<p>Comparison of Positive Predictive Value in Different At-Risk Populations Using the Neural Network Based Predictive Model.</p
Abstract: Neural networks are a consistent example of non-parametric estimation, with powerful unive...
We present a new method, inspired by the bootstrap, whose goal it is to determine the quality and re...
The field of neural networks is a wide and diverse field which spans a variety of interests, modelli...
Comparison of the predicted survival score for the total dataset and each injury mechanism with the ...
Comparison between the predictive capacities of the acquired imaging parameters when used alone and ...
Comparison of false positive ratio (FPR) and true positive ratio (TPR) for machine learning algorith...
We describe models for survival analysis which are based on a multi-layer perceptron, a type of neur...
We describe models for survival analysis which are based on a multi-layer perceptron, a type of neur...
The goal of this paper is to compare and analyze the forecasting performance of two artificial neura...
<p>Raw prediction results from 11 predictors first entered ranking system to give prediction for eac...
Comparison between the general convolutional neural network and the proposed model.</p
We describe models for survival analysis which are based on a multi-layer perceptron, a type of neur...
<p>Comparison of models to predict detection probability across trigger type and target variables.</...
The objective of this research was to compare the accuracy of two types of neural networks in identi...
Neural network (NN) is a representative data-driven method, which is one of prognostics approaches t...
Abstract: Neural networks are a consistent example of non-parametric estimation, with powerful unive...
We present a new method, inspired by the bootstrap, whose goal it is to determine the quality and re...
The field of neural networks is a wide and diverse field which spans a variety of interests, modelli...
Comparison of the predicted survival score for the total dataset and each injury mechanism with the ...
Comparison between the predictive capacities of the acquired imaging parameters when used alone and ...
Comparison of false positive ratio (FPR) and true positive ratio (TPR) for machine learning algorith...
We describe models for survival analysis which are based on a multi-layer perceptron, a type of neur...
We describe models for survival analysis which are based on a multi-layer perceptron, a type of neur...
The goal of this paper is to compare and analyze the forecasting performance of two artificial neura...
<p>Raw prediction results from 11 predictors first entered ranking system to give prediction for eac...
Comparison between the general convolutional neural network and the proposed model.</p
We describe models for survival analysis which are based on a multi-layer perceptron, a type of neur...
<p>Comparison of models to predict detection probability across trigger type and target variables.</...
The objective of this research was to compare the accuracy of two types of neural networks in identi...
Neural network (NN) is a representative data-driven method, which is one of prognostics approaches t...
Abstract: Neural networks are a consistent example of non-parametric estimation, with powerful unive...
We present a new method, inspired by the bootstrap, whose goal it is to determine the quality and re...
The field of neural networks is a wide and diverse field which spans a variety of interests, modelli...
DOI
Add to ORKG