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Experimental Design

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Showing 251–275 of 688 papers

TitleStatusHype
Asking an AI for salary negotiation advice is a matter of concern: Controlled experimental perturbation of ChatGPT for protected and non-protected group discrimination on a contextual task with no clear ground truth answers—0
A modeling approach to design a software sensor and analyze agronomical features - Application to sap flow and grape quality relationship—0
Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics—0
Effect of Imbalanced Datasets on Security of Industrial IoT Using Machine Learning—0
SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference—0
Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading—0
Decoding Digital Influence: The Role of Social Media Behavior in Scientific Stratification Through Logistic Attribution Method—0
A simple DNN regression for the chemical composition in essential oil—0
Data Representativity for Machine Learning and AI Systems—0
Data-driven peakon and periodic peakon travelling wave solutions of some nonlinear dispersive equations via deep learning—0
A scalable multi-step least squares method for network identification with unknown disturbance topology—0
Data-Driven Design for Fourier Ptychographic Microscopy—0
DAVED: Data Acquisition via Experimental Design for Data Markets—0
A Scalable Gradient-Free Method for Bayesian Experimental Design with Implicit Models—0
A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers—0
Active Learning with Safety Constraints—0
Covariance Function Pre-Training with m-Kernels for Accelerated Bayesian Optimisation—0
Artificial Intelligence for reverse engineering: application to detergents using Raman spectroscopy—0
Coupled differentiation and division of embryonic stem cells inferred from clonal snapshots—0
Artificial Intelligence and Statistics—0
SciOps: Achieving Productivity and Reliability in Data-Intensive Research—0
Counterfactual inference for sequential experiments—0
Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction—0
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation—0
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness—0
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