Directorio
DANIEL AYALA HERNANDEZ
Categoría
Profesor Ayudante Doctor
Contacto
Correo electrónico
Departamento
Área
Lenguajes y Sistema Informáticos
Docencia
Asignaturas que imparte
- Introducción a la Ingeniería del Software y los Sistemas de Información I
- Introducción a la Ingeniería del Software y los Sistemas de Información II
- Introducción a la Ingeniería del Software y los Sistemas de Información I
- Introducción a la Ingeniería del Software y los Sistemas de Información II
- Análisis y Diseño de Datos y Algoritmos
- Introducción a la Ingeniería del Software y los Sistemas de Información I
- Introducción a la Ingeniería del Software y los Sistemas de Información II
- Introducción a la Ingeniería del Software y los Sistemas de Información II
- Ingeniería Cloud: Tecnologías de Cliente
Investigación
Grupo de investigación
SISTEMAS INFORMATICOS (SISTEMAS INFORMATICOS)
Proyectos y contratos de investigación
DESK: Ingeniería de los Datos Como Soporte a los Grafos de Conocimiento (PID2019-105471RB-I00 - Participante)
Herramientas para la Ciencia de los Datos de la Web (TIN2016-75394-R - Investigador/a)
Grado Software (TIN2013-40848-R - Investigador/a)
Semantization and Publication of Open Data to Integrate Electronic Services (TIN2013-40848-R - Investigador/a)
Asistencia a congresos
Ayala, Daniel;Inma Hernández;Ruiz-Cortés, David:
Towards the smart use of embedding and instance features for property matching. Ponencia en Congreso. International Conference on Data Engineering. La Canea, Grecia. 2021
Towards the smart use of embedding and instance features for property matching. Ponencia en Congreso. International Conference on Data Engineering. La Canea, Grecia. 2021
Borrego, Agustín;Ayala, Daniel;Inma Hernández;Rivero-Osuna, Carlos;Ruiz-Cortés, David:
Generating Rules to Filter Candidate Triples for their Correctness Checking by Knowledge Graph Completion Techniques. Ponencia en Congreso. 10th International Conference on Knowledge Capture. MARINA DEL REY, CALIFORNIA. 2019
Generating Rules to Filter Candidate Triples for their Correctness Checking by Knowledge Graph Completion Techniques. Ponencia en Congreso. 10th International Conference on Knowledge Capture. MARINA DEL REY, CALIFORNIA. 2019
Ayala, Daniel;Borrego, Agustín;Inma Hernández;Rivero-Osuna, Carlos;Ruiz-Cortés, David:
AYNEC-DataGen: a tool for generating evaluation datasets for Knowledge Graphs completion. Ponencia en Congreso. Jornadas de Ingeniería del Software y Bases de Datos 2019. Cáceres. 2019
AYNEC-DataGen: a tool for generating evaluation datasets for Knowledge Graphs completion. Ponencia en Congreso. Jornadas de Ingeniería del Software y Bases de Datos 2019. Cáceres. 2019
Ayala, Daniel;Borrego, Agustín;Inma Hernández;Rivero-Osuna, Carlos;Ruiz-Cortés, David:
AYNEC: All You Need for Evaluating Completion Techniques in Knowledge Graphs. Ponencia en Congreso. 16th Extended Semantic Web Conference. Portorož, Eslovenia. 2019
AYNEC: All You Need for Evaluating Completion Techniques in Knowledge Graphs. Ponencia en Congreso. 16th Extended Semantic Web Conference. Portorož, Eslovenia. 2019
Ayala, Daniel:
14th International Conference on Practical Applications of Agents and Multi-Agent Systems. Comunicación en congreso. PAAMS-Special Sessions on Multi-Agent Systems and Ambient Intelligence (MASAI). Sevilla. 2016
14th International Conference on Practical Applications of Agents and Multi-Agent Systems. Comunicación en congreso. PAAMS-Special Sessions on Multi-Agent Systems and Ambient Intelligence (MASAI). Sevilla. 2016
Artículos publicados
Ayala, Daniel;Ayala-, Rafael;Inma Hernández;Rivero-Osuna, Carlos;Ruiz-Cortés, David:
AYNEXT - tools for streamlining the evaluation of link prediction techniques. SoftwareX. 2023. Vol: 23. 10.1016/j.softx.2023.101474.
AYNEXT - tools for streamlining the evaluation of link prediction techniques. SoftwareX. 2023. Vol: 23. 10.1016/j.softx.2023.101474.
Ayala, Daniel;Ayala-, Rafael;Inma Hernández;Ruiz-Cortés, David:
Neural Networks for Aircraft Trajectory Prediction: Answering Open Questions About Their Performance. IEEE Access. 2023. Vol: 11. Pág. 26593-26610. 10.1109/ACCESS.2023.3255404.
Neural Networks for Aircraft Trajectory Prediction: Answering Open Questions About Their Performance. IEEE Access. 2023. Vol: 11. Pág. 26593-26610. 10.1109/ACCESS.2023.3255404.
Ayala, Daniel;Inma Hernández;Ruiz-Cortés, David:
Deep embeddings and Graph Neural Networks: using context to improve domain-independent predictions. Applied Intelligence. 2023. Vol: 53. Pág. 22415-22428. 10.1007/s10489-023-04685-3.
Deep embeddings and Graph Neural Networks: using context to improve domain-independent predictions. Applied Intelligence. 2023. Vol: 53. Pág. 22415-22428. 10.1007/s10489-023-04685-3.
Ayala, Daniel;Inma Hernández;Ruiz-Cortés, David;Rahm, Erhard:
Leapme: Learning-based property matching with embeddings. Data and Knowledge Engineering. 2022. Vol: 137. 10.1016/j.datak.2021.101943.
Leapme: Learning-based property matching with embeddings. Data and Knowledge Engineering. 2022. Vol: 137. 10.1016/j.datak.2021.101943.
Borrego, Agustín;Ayala, Daniel;Inma Hernández;Ruiz-Cortés, David:
Silence - A web framework for an agile generation of RESTful APIs. SoftwareX. 2022. Vol: 20. 10.1016/j.softx.2022.101260.
Silence - A web framework for an agile generation of RESTful APIs. SoftwareX. 2022. Vol: 20. 10.1016/j.softx.2022.101260.
Borrego, Agustín;Ayala, Daniel;Inma Hernández;Rivero-Osuna, Carlos;Ruiz-Cortés, David:
CAFE: Knowledge graph completion using neighborhood-aware features. Engineering Applications Of Artificial Intelligence. 2021. Vol: 103. 10.1016/j.engappai.2021.104302.
CAFE: Knowledge graph completion using neighborhood-aware features. Engineering Applications Of Artificial Intelligence. 2021. Vol: 103. 10.1016/j.engappai.2021.104302.
Ayala-hernández, Rafael;Ayala, Daniel;Sellés-vidal, Lara;Ruiz-Cortés, David:
openSkies-Integration of Aviation Data into the R Ecosystem. The R Journal. 2021. 10.32614/RJ-2021-095.
openSkies-Integration of Aviation Data into the R Ecosystem. The R Journal. 2021. 10.32614/RJ-2021-095.
Ayala, Daniel;Borrego, Agustín;Inma Hernández;Ruiz-Cortés, David:
A neural network for semantic labelling of structured information. Expert Systems With Applications. 2020. Vol: 143. 10.1016/j.eswa.2019.113053.
A neural network for semantic labelling of structured information. Expert Systems With Applications. 2020. Vol: 143. 10.1016/j.eswa.2019.113053.
Ayala, Daniel;Inma Hernández;Ruiz-Cortés, David;Toro-Bonilla, Miguel:
TAPON: A two-phase machine learning approach for semantic labelling. Knowledge-Based Systems. 2019. Vol: 163. Pág. 931-943. 10.1016/j.knosys.2018.10.017.
TAPON: A two-phase machine learning approach for semantic labelling. Knowledge-Based Systems. 2019. Vol: 163. Pág. 931-943. 10.1016/j.knosys.2018.10.017.
Ayala, Daniel;Inma Hernández;Ruiz-Cortés, David;Toro-Bonilla, Miguel:
TAPON-MT: A versatile framework for semantic labelling. Information Systems. 2019. Vol: 83. Pág. 57-68. 10.1016/j.is.2018.12.006.
TAPON-MT: A versatile framework for semantic labelling. Information Systems. 2019. Vol: 83. Pág. 57-68. 10.1016/j.is.2018.12.006.
Ayala, Daniel;Roldán, Juan Carlos;Ruiz-Cortés, David;Ortega-Gallego, Fernando:
An approach for discovering keywords from Spanish tweets using Wikipedia. Advances in Distributed Computing and Artificial Intelligence Journal. 2015. Vol: 4. Núm: 2. Pág. 73-87. 10.14201/ADCAIJ2015427388.
An approach for discovering keywords from Spanish tweets using Wikipedia. Advances in Distributed Computing and Artificial Intelligence Journal. 2015. Vol: 4. Núm: 2. Pág. 73-87. 10.14201/ADCAIJ2015427388.
