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Experimental Design

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Showing 351–375 of 688 papers

TitleStatusHype
Occipital and left temporal EEG correlates of phenomenal consciousness—0
Off-Policy Selection for Initiating Human-Centric Experimental Design—0
On Active Learning for Gaussian Process-based Global Sensitivity Analysis—0
Oncology and mechanics: landmark studies and promising clinical applications—0
On Deep Learning in Password Guessing, a Survey—0
On Fractional Moment Estimation from Polynomial Chaos Expansion—0
Online Experimental Design With Estimation-Regret Trade-off Under Network Interference—0
Online Graph Completion: Multivariate Signal Recovery in Computer Vision—0
Online Causal Inference for Advertising in Real-Time Bidding Auctions—0
On Nesting Monte Carlo Estimators—0
On The Difficulty of Warm-Starting Neural Network Training—0
On the Generalizability of Linear and Non-Linear Region of Interest-Based Multivariate Regression Models for fMRI Data—0
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods—0
On the importance of block randomisation when designing proteomics experiments—0
On the Optimality of Randomization in Experimental Design: How to Randomize for Minimax Variance and Design-Based Inference—0
On the Perception of Difficulty: Differences between Humans and AI—0
On the Performance of the Neyman Allocation with Small Pilots—0
Optimal Bayesian experimental design for subsurface flow problems—0
Optimal Data Collection For Informative Rankings Expose Well-Connected Graphs—0
Optimal Design of Experiment for Electrochemical Parameter Identification of Li-ion Battery via Deep Reinforcement Learning—0
Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations—0
Optimal Experimental Design of Field Trials using Differential Evolution—0
Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks—0
Optimal Experiment Design for AC Power Systems Admittance Estimation—0
Optimal experiment design for practical parameter identifiability and model discrimination—0
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