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Sensitivity

Papers

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Showing 1851–1900 of 2016 papers

TitleStatusHype
A new method using deep learning to predict the response to cardiac resynchronization therapy—0
Sign-sensitivity of metabolic networks: which structures determine the sign of the responses—0
Bilingual by default: Voice Assistants and the role of code-switching in creating a bilingual user experience—0
Binary Mechanisms under Privacy-Preserving Noise—0
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring—0
Block-Wise Dynamic-Precision Neural Network Training Acceleration via Online Quantization Sensitivity Analytics—0
BMPQ: Bit-Gradient Sensitivity Driven Mixed-Precision Quantization of DNNs from Scratch—0
Bode Integral Limitation For Irrational Systems—0
A new method to derive the calculation formula of antenna total isotropic sensitivity—0
Boosted and Differentially Private Ensembles of Decision Trees—0
Partial Identification of Dose Responses with Hidden Confounders—0
Bounding the Probabilities of Benefit and Harm Through Sensitivity Parameters and Proxies—0
Brain activity mapping from MEG data via a hierarchical Bayesian algorithm with automatic depth weighting: sensitivity and specificity analysis—0
Brain network efficiency is influenced by pathological source of corticobasal syndrome—0
Brain Tumor Classification Using Deep Learning Technique -- A Comparison between Cropped, Uncropped, and Segmented Lesion Images with Different Sizes—0
Breakdown Point of Robust Support Vector Machine—0
Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection—0
Coupling the Gini and Angles to Evaluate Economic Dispersion—0
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning—0
BundleSeg: A versatile, reliable and reproducible approach to white matter bundle segmentation—0
Bursty and persistent properties of large-scale brain networks revealed with a point-based method for dynamic functional connectivity—0
Similarity and Quality Metrics for MR Image-To-Image Translation—0
Calibrationless Reconstruction of Uniformly-Undersampled Multi-Channel MR Data with Deep Learning Estimated ESPIRiT Maps—0
Calibration of Distributionally Robust Empirical Optimization Models—0
CAMBI: Contrast-aware Multiscale Banding Index—0
Can artificial intelligence (AI) be used to accurately detect tuberculosis (TB) from chest X-rays? An evaluation of five AI products for TB screening and triaging in a high TB burden setting—0
Can LLMs Maintain Fundamental Abilities under KV Cache Compression?—0
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity—0
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network—0
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations—0
Cascaded Neural Networks with Selective Classifiers and its evaluation using Lung X-ray CT Images—0
Simple yet Sharp Sensitivity Analysis for Unmeasured Confounding—0
Causal Analysis of ASR Errors for Children: Quantifying the Impact of Physiological, Cognitive, and Extrinsic Factors—0
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework—0
A Neural Architecture for Detecting Confusion in Eye-tracking Data—0
Causal Inference in Geoscience and Remote Sensing from Observational Data—0
Causal Inference in Geosciences with Kernel Sensitivity Maps—0
Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization—0
Causality and Bayesian network PDEs for multiscale representations of porous media—0
Causal Portfolio Optimization: Principles and Sensitivity-Based Solutions—0
Cell-cell communication enhances the capacity of cell ensembles to sense shallow gradients during morphogenesis—0
Simple yet Sharp Sensitivity Analysis for Any Contrast Under Unmeasured Confounding—0
Using Deep Learning to Improve Early Diagnosis of Pneumonia in Underdeveloped Countries—0
Challenges in the Differential Classification of Individual Diagnoses from Co-Occurring Autism and ADHD Using Survey Data—0
Simplicity Bias of Transformers to Learn Low Sensitivity Functions—0
Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer—0
Simplified Analysis on Filtering Sensitivity Trade-offs in Continuous- and Discrete-Time Systems—0
Chaotic Dynamics Enhance the Sensitivity of Inner Ear Hair Cells—0
Characterizing stable regions in the residual stream of LLMs—0
Characterizing the hyper-parameter space of LSTM language models for mixed context applications—0
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