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Experimental Design

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Showing 101–150 of 688 papers

TitleStatusHype
Artificial Intelligence and Statistics—0
Artificial Intelligence for reverse engineering: application to detergents using Raman spectroscopy—0
Active learning of digenic functions with boolean matrix logic programming—0
A scalable multi-step least squares method for network identification with unknown disturbance topology—0
A simple DNN regression for the chemical composition in essential oil—0
SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference—0
Causal Message Passing for Experiments with Unknown and General Network Interference—0
A CRISP approach to QSP: XAI enabling fit-for-purpose models—0
Amortised Design Optimization for Item Response Theory—0
Assessment of Faster R-CNN in Man-Machine collaborative search—0
Assessment of Sports Concussion in Female Athletes: A Role for Neuroinformatics?—0
A suite of LMs comprehend puzzle statements as well as humans—0
Asymptotic Causal Inference—0
A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology—0
Attacking Perceptual Similarity Metrics—0
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery—0
A pretest-posttest pilot study for augmented reality-based physical-cognitive training in community-dwelling older adults at risk of mild cognitive impairment—0
A Two-Ball Ellsberg Paradox: An Experiment—0
Auditory distraction in open-plan office environments: The effect of multi-talker acoustics—0
A multifactorial evaluation framework for gene regulatory network reconstruction—0
A Practical & Unified Notation for Information-Theoretic Quantities in ML—0
Automated Social Science: Language Models as Scientist and Subjects—0
Automatic evaluation of herding behavior in towed fishing gear using end-to-end training of CNN and attention-based networks—0
Automatic Event Detection for Signal-based Surveillance—0
All the single cells: single-cell transcriptomics/epigenomics experimental design and analysis considerations for glial biologists—0
AutoOED: Automated Optimal Experimental Design Platform with Data- and Time-Efficient Multi-Objective Optimization—0
Approximations for Optimal Experimental Design in Power System Parameter Estimation—0
Active Learning of Continuous-time Bayesian Networks through Interventions—0
Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-4—0
Approximate Supermodularity Bounds for Experimental Design—0
Approximation Algorithms for D-optimal Design—0
Active Learning for Saddle Point Calculation—0
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC—0
Applied Computer Vision on 2-Dimensional Lung X-Ray Images for Assisted Medical Diagnosis of Pneumonia—0
eGAD! double descent is explained by Generalized Aliasing Decomposition—0
3D-Printing for Analytical Ultracentrifugation—0
Can LLMs Understand Social Norms in Autonomous Driving Games?—0
Application of Graph Neural Networks and graph descriptors for graph classification—0
A hypothesis-driven method based on machine learning for neuroimaging data analysis—0
An Optimal Treatment Assignment Strategy to Evaluate Demand Response Effect—0
A Birds-eye (Re)View of Acid-suppression Drugs, COVID-19, and the Highly Variable Literature—0
An Optimal Experimental Design Approach for Light Configurations in Photometric Stereo—0
An introduction to linear stability analysis for deciphering spatial patterns in signaling networks—0
A Hybrid Gradient Method to Designing Bayesian Experiments for Implicit Models—0
An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper—0
Neurodivergent Influenceability as a Contingent Solution to the AI Alignment Problem—0
Active Learning-Based Optimization of Scientific Experimental Design—0
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes—0
Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis—0
An information-matching approach to optimal experimental design and active learning—0
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