Difference between revisions of "Publicaciones en Revista"

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| [https://www.ijimai.org/journal/sites/default/files/2021-02/ijimai_6_5_12_0.pdf Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models]
 
| [https://www.ijimai.org/journal/sites/default/files/2021-02/ijimai_6_5_12_0.pdf Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models]
 
| À. Hernàndez Carnerero, M. Sànchez Marrè, I. Mora Jiménez, C. Soguero Ruiz, S. Martínez Agüero, J. Álvarez Rodríguez  
 
| À. Hernàndez Carnerero, M. Sànchez Marrè, I. Mora Jiménez, C. Soguero Ruiz, S. Martínez Agüero, J. Álvarez Rodríguez  
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| International Journal of Interactive Multimedia and Artificial Intelligence (Q2), vol. 6, no. 5, pp. 119 133
+
| International Journal of Interactive Multimedia and Artificial Intelligence (Q2), vol. 6, no. 5, pp. 119-133
 
| Feb. 2021
 
| Feb. 2021
 +
|-
 +
| A Visualization Framework for Streaming Data in Healthcare: A Case Study for Multi-Drug Resistant Bacteria in the Intensive Care Unit
 +
| M. A. Mohedano-Munoz, C. Soguero-Ruiz, I. Mora-Jiménez, M. Rubio-Sánchez, J. Álvarez-Rodríguez, A. Sanchez
 +
| Submitted to Expert Systems with Applications (Q1)
 +
| Mar. 2021
 
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|}
 
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| [https://arxiv.org/abs/1903.12575 Invariance Preserving Localized Activation Functions for Graph Neural Networks]
 
| [https://arxiv.org/abs/1903.12575 Invariance Preserving Localized Activation Functions for Graph Neural Networks]
 
| L. Ruiz, F. Gama, A. García Marqués, and A. Ribeiro
 
| L. Ruiz, F. Gama, A. García Marqués, and A. Ribeiro
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| IEEE Trans. Signal Process (Q1), vol. 68, pp. 127 141
+
| IEEE Trans. Signal Process (Q1), vol. 68, pp. 127-141
 
| Jan. 2020
 
| Jan. 2020
 
|-
 
|-
 +
| Logistic LASSO and elastic net to characterize vitamin D deficiency in a hypertensive obese population
 
| R. García Carretero, L. Vigil Medina, O. Barquero Pérez, I. Mora Jiménez, C. Soguero Ruiz, R. Goya Esteban, J. Ramos López  
 
| R. García Carretero, L. Vigil Medina, O. Barquero Pérez, I. Mora Jiménez, C. Soguero Ruiz, R. Goya Esteban, J. Ramos López  
−
| Logistic LASSO and elastic net to characterize vitamin D deficiency in a hypertensive obese population
+
| Metabolic Syndrome and Related Disorders (Q4), vol. 18, no. 2, pp. 79-85
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| Metabolic Syndrome and Related Disorders (Q4), vol. 18, no. 2, pp. 79 85
 
 
| Jan. 2020
 
| Jan. 2020
 
|-
 
|-
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| Informative Variable Identifier: Expanding Interpretability in Feature Selection
 
| Informative Variable Identifier: Expanding Interpretability in Feature Selection
 
| S. Muñoz Romero, A. Gorostiaga,  C. Soguero Ruiz, I. Mora Jiménez, JL Rojo Álvarez  
 
| S. Muñoz Romero, A. Gorostiaga,  C. Soguero Ruiz, I. Mora Jiménez, JL Rojo Álvarez  
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| Pattern Recognition (Q1), vol. 98, pp. 1 19
+
| Pattern Recognition (Q1), vol. 98, pp. 1-19
 
| Feb. 2020
 
| Feb. 2020
 
|-
 
|-
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| Use of a K-Nearest Neighbors Model to Predict the Development of Type 2 Diabetes Within 2 Years in an Obese, Hypertensive Population
 
| Use of a K-Nearest Neighbors Model to Predict the Development of Type 2 Diabetes Within 2 Years in an Obese, Hypertensive Population
 
| R. García Carretero, L. Vigil Medina, I. Mora Jiménez, C. Soguero Ruiz, O. Barquero Pérez, J. Ramos López  
 
| R. García Carretero, L. Vigil Medina, I. Mora Jiménez, C. Soguero Ruiz, O. Barquero Pérez, J. Ramos López  
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| Medical & Biological Engineering & Computing (Q2), vol. 58, no. 5, pp. 991 1002
+
| Medical & Biological Engineering & Computing (Q2), vol. 58, no. 5, pp. 991-1002
 
| May. 2020
 
| May. 2020
 
|-
 
|-
 
| [https://arxiv.org/abs/1909.12980 Estimating Network Processes via Blind Identification of Multiple Graph Filters]
 
| [https://arxiv.org/abs/1909.12980 Estimating Network Processes via Blind Identification of Multiple Graph Filters]
 
| Y. Zhu, F. J. Iglesias García, A. García Marqués, and S. Segarra
 
| Y. Zhu, F. J. Iglesias García, A. García Marqués, and S. Segarra
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| IEEE Trans. Signal Process (Q1), vol. 68, pp. 3049 3063
+
| IEEE Trans. Signal Process (Q1), vol. 68, pp. 3049-3063
 
| May. 2020
 
| May. 2020
 
|-
 
|-
 
| [https://ieeexplore.ieee.org/abstract/document/9148604 Data Driven Visual Characterization of Patient Health Status using Electronic Health Records and Self-Organizing Maps]
 
| [https://ieeexplore.ieee.org/abstract/document/9148604 Data Driven Visual Characterization of Patient Health Status using Electronic Health Records and Self-Organizing Maps]
 
| D. Chushig Muzo, C. Soguero Ruiz, A. Engelbrecht, P. de Miguel Bohoyo, I. Mora Jiménez
 
| D. Chushig Muzo, C. Soguero Ruiz, A. Engelbrecht, P. de Miguel Bohoyo, I. Mora Jiménez
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| IEEE Access (Q1), vol. 8, pp. 137019 137031
+
| IEEE Access (Q1), vol. 8, pp. 137019-137031
 
| Jul. 2020
 
| Jul. 2020
 
|-
 
|-
 
| [https://ieeexplore.ieee.org/abstract/document/8737934 Towards Organization Management Using Exploratory Screening and Big Data Tests: A Case Study of the Spanish Red Cross]
 
| [https://ieeexplore.ieee.org/abstract/document/8737934 Towards Organization Management Using Exploratory Screening and Big Data Tests: A Case Study of the Spanish Red Cross]
 
| M Rodríguez-Ibáñez, S Muñoz-Romero, C Soguero-Ruiz, FJ Gimeno-Blanes, JL Rojo-Álvarez  
 
| M Rodríguez-Ibáñez, S Muñoz-Romero, C Soguero-Ruiz, FJ Gimeno-Blanes, JL Rojo-Álvarez  
−
| IEEE Access (Q1), vol. 7, p. 80661 80674
+
| IEEE Access (Q1), vol. 7, p. 80661-80674
 
| Jun. 2020
 
| Jun. 2020
 
|-
 
|-
 
| [https://www.mdpi.com/2078-2489/11/8/393 Quantitative Cluster Headache Analysis for Neurological Diagnosis Support using Statistical Classification]
 
| [https://www.mdpi.com/2078-2489/11/8/393 Quantitative Cluster Headache Analysis for Neurological Diagnosis Support using Statistical Classification]
 
| M El Yaagoubi, I Mora Jiménez, Y Jabrane, S Muñoz Romero, JL Rojo Álvarez, JA Pareja Grande  
 
| M El Yaagoubi, I Mora Jiménez, Y Jabrane, S Muñoz Romero, JL Rojo Álvarez, JA Pareja Grande  
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| Information, vol. 11, no. 393, pp. 1 13
+
| Information, vol. 11, no. 393, pp. 1-13
 
| Aug. 2020
 
| Aug. 2020
 
|-
 
|-
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| [https://arxiv.org/abs/1805.00165 Convolutional Neural Networks Architectures for Signals Supported on Graphs]
 
| [https://arxiv.org/abs/1805.00165 Convolutional Neural Networks Architectures for Signals Supported on Graphs]
 
| F. Gama, A. García Marqués, G. Leus, and A. Ribeiro
 
| F. Gama, A. García Marqués, G. Leus, and A. Ribeiro
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| IEEE Trans. Signal Process (Q1), vol. 67, no. 4, pp. 1034 1049
+
| IEEE Trans. Signal Process (Q1), vol. 67, no. 4, pp. 1034-1049
 
| Feb. 2019
 
| Feb. 2019
 
|-
 
|-
 
| [https://arxiv.org/abs/1810.13066 Connecting the Dots: Identifying Network Structure via Graph Signal Processing]
 
| [https://arxiv.org/abs/1810.13066 Connecting the Dots: Identifying Network Structure via Graph Signal Processing]
 
| G. Mateos, S. Segarra, A. García Marqués, and A. Ribeiro
 
| G. Mateos, S. Segarra, A. García Marqués, and A. Ribeiro
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| IEEE Signal Process. Mag (Q1), vol. 36, no 3, pp. 16 43
+
| IEEE Signal Process. Mag (Q1), vol. 36, no 3, pp. 16-43
 
| May. 2019
 
| May. 2019
 
|-
 
|-
 
| [https://www.mdpi.com/1099-4300/21/6/603 Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit]
 
| [https://www.mdpi.com/1099-4300/21/6/603 Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit]
 
| S. Martínez Agüero, I. Mora Jiménez, J. Lérida García, J. Álvarez Rodríguez, C. Soguero Ruiz
 
| S. Martínez Agüero, I. Mora Jiménez, J. Lérida García, J. Álvarez Rodríguez, C. Soguero Ruiz
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| Entropy (Q2), vol. 21, no. 6, pp. 603 24 páginas
+
| Entropy (Q2), vol. 21, no. 6, pp. 603 (24 páginas)
 
| Jun. 2019
 
| Jun. 2019
 
|-
 
|-
 
| [https://tsc.urjc.es/~aMarqués/papers/srficcam_spl18.pdf Sampling and Reconstruction of Diffused Sparse Graph Signals from Successive Local Aggregations]
 
| [https://tsc.urjc.es/~aMarqués/papers/srficcam_spl18.pdf Sampling and Reconstruction of Diffused Sparse Graph Signals from Successive Local Aggregations]
 
| S. Rey Escudero, F. J. Iglesias García, C. Cabrera Guerrero, and A. García Marqués
 
| S. Rey Escudero, F. J. Iglesias García, C. Cabrera Guerrero, and A. García Marqués
−
| IEEE Signal Process. Letters (Q2), vol. 26, no. 8, pp 1142 1146
+
| IEEE Signal Process. Letters (Q2), vol. 26, no. 8, pp. 1142-1146
 
| Aug. 2019
 
| Aug. 2019
 
|-
 
|-
 
| A data-driven model based on Support Vector Machine to identify chronic hypertensive and diabetic patients
 
| A data-driven model based on Support Vector Machine to identify chronic hypertensive and diabetic patients
 
| C. Soguero Ruiz, P. de Miguel Bohoyo, I. Mora Jiménez  
 
| C. Soguero Ruiz, P. de Miguel Bohoyo, I. Mora Jiménez  
−
| Physiological Computing Systems. Revised and Extended Selected Papers. Lecture Notes in Computer Science 10057. (LNCS, volume 10057). Eds A. Holzinger, A. Pope, H.P. da Silva. Ed. Springer, ISBN 978 3 030 27949 3, pp. 110 129
+
| Physiological Computing Systems. Revised and Extended Selected Papers. Lecture Notes in Computer Science 10057. (LNCS, volume 10057). Eds A. Holzinger, A. Pope, H.P. da Silva. Ed. Springer, ISBN 978 3 030 27949 3, pp. 110-129
 
| Aug. 2019
 
| Aug. 2019
 
|-
 
|-
 
| Identification of Clinically Relevant Features in Hypertensive Patients using Penalized Regression: A Case Study of Cardiovascular Events
 
| Identification of Clinically Relevant Features in Hypertensive Patients using Penalized Regression: A Case Study of Cardiovascular Events
 
| R. García Carretero, O. Barquero Pérez, I. Mora Jiménez, C. Soguero Ruiz, R. Goya Esteban, J. Ramos López  
 
| R. García Carretero, O. Barquero Pérez, I. Mora Jiménez, C. Soguero Ruiz, R. Goya Esteban, J. Ramos López  
−
| Medical & Biological Engineering & Computing (Q3), vol. 57, no. 9, pp. 2011 2026
+
| Medical & Biological Engineering & Computing (Q3), vol. 57, no. 9, pp. 2011-2026
 
| Sep. 2019
 
| Sep. 2019
 
|-
 
|-
 
| Prevalence and clinical features of non-alcoholic steatohepatitis in a hypertensive population
 
| Prevalence and clinical features of non-alcoholic steatohepatitis in a hypertensive population
 
| R. García Carretero, O. Barquero Pérez, I. Mora Jiménez, C. Soguero Ruiz, R. Goya Esteban, C. Rodríguez Castro, J. Ramos López  
 
| R. García Carretero, O. Barquero Pérez, I. Mora Jiménez, C. Soguero Ruiz, R. Goya Esteban, C. Rodríguez Castro, J. Ramos López  
−
| Hipertensión y Riesgo Vascular vol. 36, no. 3, pp. 130 136
+
| Hipertensión y Riesgo Vascular vol. 36, no. 3, pp. 130-136
 
| Sep. 2019
 
| Sep. 2019
 
|-
 
|-
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| [https://ieeexplore.ieee.org/abstract/document/7949065 Arrhythmia Mechanism and Scaling Effect on the Spectral Properties of Electroanatomical Maps with Manifold Harmonics]
 
| [https://ieeexplore.ieee.org/abstract/document/7949065 Arrhythmia Mechanism and Scaling Effect on the Spectral Properties of Electroanatomical Maps with Manifold Harmonics]
 
| M. Sanromán Junquera, I. Mora Jiménez, A. García Alberola, A.J. Caamaño Fernández, B. Trénor Gomis, J. L. Rojo Álvarez
 
| M. Sanromán Junquera, I. Mora Jiménez, A. García Alberola, A.J. Caamaño Fernández, B. Trénor Gomis, J. L. Rojo Álvarez
−
| IEEE Transactions on Biomedical Engineering (Q1), vol. 65, no. 4, pp. 723  
+
| IEEE Transactions on Biomedical Engineering (Q1), vol. 65, no. 4, pp. 723-732
−
732
 
 
| Apr. 2018
 
| Apr. 2018
 
|-
 
|-
 
| [https://www.sciencedirect.com/science/article/pii/S0031320317304843 Time series cluster kernel for learning similarities between multivariate time series with missing data]
 
| [https://www.sciencedirect.com/science/article/pii/S0031320317304843 Time series cluster kernel for learning similarities between multivariate time series with missing data]
 
| K. Ø. Mikalsen, F. Bianchi, C. Soguero Ruiz, R. Jenssen
 
| K. Ø. Mikalsen, F. Bianchi, C. Soguero Ruiz, R. Jenssen
−
| Pattern Recognition (Q1), vol. 76, pp. 569 581
+
| Pattern Recognition (Q1), vol. 76, pp. 569-581
 
| Apr. 2018
 
| Apr. 2018
 
|-
 
|-
 
| [https://www.sciencedirect.com/science/article/pii/S1871402118300699 Cardiovascular risk assessment in prediabetic patients in a hypertensive population: The role of cystatin C]
 
| [https://www.sciencedirect.com/science/article/pii/S1871402118300699 Cardiovascular risk assessment in prediabetic patients in a hypertensive population: The role of cystatin C]
 
| R. García Carretero, L. Vigil Medina, I. Mora Jiménez, C. Soguero Ruiz, R. Goya Esteban, J Ramos López, O. Barquero Pérez
 
| R. García Carretero, L. Vigil Medina, I. Mora Jiménez, C. Soguero Ruiz, R. Goya Esteban, J Ramos López, O. Barquero Pérez
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| Diabetes Metab Syndr, vol. 12, no.5, pp. 625 629
+
| Diabetes Metab Syndr, vol. 12, no.5, pp. 625-629
 
| Apr. 2018
 
| Apr. 2018
 
|-
 
|-
 
| [https://www.sciencedirect.com/science/article/pii/S0957417418300617 Scaled Radial Axes for Interactive Visual Feature Selection: A Case Study for Analyzing Chronic Conditions]
 
| [https://www.sciencedirect.com/science/article/pii/S0957417418300617 Scaled Radial Axes for Interactive Visual Feature Selection: A Case Study for Analyzing Chronic Conditions]
 
| A. Sánchez, C. Soguero Ruiz, I. Mora Jiménez, F. J. Rivas Flores, D. J. Lehmann, M. Rubio Sánchez
 
| A. Sánchez, C. Soguero Ruiz, I. Mora Jiménez, F. J. Rivas Flores, D. J. Lehmann, M. Rubio Sánchez
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| Expert Systems with Applications (Q1), vol. 100, pp. 182 196
+
| Expert Systems with Applications (Q1), vol. 100, pp. 182-196
 
| Jun. 2018
 
| Jun. 2018
 
|-
 
|-
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| [https://ieeexplore.ieee.org/abstract/document/8368123/ Riemann Langevin Particle Filtering in Track Before Detect]
 
| [https://ieeexplore.ieee.org/abstract/document/8368123/ Riemann Langevin Particle Filtering in Track Before Detect]
 
| F. J. Iglesias García, P. K. Mandal, M. Bocquel, and A. García Marqués
 
| F. J. Iglesias García, P. K. Mandal, M. Bocquel, and A. García Marqués
−
| IEEE Signal Process. Letters (Q2), vol. 25, no. 7, pp. 1039   1043
+
| IEEE Signal Process. Letters (Q2), vol. 25, no. 7, pp. 1039-1043
 
| Jul. 2018
 
| Jul. 2018
 
|-
 
|-
 
| [https://www.sciencedirect.com/science/article/pii/S0925231218302960 Classifying Cardiac Arrhythmic Episodes via Data Compression]
 
| [https://www.sciencedirect.com/science/article/pii/S0925231218302960 Classifying Cardiac Arrhythmic Episodes via Data Compression]
 
| J.M. Lillo Castellano, J.L. Rojo Álvarez, F. Chavarría Asso, A. García García, M. Marín Méndez, A. García Alberola, I. Mora Jiménez
 
| J.M. Lillo Castellano, J.L. Rojo Álvarez, F. Chavarría Asso, A. García García, M. Marín Méndez, A. García Alberola, I. Mora Jiménez
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| Neurocomputing (Q1), vol. 307, pp.1 13
+
| Neurocomputing (Q1), vol. 307, pp. 1-13
 
| Sep. 2018
 
| Sep. 2018
 
|-
 
|-
 
| [https://ieeexplore.ieee.org/abstract/document/8430557 Rating Prediction via Graph Signal Processing]
 
| [https://ieeexplore.ieee.org/abstract/document/8430557 Rating Prediction via Graph Signal Processing]
 
| W. Huang, A. García Marqués, and A. Ribeiro
 
| W. Huang, A. García Marqués, and A. Ribeiro
−
| IEEE Trans. Signal Process (Q1), vol. 66, no. 19, pp. 5066   5081
+
| IEEE Trans. Signal Process (Q1), vol. 66, no. 19, pp. 5066-5081
 
| Oct. 2018
 
| Oct. 2018
 
|-
 
|-
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| Data Amount Reduction in Mosaic Image Transmission Techniques for Digital Interactive Television Applications
+
| [https://ieeexplore.ieee.org/document/8531605 Data Amount Reduction in Mosaic Image Transmission Techniques for Digital Interactive Television Applications]
 
| F.R. Acosta Buenaño, I. Mora Jiménez, G. Olmedo, JL Rojo Álvarez  
 
| F.R. Acosta Buenaño, I. Mora Jiménez, G. Olmedo, JL Rojo Álvarez  
 
| IEEE Access (Q1), vol. 6, no. 1, pp. 70283-70297
 
| IEEE Access (Q1), vol. 6, no. 1, pp. 70283-70297
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| [https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7926424 Optimal Graph Filter Design and Applications to Distributed Linear Network Operators]
 
| [https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7926424 Optimal Graph Filter Design and Applications to Distributed Linear Network Operators]
 
| S. Segarra, A. García Marqués, and A. Ribeiro
 
| S. Segarra, A. García Marqués, and A. Ribeiro
−
| IEEE Trans. Signal Process. (Q1), vol. 65, no. 15, pp. 4117 4131
+
| IEEE Trans. Signal Process. (Q1), vol. 65, no. 15, pp. 4117-4131
 
| Aug. 2017
 
| Aug. 2017
 
|-
 
|-
 
| [https://ieeexplore.ieee.org/abstract/document/7990048 Network Topology Inference from Spectral Templates]
 
| [https://ieeexplore.ieee.org/abstract/document/7990048 Network Topology Inference from Spectral Templates]
 
| S. Segarra, A. García Marqués, G. Mateos, and A. Ribeiro
 
| S. Segarra, A. García Marqués, G. Mateos, and A. Ribeiro
−
| IEEE Trans. Signal Inf. Process. Netw. (Q2), vol. 3, no. 3, pp. 467   483
+
| IEEE Trans. Signal Inf. Process. Netw. (Q2), vol. 3, no. 3, pp. 467-483
 
| Sept. 2017
 
| Sept. 2017
 
|-
 
|-
 
| [https://ieeexplore.ieee.org/abstract/document/8008816 Stationary Graph Processes and Spectral Estimation]
 
| [https://ieeexplore.ieee.org/abstract/document/8008816 Stationary Graph Processes and Spectral Estimation]
 
| A. García Marqués, S. Segarra, G. Leus, and A. Ribeiro,
 
| A. García Marqués, S. Segarra, G. Leus, and A. Ribeiro,
−
| IEEE Trans. Signal Process. (Q1), vol. 65, no. 22, pp. 5911 5926
+
| IEEE Trans. Signal Process. (Q1), vol. 65, no. 22, pp. 5911-5926
 
| Nov. 2017
 
| Nov. 2017
 
|-
 
|-
 
| [https://www.sciencedirect.com/science/article/pii/S0169260717311549 Using anchors from free text in electronic health records to diagnose postoperative delirium]
 
| [https://www.sciencedirect.com/science/article/pii/S0169260717311549 Using anchors from free text in electronic health records to diagnose postoperative delirium]
 
| K. Ø. Mikalsen, C. Soguero Ruiz, K. Jensen, K. Hindberg, M. Gran, A. Revhaug, R O Lindsetmo, S.O Skrøvseth, F. Godtliebsen, R. Jenssen
 
| K. Ø. Mikalsen, C. Soguero Ruiz, K. Jensen, K. Hindberg, M. Gran, A. Revhaug, R O Lindsetmo, S.O Skrøvseth, F. Godtliebsen, R. Jenssen
−
| Computer Methods and Programs in Biomedicine (Q2), vol. 152,
+
| Computer Methods and Programs in Biomedicine (Q2), vol. 152, pp.105-114
−
pp.105 114
 
 
| Dec. 2017
 
| Dec. 2017
 
|-
 
|-
 
| [https://www.nature.com/articles/jhh201768 Cystatin C as a predictor of cardiovascular outcomes in a hypertensive population]
 
| [https://www.nature.com/articles/jhh201768 Cystatin C as a predictor of cardiovascular outcomes in a hypertensive population]
 
| R. García Carretero, L. Vigil Medina, O. Barquero Pérez, R. Goya Esteban, I. Mora Jiménez, C. Soguero Ruiz, J. Ramos López
 
| R. García Carretero, L. Vigil Medina, O. Barquero Pérez, R. Goya Esteban, I. Mora Jiménez, C. Soguero Ruiz, J. Ramos López
−
| Journal of Human Hypertension 31 (Q3), vol. 12, pp. 801 807
+
| Journal of Human Hypertension 31 (Q3), vol. 12, pp. 801-807
 
| Dec. 2017
 
| Dec. 2017
 
|-
 
|-
 
|}
 
|}

Latest revision as of 10:35, 4 March 2021

Año 2021[edit]

Título Autor/es Revista Fecha Publicación
Electrocardiographic imaging including intracardiac information to achieve accurate global mapping during atrial fibrillation M. A. Cámara Vázquez, I. Hernández Romero, M. Rodrigo, F. Alonso Atienza, Carlos Figuera Pozuelo, Eduardo Morgado Reyes, F. Atienza, M. S.Guillem, A. M.Climent, Ó. Barquero Pérez Biomedical Signal Processing and Control, Elsevier (Q2), vol. 64, pp. 102354 Feb. 2021
Artificial Intelligence to Get Insights of Multi-drug Resistance Risk Factors during the First 48 Hours from ICU Admission I. Mora Jiménez , J. Tarancón Rey , J. Álvarez Rodríguez , C. Soguero Ruiz Antibiotics (Q1), 2021, 10, 239 Feb. 2021
Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models À. Hernàndez Carnerero, M. Sànchez Marrè, I. Mora Jiménez, C. Soguero Ruiz, S. Martínez Agüero, J. Álvarez Rodríguez International Journal of Interactive Multimedia and Artificial Intelligence (Q2), vol. 6, no. 5, pp. 119-133 Feb. 2021
A Visualization Framework for Streaming Data in Healthcare: A Case Study for Multi-Drug Resistant Bacteria in the Intensive Care Unit M. A. Mohedano-Munoz, C. Soguero-Ruiz, I. Mora-Jiménez, M. Rubio-Sánchez, J. Álvarez-Rodríguez, A. Sanchez Submitted to Expert Systems with Applications (Q1) Mar. 2021

Año 2020[edit]

Título Autor/es Revista Fecha Publicación
Data and Network Analytics for COVID 19 ICU Patients: A Case Study for a Spanish Hospital S. Martínez Agüero, A. García Marqués, I. Mora Jiménez, J. Álvarez Rodríguez, C. Soguero Ruiz IEEE Journal of Biomedical and Health Informatics (Q1) In review
Invariance Preserving Localized Activation Functions for Graph Neural Networks L. Ruiz, F. Gama, A. García Marqués, and A. Ribeiro IEEE Trans. Signal Process (Q1), vol. 68, pp. 127-141 Jan. 2020
Logistic LASSO and elastic net to characterize vitamin D deficiency in a hypertensive obese population R. García Carretero, L. Vigil Medina, O. Barquero Pérez, I. Mora Jiménez, C. Soguero Ruiz, R. Goya Esteban, J. Ramos López Metabolic Syndrome and Related Disorders (Q4), vol. 18, no. 2, pp. 79-85 Jan. 2020
Rethinking Sketching as Sampling: A Graph Signal Processing Approach F. Gama, A. García Marqués, G. Mateos, and A. Ribeiro Signal Processing, Elsevier (Q1), vol. 169, 107404 Jan. 2020
Informative Variable Identifier: Expanding Interpretability in Feature Selection S. Muñoz Romero, A. Gorostiaga, C. Soguero Ruiz, I. Mora Jiménez, JL Rojo Álvarez Pattern Recognition (Q1), vol. 98, pp. 1-19 Feb. 2020
Visually guided classification trees for analyzing chronic patients C. Soguero Ruiz, I. Mora Jiménez, M.A. Mohedano Munoz, M.Rubio Sanchez, P. de Miguel Bohoyo, A. Sanchez BMC Bioinformatics (Q1), vol. 21, 92 (19 páginas) Mar. 2020
Using big data from Customer Relationship Management information systems to determine the client profile in the hotel sector P. Talón-Ballestero, L González-Serrano, C Soguero-Ruiz, S Muñoz-Romero, JL. Rojo-Álvarez Tourism Management (Q1), vol. 68, pp. 187-197 Mar. 2020
Use of a K-Nearest Neighbors Model to Predict the Development of Type 2 Diabetes Within 2 Years in an Obese, Hypertensive Population R. García Carretero, L. Vigil Medina, I. Mora Jiménez, C. Soguero Ruiz, O. Barquero Pérez, J. Ramos López Medical & Biological Engineering & Computing (Q2), vol. 58, no. 5, pp. 991-1002 May. 2020
Estimating Network Processes via Blind Identification of Multiple Graph Filters Y. Zhu, F. J. Iglesias García, A. García Marqués, and S. Segarra IEEE Trans. Signal Process (Q1), vol. 68, pp. 3049-3063 May. 2020
Data Driven Visual Characterization of Patient Health Status using Electronic Health Records and Self-Organizing Maps D. Chushig Muzo, C. Soguero Ruiz, A. Engelbrecht, P. de Miguel Bohoyo, I. Mora Jiménez IEEE Access (Q1), vol. 8, pp. 137019-137031 Jul. 2020
Towards Organization Management Using Exploratory Screening and Big Data Tests: A Case Study of the Spanish Red Cross M Rodríguez-Ibáñez, S Muñoz-Romero, C Soguero-Ruiz, FJ Gimeno-Blanes, JL Rojo-Álvarez IEEE Access (Q1), vol. 7, p. 80661-80674 Jun. 2020
Quantitative Cluster Headache Analysis for Neurological Diagnosis Support using Statistical Classification M El Yaagoubi, I Mora Jiménez, Y Jabrane, S Muñoz Romero, JL Rojo Álvarez, JA Pareja Grande Information, vol. 11, no. 393, pp. 1-13 Aug. 2020
On the Differential Analysis of Enterprise Valuation Methods as a Guideline for Unlisted Companies Assessment (I): Empowering Discounted Cash Flow Valuation G Vayas-Ortega, C Soguero-Ruiz, JL. Rojo-Álvarez, FJ. Gimeno Blanes Applied Sciences (Q2), 10(15) Aug. 2020
On the Differential Analysis of Enterprise Valuation Methods as a Guideline for Unlisted Companies Assessment (II): Applying Machine-Learning Techniques for Unbiased Enterprise Value Assessment G Vayas-Ortega, C Soguero-Ruiz, JL. Rojo-Álvarez, FJ. Gimeno Blanes Applied Sciences (Q2), 10(17), 5875 Aug. 2020
Autonomic Nervous System and Recall Modeling in Audiovisual Advertising Emotion Mediated using Partial Least Squares Path modeling O. Barquero Pérez, M. Cámara Vázquez, A. Vadillo Valderrama, and R. Goya Esteban Frontiers in Psychology (Q1), vol. 11, pp. 576771 Oct. 2020
Tensor Graph Convolutional Networks: Multi relational and Robust Learning V. N. Ioannidis, A. García Marqués, and G. B. Giannakis IEEE Trans. Signal Process (Q1) Oct. 2020
Graph Signal Processing: Foundations and Emerging Directions (Editorial) A. García Marqués, N. Kiyavash, J. M. F. Moura, D. Van De Ville, and R. Willett IEEE Signal Process. Mag (Q1), vol. 37 Nov. 2020
Signal Processing over Directed Graphs A. García Marqués, S. Segarra, and G. Mateos IEEE Signal Process. Mag (Q1), vol. 37 Nov. 2020
A Big Data Approach to Customer Relationship Management Strategy in Hospitality Using Multiple Correspondence Domain Description L. González Serrano, P Talón Ballestero, S Muñoz Romero, C Soguero Ruiz, J. L. Rojo Álvarez Applied Sciences (Q2), 11(1), 256 Dec. 2020

Año 2019[edit]

Título Autor/es Revista Fecha Publicación
Convolutional Neural Networks Architectures for Signals Supported on Graphs F. Gama, A. García Marqués, G. Leus, and A. Ribeiro IEEE Trans. Signal Process (Q1), vol. 67, no. 4, pp. 1034-1049 Feb. 2019
Connecting the Dots: Identifying Network Structure via Graph Signal Processing G. Mateos, S. Segarra, A. García Marqués, and A. Ribeiro IEEE Signal Process. Mag (Q1), vol. 36, no 3, pp. 16-43 May. 2019
Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit S. Martínez Agüero, I. Mora Jiménez, J. Lérida García, J. Álvarez Rodríguez, C. Soguero Ruiz Entropy (Q2), vol. 21, no. 6, pp. 603 (24 páginas) Jun. 2019
Sampling and Reconstruction of Diffused Sparse Graph Signals from Successive Local Aggregations S. Rey Escudero, F. J. Iglesias García, C. Cabrera Guerrero, and A. García Marqués IEEE Signal Process. Letters (Q2), vol. 26, no. 8, pp. 1142-1146 Aug. 2019
A data-driven model based on Support Vector Machine to identify chronic hypertensive and diabetic patients C. Soguero Ruiz, P. de Miguel Bohoyo, I. Mora Jiménez Physiological Computing Systems. Revised and Extended Selected Papers. Lecture Notes in Computer Science 10057. (LNCS, volume 10057). Eds A. Holzinger, A. Pope, H.P. da Silva. Ed. Springer, ISBN 978 3 030 27949 3, pp. 110-129 Aug. 2019
Identification of Clinically Relevant Features in Hypertensive Patients using Penalized Regression: A Case Study of Cardiovascular Events R. García Carretero, O. Barquero Pérez, I. Mora Jiménez, C. Soguero Ruiz, R. Goya Esteban, J. Ramos López Medical & Biological Engineering & Computing (Q3), vol. 57, no. 9, pp. 2011-2026 Sep. 2019
Prevalence and clinical features of non-alcoholic steatohepatitis in a hypertensive population R. García Carretero, O. Barquero Pérez, I. Mora Jiménez, C. Soguero Ruiz, R. Goya Esteban, C. Rodríguez Castro, J. Ramos López Hipertensión y Riesgo Vascular vol. 36, no. 3, pp. 130-136 Sep. 2019

Año 2018[edit]

Título Autor/es Revista Fecha Publicación
An interoperable system towards cardiac risk stratification from ECG monitoring C. Soguero Ruiz, I. Mora Jiménez, J. Ramos López, T. Quintanilla Fernández, A. García García, D. Díez Mazuela, A. García Alberola, JL Rojo Álvarez International Journal of Environmental Research and Public Health (Q2), vol. 15, no. 3, pp. E428 (1-16) Mar. 2018
Arrhythmia Mechanism and Scaling Effect on the Spectral Properties of Electroanatomical Maps with Manifold Harmonics M. Sanromán Junquera, I. Mora Jiménez, A. García Alberola, A.J. Caamaño Fernández, B. Trénor Gomis, J. L. Rojo Álvarez IEEE Transactions on Biomedical Engineering (Q1), vol. 65, no. 4, pp. 723-732 Apr. 2018
Time series cluster kernel for learning similarities between multivariate time series with missing data K. Ø. Mikalsen, F. Bianchi, C. Soguero Ruiz, R. Jenssen Pattern Recognition (Q1), vol. 76, pp. 569-581 Apr. 2018
Cardiovascular risk assessment in prediabetic patients in a hypertensive population: The role of cystatin C R. García Carretero, L. Vigil Medina, I. Mora Jiménez, C. Soguero Ruiz, R. Goya Esteban, J Ramos López, O. Barquero Pérez Diabetes Metab Syndr, vol. 12, no.5, pp. 625-629 Apr. 2018
Scaled Radial Axes for Interactive Visual Feature Selection: A Case Study for Analyzing Chronic Conditions A. Sánchez, C. Soguero Ruiz, I. Mora Jiménez, F. J. Rivas Flores, D. J. Lehmann, M. Rubio Sánchez Expert Systems with Applications (Q1), vol. 100, pp. 182-196 Jun. 2018
Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time of use Pricing Scheme R. Gordillo Orquera, S. Muñoz Romero, D. Arcos Avilés, R. Chillón, L. M. López Ramos, A. García Marqués, J. L. Rojo Álvarez Energies 2018 (Q3), 11(6), 1454. Jun. 2018
Riemann Langevin Particle Filtering in Track Before Detect F. J. Iglesias García, P. K. Mandal, M. Bocquel, and A. García Marqués IEEE Signal Process. Letters (Q2), vol. 25, no. 7, pp. 1039-1043 Jul. 2018
Classifying Cardiac Arrhythmic Episodes via Data Compression J.M. Lillo Castellano, J.L. Rojo Álvarez, F. Chavarría Asso, A. García García, M. Marín Méndez, A. García Alberola, I. Mora Jiménez Neurocomputing (Q1), vol. 307, pp. 1-13 Sep. 2018
Rating Prediction via Graph Signal Processing W. Huang, A. García Marqués, and A. Ribeiro IEEE Trans. Signal Process (Q1), vol. 66, no. 19, pp. 5066-5081 Oct. 2018
Data Amount Reduction in Mosaic Image Transmission Techniques for Digital Interactive Television Applications F.R. Acosta Buenaño, I. Mora Jiménez, G. Olmedo, JL Rojo Álvarez IEEE Access (Q1), vol. 6, no. 1, pp. 70283-70297 Dic. 2018

Año 2017[edit]

Título Autor/es Revista Fecha Publicación
Analysis of free text in electronic health records for identification of cancer patient trajectories K. Jensen, C. Soguero Ruiz, K.O Mikalsen, R O Lindsetmo, I. Kouskoumvekaki, M. Girolami, S.O Skrovseth, K. M. Augestad Scientific Reports (Q1), vol. 7, no. 46226 Apr. 2017
Optimal Graph Filter Design and Applications to Distributed Linear Network Operators S. Segarra, A. García Marqués, and A. Ribeiro IEEE Trans. Signal Process. (Q1), vol. 65, no. 15, pp. 4117-4131 Aug. 2017
Network Topology Inference from Spectral Templates S. Segarra, A. García Marqués, G. Mateos, and A. Ribeiro IEEE Trans. Signal Inf. Process. Netw. (Q2), vol. 3, no. 3, pp. 467-483 Sept. 2017
Stationary Graph Processes and Spectral Estimation A. García Marqués, S. Segarra, G. Leus, and A. Ribeiro, IEEE Trans. Signal Process. (Q1), vol. 65, no. 22, pp. 5911-5926 Nov. 2017
Using anchors from free text in electronic health records to diagnose postoperative delirium K. Ø. Mikalsen, C. Soguero Ruiz, K. Jensen, K. Hindberg, M. Gran, A. Revhaug, R O Lindsetmo, S.O Skrøvseth, F. Godtliebsen, R. Jenssen Computer Methods and Programs in Biomedicine (Q2), vol. 152, pp.105-114 Dec. 2017
Cystatin C as a predictor of cardiovascular outcomes in a hypertensive population R. García Carretero, L. Vigil Medina, O. Barquero Pérez, R. Goya Esteban, I. Mora Jiménez, C. Soguero Ruiz, J. Ramos López Journal of Human Hypertension 31 (Q3), vol. 12, pp. 801-807 Dec. 2017
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