Francisco J. Lara-Abelenda

According to our database, Francisco J. Lara-Abelenda authored at least 6 papers between 2024 and 2025.

Collaborative distances:

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

2025

Transfer learning for a tabular-to-image approach: A case study for cardiovascular disease prediction.

Francisco J. Lara-Abelenda, David Chushig-Muzo, Pablo Peiro-Corbacho, Vanesa Gómez-Martínez, Ana M. Wägner, Conceição Granja, Cristina Soguero-Ruíz

J. Biomed. Informatics, 2025

Interpretable and multimodal fusion methodology to predict severe hypoglycemia in adults with type 1 diabetes.

Francisco J. Lara-Abelenda, David Chushig-Muzo, Ana M. Wägner, Maryam Tayefi, Cristina Soguero-Ruíz

Eng. Appl. Artif. Intell., 2025

Personalized glucose forecasting for people with type 1 diabetes using large language models.

Francisco J. Lara-Abelenda, David Chushig-Muzo, Pablo Peiro-Corbacho, Ana M. Wägner, Conceição Granja, Cristina Soguero-Ruíz

Comput. Methods Programs Biomed., 2025

2024

Navigating the Digital Neurolandscape: Analyzing the Social Perception of and Sentiments Regarding Neurological Disorders through Topic Modeling and Unsupervised Research Using Twitter.

Javier Domingo-Espiñeira, Oscar Fraile-Martínez, Cielo Garcia-Montero, María Montero, Andrea Varaona, Francisco J. Lara-Abelenda, Miguel A. Ortega, Melchor Alvarez-Mon, Miguel Angel Alvarez-Mon

Inf., March, 2024

LM-IGTD: a 2D image generator for low-dimensional and mixed-type tabular data to leverage the potential of convolutional neural networks.

Vanesa Gómez-Martínez, Francisco J. Lara-Abelenda, Pablo Peiro-Corbacho, David Chushig-Muzo, Conceição Granja, Cristina Soguero-Ruíz

CoRR, 2024

Interpretable Data-Driven Approach Based on Feature Selection Methods and GAN-Based Models for Cardiovascular Risk Prediction in Diabetic Patients.

David Chushig-Muzo, Hugo Calero-Díaz, Francisco J. Lara-Abelenda, Vanesa Gómez-Martínez, Conceição Granja, Cristina Soguero-Ruíz

IEEE Access, 2024