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Sensitivity

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Showing 401–450 of 2016 papers

TitleStatusHype
Social Bias Evaluation for Large Language Models Requires Prompt VariationsCode0
Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classificationCode0
Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place RecognitionCode1
Attack-Aware Noise Calibration for Differential PrivacyCode1
QUEEN: Query Unlearning against Model Extraction—0
LUT-Assisted Clock Data Recovery and Equalization for Burst-Mode 50-100 Gbit/s Bandwidth-Limited Flexible PON—0
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring—0
Quantitative Aspects, Engineering and Optimization of Bacterial Sensor Systems—0
Conditional Bayesian QuadratureCode0
A Review of Global Sensitivity Analysis Methods and a comparative case study on Digit Classification—0
Full-Space Wireless Sensing Enabled by Multi-Sector Intelligent Surfaces—0
Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis—0
Validation of a new, minimally-invasive, software smartphone device to predict sleep apnea and its severity: transversal study—0
Machine Learning Visualization Tool for Exploring Parameterized Hydrodynamics—0
An updated overview of radiomics-based artificial intelligence (AI) methods in breast cancer screening and diagnosis—0
Enhancing Monotonic Modeling with Spatio-Temporal Adaptive Awareness in Diverse Marketing—0
Certification for Differentially Private Prediction in Gradient-Based TrainingCode0
Trapezoidal Gradient Descent for Effective Reinforcement Learning in Spiking Networks—0
Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity AnalysisCode0
What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt EngineeringCode0
SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical AlterationsCode0
Development and Validation of a Machine Learning Algorithm for Clinical Wellness Visit Classification in Cats and Dogs—0
A Better LLM Evaluator for Text Generation: The Impact of Prompt Output Sequencing and Optimization—0
Towards Full Integration of Artificial Intelligence in Colon Capsule Endoscopy's Pathway—0
The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study—0
Simple yet Sharp Sensitivity Analysis for Any Contrast Under Unmeasured Confounding—0
Development of Focused X-ray Luminescence Compute Tomography Imaging—0
Risk Sensitivity in Markov Games and Multi-Agent Reinforcement Learning: A Systematic Review—0
Global Sensitivity Analysis of Uncertain Parameters in Bayesian Networks—0
Sensitivity Assessing to Data Volume for forecasting: introducing similarity methods as a suitable one in Feature selection methods—0
A Hybrid Deep Learning Classification of Perimetric Glaucoma Using Peripapillary Nerve Fiber Layer Reflectance and Other OCT Parameters from Three Anatomy Regions—0
LLM as a Scorer: The Impact of Output Order on Dialogue Evaluation—0
Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models—0
Nonlinear Model Predictive Control for Preview-Based Traction Control—0
Sensitivity-Informed Augmentation for Robust Segmentation—0
Expected Grad-CAM: Towards gradient faithfulnessCode0
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization—0
Modal Analysis of Power System with High CIG Penetration Based on Impedance Models—0
Optimal bounds for _p sensitivity sampling via _2 augmentation—0
A Deep Learning Model for Coronary Artery Segmentation and Quantitative Stenosis Detection in Angiographic ImagesCode1
Project Risk Management from the bottom-up: Activity Risk Index—0
Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement—0
Sensitivity Analysis for Piecewise-Affine Approximations of Nonlinear Programs with Polytopic Constraints—0
A Staged Approach using Machine Learning and Uncertainty Quantification to Predict the Risk of Hip Fracture—0
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization—0
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba—0
Pruning for Robust Concept Erasing in Diffusion Models—0
Discovering deposition process regimes: leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis—0
Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs ProductionCode0
Ferrari: Federated Feature Unlearning via Optimizing Feature SensitivityCode1
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