluridentity vulnerabilities in digital life
(Elsevier, 2020)
The increasing use of the Internet for social purposes enriches the data available online about all of us and promotes the concept of the Digital Persona. Actually, most of us are represented online by more than one identity, ...
Artículo
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SLA-aware operational efficiency in AI-enabled service chains: challenges ahead
(Springer, 2022)
Service providers compose services in service chains that require deep integra tion of core operational information systems across organizations. Additionally, advanced analytics inform data-driven decision-making in ...
Ponencia
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CODICE: Un nuevo enfoque metodológico para el Procesamiento Inteligente de Documentos
(SISTEDES: Sociedad de Ingeniería de Software y Tecnologías de Desarrollo de Software, 2022-09)
La automatización de los procesos organizativos suele implicar el tratamiento de documentos en los que se emplean distintas técnicas de procesamiento. La Inteligencia Artificial (IA) y la Automatización Robótica de Procesos ...