I. Mora-Jiménez

发表

End-to-End Average BER in Multihop Wireless Networks over Fading Channels

Eduardo Morgado, I. Mora-Jiménez, Antonio J. Caamaño, 2010, IEEE Transactions on Wireless Communications.

Analysis of physiological meaning of detrended Fluctuation Analysis in Heart Rate Variability using a lumped parameter model

I. Mora-Jiménez, A. García-Alberola, E. Everss, 2007, 2007 Computers in Cardiology.

Implantable Defibrillator Electrograms and Origin of Left Ventricular Impulses: An Analysis of Regionalization Ability and Visual Spatial Resolution

F. Atienza, I. Mora-Jiménez, J. L. Rojo, 2012, Journal of cardiovascular electrophysiology.

Visually guided classification trees for analyzing chronic patients

Pablo de Miguel-Bohoyo, Miguel A. Mohedano-Munoz, I. Mora-Jiménez, 2020, BMC Bioinformatics.

An approach to new methods for digital signal processing on optical mapping sequences and electrical mapping

José Luis Rojo-Álvarez, Margarita Sanromán-Junquera, I. Mora-Jiménez, 2016, 2016 Computing in Cardiology Conference (CinC).

Learning and visualizing chronic latent representations using electronic health records

Pablo de Miguel-Bohoyo, I. Mora-Jiménez, C. Soguero-Ruíz, 2021, BioData Mining.

Mapping Health Trajectories on Self Organizing Maps using COVID-19 Patient’s Blood Tests

I. Mora-Jiménez, C. Soguero-Ruíz, Carlos Arias-Alcaide, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Data-driven cardiovascular risk prediction and prognosis factor identification in diabetic patients

C. Granja, I. Mora-Jiménez, C. Soguero-Ruíz, 2022, 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

A Trainable Classifier via k Nearest Neighbors

Aníbal R. Figueiras-Vidal, I. Mora-Jiménez, Abdelouahid Lyhyaoui, 2002, HIS.

Local Naïve Bayes for Predicting Evolution of COVID-19 Patients on Self Organizing Maps

I. Mora-Jiménez, C. Soguero-Ruíz, Carlos Arias-Alcaide, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Interpreting clinical latent representations using autoencoders and probabilistic models

I. Mora-Jiménez, Cristina Soguero-Ruíz, David Chushig-Muzo, 2021, Artif. Intell. Medicine.

Machine learning approaches to constructing predictive models of vitamin D deficiency in a hypertensive population: a comparative study

I. Mora-Jiménez, C. Soguero-Ruíz, Ó. Barquero-Pérez, 2021, Informatics for health & social care.

Weaning outcome prediction from heterogeneous time series using Normalized Compression Distance and Multidimensional Scaling

José Luis Rojo-Álvarez, I. Mora-Jiménez, Ricardo Santiago-Mozos, 2013, Expert Syst. Appl..

On the differential benchmarking of promotional efficiency with machine learning modelling (II): Practical applications

José Luis Rojo-Álvarez, I. Mora-Jiménez, María Pilar Martínez-Ruiz, 2012, Expert Syst. Appl..

On problem-oriented kernel refining

I. Mora-Jiménez, Emilio Parrado-Hernández, Ángel Navia-Vázquez, 2003, Neurocomputing.

Growing support vector classifiers with controlled complexity

Aníbal R. Figueiras-Vidal, I. Mora-Jiménez, Emilio Parrado-Hernández, 2003, Pattern Recognit..

Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit

I. Mora-Jiménez, Cristina Soguero-Ruíz, Sergio Martínez-Agüero, 2019, Entropy.

Automatic Supporting System for Regionalization of Ventricular Tachycardia Exit Site in Implantable Defibrillators

José Luis Rojo-Álvarez, Margarita Sanromán-Junquera, Arcadio García-Alberola, 2015, PloS one.

A universal learning rule that minimizes well-formed cost functions

Jesús Cid-Sueiro, I. Mora-Jiménez, Jesús Cid-Sueiro, 2005, IEEE Transactions on Neural Networks.

Artificial Intelligence to Get Insights of Multi-Drug Resistance Risk Factors during the First 48 Hours from ICU Admission

I. Mora-Jiménez, C. Soguero-Ruíz, J. Álvarez-Rodríguez, 2021, Antibiotics.

Classifying cardiac arrhythmic episodes via data compression

José Luis Rojo-Álvarez, I. Mora-Jiménez, Arcadio García-Alberola, 2018, Neurocomputing.

Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps

Cristina Soguero-Ruiz, David Chushig-Muzo, A. P. Engelbrecht, 2020, IEEE Access.

Symmetrical Compression Distance for Arrhythmia Discrimination in Cloud-Based Big-Data Services

José Luis Rojo-Álvarez, I. Mora-Jiménez, Arcadio García-Alberola, 2015, IEEE Journal of Biomedical and Health Informatics.

Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events

Oscar Barquero-Perez, Rebeca Goya-Esteban, Cristina Soguero-Ruiz, 2019, Medical & Biological Engineering & Computing.

Visually guided classification trees for analyzing chronic patients

Pablo de Miguel-Bohoyo, Miguel A. Mohedano-Munoz, I. Mora-Jiménez, 2020, BMC Bioinformatics.

On the Use of Decision Trees Based on Diagnosis and Drug Codes for Analyzing Chronic Patients

I. Mora-Jiménez, Javier Ramos-López, Cristina Soguero-Ruíz, 2018, IWBBIO.

An Interoperable System toward Cardiac Risk Stratification from ECG Monitoring

Arcadi García-Alberola, José Luis Rojo-Álvarez, Javier Ramos-López, 2018, International journal of environmental research and public health.

Web application for data exchange and follow-up in Heart Rate Turbulence

José Luis Rojo-Álvarez, I. Mora-Jiménez, Arcadio García-Alberola, 2015, 2015 Computing in Cardiology Conference (CinC).

Towards semantic interoperability for Cardiovascular Risk Stratification into the electronic health records using archetypes and SNOMED-CT

José Luis Rojo-Álvarez, I. Mora-Jiménez, Arcadio García-Alberola, 2014, Computing in Cardiology 2014.

Ontology for Heart Rate Turbulence Domain From The Conceptual Model of SNOMED-CT

José Luis Rojo-Álvarez, I. Mora-Jiménez, Arcadio García-Alberola, 2013, IEEE Transactions on Biomedical Engineering.

Heart Rate Turbulence modulation with coupling interval and heart rate

J. Rojo-álvarez, I. Mora-Jiménez, A. García-Alberola, 2012, 2012 Computing in Cardiology.

Ontology for Heart Rate Turbulence domain applying the conceptual model of SNOMED-CT

A. Garcia-Alberola, O. Barquero-Perez, C. Soguero-Ruiz, 2012, 2012 Computing in Cardiology.

Safety threshold of R-wave amplitudes in patients with implantable cardioverter defibrillator

J. Rojo-álvarez, I. Mora-Jiménez, R. Peinado, 2016, Heart.

Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods

José Luis Rojo-Álvarez, Robert Jenssen, Stein Olav Skrøvseth, 2016, J. Biomed. Informatics.

Using multi-anchors to identify patients suffering from multimorbidities

Robert Jenssen, I. Mora-Jiménez, Cristina Soguero-Ruíz, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Big-data analytics for Arrhythmia Classification using data compression and kernel methods

José Luis Rojo-Álvarez, I. Mora-Jiménez, Arcadio García-Alberola, 2015, 2015 Computing in Cardiology Conference (CinC).

Traffic sign segmentation and classification using statistical learning methods

José Luis Rojo-Álvarez, I. Mora-Jiménez, Carlos Figuera, 2015, Neurocomputing.

Predicting Multidrug Resistance Using Temporal Clinical Data and Machine Learning Methods

I. Mora-Jiménez, Cristina Soguero-Ruíz, Sergio Martínez-Agüero, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Informative variable identifier: Expanding interpretability in feature selection

José Luis Rojo-Álvarez, I. Mora-Jiménez, Sergio Muñoz-Romero, 2020, Pattern Recognit..

Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance

I. Mora-Jiménez, C. Soguero-Ruíz, J. Álvarez-Rodríguez, 2022, Future Gener. Comput. Syst..

Heart Rate Variability on 7-Day Holter Monitoring Using a Bootstrap Rhythmometric Procedure

Rebeca Goya-Esteban, José Luis Rojo-Álvarez, I. Mora-Jiménez, 2010, IEEE Transactions on Biomedical Engineering.

Rhythmometric analysis of Heart Rate Variability indices during long term monitoring

R Goya-Esteban, I Mora-Jimenez, O Barquero-Perez, 2009, 2009 36th Annual Computers in Cardiology Conference (CinC).

Statistical nonlinear analysis for reliable promotion decision-making

José Luis Rojo-Álvarez, I. Mora-Jiménez, María Pilar Martínez-Ruiz, 2014, Digit. Signal Process..

On the differential benchmarking of promotional efficiency with machine learning modeling (I): Principles and statistical comparison

José Luis Rojo-Álvarez, I. Mora-Jiménez, María Pilar Martínez-Ruiz, 2012, Expert Syst. Appl..

Deal Effect Curve and Promotional Models - Using Machine Learning and Bootstrap Resampling Test

José Luis Rojo-Álvarez, I. Mora-Jiménez, María Pilar Martínez-Ruiz, 2012, ICPRAM.

Use of a K-nearest neighbors model to predict the development of type 2 diabetes within 2 years in an obese, hypertensive population

I. Mora-Jiménez, C. Soguero-Ruíz, Ó. Barquero-Pérez, 2020, Medical & Biological Engineering & Computing.

Cardiovascular risk assessment in prediabetic patients in a hypertensive population: The role of cystatin C.

I. Mora-Jiménez, C. Soguero-Ruíz, Ó. Barquero-Pérez, 2018, Diabetes & metabolic syndrome.

Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models

Miquel Sànchez-Marrè, I. Mora-Jiménez, Cristina Soguero-Ruíz, 2021, Int. J. Interact. Multim. Artif. Intell..

Scaled radial axes for interactive visual feature selection: A case study for analyzing chronic conditions

Alberto Sánchez, I. Mora-Jiménez, Cristina Soguero-Ruíz, 2018, Expert Syst. Appl..

Evaluation of Synthetic Categorical Data Generation Techniques for Predicting Cardiovascular Diseases and Post-Hoc Interpretability of the Risk Factors

I. Gram, C. Granja, I. Mora-Jiménez, 2023, Applied Sciences.

Time-Space Sampling and Mobile Device Calibration for WiFi Indoor Location Systems

José Luis Rojo-Álvarez, I. Mora-Jiménez, Mark Richard Wilby, 2011, IEEE Transactions on Mobile Computing.

Cystatin C as a predictor of cardiovascular outcomes in a hypertensive population

I. Mora-Jiménez, C. Soguero-Ruíz, Ó. Barquero-Pérez, 2017, Journal of Human Hypertension.

A Data-Driven Model Based on Support Vector Machine to Identify Chronic Hypertensive and Diabetic Patients

I. Mora-Jiménez, Cristina Soguero-Ruíz, Pablo de Miguel-Bohoyo, 2016, PhyCS.

Prevalencia y características clínicas de la esteatohepatitis no alcohólica en una población con hipertensión arterial esencial

I. Mora-Jiménez, C. Soguero-Ruíz, Ó. Barquero-Pérez, 2019, Hipertensión y Riesgo Vascular.

Sparse Vehicular Sensor Networks for Traffic Dynamics Reconstruction

Eduardo Morgado, I. Mora-Jiménez, Antonio J. Caamaño, 2015, IEEE Transactions on Intelligent Transportation Systems.

L1 penalized Cox regression to characterize cardiovascular events in hypertensive patients

Rebeca Goya-Esteban, Antonio G. Marques, I. Mora-Jiménez, 2017, 2017 Computing in Cardiology (CinC).

Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods

F. Godtliebsen, R. Jenssen, J. Rojo-álvarez, 2016, J. Biomed. Informatics.

Physiological feature analysis in Heart Rate Turbulence using LASSO model

José Luis Rojo-Álvarez, I. Mora-Jiménez, Arcadio García-Alberola, 2013, Computing in Cardiology 2013.

Ontology for Heart Rate Turbulence domain applying the conceptual model of SNOMED-CT

I. Mora-Jiménez, C. Soguero-Ruíz, A. García-Alberola, 2012, 2012 Computing in Cardiology.

Quantitative Cluster Headache Analysis for Neurological Diagnosis Support Using Statistical Classification

José Luis Rojo-Álvarez, I. Mora-Jiménez, Younes Jabrane, 2020, Inf..

Extended iris color features analysis and cluster headache diagnosis based on support vector classifier

J. Rojo-álvarez, I. Mora-Jiménez, Y. Jabrane, 2017, 2017 Intelligent Systems and Computer Vision (ISCV).

Cluster Headache Diagnosis Using Iris Color Features and Statistical Pixel Classification

José Luis Rojo-Álvarez, Inmaculada Mora-Jimenez, Mohammed El-Yaagoubi, 2016 .

A streaming data visualization framework for supporting decision-making in the Intensive Care Unit

Miguel A. Mohedano-Munoz, I. Mora-Jiménez, C. Soguero-Ruíz, 2023, Expert Syst. Appl..

Signal processing subsystem validation for T-wave alternans estimation

A Caamano-Fernandez, R Goya-Esteban, I Mora-Jimenez, 2010, 2010 Computing in Cardiology.

Use of a K-nearest neighbors model to predict the development of type 2 diabetes within 2 years in an obese, hypertensive population

Oscar Barquero-Perez, Cristina Soguero-Ruiz, Inmaculada Mora-Jimenez, 2020, Medical & Biological Engineering & Computing.

Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage

José Luis Rojo-Álvarez, Robert Jenssen, Stein Olav Skrøvseth, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).