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Fernando Sánchez Hernández
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2020 – today
- 2022
- [j2]Yiyu Liu, Fernando Sánchez Hernández, Fransisca Ting, Daniel C. Hyde:
Comparing fixed-array and functionally-defined channel of interest approaches to infant functional near-infrared spectroscopy data. NeuroImage 261: 119520 (2022) - [i2]Mohamed S. Kraiem, Fernando Sánchez Hernández, María N. Moreno García:
Selecting the suitable resampling strategy for imbalanced data classification regarding dataset properties. CoRR abs/2201.07932 (2022) - 2020
- [i1]Fernando Sánchez Hernández, Juan Carlos Ballesteros Herráez, Mohamed S. Kraiem, Mercedes Sánchez Barba, María N. Moreno García:
Predictive Modeling of ICU Healthcare-Associated Infections from Imbalanced Data. Using Ensembles and a Clustering-Based Undersampling Approach. CoRR abs/2005.03582 (2020)
2010 – 2019
- 2017
- [j1]Javier González Robledo, Félix Martín González, Mercedes Sánchez Barba, Fernando Sánchez Hernández, María N. Moreno García:
Multiclassifier Systems for Predicting Neurological Outcome of Patients with Severe Trauma and Polytrauma in Intensive Care Units. J. Medical Syst. 41(9): 136 (2017) - 2016
- [c3]María N. Moreno García, Juan Carlos Ballesteros Herráez, Mercedes Sánchez Barba, Fernando Sánchez Hernández:
Random Forest Based Ensemble Classifiers for Predicting Healthcare-Associated Infections in Intensive Care Units. DCAI 2016: 303-311 - 2014
- [c2]María N. Moreno García, Félix Martín González, Javier González Robledo, Fernando Sánchez Hernández:
Mining patient data from heterogeneous sources for decision making on administration of non invasive mechanical ventilation in intensive care units. FUSION 2014: 1-7 - [c1]María N. Moreno García, Javier González Robledo, Félix Martín González, Fernando Sánchez Hernández, Mercedes Sánchez Barba:
Machine Learning Methods for Mortality Prediction of Polytraumatized Patients in Intensive Care Units - Dealing with Imbalanced and High-Dimensional Data. IDEAL 2014: 309-317
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