Name
Affiliation
Papers
CRISTINA SOGUERO-RUIZ
Department of Signal Theory and Communications, Universidad Rey Juan Carlos, Fuenlabrada, Spain
33
Collaborators
Citations 
PageRank 
70
65
12.73
Referers 
Referees 
References 
180
632
259
Search Limit
100632
Title
Citations
PageRank
Year
Time series cluster kernels to exploit informative missingness and incomplete label information00.342021
Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital00.342021
Temporal Feature Selection for Characterizing Antimicrobial Multidrug Resistance in the Intensive Care Unit.00.342020
Modelling Temporal Relationships in Pseudomonas Aeruginosa Antimicrobial Resistance Prediction in Intensive Care Unit.00.342020
Use of a K-nearest neighbors model to predict the development of type 2 diabetes within 2 years in an obese, hypertensive population.00.342020
Aplying LSTM Networks to Predict Multi-drug Resistance Using Binary Multivariate Clinical Sequences.00.342020
Informative variable identifier: Expanding interpretability in feature selection.30.522020
Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit.00.342019
Noisy multi-label semi-supervised dimensionality reduction.20.362019
Entropic Statistical Description of Big Data Quality in Hotel Customer Relationship Management00.342019
Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data.00.342019
Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events.00.342019
Event Analysis on Power Communication Networks With Big Data for Maintenance Forms.00.342018
Towards deep anchor learning00.342018
Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data.130.562018
An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples.00.342018
Scaled radial axes for interactive visual feature selection: A case study for analyzing chronic conditions.40.432018
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks20.372018
Using Multi-Anchors To Identify Patients Suffering From Multimorbidities00.342018
Using anchors from free text in electronic health records to diagnose postoperative delirium.20.362017
L1 Penalized Cox Regression To Characterize Cardiovascular Events In Hypertensive Patients00.342017
Modelling Cardiovascular Condition Evolution In Hypertensive Population Using Graph Signal Processing00.342017
Support Vector Feature Selection for Early Detection of Anastomosis Leakage from Bag-of-Words in Electronic Health Records.60.452016
Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods.80.542016
Kernel covariance series smoothing00.342015
Data-driven Temporal Prediction of Surgical Site Infection.20.362015
Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage10.362014
Statistical nonlinear analysis for reliable promotion decision-making.20.372014
Ontology for heart rate turbulence domain from the conceptual model of SNOMED-CT.30.422013
Forecasting socioeconomic trends with cell phone records110.592013
Deal Effect Curve and Promotional Models - Using Machine Learning and Bootstrap Resampling Test.10.362012
On the differential benchmarking of promotional efficiency with machine learning modeling (I): Principles and statistical comparison30.472012
On the differential benchmarking of promotional efficiency with machine learning modelling (II): Practical applications20.432012