Improving Channel Estimation for Software Radios. - Edmund Coersmeier; Carlos Sáez; Andreas Hotz; Marc Hoffmann; Martin Kosakowski; Yuhuan Xu; Andreas Bauer 003; Felix Leder (Wireless and Optical Communications, 2006)

Conceptual Graphs Based Information Retrieval in HealthAgents. - Madalina Croitoru; Bo Hu 001; Srinandan Dasmahapatra; Paul H. Lewis; David Dupplaw; Alex Gibb; Margarida Julià-Sapé; Javier Vicente; Carlos Sáez; Juan Miguel García-Gómez; Roman Roset; Francesc Estanyol; et al. (CBMS, 2007)

An Adaptive Security Model for Multi-agent Systems and Application to a Clinical Trials Environment. - Liang Xiao 002; Andrew Peet; Paul H. Lewis; Srinandan Dashmapatra; Carlos Sáez; Madalina Croitoru; Javier Vicente; Horacio González-Vélez; Magí Lluch i Ariet (COMPSAC (2), 2007)

Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning. - Juan Miguel García-Gómez; Salvador Tortajada; Javier Vicente; Carlos Sáez; Xavier Castells; Jan Luts; Margarida Julià-Sapé; Alfons Juan-Císcar; Sabine Van Huffel; Anna Barceló; Joaquín Ariño; Carles Arús; et al. (IWANN, 2007)

A Security Model and its Application to a Distributed Decision Support System for Healthcare. - Liang Xiao 002; Javier Vicente; Carlos Sáez; Andrew Peet; Alex Gibb; Paul H. Lewis; Srinandan Dasmahapatra; Madalina Croitoru; Horacio González-Vélez; Magí Lluch i Ariet; David Dupplaw (ARES, 2008)

The HealthAgents ontology: knowledge representation in a distributed decision support system for brain tumours. - Bo Hu 001; Madalina Croitoru; Roman Roset; David Dupplaw; Miguel Lurgi; Srinandan Dasmahapatra; Paul H. Lewis; Juan Martínez-Miranda; Carlos Sáez (Knowl. Eng. Rev., 2011)

A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents. - Carlos Sáez; Juan Miguel García-Gómez; Javier Vicente; Salvador Tortajada; Jan Luts; David Dupplaw; Sabine Van Huffel; Montserrat Robles (Knowl. Eng. Rev., 2011)

Comparative study of probability distribution distances to define a metric for the stability of multi-source biomedical research data. - Carlos Sáez; Montserrat Robles; Juan Miguel García-Gómez (EMBC, 2013)

An HL7-CDA wrapper for facilitating semantic interoperability to rule-based Clinical Decision Support Systems. - Carlos Sáez; Adrián Bresó; Javier Vicente; Montserrat Robles; Juan Miguel García-Gómez (Comput. Methods Programs Biomed., 2013)

Randomized pilot study and qualitative evaluation of a clinical decision support system for brain tumour diagnosis based on SV 1H MRS: Evaluation as an additional information procedure for novice radiologists. - Carlos Sáez; Luis Martí-Bonmatí; Angel Alberich-Bayarri; Montserrat Robles; Juan Miguel García-Gómez (Comput. Biol. Medicine, 2014)

Construction of quality-assured infant feeding process of care data repositories: definition and design (Part 1). - Ricardo Garcí; Carlos Sáez; Verónica Muñoz-Soler; Ricardo García-de-León-González; Juan M. García-Gómez (Comput. Biol. Medicine, 2015)

Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality. - Carlos Sáez; Pedro Pereira Rodrigues; João Gama 001; Montserrat Robles; Juan Miguel García-Gómez (Data Min. Knowl. Discov., 2015)

Construction of quality-assured infant feeding process of care data repositories: Construction of the perinatal repository (Part 2). - Ricardo García-de-León-Chocano; Verónica Muñoz-Soler; Carlos Sáez; Ricardo García-de-León-González; Juan Miguel García-Gómez (Comput. Biol. Medicine, 2016)

Applying probabilistic temporal and multisite data quality control methods to a public health mortality registry in Spain: a systematic approach to quality control of repositories. - Carlos Sáez; Oscar Zurriaga; Jordi Pérez-Panadés; Inma Melchor; Montserrat Robles; Juan Miguel García-Gómez (J. Am. Medical Informatics Assoc., 2016)

Discovering Data Source Stability Patterns in Biomedical Repositories Based on Simplicial Projections from Probability Distribution Distances. - Pablo Ferri Borreda; Carlos Sáez; Juan Miguel García-Gómez (CBMS, 2017)

Kinematics of Big Biomedical Data to characterize temporal variability and seasonality of data repositories: Functional Data Analysis of data temporal evolution over non-parametric statistical manifolds. - Carlos Sáez; Juan Miguel García-Gómez (Int. J. Medical Informatics, 2018)

Feature Extraction and Similarity of Movement Detection during Sleep, Based on Higher Order Spectra and Entropy of the Actigraphy Signal: Results of the Hispanic Community Health Study/Study of Latinos. - Miguel Enrique Iglesias Martínez; Juan M. García-Gómez; Carlos Sáez; Pedro Fernández de Córdoba; J. Alberto Conejero (Sensors, 2018)

Guest editorial: Special issue in biomedical data quality assessment methods. - Carlos Sáez; Siaw-Teng Liaw; Eizen Kimura; Pascal Coorevits; Juan M. García-Gómez (Comput. Methods Programs Biomed., 2019)

Measuring Variability in Acute Myocardial Infarction Coding Using a Statistical Process Control and Probabilistic Temporal Data Quality Control Approaches. - Júlio Souza; Ismael Caballero 001; João Vasco Santos; M. F. Lobo; Andreia Pinto; João Viana; Carlos Sáez; Alberto Freitas (WorldCIST (2), 2021)

Deep ensemble multitask classification of emergency medical call incidents combining multimodal data improves emergency medical dispatch. - Pablo Ferri Borreda; Carlos Sáez; Antonio Felix de Castro; Javier Juan-Albarracín; Vicent Blanes-Selva; Purificación Sánchez-Cuesta; Juan M. García-Gómez (Artif. Intell. Medicine, 2021)

Smart Pharmaceutical Manufacturing: Ensuring End-to-End Traceability and Data Integrity in Medicine Production. - Fátima Leal; Adriana E. Chis; Simon Caton; Horacio González-Vélez; Juan M. García-Gómez; Marta Durá; Angel Sánchez-García; Carlos Sáez; Anthony Karageorgos; Vassilis C. Gerogiannis; Apostolos Xenakis; Efthymios N. Lallas; et al. (Big Data Res., 2021)

Robust estimation of infant feeding indicators by data quality assessment of longitudinal electronic health records from birth up to 18 months of life. - Ricardo García-de-León-Chocano; Carlos Sáez; Verónica Muñoz-Soler; Antonio Oliver-Roig; Ricardo García-de-León-González; Juan Miguel García-Gómez (Comput. Methods Programs Biomed., 2021)

Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset. - Carlos Sáez; Nekane Romero; J. Alberto Conejero; Juan M. García-Gómez (J. Am. Medical Informatics Assoc., 2021)

Predicting morbidity by local similarities in multi-scale patient trajectories. - Lucia A. Carrasco-Ribelles; Jose Ramón Pardo-Mas; Salvador Tortajada; Carlos Sáez; Bernardo Valdivieso; Juan M. García-Gómez (J. Biomed. Informatics, 2021)

Discovering Key Topics in Emergency Medical Dispatch from Free Text Dispatcher Observations. - Pablo Ferri Borreda; Carlos Sáez; Antonio Felix de Castro; Purificación Sánchez-Cuesta; Juan M. García-Gómez (MIE, 2022)

Towards a Computational Approach for the Assessment of Compliance of ALCOA+ Principles in Pharma Industry. - Marta Durá; Angel Sánchez-García; Carlos Sáez; Fátima Leal; Adriana E. Chis; Horacio González-Vélez; Juan M. García-Gómez (MIE, 2022)

Multi-PheWAS intersection approach to identify sex differences across comorbidities in 59 140 pediatric patients with autism spectrum disorder. - Alba Gutiérrez-Sacristán; Carlos Sáez; Carlos De Niz; Niloofar Jalali; Thomas N. Desain; Ranjay Kumar; Joany M. Zachariasse; Kathe P. Fox; Nathan P. Palmer; Isaac S. Kohane; Paul Avillach (J. Am. Medical Informatics Assoc., 2022)

Multisource and temporal variability in Portuguese hospital administrative datasets: Data quality implications. - Júlio Souza; Ismael Caballero 001; João Vasco Santos; Mariana Lobo; Andreia Pinto; João Viana; Carlos Sáez; Fernando Lopes 003; Alberto Freitas (J. Biomed. Informatics, 2022)

International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality. - Griffin M. Weber; Chuan Hong; Zongqi Xia; Nicolas Paris; Miguel Pedrera-Jiménez; Ashley C. Pfaff; Emily R. Pfaff; Danielle Pillion; Sara Pizzimenti; Hans-Ulrich Prokosch; Robson A. Prudente; Andrea Prunotto; et al. (npj Digit. Medicine, 2022)

Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study. - Pablo Ferri Borreda; Nekane Romero-Garcia; Rafael Badenes; David Lora-Pablos; Teresa García Morales; Agustín Gómez De La Camara; Juan M. García-Gómez; Carlos Sáez (Comput. Methods Programs Biomed., 2023)

Deep continual learning for medical call incidents text classification under the presence of dataset shifts. - Pablo Ferri; Vincenzo Lomonaco; Lucia C. Passaro; Antonio Felix de Castro; Purificación Sánchez-Cuesta; Carlos Sáez; Juan M. García-Gómez (Comput. Biol. Medicine, 2024)

Towards proactive self-adaptive AI for non-stationary environments with dataset shifts. - David Fernández Narro; Pablo Ferri; Juan M. García-Gómez; Carlos Sáez (CoRR, 2025)