Listar por tema "predictive models"
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PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation
IEEE (2021-10-11)Building footprint segmentation from high-resolution remote sensing (RS) images plays a vital role in urban planning, disaster response, and population density estimation. Convolutional neural networks (CNNs) have been ... -
Predictive Models for Forecasting Public Health Scenarios: Practical Experiences Applied during the First Wave of the COVID-19 Pandemic
MDPI (2022-05-03)Background: Forecasting the behavior of epidemic outbreaks is vital in public health. This makes it possible to anticipate the planning and organization of the health system, as well as possible restrictive or preventive ... -
Predictive risk model of recurrence of acute diverticulitis after the first episode (Epub ahead of print)
Wiley (2023-12-01)INTRODUCTION: The recurrence of acute diverticulitis (AD) of the colon is frequent and leads to hospital readmissions and the need for elective surgery in selected cases. It is important to individualize risk factors and ... -
Revisiting the Dissimilarity Representation in the Context of Regression
IEEE (2021-12-02)In machine learning, a natural way to represent an instance is by using a feature vector. However, several studies have shown that this representation may not accurately characterize an object. For classification problems, ... -
Sistemas de clasificación y predicción de riesgo de malignidad de las lesiones anexiales
Elsevier (2017)El diagnóstico de una masa anexial es un problema frecuente en la consulta ginecológica. El principal objetivo de la evaluación de una masa anexial es el diagnóstico o exclusión de malignidad, dado que el cáncer de ovario ...