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Sensitivity

Papers

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Showing 701–750 of 2016 papers

TitleStatusHype
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
Causal Inference in Geosciences with Kernel Sensitivity Maps—0
Causal Inference in Geoscience and Remote Sensing from Observational Data—0
An Improved EM algorithm—0
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework—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
Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment—0
Evaluating Sensitivity Parameters in Smartphone-Based Gaze Estimation: A Comparative Study of Appearance-Based and Infrared Eye Trackers—0
Causal Analysis of ASR Errors for Children: Quantifying the Impact of Physiological, Cognitive, and Extrinsic Factors—0
Cascaded Neural Networks with Selective Classifiers and its evaluation using Lung X-ray CT Images—0
Evaluating and Aggregating Feature-based Model Explanations—0
A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions—0
Adversarial Training is a Form of Data-dependent Operator Norm Regularization—0
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network—0
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity—0
A new robust feature selection method using variance-based sensitivity analysis—0
Can LLMs Maintain Fundamental Abilities under KV Cache Compression?—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
A new paradigm for global sensitivity analysis—0
Adversarial Training for Probabilistic Spiking Neural Networks—0
Non-invasive Liver Fibrosis Screening on CT Images using Radiomics—0
Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect—0
CAMBI: Contrast-aware Multiscale Banding Index—0
Equilibria, Stability, and Sensitivity for the Aerial Suspended Beam Robotic System subject to Parameter Uncertainty—0
EpiDeNet: An Energy-Efficient Approach to Seizure Detection for Embedded Systems—0
Calibration of Distributionally Robust Empirical Optimization Models—0
A new operation mode for depth-focused high-sensitivity ToF range finding—0
Epidemiological parameter sensitivity in Covid-19 dynamics and estimation—0
Entropy analysis of word-length series of natural language texts: Effects of text language and genre—0
Entrainment of Lymphatic Contraction to Oscillatory Flow—0
Entrainment in up and down states of neural populations: non-smooth and stochastic models—0
Calibrationless Reconstruction of Uniformly-Undersampled Multi-Channel MR Data with Deep Learning Estimated ESPIRiT Maps—0
Exploiting the Sensitivity of L_2 Adversarial Examples to Erase-and-Restore—0
ERNIE-SPARSE: Robust Efficient Transformer Through Hierarchically Unifying Isolated Information—0
A New Neuromorphic Computing Approach for Epileptic Seizure Prediction—0
Estimating Driver Personality Traits from On-Road Driving Data—0
Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity—0
Estimating the tails of the spectrum of the Hessian of the log-likelihood for ab-initio single-particle reconstruction in electron cryomicroscopy—0
GAS: Generating Fast and Accurate Surrogate Models for Autonomous Vehicle Systems—0
Ensemble Learning based Anomaly Detection for IoT Cybersecurity via Bayesian Hyperparameters Sensitivity Analysis—0
Bursty and persistent properties of large-scale brain networks revealed with a point-based method for dynamic functional connectivity—0
Evaluating Compositionality of Sentence Representation Models—0
Evaluating LLMs on Chinese Topic Constructions: A Research Proposal Inspired by Tian et al. (2024)—0
Ensemble based approach to quantifying uncertainty of LLM based classifications—0
BundleSeg: A versatile, reliable and reproducible approach to white matter bundle segmentation—0
Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics—0
A new method using deep learning to predict the response to cardiac resynchronization therapy—0
Enhancing Variable Importance in Random Forests: A Novel Application of Global Sensitivity Analysis—0
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