Прати
Daniel Ayala Hernández
Daniel Ayala Hernández
Researcher at University of Seville
Верификована је имејл адреса на us.es - Почетна страница
Наслов
Навело
Навело
Година
An approach for discovering keywords from Spanish tweets using Wikipedia
D Ayala, JC Roldán, D Ruiz, FO Gallego
Ediciones Universidad de Salamanca (España), 2015
50*2015
CAFE: Knowledge graph completion using neighborhood-aware features
A Borrego, D Ayala, I Hernández, CR Rivero, D Ruiz
Engineering Applications of Artificial Intelligence 103, 104302, 2021
302021
Leapme: Learning-based property matching with embeddings
D Ayala, I Hernández, D Ruiz, E Rahm
Data & Knowledge Engineering 137, 101943, 2022
222022
Generating rules to filter candidate triples for their correctness checking by knowledge graph completion techniques
A Borrego, D Ayala, I Hernández, CR Rivero, D Ruiz
Proceedings of the 10th international conference on knowledge capture, 115-122, 2019
212019
AYNEC: all you need for evaluating completion techniques in knowledge graphs
D Ayala, A Borrego, I Hernández, CR Rivero, D Ruiz
The Semantic Web: 16th International Conference, ESWC 2019, Portorož …, 2019
202019
TAPON: A two-phase machine learning approach for semantic labelling
D Ayala, I Hernández, D Ruiz, M Toro
Knowledge-Based Systems 163, 931-943, 2019
172019
Deep embeddings and Graph Neural Networks: using context to improve domain-independent predictions
F Sola, D Ayala, I Hernández, D Ruiz
Applied Intelligence 53 (19), 22415-22428, 2023
62023
A neural network for semantic labelling of structured information
D Ayala, A Borrego, I Hernández, D Ruiz
Expert Systems with Applications 143, 113053, 2020
62020
Silence—A web framework for an agile generation of RESTful APIs
A Borrego, M Bermudo, F Sola, D Ayala, I Hernández, D Ruiz
SoftwareX 20, 101260, 2022
42022
Tapon-mt: A versatile framework for semantic labelling
D Ayala, I Hernández, D Ruiz, M Toro
Information Systems 83, 57-68, 2019
42019
AYNEXT-tools for streamlining the evaluation of link prediction techniques
F Sola, D Ayala, R Ayala, I Hernández, CR Rivero, D Ruiz
SoftwareX 23, 101474, 2023
32023
Neural Networks for Aircraft Trajectory Prediction: Answering Open Questions About Their Performance
D Ayala Hernández, R Ayala, L Sellés Vidal, IC Hernández Salmerón
IEEE, 2023
3*2023
Towards the smart use of embedding and instance features for property matching
D Ayala, I Hernández, D Ruiz, E Rahm
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2111-2116, 2021
32021
openSkies: Integration of Aviation Data into the R Ecosystem
R Ayala, D Ayala, LS Vidal, D Ruiz
32021
SpaceRL-KG: Searching paths automatically combining embedding-based rewards with Reinforcement Learning in Knowledge Graphs
M Bermudo, D Ayala, I Hernández, D Ruiz, M Toro
Expert Systems with Applications 255, 124410, 2024
22024
Multi-source dataset of e-commerce products with attributes for property matching
D Ayala, I Hernández, D Ruiz, E Rahm
Data in Brief 41, 107884, 2022
22022
ginmappeR: an unified approach for integrating gene and protein identifiers across biological sequence databases
F Sola, D Ayala, M Pulido, R Ayala, L López-Cerero, I Hernández, D Ruiz
Bioinformatics Advances 4 (1), vbae129, 2024
12024
CAFE: Fact checking in knowledge graphs using neighborhood-aware features
A Borrego, D Ayala, I Hernández, CR Rivero, D Ruiz
Semantic Web, 2020
12020
SpaceRL—A reinforcement learning-based knowledge graph driver
M Bermudo, D Ayala, I Hernández, D Ruiz, M Toro
SoftwareX 30, 102078, 2025
2025
Corrigendum to “Gintegrator: Enhancing biological sequences data integration with real-time identifier translation”[SoftwareX, Volume 29 (2025), 102041]
F Sola, D Ayala, M Pulido, R Ayala, L López-Cerero, I Hernández, D Ruiz
SoftwareX, 102100, 2025
2025
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