Sergio Muñoz-Romero

Orcid: 0000-0003-1356-2646

According to our database1, Sergio Muñoz-Romero authored at least 40 papers between 2005 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Anomaly Detection From Low-Dimensional Latent Manifolds With Home Environmental Sensors.
IEEE Internet Things J., April, 2024

2023
Manifold analysis of the P-wave changes induced by pulmonary vein isolation during cryoballoon procedure.
Comput. Biol. Medicine, March, 2023

Multicomponent Organization Analysis in Spatial Domains of Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2023

An Embedding Approach for Biomarker Identification in Hypertrophic Cardiomyopathy.
Proceedings of the Computing in Cardiology, 2023

2022
Generalization and Regularization for Inverse Cardiac Estimators.
IEEE Trans. Biomed. Eng., 2022

Multivariate feature selection and autoencoder embeddings of ovarian cancer clinical and genetic data.
Expert Syst. Appl., 2022

2021
Data Science Analysis and Profile Representation Applied to Secondary Prevention of Acute Coronary Syndrome.
IEEE Access, 2021

Text Analytics and Mixed Feature Extraction in Ovarian Cancer Clinical and Genetic Data.
IEEE Access, 2021

A Resampling Univariate Analysis Approach to Ovarian Cancer From Clinical and Genetic Data.
IEEE Access, 2021

Causal Quantification of Cannibalization During Promotional Sales in Grocery Retail.
IEEE Access, 2021

2020
Spatial-Temporal Signals and Clinical Indices in Electrocardiographic Imaging (I): Preprocessing and Bipolar Potentials.
Sensors, 2020

Spatial-Temporal Signals and Clinical Indices in Electrocardiographic Imaging (II): Electrogram Clustering and T-Wave Alternans.
Sensors, 2020

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

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

On the Statistical and Temporal Dynamics of Sentiment Analysis.
IEEE Access, 2020

Cold-Start Promotional Sales Forecasting Through Gradient Boosted-Based Contrastive Explanations.
IEEE Access, 2020

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

2019
Entropic Statistical Description of Big Data Quality in Hotel Customer Relationship Management.
Entropy, 2019

On the Robustness of Multiscale Indices for Long-Term Monitoring in Cardiac Signals.
Entropy, 2019

Towards Organization Management Using Exploratory Screening and Big Data Tests: A Case Study of the Spanish Red Cross.
IEEE Access, 2019

Forecasting Promotional Sales Within the Neighbourhood.
IEEE Access, 2019

2018
Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction.
IEEE Trans. Multim., 2018

Force Trends and Pulsatility for Catheter Contact Identification in Intracardiac Electrograms during Arrhythmia Ablation.
Sensors, 2018

Multiparametric Monitoring in Equatorian Tomato Greenhouses (III): Environmental Measurement Dynamics.
Sensors, 2018

Multiparametric Monitoring in Equatorian Tomato Greenhouses (II): Energy Consumption Dynamics.
Sensors, 2018

Multiparametric Monitoring in Equatorian Tomato Greenhouses (I): Wireless Sensor Network Benchmarking.
Sensors, 2018

Event Analysis on Power Communication Networks With Big Data for Maintenance Forms.
IEEE Access, 2018

From E-911 to NG-911: Overview and Challenges in Ecuador.
IEEE Access, 2018

T-Wave Alternans Analysis With Electrocardiographic Imaging.
Proceedings of the Computing in Cardiology, 2018

2017
Water Quality Sensing and Spatio-Temporal Monitoring Structure with Autocorrelation Kernel Methods.
Sensors, 2017

A novel framework for parsimonious multivariate analysis.
Pattern Recognit., 2017

Effect of Different Ventricular Arrhythmia Origin on Cardiac Sound Variability Using M-mode Signal Representation.
Proceedings of the Computing in Cardiology, 2017

2016
Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection.
IEEE Comput. Intell. Mag., 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 and kernel OPLS feature extraction based on eigenvalue problem solving.
Pattern Recognit., 2015

2013
Iterative orthonormalized partial least squares with sparsity constraints.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Semisupervised kernel orthonormalized partial least squares.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

2009
Real Adaboost Ensembles with Emphasized Subsampling.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2005
Fast Classification with Neural Networks via Confidence Rating.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005


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