David Chushig-Muzo

17 papers C 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
A Comparative Study of Machine Learning Models for Two-Tier Android Malware Classification with Dynamic Behavioral Analysis.
IDEAL (1)
Jorge Torres, Felipe Grijalva, David Chushig-Muzo, Luis Bote-Curiel, Malena Loza
2025 — conf
AI-Based Data Augmentation for Cleft Lip Assessment: Generating Realistic Synthetic Videos to Improve Clinical Outcomes.
IDEAL (1)
Julián Puga, Malena Loza, David Chushig-Muzo, Luis Bote-Curiel, Felipe Grijalva
2025 J jnl
Evaluating Time Series Classification Models for Nocturnal Hypoglycemia: From Predictive Performance to Environmental Impact.
IEEE Access
Francisco J. Lara-Abelenda, David Chushig-Muzo, Carmelo Betancort, Ana M. Wägner, Conceição Granja, Cristina Soguero-Ruíz
2025 J jnl
Glucostats: an efficient Python library for glucose time series feature extraction and visual analysis.
BMC Bioinform.
Pablo Peiro-Corbacho, Francisco J. Lara-Abelenda, David Chushig-Muzo, Ana M. Wägner, Conceição Granja, Cristina Soguero-Ruíz
2025 J jnl
Interpretable and multimodal fusion methodology to predict severe hypoglycemia in adults with type 1 diabetes.
Eng. Appl. Artif. Intell.
Francisco J. Lara-Abelenda, David Chushig-Muzo, Ana M. Wägner, Maryam Tayefi, Cristina Soguero-Ruíz
2025 J jnl
Personalized glucose forecasting for people with type 1 diabetes using large language models.
Comput. Methods Programs Biomed.
Francisco J. Lara-Abelenda, David Chushig-Muzo, Pablo Peiro-Corbacho, Ana M. Wägner, Conceição Granja, Cristina Soguero-Ruíz
2025 J jnl
Transfer learning for a tabular-to-image approach: A case study for cardiovascular disease prediction.
J. Biomed. Informatics
Francisco J. Lara-Abelenda, David Chushig-Muzo, Pablo Peiro-Corbacho, Vanesa Gómez-Martínez, Ana M. Wägner, Conceição Granja, Cristina Soguero-Ruíz
2024 J jnl
Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability.
BioData Min.
Vanesa Gómez-Martínez, David Chushig-Muzo, Marit B. Veierød, Conceição Granja, Cristina Soguero-Ruíz
2024 J jnl
Interpretable Data-Driven Approach Based on Feature Selection Methods and GAN-Based Models for Cardiovascular Risk Prediction in Diabetic Patients.
IEEE Access
David Chushig-Muzo, Hugo Calero-Díaz, Francisco J. Lara-Abelenda, Vanesa Gómez-Martínez, Conceição Granja, Cristina Soguero-Ruíz
2024 J jnl
LM-IGTD: a 2D image generator for low-dimensional and mixed-type tabular data to leverage the potential of convolutional neural networks.
CoRR
Vanesa Gómez-Martínez, Francisco J. Lara-Abelenda, Pablo Peiro-Corbacho, David Chushig-Muzo, Conceição Granja, Cristina Soguero-Ruíz
2023 — conf
On the Use of Generative Adversarial Networks to Predict Health Status Among Chronic Patients.
HEALTHINF
María Teresa Jurado-Camino, David Chushig-Muzo, Cristina Soguero-Ruíz, Pablo de Miguel-Bohoyo, Inmaculada Mora-Jiménez
2022 C conf
Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques.
IDEAL
Hugo Calero-Díaz, David Chushig-Muzo, Cristina Soguero-Ruíz
2022 — conf
Clinical Synthetic Data Generation to Predict and Identify Risk Factors for Cardiovascular Diseases.
Poly/DMAH@VLDB
Clara García-Vicente, David Chushig-Muzo, Inmaculada Mora-Jiménez, Himar Fabelo, Inger Torhild Gram, Maja-Lisa Løchen, Conceição Granja, Cristina Soguero-Ruíz
2022 — conf
Data-driven cardiovascular risk prediction and prognosis factor identification in diabetic patients.
BHI
Hugo Calero-Díaz, David Chushig-Muzo, Himar Fabelo, Inmaculada Mora-Jiménez, Conceição Granja, Cristina Soguero-Ruíz
2022 J jnl
Learning and visualizing chronic latent representations using electronic health records.
BioData Min.
David Chushig-Muzo, Cristina Soguero-Ruíz, Pablo de Miguel-Bohoyo, Inmaculada Mora-Jiménez
2021 J jnl
Interpreting clinical latent representations using autoencoders and probabilistic models.
Artif. Intell. Medicine
David Chushig-Muzo, Cristina Soguero-Ruíz, Pablo de Miguel-Bohoyo, Inmaculada Mora-Jiménez
2020 J jnl
Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps.
IEEE Access
David Chushig-Muzo, Cristina Soguero-Ruíz, Andries P. Engelbrecht, Pablo de Miguel-Bohoyo, Inmaculada Mora-Jiménez