On Verifying Information Extractors. - Daniel Ayala Hernández (PAAMS (Special Sessions), 2016)

AYNEC: All You Need for Evaluating Completion Techniques in Knowledge Graphs. - Daniel Ayala 001; Agustín Borrego; Inma Hernández; Carlos R. Rivero; David Ruiz 001 (ESWC, 2019)

Generating Rules to Filter Candidate Triples for their Correctness Checking by Knowledge Graph Completion Techniques. - Agustín Borrego; Daniel Ayala 001; Inma Hernández; Carlos R. Rivero; David Ruiz 001 (K-CAP, 2019)

TAPON-MT: A versatile framework for semantic labelling. - Daniel Ayala 001; Inma Hernández; David Ruiz 001; Miguel Toro (Inf. Syst., 2019)

TAPON: A two-phase machine learning approach for semantic labelling. - Daniel Ayala 001; Inma Hernández; David Ruiz 001; Miguel Toro (Knowl. Based Syst., 2019)

A neural network for semantic labelling of structured information. - Daniel Ayala 001; Agustín Borrego; Inma Hernández; David Ruiz 001 (Expert Syst. Appl., 2020)

Towards the smart use of embedding and instance features for property matching. - Daniel Ayala Hernández; Inma Hernández; David Ruiz 001; Erhard Rahm (ICDE, 2021)

CAFE: Knowledge graph completion using neighborhood-aware features. - Agustín Borrego; Daniel Ayala 001; Inma Hernández; Carlos R. Rivero; David Ruiz 001 (Eng. Appl. Artif. Intell., 2021)

openSkies - Integration of Aviation Data into the R Ecosystem. - Rafael Ayala; Daniel Ayala 001; Lara Sellés Vidal; David Ruiz 001 (R J., 2021)

LEAPME: Learning-based Property Matching with Embeddings. - Daniel Ayala 001; Inma Hernández; David Ruiz 001; Erhard Rahm (Data Knowl. Eng., 2022)

Silence - A web framework for an agile generation of RESTful APIs. - Agustín Borrego; Miguel Bermudo; Fernando Sola; Daniel Ayala 001; Inma Hernández; David Ruiz 001 (SoftwareX, 2022)

Neural Networks for Aircraft Trajectory Prediction: Answering Open Questions About Their Performance. - Daniel Ayala 001; Rafael Ayala; Lara Sellés Vidal; Inma Hernández; David Ruiz 001 (IEEE Access, 2023)

asteRisk - Integration and Analysis of Satellite Positional Data in R. - Rafael Ayala; Daniel Ayala 001; Lara Sellés Vidal; David Ruiz 001 (R J., 2023)

AYNEXT - tools for streamlining the evaluation of link prediction techniques. - Fernando Sola; Daniel Ayala 001; Rafael Ayala; Inma Hernández; Carlos R. Rivero; David Ruiz 001 (SoftwareX, 2023)

Deep embeddings and Graph Neural Networks: using context to improve domain-independent predictions. - Fernando Sola; Daniel Ayala 001; Inma Hernández; David Ruiz 001 (Appl. Intell., 2023)

SpaceRL-KG: Searching paths automatically combining embedding-based rewards with Reinforcement Learning in Knowledge Graphs. - Miguel Bermudo; Daniel Ayala 001; Inma Hernández; David Ruiz 001; Miguel Toro (Expert Syst. Appl., 2024)

Refining satellite trajectories with celestial body features using neural networks. - José Calderón; Daniel Ayala 001; Rafael Ayala; Luis Valencia-Cabrera; Inma Hernández; David Ruiz 001 (Expert Syst. Appl., 2025)

Research hypothesis generation over scientific knowledge graphs. - Agustín Borrego; Danilo Dessì; Daniel Ayala 001; Inma Hernández; Francesco Osborne; Diego Reforgiato Recupero; Davide Buscaldi; David Ruiz 001; Enrico Motta (Knowl. Based Syst., 2025)

SpaceRL - A reinforcement learning-based knowledge graph driver. - Miguel Bermudo; Daniel Ayala 001; Inma Hernández; David Ruiz 001; Miguel Toro (SoftwareX, 2025)

Corrigendum to "SpaceRL - A reinforcement learning-based knowledge graph driver" [SoftwareX, Volume 30 (2025), 102078]. - Miguel Bermudo; Daniel Ayala 001; Inma Hernández; David Ruiz 001; Miguel Toro (SoftwareX, 2025)

Gintegrator: Enhancing biological sequences data integration with real-time identifier translation. - Fernando Sola; Daniel Ayala 001; Marina Pulido; Rafael Ayala; Lorena López-Cerero; Inma Hernández; David Ruiz 001 (SoftwareX, 2025)

Corrigendum to "Gintegrator: Enhancing biological sequences data integration with real-time identifier translation" [SoftwareX, Volume 29 (2025), 102041]. - Fernando Sola; Daniel Ayala 001; Marina Pulido; Rafael Ayala; Lorena López-Cerero; Inma Hernández; David Ruiz 001 (SoftwareX, 2025)