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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 ...
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Automated Metamorphic Testing on the Analyses of Feature Models
(Elsevier, 2011)
Context. A Feature Model (FM) represents the valid combinations of features in a domain. The automated extraction of information from FMs is a complex task that involves numerous analysis operations, techniques and tools. ...
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Ingeniería de Requisitos en Aplicaciones para la Web – Un estudio comparativo (LSI-2002-04)
(2002)
El avance de Internet y las comunicaciones de los últimos años ha provocado un interés creciente por el desarrollo de propuestas metodológicas que ofrezcan un marco de referencia adecuado cuando se desarrolla un sistema ...
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PPI Definition and Automated Design-Time Analysis (v 1.0) : Technical Report ISA–12–TR–02
(2012)
The measurement of process performance and its analysis is crucial for the consecution of strategic and operational goals in any process-oriented organisation. These activities, like other activities carried out during ...
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NDT-Suite: A Methodological Tool Solution in the Model-Driven Engineering Paradigm
(SCIRP: Scientific Research Publishing, 2014)
Although the Model-Driven paradigm is being accepted in the research environment as a very useful and powerful option for effective software development, its real application in the enter prise context is still a challenge ...
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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 ...
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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 ...
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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 ...