Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data

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Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation

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"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts

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Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data

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Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation

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"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts

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Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data

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Enhancing sentiment classification on small datasets through data augmentation and transfer learning

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Small Area with Multiply Imputed Survey Data

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Creating Order from Disorder in Health Data and Health Information Systems. A problematic of invisibility of the ‘truth makers’

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Multidimensional poverty: Methodology and calculations on Russian data

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Contributions to Biodiversity Data in the Global South: Digitization Progress and Open Data Through SiBBr at the Museu Nacional/UFRJ, Brazil

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Mobile Applications to Conservation Applications: Incentivizing FAIR Principles of Data Management by Providing Users with Flexible Mobile Data Collection Tools

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ParaDigMa: a Python toolbox for extracting Parkinson's disease digital biomarkers from daily life wrist sensor data

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MotilA – A Python pipeline for the analysis of microglial fine process motility in 3D time-lapse multiphoton microscopy data

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pyDARTdiags: A Python package for manipulating observation sequences and calculating observation-space diagnostics for the Data Assimilation Research Testbed (DART)

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MeDUSA: Taming your metabolic datasets using an R-package for data processing of Direct Infusion Untarged Single-cell Analysis

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Contrasting Local and Global Modeling with Machine Learning and Satellite Data: A Case Study Estimating Tree Canopy Height in African Savannas

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UrbanAnts: An R Shiny app for exploring ant diversity data in urban environments

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Landscapes from the bee perspective: an application of SolBeePop to field study data

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