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Sensitivity

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Showing 251–300 of 2016 papers

TitleStatusHype
A Hypersensitive Breast Cancer Detector—0
Assessing Omitted Variable Bias when the Controls are Endogenous—0
Adaptive Real-Time Grid Operation via Online Feedback Optimization with Sensitivity Estimation—0
Brain network efficiency is influenced by pathological source of corticobasal syndrome—0
Anomaly detection in wide area network mesh using two machine learning anomaly detection algorithms—0
A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks—0
A Family of Metrics for Clustering Algorithms—0
A Noise-Filtering Approach for Cancer Drug Sensitivity Prediction—0
An object-centric sensitivity analysis of deep learning based instance segmentation—0
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging—0
An Investigation on Deep Learning with Beta Stabilizer—0
A Facial Affect Analysis System for Autism Spectrum Disorder—0
Machine Learning Visualization Tool for Exploring Parameterized Hydrodynamics—0
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition—0
Beyond Pruning Criteria: The Dominant Role of Fine-Tuning and Adaptive Ratios in Neural Network Robustness—0
Bode Integral Limitation For Irrational Systems—0
BundleSeg: A versatile, reliable and reproducible approach to white matter bundle segmentation—0
An Intrinsically Explainable Approach to Detecting Vertebral Compression Fractures in CT Scans via Neurosymbolic Modeling—0
An Integrated Optimization and Machine Learning Models to Predict the Admission Status of Emergency Patients—0
A Dynamic Watermarking Algorithm for Finite Markov Decision Problems—0
An Improved EM algorithm—0
An explainable deep vision system for animal classification and detection in trail-camera images with automatic post-deployment retraining—0
Adversarial Training Generalizes Data-dependent Spectral Norm Regularization—0
Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect—0
Adversarial Training is a Form of Data-dependent Operator Norm Regularization—0
A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions—0
Non-invasive Liver Fibrosis Screening on CT Images using Radiomics—0
A new robust feature selection method using variance-based sensitivity analysis—0
A new paradigm for global sensitivity analysis—0
Adversarial Training for Probabilistic Spiking Neural Networks—0
BBPOS: BERT-based Part-of-Speech Tagging for Uzbek—0
Behavior of prediction performance metrics with rare events—0
A new operation mode for depth-focused high-sensitivity ToF range finding—0
A New Neuromorphic Computing Approach for Epileptic Seizure Prediction—0
Shifting Power: Leveraging LLMs to Simulate Human Aversion in ABMs of Bilateral Financial Exchanges, A bond market study—0
A new method using deep learning to predict the response to cardiac resynchronization therapy—0
A new method to derive the calculation formula of antenna total isotropic sensitivity—0
Adversarial robustness via stochastic regularization of neural activation sensitivity—0
Routing in Sparsely-gated Language Models responds to Context—0
Coupling the Gini and Angles to Evaluate Economic Dispersion—0
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations—0
Adversarial Robustness on Image Classification with k-means—0
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness—0
A Neural Architecture for Detecting Confusion in Eye-tracking Data—0
A 60-GHz Radar Sensor for Micron-Scale Motion Detection—0
Interpretable Biomanufacturing Process Risk and Sensitivity Analyses for Quality-by-Design and Stability Control—0
Bayesian Ridge Regression Based Model to Predict Fault Location in HVdc Network—0
Benchmarking 3D Human Pose Estimation Models Under Occlusions—0
An Estimator for the Sensitivity to Perturbations of Deep Neural Networks—0
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm—0
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