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Sensitivity

Papers

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Showing 1976–2000 of 2016 papers

TitleStatusHype
Convolutional Neural Network-based Topology Optimization (CNN-TO) By Estimating Sensitivity of Compliance from Material Distribution—0
Convolutional neural network for detection and classification of seizures in clinical data—0
Cooperative SIR dynamics as a model for spontaneous blood clot initiation—0
Co-optimization of Energy and Reserve with Incentives to Wind Generation: Case Study—0
Coordinated Scheduling of Electric Vehicles Within Zero Carbon Emission Hybrid AC/DC Microgrids—0
COPAL: Continual Pruning in Large Language Generative Models—0
Coresets for Near-Convex Functions—0
Coronavirus RNA Sensor Using Single-Stranded DNA Bonded to Sub-Percolated Gold Films on Monolayer Graphene Field-Effect Transistors—0
Correlation-invariant synaptic plasticity—0
A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans—0
Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging—0
Small Noise Analysis of Non-Parametric Closed-Loop Identification—0
Cost-Effective Design of Grid-tied Community Microgrid—0
Costly Features Classification using Monte Carlo Tree Search—0
Cost-Sensitive Machine Learning Classification for Mass Tuberculosis Verbal Screening—0
COTR: Convolution in Transformer Network for End to End Polyp Detection—0
CoughTrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-efficient Sensitivity-prioritized Time Series Classifier—0
An Empirical Analysis of Deep Audio-Visual Models for Speech Recognition—0
An EMD-based Method for the Detection of Power Transformer Faults with a Hierarchical Ensemble Classifier—0
Counterfactual Sensitivity and Robustness—0
Small-Noise Sensitivity Analysis of Locating Pulses in the Presence of Adversarial Perturbation—0
An Effective Networks Intrusion Detection Approach Based on Hybrid Harris Hawks and Multi-Layer Perceptron—0
Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations—0
COVID-19 Classification of X-ray Images Using Deep Neural Networks—0
An Economy of Neural Networks: Learning from Heterogeneous Experiences—0
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