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EDUFYSoS: A Factory of Educational System of Systems Case Studies
(IEEE Computer Society, 2020)
We propose a factory of educational System of Systems (SoS) case studies that can be used for evaluating SoS research results, in particular in SoS testing. The factory includes a first set of constituent systems that can ...
Capítulo de Libro
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Introductory Chapter: An Overview to the Internet of Things
(IntechOpen, 2023-02-08)
Artículo
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openSkies - Integration of Aviation Data into the R Ecosystem
(The R Foundation, 2021)
Aviation data has become increasingly more accessible to the public thanks to the adoption of technologies such as Automatic Dependent Surveillance-Broadcast (ADS-B) and Mode S, which provide aircraft information over ...
Ponencia
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A Parallelized Variant of Junker’s QUICKXPLAIN Algorithm
(Springer, 2020)
Conflict detection is used in many scenarios ranging from interactive decision making to the diagnosis of potentially faulty hardware components or models. In these scenarios, the efficient identification of conflicts ...
Artículo
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Model-Based Software Design and Testing in Blockchain Smart Contracts: A Systematic Literature Review
(IEEE Computer Society, 2020)
Blockchain technology promises to spark a real revolution. One of most important concepts associated with this technology is smart contracts, which enable the automatic execution of agreements and augur a world without ...
Artículo
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Generation of synthetic data with Conditional Generative Adversarial Networks
(Oxford University Press, 2022)
The generation of synthetic data is becoming a fundamental task in the daily life of any organization due to the new protection data laws that are emerging. Because of the rise in the use of Artificial Intelligence, one ...
Artículo
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A neural network for semantic labelling of structured information
(Elsevier, 2020-04-01)
Intelligent systems rely on rich sources of information to make informed decisions. Using information from external sources requires establishing correspondences between the information and known information classes. This ...
Ponencia
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Selecting Suitable Configurations for Automated Link Discovery
(ACM Digital Library, 2020)
Linking individuals in one dataset to other same individuals in existing datasets is a major problem known as link discovery. Existing automated link discovery techniques make users responsible for selecting suitable ...
Artículo
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Deep embeddings and Graph Neural Networks: using context to improve domain-independent predictions
(SprigerLink, 2023-06-28)
Graph neural networks (GNNs) are deep learning architectures that apply graph convolutions through message-passing processes between nodes, represented as embeddings. GNNs have recently become popular because of their ...
Tesis Doctoral
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Aplicación de los principios de las pruebas tempranas durante el ciclo de vida de desarrollo de los smart contracts en la tecnología blockchain
(2023-11-21)
Los sistemas software son cada vez más multidisciplinares y complejos. Su implementación de forma satisfactoria se ha convertido en un desafío continuo para cualquier tipo de empresa u organismo. Llevar a cabo la “transformación ...