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Sensitivity

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Showing 951–1000 of 2016 papers

TitleStatusHype
Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder—0
Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation—0
Bode Integral Limitation For Irrational Systems—0
Identification of Parameters for Large-scale Models in Systems Biology—0
An Estimator for the Sensitivity to Perturbations of Deep Neural Networks—0
IGLOSS: iterative gapless local similarity search—0
EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer—0
Image classifiers can not be made robust to small perturbations—0
Empirical Risk Minimization with Relative Entropy Regularization: Optimality and Sensitivity Analysis—0
BMPQ: Bit-Gradient Sensitivity Driven Mixed-Precision Quantization of DNNs from Scratch—0
Impact Sensitivity Analysis of Cooperative Adaptive Cruise Control Against Resource-Limited Adversaries—0
Empirical Risk Minimization with Relative Entropy Regularization—0
Impedance-based Root-cause Analysis: Comparative Study of Impedance Models and Calculation of Eigenvalue Sensitivity—0
Implicit Greedy Rank Learning in Autoencoders via Overparameterized Linear Networks—0
Implicit Neural Representation-Based MRI Reconstruction Method with Sensitivity Map Constraints—0
Implicit Regression in Subspace for High-Sensitivity CEST Imaging—0
Block-Wise Dynamic-Precision Neural Network Training Acceleration via Online Quantization Sensitivity Analytics—0
Improved Heatmap-based Landmark Detection—0
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm—0
eLIAN: Enhanced Algorithm for Angle-constrained Path Finding—0
Electrochemical Parameter Identification for Lithium-ion Battery Sources in Self-Sustained Transportation Energy Systems—0
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning—0
Improving Analog Neural Network Robustness: A Noise-Agnostic Approach with Explainable Regularizations—0
Improving Baseline Subtraction for Increased Sensitivity of Quantitative PCR Measurements—0
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring—0
Improving Color Constancy by Discounting the Variation of Camera Spectral Sensitivity—0
elaTCSF: A Temporal Contrast Sensitivity Function for Flicker Detection and Modeling Variable Refresh Rate Flicker—0
Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation—0
Eigenvector-Based Sensitivity Analysis of Contact Patterns in Epidemic Modeling—0
Binary Mechanisms under Privacy-Preserving Noise—0
Improving new physics searches with diffusion models for event observables and jet constituents—0
Improving Performance Insensitivity of Large-scale Multiobjective Optimization via Monte Carlo Tree Search—0
A Comprehensive Study of Machine Learning Techniques for Log-Based Anomaly Detection—0
Eigen-Distortions of Hierarchical Representations—0
Efficient Uncertainty Quantification in a Multiscale Model of Pulmonary Arterial and Venous Hemodynamics—0
Bilingual by default: Voice Assistants and the role of code-switching in creating a bilingual user experience—0
Efficient Test-time Adaptive Object Detection via Sensitivity-Guided Pruning—0
Efficient Sensitivity Analysis for Parametric Robust Markov Chains—0
An Empirical Study on Capability of Large Language Models in Understanding Code Semantics—0
Incorporating LLM Priors into Tabular Learners—0
Adversarial Networks for Prostate Cancer Detection—0
A Comparative Study of Sensitivity Computations in ESDIRK-Based Optimal Control Problems—0
Efficient Sampling and Sensitivity Analysis of Rare Transient Instability Events via Subset Simulation—0
Inferring exemplar discriminability in brain representations—0
Influence of Event Duration on Automatic Wheeze Classification—0
Information geometry of chemical reaction networks: Cramer-Rao bound and absolute sensitivity revisited—0
Information Gravity: A Field-Theoretic Model for Token Selection in Large Language Models—0
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests—0
Information-theoretic Analysis of Test Data Sensitivity in Uncertainty—0
Efficient Jailbreaking of Large Models by Freeze Training: Lower Layers Exhibit Greater Sensitivity to Harmful Content—0
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