Perfil del autor: Ayala Hernández, Daniel
Datos institucionales
| Nombre | Ayala Hernández, Daniel |
| Departamento | Lenguajes y Sistemas Informáticos |
| Área de conocimiento | Lenguajes y Sistemas Informáticos |
| Categoría profesional | Profesor Ayudante Doctor |
| Correo electrónico | Solicitar |
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Estadísticas
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Nº publicaciones
22
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Nº visitas
2189
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Nº descargas
3846
| Publicaciones |
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Artículo
 Deep embeddings and Graph Neural Networks: using context to improve domain-independent predictions
(SprigerLink, 2023)
Graph neural networks (GNNs) are deep learning architectures that apply graph convolutions through message-passing processes ... |
Artículo
Neural Networks for Aircraft Trajectory Prediction: Answering Open Questions About Their Performance
(IEEE, 2023)
The increase in air traffic in the recent years has motivated the development of technologies to monitor air space and ... |
Trabajo Fin de Grado
Machine Learning aplicado a la propagación de alta precisión de trayectorias de satélites
(2023)
La predicción precisa de las posiciones de los satélites es fundamental para una amplia gama de aplicaciones, que van desde ... |
| Artículo |
Artículo
Multi-source dataset of e-commerce products with attributes for property matching
(Elsevier, 2022)
Schema/ontology matching consists in finding matches between types, properties and entities in heterogeneous sources of ... |
Artículo
LEAPME: learning-based property matching with embeddings
(Elsevier, 2022)
Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities ... |
Trabajo Fin de Máster
Deep embeddings and Graph Neural Networks: can context improve domain-independent predictions?
(2022)
Graph neural networks (GNNs) are deep learning architectures that apply graph convolutions through message-passing processes ... |
Ponencia
Silence: un framework de apoyo a la docencia de desarrollo web
(Asociación de Enseñantes Universitarios de la Informática, 2021)
La programación web es, actualmente, una de las vertientes más importantes de la informática en la industria nacional e ... |
Ponencia
Towards the smart use of embedding and instance features for property matching
(IEEE Computer Society, 2021)
Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities ... |
Artículo
CAFE: Knowledge graph completion using neighborhood-aware features
(Elsevier, 2021)
Knowledge Graphs (KGs) currently contain a vast amount of structured information in the form of entities and relations. ... |
Artículo
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 ... |
Tesis Doctoral
On Data Engineering and Knowledge Graphs - A holistic, smarter approach to data enrichment
(2020)
The recent years have seen an increased interest in the development of large, structured data sources that allow the ... |
Artículo
 A neural network for semantic labelling of structured information
(Elsevier, 2020)
Intelligent systems rely on rich sources of information to make informed decisions. Using information from external sources ... |
Artículo
CAFE: Fact Checking in Knowledge Graphs using Neighborhood-Aware Features
(IOS Press, 2020)
Knowledge Graphs (KGs) currently contain a vast amount of structured information in the form of entities and relations. Because ... |
Artículo
LEAPME: Learning-based Property Matching with Embeddings
(Cornell University, 2020)
Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities ... |
Artículo
TAPON-MT: a versatile framework for semantic labelling
(Elsevier, 2019)
Semantic labelling refers to the problem of assigning known labels to the elements of structured information from a source ... |
Ponencia
AYNEC: All you need for evaluating completion techniques in knowledge graphs
(Springer, 2019)
The popularity of knowledge graphs has led to the development of techniques to refine them and increase their quality. One ... |
Artículo
TAPON: a two-phase machine learning approach for semantic labelling
(Elsevier, 2019)
Through semantic labelling we enrich structured information from sources such as HTML pages, tables, or JSON files, with ... |
Ponencia
AYNEC-DataGen: a tool for generating evaluation datasets for Knowledge Graphs completion
(SISTEDES: Ingeniería de Software y las Tecnologías de Desarrollo de Software, 2019)
In the context of knowledge graphs, the task of completion of relations consists in adding missing triples to a knowledge ... |
Ponencia
Generating Rules to Filter Candidate Triples for their Correctness Checking by Knowledge Graph Completion Techniques
(ACM Digital Library, 2019)
Knowledge Graphs (KGs) contain large amounts of structured information. Due to their inherent incompleteness, a process ... |
Ponencia
On Verifying Information Extractors
(Springer, 2016)
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Artículo
An approach for discovering keywords from Spanish tweets using Wikipedia
(Universidad de Salamanca, 2015)
Most approaches to keywords discovery when analyzing microblogging messages (among them those from Twitter) are based on ... |