I. Mora-Jiménez

Orcid: 0000-0003-0735-367X

Affiliations:
  • Rey Juan Carlos University, Fuenlabrada, Spain


According to our database1, I. Mora-Jiménez authored at least 93 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series.
CoRR, 2024

Naïve Bayes for Health-Status Predictive Monitoring in COVID-19: Leveraging Drugs and Diagnoses.
Proceedings of the Bioinformatics and Biomedical Engineering, 2024

Low-Rank Tensor Completion for Heart Failure Exacerbation Detection in Multivariate Time Series with Missing Data.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

Naïve Bayes as a Probabilistic Tool for Monitoring the Health Status of Chronic Patients.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

Sequential Networks for Predicting the Clinical Risk of Chronic Patients Using Drug Dispensation.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
A streaming data visualization framework for supporting decision-making in the Intensive Care Unit.
Expert Syst. Appl., October, 2023

dtwParallel: A Python package to efficiently compute dynamic time warping between time series.
SoftwareX, May, 2023

Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction.
Artif. Intell. Medicine, 2023

On the Use of Generative Adversarial Networks to Predict Health Status Among Chronic Patients.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022
Constructing Measures of Sparsity.
IEEE Trans. Knowl. Data Eng., 2022

Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance.
Future Gener. Comput. Syst., 2022

Efficient 3D human pose estimation from RGBD sensors.
Displays, 2022

Learning and visualizing chronic latent representations using electronic health records.
BioData Min., 2022

Statistical Analysis of Color Differences on Iris Images for Supporting Cluster Headache Diagnosis.
Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications, 2022

Clinical Synthetic Data Generation to Predict and Identify Risk Factors for Cardiovascular Diseases.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2022

Local Naïve Bayes for Predicting Evolution of COVID-19 Patients on Self Organizing Maps.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Data-driven cardiovascular risk prediction and prognosis factor identification in diabetic patients.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital.
IEEE J. Biomed. Health Informatics, 2021

Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models.
Int. J. Interact. Multim. Artif. Intell., 2021

Editor's Note.
Int. J. Interact. Multim. Artif. Intell., 2021

Interpreting clinical latent representations using autoencoders and probabilistic models.
Artif. Intell. Medicine, 2021

Predicting Multidrug Resistance Using Temporal Clinical Data and Machine Learning Methods.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Mapping Health Trajectories on Self Organizing Maps using COVID-19 Patient's Blood Tests.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

On the Statistical Differences in the Pharmacological Treatment of COVID-19 Patients.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
Visually guided classification trees for analyzing chronic patients.
BMC Bioinform., March, 2020

Informative variable identifier: Expanding interpretability in feature selection.
Pattern Recognit., 2020

Use of a K-nearest neighbors model to predict the development of type 2 diabetes within 2 years in an obese, hypertensive population.
Medical Biol. Eng. Comput., 2020

Quantitative Cluster Headache Analysis for Neurological Diagnosis Support Using Statistical Classification.
Inf., 2020

Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps.
IEEE Access, 2020

Aplying LSTM Networks to Predict Multi-drug Resistance Using Binary Multivariate Clinical Sequences.
Proceedings of the 9th European Starting AI Researchers' Symposium 2020 co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

Modelling Temporal Relationships in Pseudomonas Aeruginosa Antimicrobial Resistance Prediction in Intensive Care Unit.
Proceedings of the First International AAI4H, 2020

Temporal Feature Selection for Characterizing Antimicrobial Multidrug Resistance in the Intensive Care Unit.
Proceedings of the First International AAI4H, 2020

Finding Associations among Chronic Conditions by Bootstrap and Multiple Correspondence Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events.
Medical Biol. Eng. Comput., 2019

Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit.
Entropy, 2019

2018
Arrhythmia Mechanism and Scaling Effect on the Spectral Properties of Electroanatomical Maps With Manifold Harmonics.
IEEE Trans. Biomed. Eng., 2018

Classifying cardiac arrhythmic episodes via data compression.
Neurocomputing, 2018

Scaled radial axes for interactive visual feature selection: A case study for analyzing chronic conditions.
Expert Syst. Appl., 2018

Data Amount Reduction in Mosaic Image Transmission Techniques for Digital Interactive Television Applications.
IEEE Access, 2018

A Data-Driven Model Based on Support Vector Machine to Identify Chronic Hypertensive and Diabetic Patients.
Proceedings of the Physiological Computing Systems, 2018

On the Use of Decision Trees Based on Diagnosis and Drug Codes for Analyzing Chronic Patients.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

Using multi-anchors to identify patients suffering from multimorbidities.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
On the Influence of Heart Rate and Coupling Interval Prematurity on Heart Rate Turbulence.
IEEE Trans. Biomed. Eng., 2017

An Improved Secure Image Transmission Technique via Mosaic Images by Nearly Reversible Color Transformations.
Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017), 2017

Clinical Risk Groups Analysis for Chronic Hypertensive Patients in Terms of ICD9-CM Diagnosis Codes.
Proceedings of the 4th International Conference on Physiological Computing Systems (PhyCS 2017), 2017

Modeling Cardiovascular Condition Evolution in Hypertensive Population Using Graph Signal Processing.
Proceedings of the Computing in Cardiology, 2017

L1 Penalized Cox Regression to Characterize Cardiovascular Events in Hypertensive Patients.
Proceedings of the Computing in Cardiology, 2017

2016
Asymptotic Expansions for Heavy-Tailed Data.
IEEE Signal Process. Lett., 2016

Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods.
J. Biomed. Informatics, 2016

Influence of Normalization on the Analysis of Electroanatomical Maps with Manifold Harmonics.
Proceedings of the Bioinformatics and Biomedical Engineering, 2016

An Approach to New Methods for Digital Processing on Optical Mapping Sequences and Electrical Mapping.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Auto-Cropping of Phone Camera Color Images to Segment Cardiac Signals in ECG Printouts.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
Sparse Vehicular Sensor Networks for Traffic Dynamics Reconstruction.
IEEE Trans. Intell. Transp. Syst., 2015

Symmetrical Compression Distance for Arrhythmia Discrimination in Cloud-Based Big-Data Services.
IEEE J. Biomed. Health Informatics, 2015

Traffic sign segmentation and classification using statistical learning methods.
Neurocomputing, 2015

Log-cumulant matching approximation of heavy-tailed-distributed aggregate interference.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Web Application for Data Exchange and Follow-up in Heart Rate Turbulence.
Proceedings of the Computing in Cardiology, 2015

Effect of Interpolation on Electroanatomical Mapping.
Proceedings of the Computing in Cardiology, 2015

Spectral Analysis of Electroanatomical Maps for Spatial Bandwidth Estimation as Support to Ablation.
Proceedings of the Computing in Cardiology, 2015

Big-Data Analytics for Arrhythmia Classification using Data Compression and Kernel Methods.
Proceedings of the Computing in Cardiology, 2015

Data-driven Temporal Prediction of Surgical Site Infection.
Proceedings of the AMIA 2015, 2015

2014
Statistical nonlinear analysis for reliable promotion decision-making.
Digit. Signal Process., 2014

Log-cumulants-based Edgeworth expansion for skew-distributed aggregate interference.
Proceedings of the 11th International Symposium on Wireless Communications Systems, 2014

Towards Semantic Interoperability for Cardiovascular Risk Stratification into the Electronic Health Records Using Archetypes and SNOMED-CT.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

Cardiac Arrhythmia Discrimination using Evolutionary Computation.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013
Ontology for Heart Rate Turbulence Domain From The Conceptual Model of SNOMED-CT.
IEEE Trans. Biomed. Eng., 2013

Weaning outcome prediction from heterogeneous time series using Normalized Compression Distance and Multidimensional Scaling.
Expert Syst. Appl., 2013

Sparsity-Based Criteria for Entropy Measures.
Proceedings of the ISWCS 2013, 2013

Medium Access Probability in Uniform Networks with General Propagation Models.
Proceedings of the ISWCS 2013, 2013

Physiological Feature Analysis in Heart Rate Turbulence using LASSO Model.
Proceedings of the Computing in Cardiology, 2013

2012
Digital recovery of biomedical signals from binary images.
Signal Process., 2012

Advanced support vector machines for 802.11 indoor location.
Signal Process., 2012

On the differential benchmarking of promotional efficiency with machine learning modelling (II): Practical applications.
Expert Syst. Appl., 2012

On the differential benchmarking of promotional efficiency with machine learning modeling (I): Principles and statistical comparison.
Expert Syst. Appl., 2012

Message-passing algorithms for link monitoring.
Proceedings of the 2012 International Symposium on Wireless Communication Systems (ISWCS), 2012

Deal Effect Curve and Promotional Models - Using Machine Learning and Bootstrap Resampling Test.
Proceedings of the ICPRAM 2012, 2012

Fundamental frequency estimation in atrial fibrillation signals using correntropy and Fourier Organization Analysis.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2011
Time-Space Sampling and Mobile Device Calibration for WiFi Indoor Location Systems.
IEEE Trans. Mob. Comput., 2011

Multivariate spatial clustering of traffic accidents for local profiling of risk factors.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

Vehicular Sensor Networks in congested traffic: Linking STV field reconstruction and communications channel.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

2010
End-to-End Average BER in Multihop Wireless Networks over Fading Channels.
IEEE Trans. Wirel. Commun., 2010

Heart Rate Variability on 7-Day Holter Monitoring Using a Bootstrap Rhythmometric Procedure.
IEEE Trans. Biomed. Eng., 2010

2009
Nonparametric Model Comparison and Uncertainty Evaluation for Signal Strength Indoor Location.
IEEE Trans. Mob. Comput., 2009

Heart Rate Turbulence Denoising Using Support Vector Machines.
IEEE Trans. Biomed. Eng., 2009

Improving performance of neural classifiers via selective reduction of target levels.
Neurocomputing, 2009

2006
Path Efficiency in Mobile Ad-Hoc Networks.
Proceedings of the 3rd IEEE International Symposium on Wireless Communication Systems, 2006

2005
A universal learning rule that minimizes well-formed cost functions.
IEEE Trans. Neural Networks, 2005

2003
Growing support vector classifiers with controlled complexity.
Pattern Recognit., 2003

On problem-oriented kernel refining.
Neurocomputing, 2003

2002
A Trainable Classifier via k Nearest Neighbors.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

2001
Real-time high density people counter using morphological tools.
IEEE Trans. Intell. Transp. Syst., 2001

2000
A New Spread Spectrum Watermarking Method with Self-Synchronization Capabilities.
Proceedings of the 2000 International Conference on Image Processing, 2000


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