Antonio-Jesús Banegas-Luna

According to our database, Antonio-Jesús Banegas-Luna authored at least 11 papers between 2019 and 2026.

Collaborative distances:

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

2026

WISCA: A Consensus-Based Approach to Harmonizing Interpretability in Tabular Datasets.

Antonio-Jesús Banegas-Luna, Horacio Pérez Sánchez, Carlos Martinez-Cortes

Mach. Learn. Knowl. Extr., 2026

2025

WISCA: A Consensus-Based Approach to Harmonizing Interpretability in Tabular Datasets.

Antonio-Jesús Banegas-Luna, Horacio Emilio Pérez Sánchez, Carlos Martínez-Cortés

CoRR, June, 2025

Performance Impact of Containerized METADOCK 2 on Heterogeneous Platforms.

Antonio-Jesús Banegas-Luna, Baldomero Imbernón Tudela, Carlos Martínez-Cortés, José Maria Cecilia, Horacio Pérez Sánchez

CoRR, June, 2025

A New Subgraph Extraction Algorithm Through a Kinship Approach for Link Prediction in Knowledge Graphs.

Carla Piñol, Manuel Curado, Jose F. Vicent, Antonio-Jesús Banegas-Luna

Proceedings of the Pattern Recognition and Image Analysis - 12th Iberian Conference, 2025

2024

Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission.

Rafael Ruiz de San Martín, Catalina Morales-Hernández, Carmen Barberá, Carlos Martínez-Cortés, Antonio-Jesús Banegas-Luna, Francisco José Segura-Méndez, Horacio Pérez Sánchez, Isabel Morales-Moreno, Juan José Hernández Morante

Mach. Learn. Knowl. Extr., September, 2024

2023

Fighting the disagreement in Explainable Machine Learning with consensus.

Antonio-Jesús Banegas-Luna, Carlos Martínez-Cortés, Horacio Pérez Sánchez

CoRR, 2023

Towards a Voxelized Semantic Representation of the Workspace of Mobile Robots.

Antonio-Jesús Banegas-Luna, José-Raúl Ruiz-Sarmiento, Gregorio Ambrosio-Cestero, Javier González Jiménez

Proceedings of the Advances in Computational Intelligence, 2023

2022

SIBILA: High-performance computing and interpretable machine learning join efforts toward personalised medicine in a novel decision-making tool.

Antonio-Jesús Banegas-Luna, Horacio Pérez Sánchez

CoRR, 2022

Virtual Screening Based on Electrostatic Similarity and Flexible Ligands.

Savíns Puertas-Martín, Juana López Redondo, Antonio-Jesús Banegas-Luna, Ester M. Garzón, Horacio Emilio Pérez Sánchez, Valerie J. Gillet, Pilar M. Ortigosa

Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

2020

When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey.

Antonio-Jesús Banegas-Luna, Jorge Peña-García, Adrian Iftene, Fiorella Guadagni, Patrizia Ferroni, Noemi Scarpato, Fabio Massimo Zanzotto, Andrés Bueno-Crespo, Horacio Pérez Sánchez

CoRR, 2020

2019

BRUSELAS: HPC Generic and Customizable Software Architecture for 3D Ligand-Based Virtual Screening of Large Molecular Databases.

Antonio-Jesús Banegas-Luna, José Pedro Cerón-Carrasco, Savíns Puertas-Martín, Horacio Pérez Sánchez

J. Chem. Inf. Model., 2019