Deal Effect Curve and Promotional Models - Using Machine Learning and Bootstrap Resampling Test. - Cristina Soguero-Ruíz; Francisco Javier Gimeno-Blanes; Inmaculada Mora-Jiménez; María Pilar Martínez-Ruiz; José Luis Rojo-Álvarez (ICPRAM (2), 2012)

Estimation of urban commuting patterns using cellphone network data. - Vanessa Frías-Martínez; Cristina Soguero-Ruíz; Enrique Frías-Martínez (UrbComp@KDD, 2012)

On the differential benchmarking of promotional efficiency with machine learning modeling (I): Principles and statistical comparison. - Cristina Soguero-Ruíz; Francisco Javier Gimeno-Blanes; Inmaculada Mora-Jiménez; María Pilar Martínez-Ruiz; José Luis Rojo-Álvarez (Expert Syst. Appl., 2012)

On the differential benchmarking of promotional efficiency with machine learning modelling (II): Practical applications. - Cristina Soguero-Ruíz; Francisco Javier Gimeno-Blanes; Inmaculada Mora-Jiménez; María Pilar Martínez-Ruiz; José Luis Rojo-Álvarez (Expert Syst. Appl., 2012)

eLab: A Web-based Platform to Perform HRV Analysis and Store Cardiac Signals. - Óscar Barquero-Pérez; Teresa Quintanilla; José García-Muñoz; Cristina Soguero-Ruíz; Mark Richard Wilby; Manuel de la Rosa; Miguel Cabañas; Iván González; Roberto Bravo; Arcadi García-Alberola; José Luis Rojo-Álvarez (CinC, 2013)

Nonlinear Characteristics of Ventricular FibrillationDepend on Myocardial Infarction Locations. - María González-González; Óscar Barquero-Pérez; Cristina Soguero-Ruíz; Juan José Sánchez-Muñoz; José Luis Rojo-Álvarez; Arcadi García-Alberola (CinC, 2013)

Spectral and Nonlinear Analysis in Surgical Ventricular Fibrillation. - Francisco Javier Pulido-Hidalgo; Óscar Barquero-Pérez; Cristina Soguero-Ruíz; José Luis Rojo-Álvarez; Juan José Sánchez-Muñoz; Arcadi García-Alberola (CinC, 2013)

Forecasting socioeconomic trends with cell phone records. - Vanessa Frías-Martínez; Cristina Soguero-Ruíz; Enrique Frías-Martínez; Malvina Josephidou (ACM DEV (3), 2013)

Ontology for Heart Rate Turbulence Domain From The Conceptual Model of SNOMED-CT. - Cristina Soguero-Ruíz; Luis Lechuga-Suárez; Inmaculada Mora-Jiménez; Javier Ramos-López; Óscar Barquero-Pérez; Arcadi García-Alberola; José Luis Rojo-Álvarez (IEEE Trans. Biomed. Eng., 2013)

Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage. - Cristina Soguero-Ruíz; Kristian Hindberg; José Luis Rojo-Álvarez; Stein Olav Skrøvseth; Fred Godtliebsen; Kim Mortensen; Arthur Revhaug; Rolv-Ole Lindsetmo; Inmaculada Mora-Jiménez; Knut Magne Augestad; Robert Jenssen (BHI, 2014)

Towards Semantic Interoperability for Cardiovascular Risk Stratification into the Electronic Health Records Using Archetypes and SNOMED-CT. - Alfonso Sánchez-Caro; Cristina Soguero-Ruíz; Inmaculada Mora-Jiménez; Luis Lechuga-Suárez; Javier Ramos-López; Arcadio García-Alberola; Pablo Serrano-Balazote; José Luis Rojo-Álvarez (CinC, 2014)

Statistical nonlinear analysis for reliable promotion decision-making. - Cristina Soguero-Ruíz; Francisco Javier Gimeno-Blanes; Inmaculada Mora-Jiménez; María Pilar Martínez-Ruiz; José Luis Rojo-Álvarez (Digit. Signal Process., 2014)

Data-driven Temporal Prediction of Surgical Site Infection. - Cristina Soguero-Ruíz; Fei Wang 001; Robert Jenssen; Knut Magne Augestad; José Luis Rojo-Álvarez; Inmaculada Mora-Jiménez; Rolv-Ole Lindsetmo; Stein Olav Skrøvseth (AMIA, 2015)

Web Application for Data Exchange and Follow-up in Heart Rate Turbulence. - Cristina Soguero-Ruíz; Alfonso Sánchez-Caro; Inmaculada Mora-Jiménez; Luis Lechuga-Suárez; Arcadi García-Alberola; José Luis Rojo-Álvarez (CinC, 2015)

Kernel covariance series smoothing. - Cristina Soguero-Ruíz; Robert Jenssen (MLSP, 2015)

An Approach to New Methods for Digital Processing on Optical Mapping Sequences and Electrical Mapping. - Sergio Muñoz-Romero; Margarita Sanromán-Junquera; Cristina Soguero-Ruíz; Inmaculada Mora-Jiménez; Raúl Caulier-Cisterna; Javier Moreno-Planas; Jorge García-Quintanilla; Arcadi García-Alberola; José Luis Rojo-Álvarez (CinC, 2016)

Autocorrelation Kernel Support Vector Machines for Doppler Ultrasound M-Mode Images Denoising. - Cristina Soguero-Ruíz; Alicia Guerrero-Curieses; Francisco Javier Palancar; Javier Bermejo; José Carlos Antoranz; José Luis Rojo-Álvarez (CinC, 2016)

Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods. - Cristina Soguero-Ruíz; Kristian Hindberg; Inmaculada Mora-Jiménez; José Luis Rojo-Álvarez; Stein Olav Skrøvseth; Fred Godtliebsen; Kim Mortensen; Arthur Revhaug; Rolv-Ole Lindsetmo; Knut Magne Augestad; Robert Jenssen (J. Biomed. Informatics, 2016)

Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records. - Cristina Soguero-Ruíz; Kristian Hindberg; José Luis Rojo-Álvarez; Stein Olav Skrøvseth; Fred Godtliebsen; Kim Mortensen; Arthur Revhaug; Rolv-Ole Lindsetmo; Knut Magne Augestad; Robert Jenssen (IEEE J. Biomed. Health Informatics, 2016)

L1 Penalized Cox Regression to Characterize Cardiovascular Events in Hypertensive Patients. - Rafael García-Carretero; Óscar Barquero-Pérez; Inmaculada Mora-Jiménez; Cristina Soguero-Ruíz; Rebeca Goya-Esteban; Antonio G. Marques; Javier Ramos 001 (CinC, 2017)

Modeling Cardiovascular Condition Evolution in Hypertensive Population Using Graph Signal Processing. - Antonio G. Marques; Cristina Soguero-Ruíz; Javier Ramos 001; Inmaculada Mora-Jiménez; Rebeca Goya-Esteban; Rafael García-Carretero; Óscar Barquero-Pérez (CinC, 2017)

The time series cluster kernel. - Karl Øyvind Mikalsen; Filippo Maria Bianchi; Cristina Soguero-Ruíz; Robert Jenssen (MLSP, 2017)

Clinical Risk Groups Analysis for Chronic Hypertensive Patients in Terms of ICD9-CM Diagnosis Codes. - Javier Fernández-Sánchez; Cristina Soguero-Ruíz; Pablo de Miguel-Bohoyo; Francisco Javier Rivas-Flores; Ángel Gómez-Delgado; Francisco Javier Gutiérrez-Expósito; Inmaculada Mora-Jiménez (PhyCS, 2017)

Using anchors from free text in electronic health records to diagnose postoperative delirium. - Karl Øyvind Mikalsen; Cristina Soguero-Ruíz; Kasper Jensen; Kristian Hindberg; Mads Gran; Arthur Revhaug; Rolv-Ole Lindsetmo; Stein Olav Skrøvseth; Fred Godtliebsen; Robert Jenssen (Comput. Methods Programs Biomed., 2017)

Towards deep anchor learning. - Mads A. Hansen; Karl Øyvind Mikalsen; Michael Kampffmeyer; Cristina Soguero-Ruíz; Robert Jenssen (BHI, 2018)

Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. - Andreas Storvik Strauman; Filippo Maria Bianchi; Karl Øyvind Mikalsen; Michael Kampffmeyer; Cristina Soguero-Ruíz; Robert Jenssen (BHI, 2018)

Using multi-anchors to identify patients suffering from multimorbidities. - Karl Øyvind Mikalsen; Cristina Soguero-Ruíz; Inmaculada Mora-Jiménez; Isabel Caballero-López-Fando; Robert Jenssen (BIBM, 2018)

On the Use of Decision Trees Based on Diagnosis and Drug Codes for Analyzing Chronic Patients. - Cristina Soguero-Ruíz; Ana Alberca Díaz-Plaza; Pablo de Miguel-Bohoyo; Javier Ramos-López; Manuel Rubio-Sánchez; Alberto Sánchez 001; Inmaculada Mora-Jiménez (IWBBIO (2), 2018)

A Data-Driven Model Based on Support Vector Machine to Identify Chronic Hypertensive and Diabetic Patients. - Cristina Soguero-Ruíz; Pablo de Miguel-Bohoyo; Inmaculada Mora-Jiménez (PhyCS (Selected Papers), 2018)

Event Analysis on Power Communication Networks With Big Data for Maintenance Forms. - Juan Ramón Feijoo-Martínez; Sergio Muñoz-Romero; Cristina Soguero-Ruíz; Mario Castro-Fernandez; José Luis Rojo-Álvarez (IEEE Access, 2018)

An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples. - Karl Øyvind Mikalsen; Cristina Soguero-Ruíz; Filippo Maria Bianchi; Arthur Revhaug; Robert Jenssen (CoRR, 2018)

Scaled radial axes for interactive visual feature selection: A case study for analyzing chronic conditions. - Alberto Sánchez 001; Cristina Soguero-Ruíz; I. Mora-Jiménez; Francisco Javier Rivas-Flores; Dirk J. Lehmann; Manuel Rubio-Sánchez (Expert Syst. Appl., 2018)

Time series cluster kernel for learning similarities between multivariate time series with missing data. - Karl Øyvind Mikalsen; Filippo Maria Bianchi; Cristina Soguero-Ruíz; Robert Jenssen (Pattern Recognit., 2018)

Towards Organization Management Using Exploratory Screening and Big Data Tests: A Case Study of the Spanish Red Cross. - Margarita Rodríguez-Ibáñez; Sergio Muñoz-Romero; Cristina Soguero-Ruíz; Francisco Javier Gimeno-Blanes; José Luis Rojo-Álvarez (IEEE Access, 2019)

Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data. - Primoz Kocbek; Nino Fijacko; Cristina Soguero-Ruíz; Karl Øyvind Mikalsen; Uros Maver; Petra Povalej Brzan; Andraz Stozer; Robert Jenssen; Stein Olav Skrøvseth; Gregor Stiglic (Comput. Math. Methods Medicine, 2019)

Entropic Statistical Description of Big Data Quality in Hotel Customer Relationship Management. - Lydia González-Serrano; Pilar Talón-Ballestero; Sergio Muñoz-Romero; Cristina Soguero-Ruíz; José Luis Rojo-Álvarez (Entropy, 2019)

Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit. - Sergio Martínez-Agüero; Inmaculada Mora-Jiménez; Jon Lérida-García; Joaquín Álvarez-Rodríguez; Cristina Soguero-Ruíz (Entropy, 2019)

Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events. - Rafael García-Carretero; Óscar Barquero-Pérez; Inmaculada Mora-Jiménez; Cristina Soguero-Ruíz; Rebeca Goya-Esteban; Javier Ramos 001 (Medical Biol. Eng. Comput., 2019)

Noisy multi-label semi-supervised dimensionality reduction. - Karl Øyvind Mikalsen; Cristina Soguero-Ruíz; Filippo Maria Bianchi; Robert Jenssen (Pattern Recognit., 2019)

Finding Associations among Chronic Conditions by Bootstrap and Multiple Correspondence Analysis. - Cristina Soguero-Ruíz; Natalia Alonso-Arteaga; Sergio Muñoz-Romero; José Luis Rojo-Álvarez; Manuel Rubio-Sánchez; Isabel Caballero López-Fajardo; Inmaculada Mora-Jiménez (BIBM, 2020)

Temporal Feature Selection for Characterizing Antimicrobial Multidrug Resistance in the Intensive Care Unit. - Óscar Escudero-Arnanz; Inmaculada Mora-Jiménez; Sergio Martínez-Agüero; Joaquín Álvarez-Rodríguez; Cristina Soguero-Ruíz (AAI4H@ECAI, 2020)

Modelling Temporal Relationships in Pseudomonas Aeruginosa Antimicrobial Resistance Prediction in Intensive Care Unit. - Álvar Hernández-Carnerero; Miquel Sànchez-Marrè; Inmaculada Mora-Jiménez; Cristina Soguero-Ruíz; Sergio Martínez-Agüero; Joaquín Álvarez-Rodríguez (AAI4H@ECAI, 2020)

Aplying LSTM Networks to Predict Multi-drug Resistance Using Binary Multivariate Clinical Sequences. - Sergio Martínez-Agüero; Inmaculada Mora-Jiménez; Joaquín Álvarez-Rodríguez; Antonio Garcia Marques; Cristina Soguero-Ruíz (STAIRS@ECAI, 2020)

Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps. - David Chushig-Muzo; Cristina Soguero-Ruíz; Andries P. Engelbrecht; Pablo de Miguel-Bohoyo; Inmaculada Mora-Jiménez (IEEE Access, 2020)

On the Statistical and Temporal Dynamics of Sentiment Analysis. - Margarita Rodríguez-Ibáñez; Francisco Javier Gimeno-Blanes; Pedro Manuel Cuenca-Jiménez; Sergio Muñoz-Romero; Cristina Soguero-Ruíz; José Luis Rojo-Álvarez (IEEE Access, 2020)

A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs. - Karl Øyvind Mikalsen; Cristina Soguero-Ruíz; Robert Jenssen (CoRR, 2020)

Use of a K-nearest neighbors model to predict the development of type 2 diabetes within 2 years in an obese, hypertensive population. - Rafael García-Carretero; Luis Vigil-Medina; Inmaculada Mora-Jiménez; Cristina Soguero-Ruíz; Óscar Barquero-Pérez; Javier Ramos-López (Medical Biol. Eng. Comput., 2020)

Informative variable identifier: Expanding interpretability in feature selection. - Sergio Muñoz-Romero; Arantza Gorostiaga; Cristina Soguero-Ruíz; Inmaculada Mora-Jiménez; José Luis Rojo-Álvarez (Pattern Recognit., 2020)

Visually guided classification trees for analyzing chronic patients. - Cristina Soguero-Ruíz; Inmaculada Mora-Jiménez; Miguel A. Mohedano-Munoz; Manuel Rubio-Sánchez; Pablo de Miguel-Bohoyo; Alberto Sánchez 001 (BMC Bioinform., 2020)

On the Statistical Differences in the Pharmacological Treatment of COVID-19 Patients. - Weam Moumouh-Ait Layachi; María Sevilla-García; Adrián García-Romero; Cristina Soguero-Ruíz; Inmaculada Mora-Jiménez (BHI, 2021)

Mapping Health Trajectories on Self Organizing Maps using COVID-19 Patient's Blood Tests. - Carlos Arias-Alcaide; Cristina Soguero-Ruíz; Paloma Santos-Alvarez; Adrián García-Romero; Inmaculada Mora-Jiménez (BIBM, 2021)

Predicting Multidrug Resistance Using Temporal Clinical Data and Machine Learning Methods. - Lidia Pascual-Sánchez; Inmaculada Mora-Jiménez; Sergio Martínez-Agüero; Joaquín Álvarez-Rodríguez; Cristina Soguero-Ruíz (BIBM, 2021)

Sentiment Analysis of Political Tweets From the 2019 Spanish Elections. - Margarita Rodríguez-Ibáñez; Francisco Javier Gimeno-Blanes; Pedro Manuel Cuenca-Jiménez; Cristina Soguero-Ruíz; José Luis Rojo-Álvarez (IEEE Access, 2021)

Interpreting clinical latent representations using autoencoders and probabilistic models. - David Chushig-Muzo; Cristina Soguero-Ruíz; Pablo de Miguel-Bohoyo; Inmaculada Mora-Jiménez (Artif. Intell. Medicine, 2021)

On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit. - Óscar Escudero-Arnanz; Joaquín Álvarez-Rodríguez; Karl Øyvind Mikalsen; Robert Jenssen; Cristina Soguero-Ruíz (CoRR, 2021)

Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models. - Álvar Hernández-Carnerero; Miquel Sànchez-Marrè; Inmaculada Mora-Jiménez; Cristina Soguero-Ruíz; Sergio Martínez-Agüero; Joaquín Álvarez-Rodríguez (Int. J. Interact. Multim. Artif. Intell., 2021)

Time series cluster kernels to exploit informative missingness and incomplete label information. - Karl Øyvind Mikalsen; Cristina Soguero-Ruíz; Filippo Maria Bianchi; Arthur Revhaug; Robert Jenssen (Pattern Recognit., 2021)

Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital. - Sergio Martínez-Agüero; Antonio G. Marques; Inmaculada Mora-Jiménez; Joaquín Álvarez-Rodríguez; Cristina Soguero-Ruíz (IEEE J. Biomed. Health Informatics, 2021)

Data-driven cardiovascular risk prediction and prognosis factor identification in diabetic patients. - Hugo Calero-Díaz; David Chushig-Muzo; Himar Fabelo; Inmaculada Mora-Jiménez; Conceição Granja; Cristina Soguero-Ruíz (BHI, 2022)

Domain over size: Clinical ELECTRA surpasses general BERT for bleeding site classification in the free text of electronic health records. - Jannik S. Pedersen; Martin S. Laursen; Cristina Soguero-Ruíz; Thiusius R. Savarimuthu; Rasmus Søgaard Hansen; Pernille J. Vinholt (BHI, 2022)

Local Naïve Bayes for Predicting Evolution of COVID-19 Patients on Self Organizing Maps. - Carlos Arias-Alcaide; Cristina Soguero-Ruíz; Paloma Santos-Alvarez; José Felipe Varona Arche; Inmaculada Mora-Jiménez (BIBM, 2022)

Clinical Synthetic Data Generation to Predict and Identify Risk Factors for Cardiovascular Diseases. - Clara García-Vicente; David Chushig-Muzo; Inmaculada Mora-Jiménez; Himar Fabelo; Inger Torhild Gram; Maja-Lisa Løchen; Conceição Granja; Cristina Soguero-Ruíz (Poly/DMAH@VLDB, 2022)

Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques. - Hugo Calero-Díaz; David Chushig-Muzo; Cristina Soguero-Ruíz (IDEAL, 2022)

Learning and visualizing chronic latent representations using electronic health records. - David Chushig-Muzo; Cristina Soguero-Ruíz; Pablo de Miguel-Bohoyo; Inmaculada Mora-Jiménez (BioData Min., 2022)

Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance. - Sergio Martínez-Agüero; Cristina Soguero-Ruíz; Jose Maria Alonso-Moral; Inmaculada Mora-Jiménez; Joaquín Álvarez-Rodríguez; Antonio G. Marques (Future Gener. Comput. Syst., 2022)

On the Use of Generative Adversarial Networks to Predict Health Status Among Chronic Patients. - María Teresa Jurado-Camino; David Chushig-Muzo; Cristina Soguero-Ruíz; Pablo de Miguel-Bohoyo; Inmaculada Mora-Jiménez (HEALTHINF, 2023)

Novel Approach for AI-Based Risk Calculator Development Using Transfer Learning Suitable for Embedded Systems. - Antonio J. Rodríguez-Almeida; Himar Fabelo; Cristina Soguero-Ruíz; Rosa María Sanchez-Hernandez; Ana M. Wägner; Gustavo M. Callicó (DSD, 2023)

Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction. - Álvar Hernández-Carnerero; Miquel Sànchez-Marrè; Inmaculada Mora-Jiménez; Cristina Soguero-Ruíz; Sergio Martínez-Agüero; Joaquín Álvarez-Rodríguez (Artif. Intell. Medicine, 2023)

dtwParallel: A Python package to efficiently compute dynamic time warping between time series. - Óscar Escudero-Arnanz; Antonio G. Marques; Cristina Soguero-Ruíz; Inmaculada Mora-Jiménez; Gregorio Robles (SoftwareX, 2023)

Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets. - Antonio J. Rodríguez-Almeida; Himar Fabelo; Samuel Ortega; Alejandro Deniz; Francisco Javier Balea-Fernández; Eduardo Quevedo; Cristina Soguero-Ruíz; Ana M. Wägner; Gustavo M. Callicó (IEEE J. Biomed. Health Informatics, 2023)

A streaming data visualization framework for supporting decision-making in the Intensive Care Unit. - Miguel A. Mohedano-Munoz; Cristina Soguero-Ruíz; Inmaculada Mora-Jiménez; Manuel Rubio-Sánchez; Joaquín Álvarez-Rodríguez; Alberto Sánchez 001 (Expert Syst. Appl., 2023)

Irregular Temporal Classification of Multidrug Resistance Development in Intensive Care Unit Patients. - Paula Martín-Palomeque; Óscar Escudero-Arnanz; Joaquín Álvarez-Rodríguez; Cristina Soguero-Ruíz (BIBM, 2024)

Low-Rank Tensor Completion for Heart Failure Exacerbation Detection in Multivariate Time Series with Missing Data. - Óscar Escudero-Arnanz; Rosa Sicilia; Cristina Soguero-Ruíz; Inmaculada Mora-Jiménez; Diana Lelli; Claudio Pedone; Antonio G. Marques (CBMS, 2024)

Using One App Only - Collecting a Comprehensive Set of Health-Related Data for Prevention of Chronic Conditions. - Eirik Årsand; Miroslav Muzny; Tina Rishaug; Ana M. Wägner; Carmelo Betancort; Conceição Granja; Cristina Soguero-Ruíz; Gunnar Hartvigsen; Mihai Namolosanu; Mikael Rinnetmäki; André Henriksen (MIE, 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)

Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability. - Vanesa Gómez-Martínez; David Chushig-Muzo; Marit B. Veierød; Conceição Granja; Cristina Soguero-Ruíz (BioData Min., 2024)

Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series. - Sergio Martínez-Agüero; Antonio G. Marques; Inmaculada Mora-Jiménez; Joaquín Álvarez-Rodríguez; Cristina Soguero-Ruíz (CoRR, 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)

Explainable Artificial Intelligence Techniques for Irregular Temporal Classification of Multidrug Resistance Acquisition in Intensive Care Unit Patients. - Óscar Escudero-Arnanz; Cristina Soguero-Ruíz; Joaquín Álvarez-Rodríguez; Antonio G. Marques (CoRR, 2024)

Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data. - Óscar Escudero-Arnanz; Cristina Soguero-Ruíz; Antonio G. Marques (CoRR, 2024)

Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units. - Paula Martín-Palomeque; Óscar Escudero-Arnanz; Cristina Soguero-Ruíz; Antonio G. Marques (CBMS, 2025)

Evaluating Time Series Classification Models for Nocturnal Hypoglycemia: From Predictive Performance to Environmental Impact. - Francisco J. Lara-Abelenda; David Chushig-Muzo; Carmelo Betancort; Ana M. Wägner; Conceição Granja; Cristina Soguero-Ruíz (IEEE Access, 2025)

Early detection of Multidrug Resistance using Multivariate Time Series analysis and interpretable patient-similarity representations. - Óscar Escudero-Arnanz; Antonio G. Marques; Inmaculada Mora-Jiménez; Joaquín Álvarez-Rodríguez; Cristina Soguero-Ruíz (Comput. Methods Programs Biomed., 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)

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)

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)

Multimodal interpretable data-driven models for early prediction of multidrug resistance using multivariate time series. - Óscar Escudero-Arnanz; Sergio Martínez-Agüero; Paula Martín-Palomeque; Antonio G. Marques; Inmaculada Mora-Jiménez; Joaquín Álvarez-Rodríguez; Cristina Soguero-Ruíz (Health Inf. Sci. Syst., 2025)