AIMC Topic: Statistics, Nonparametric

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Machine learning-based mortality rate prediction using optimized hyper-parameter.

Computer methods and programs in biomedicine Aug 18, 2020
OBJECTIVE AND BACKGROUND: The current scenario of the Pandemic of COVID-19 demands multi-channel investigations and predictions. A variety of prediction models are available in the literature. The majority of these models are based on extrapolating b...
Models, Statistical Regression Analysis Models, Biological Nonlinear Dynamics COVID-19 Humans Sweden Computational Biology Machine Learning Pandemics Statistics, Nonparametric Normal Distribution
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A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds.

Neural networks : the official journal of the International Neural Network Society Aug 18, 2020
A new robust algorithm based on the explanation method SurvLIME called SurvLIME-KS is proposed for explaining machine learning survival models. The algorithm is developed to ensure robustness to cases of a small amount of training data or outliers of...
Algorithms Survival Rate Proportional Hazards Models Statistics, Nonparametric Humans Machine Learning
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Guided neural style transfer for shape stylization.

PloS one Jun 4, 2020
Designing logos, typefaces, and other decorated shapes can require professional skills. In this paper, we aim to produce new and unique decorated shapes by stylizing ordinary shapes with machine learning. Specifically, we combined parametric and non-...
Computer-Aided Design Humans Statistics, Nonparametric Machine Learning Computer Graphics Emblems and Insignia Art
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Evaluation of an AI-based, automatic coronary artery calcium scoring software.

European radiology Nov 14, 2019
OBJECTIVES: To evaluate an artificial intelligence (AI)-based, automatic coronary artery calcium (CAC) scoring software, using a semi-automatic software as a reference.
Female Cross-Sectional Studies Male Middle Aged Humans Artificial Intelligence Software Tomography, X-Ray Computed Coronary Vessels Coronary Angiography Statistics, Nonparametric Coronary Artery Disease Calcium
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Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data.

Scientific reports Jul 19, 2019
Breast lesion detection employing state of the art microwave systems provide a safe, non-ionizing technique that can differentiate healthy and non-healthy tissues by exploiting their dielectric properties. In this paper, a microwave apparatus for bre...
Statistics, Nonparametric Dielectric Spectroscopy Scattering, Radiation Microwave Imaging Equipment Design Ultrasonography, Mammary Breast Clinical Trials as Topic Humans Support Vector Machine Neural Networks, Computer Magnetic Resonance Imaging Algorithms Mammography Female Breast Neoplasms ROC Curve
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Variable Selection for Nonparametric Learning with Power Series Kernels.

Neural computation Jul 1, 2019
In this letter, we propose a variable selection method for general nonparametric kernel-based estimation. The proposed method consists of two-stage estimation: (1) construct a consistent estimator of the target function, and (2) approximate the estim...
Renal Insufficiency, Chronic Diabetes Mellitus Statistics, Nonparametric Post-Cardiac Arrest Syndrome Adult Neoplasms Logistic Models Humans Machine Learning Computer Simulation Female
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Evolving neural networks to follow trajectories of arbitrary complexity.

Neural networks : the official journal of the International Neural Network Society May 8, 2019
Many experiments have been performed that use evolutionary algorithms for learning the topology and connection weights of a neural network that controls a robot or virtual agent. These experiments are not only performed to better understand basic bio...
Robotics Statistics, Nonparametric Neural Networks, Computer Machine Learning Algorithms
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Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification.

Scientific reports Apr 23, 2019
The increased availability of labeled X-ray image archives (e.g. ChestX-ray14 dataset) has triggered a growing interest in deep learning techniques. To provide better insight into the different approaches, and their applications to chest X-ray classi...
Deep Learning Adolescent Child, Preschool Child Image Processing, Computer-Assisted Models, Theoretical Area Under Curve Databases as Topic Young Adult Adult Middle Aged Infant Infant, Newborn Humans Aged Aged, 80 and over Age Distribution Thorax Statistics, Nonparametric X-Rays
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A Predictive Model for Guillain-Barré Syndrome Based on Ensemble Methods.

Computational intelligence and neuroscience Nov 5, 2018
Nowadays, Machine Learning methods have proven to be highly effective on the identification of various types of diseases, in the form of predictive models. Guillain-Barré syndrome (GBS) is a potentially fatal autoimmune neurological disorder that has...
Predictive Value of Tests Guillain-Barre Syndrome Humans Machine Learning Algorithms Data Mining Statistics, Nonparametric Female Sensitivity and Specificity Male Decision Support Systems, Clinical
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Identification of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Pulmonary Disease (COPD) using Machine-Based Learning Algorithms.

Scientific reports Oct 25, 2018
The aim of this project was to identify candidate novel therapeutic targets to facilitate the treatment of COPD using machine-based learning (ML) algorithms and penalized regression models. In this study, 59 healthy smokers, 53 healthy non-smokers an...
Male Middle Aged Disease Progression Lung Female Adult Pulmonary Disease, Chronic Obstructive Humans Gene Expression Regulation Machine Learning Case-Control Studies Smokers Algorithms Genetic Association Studies Statistics, Nonparametric Cluster Analysis Epithelial Cells
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