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Sensitivity

Papers

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Showing 1851–1900 of 2016 papers

TitleStatusHype
Effect of fixation target on the contrast sensitivity in the foveal and parafoveal area—0
Variational Bayesian Inference For A Scale Mixture Of Normal Distributions Handling Missing Data—0
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding—0
Detection of Tooth caries in Bitewing Radiographs using Deep Learning—0
Calibration of Distributionally Robust Empirical Optimization Models—0
Dynamic Principal Projection for Cost-Sensitive Online Multi-Label Classification—0
Smooth Sensitivity Based Approach for Differentially Private Principal Component Analysis—0
Superpixel Based Segmentation and Classification of Polyps in Wireless Capsule Endoscopy—0
Eigen-Distortions of Hierarchical Representations—0
Shadow Detection With Conditional Generative Adversarial Networks—0
What is the Machine Learning?—0
Monocular Navigation in Large Scale Dynamic Environments—0
Quantifying the Effects of Text Duplication on Semantic Models—0
Deep Learning to Improve Breast Cancer Early Detection on Screening MammographyCode1
Optimization of Ensemble Supervised Learning Algorithms for Increased Sensitivity, Specificity, and AUC of Population-Based Colorectal Cancer Screenings—0
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks—0
Explicit expressions for European option pricing under a generalized skew normal distribution—0
NMR microscopy for in vivo metabolomics, digitally twinned by computational systems biology, needs a sensitivity boost—0
A Family of Metrics for Clustering Algorithms—0
A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head—0
Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging—0
Brain activity mapping from MEG data via a hierarchical Bayesian algorithm with automatic depth weighting: sensitivity and specificity analysis—0
Coexistence of critical sensitivity and subcritical specificity can yield optimal population coding—0
Recognizing Abnormal Heart Sounds Using Deep Learning—0
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentationsCode1
Sensitivity Analysis for Mirror-Stratifiable Convex FunctionsCode0
Convergence Analysis of Backpropagation Algorithm for Designing an Intelligent System for Sensing Manhole Gases—0
Cardiologist-Level Arrhythmia Detection with Convolutional Neural NetworksCode1
A Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis—0
Deep Learning of Human Visual Sensitivity in Image Quality Assessment FrameworkCode1
Products of Compartmental Models in Epidemiology—0
Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO—0
Plant responses to auxin signals: an operating principle for dynamical sensitivity yet high resilience—0
SmoothGrad: removing noise by adding noiseCode4
Pain-Free Random Differential Privacy with Sensitivity Sampling—0
Spectral Norm Regularization for Improving the Generalizability of Deep Learning—0
Theoretical Sensitivity Analysis for Quantitative Operational Risk Management—0
Dictionary-based Monitoring of Premature Ventricular Contractions: An Ultra-Low-Cost Point-of-Care Service—0
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network—0
Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation—0
Deep Learning for Tumor Classification in Imaging Mass Spectrometry—0
Parameter Estimation in Computational Biology by Approximate Bayesian Computation coupled with Sensitivity AnalysisCode0
Excitable behaviors—0
Concentration Bounds for High Sensitivity Functions Through Differential Privacy—0
Multi-stage Neural Networks with Single-sided Classifiers for False Positive Reduction and its Evaluation using Lung X-ray CT Images—0
Equivariance Through Parameter-SharingCode0
Sensitivity analysis for expected utility maximization in incomplete Brownian market models—0
Quantifying Program Bias—0
Prototypal Analysis and Prototypal Regression—0
Human perception in computer vision—0
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