Daniel Ayala Hernández

According to our database, Daniel Ayala Hernández authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SpaceRL-KG: Searching paths automatically combining embedding-based rewards with Reinforcement Learning in Knowledge Graphs.

Miguel Bermudo, Daniel Ayala, Inma Hernández, David Ruiz, Miguel Toro

Expert Syst. Appl., 2024

2023

Deep embeddings and Graph Neural Networks: using context to improve domain-independent predictions.

Fernando Sola, Daniel Ayala, Inma Hernández, David Ruiz

Appl. Intell., October, 2023

AYNEXT - tools for streamlining the evaluation of link prediction techniques.

Fernando Sola, Daniel Ayala, Rafael Ayala, Inma Hernández, Carlos R. Rivero, David Ruiz

SoftwareX, July, 2023

asteRisk - Integration and Analysis of Satellite Positional Data in R.

Rafael Ayala, Daniel Ayala, Lara Sellés Vidal, David Ruiz

R J., March, 2023

Neural Networks for Aircraft Trajectory Prediction: Answering Open Questions About Their Performance.

Daniel Ayala, Rafael Ayala, Lara Sellés Vidal, Inma Hernández, David Ruiz

IEEE Access, 2023

2022

Silence - A web framework for an agile generation of RESTful APIs.

Agustín Borrego, Miguel Bermudo, Fernando Sola, Daniel Ayala, Inma Hernández, David Ruiz

SoftwareX, December, 2022

LEAPME: Learning-based Property Matching with Embeddings.

Daniel Ayala, Inma Hernández, David Ruiz, Erhard Rahm

Data Knowl. Eng., 2022

2021

openSkies - Integration of Aviation Data into the R Ecosystem.

Rafael Ayala, Daniel Ayala, Lara Sellés Vidal, David Ruiz

R J., 2021

CAFE: Knowledge graph completion using neighborhood-aware features.

Agustín Borrego, Daniel Ayala, Inma Hernández, Carlos R. Rivero, David Ruiz

Eng. Appl. Artif. Intell., 2021

Towards the smart use of embedding and instance features for property matching.

Daniel Ayala Hernández, Inma Hernández, David Ruiz, Erhard Rahm

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

A neural network for semantic labelling of structured information.

Daniel Ayala, Agustín Borrego, Inma Hernández, David Ruiz

Expert Syst. Appl., 2020

2019

TAPON: A two-phase machine learning approach for semantic labelling.

Daniel Ayala, Inma Hernández, David Ruiz, Miguel Toro

Knowl. Based Syst., 2019

TAPON-MT: A versatile framework for semantic labelling.

Daniel Ayala, Inma Hernández, David Ruiz, Miguel Toro

Inf. Syst., 2019

Generating Rules to Filter Candidate Triples for their Correctness Checking by Knowledge Graph Completion Techniques.

Agustín Borrego, Daniel Ayala, Inma Hernández, Carlos R. Rivero, David Ruiz

Proceedings of the 10th International Conference on Knowledge Capture, 2019

AYNEC: All You Need for Evaluating Completion Techniques in Knowledge Graphs.

Daniel Ayala, Agustín Borrego, Inma Hernández, Carlos R. Rivero, David Ruiz

Proceedings of the Semantic Web - 16th International Conference, 2019

2016

On Verifying Information Extractors.

Daniel Ayala Hernández

Proceedings of the Trends in Practical Applications of Scalable Multi-Agent Systems, 2016