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CryoVirusDB: An Annotated Dataset for AI-Based Virus Particle Identification in Cryo-EM Micrographs. [PDF]

Viruses
Gyawali R, Dhakal A, Wang L, Cheng J.
europepmc   +1 more source

Machine Learning Prediction of Pharmacogenetic Testing Uptake Among Opioid-Prescribed Patients Using Electronic Health Records: Retrospective Cohort Study.

JMIR Med Inform
Yaseliani M, Hong JW, Bian J, Cavallari L, Duarte JD, Nelson D, Lo-Ciganic WH, Nguyen KA, Hasan MM.   +8 more
europepmc   +1 more source

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Statistics, Machine Learning, and Data Science: A Historical Review and a Look to the Future

Conference on Research, Innovation and Vision for the Future in Computing & Communication Technologies, 2023
We are witnessing the beginning of a data driven era with the explosion of data, impact of data on our everyday lives, and advances of data processing methodology and technology. At this juncture, data science has emerged as an interdisciplinary field to
Tru Cao
semanticscholar   +1 more source

The Matérn Model: A Journey Through Statistics, Numerical Analysis and Machine Learning

Statistical Science, 2023
The Mat\'ern model has been a cornerstone of spatial statistics for more than half a century. More recently, the Mat\'ern model has been central to disciplines as diverse as numerical analysis, approximation theory, computational statistics, machine ...
E. Porcu, M. Bevilacqua, R. Schaback, C. Oates   +3 more
semanticscholar   +1 more source

Identification of areas prone to flash-flood phenomena using multiple-criteria decision-making, bivariate statistics, machine learning and their ensembles.

Science of the Total Environment, 2020
Taking into account the exponential growth of the number of flash-floods events worldwide, the detection of areas prone to these natural hazards is one of the main activities taken in order to mitigate the negative effects of these risk phenomena. In the
R. Costache, D. Tien Bui
semanticscholar   +1 more source

Machine Learning and Statistics in Clinical Research Articles-Moving Past the False Dichotomy.

JAMA pediatrics, 2023
This Viewpoint describes the false dichotomy between statistics and machine learning and suggests considerations in building and evaluating clinical prediction models.
S. Finlayson, A. Beam, M. van Smeden
semanticscholar   +1 more source

Statistics meets Machine Learning

Oberwolfach Reports, 2021
Theory and application go hand in hand in most areas of statistics. In a world flooded with huge amounts of data waiting to be analyzed, classified and transformed into useful outputs, the designing of fast, robust and stable algorithms has never been as important as it is today. On the other hand, irrespective of whether the focus is put on estimation,
Fadoua Balabdaoui, Lutz Dümbgen, Klaus-Robert Müller, Richard Samworth   +3 more
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Machine‐learning‐enhanced tail end prediction of structural response statistics in earthquake engineering

Earthquake engineering & structural dynamics (Print), 2021
Evaluating the response statistics of nonlinear structures constitutes a key issue in engineering design. Hereby, the Monte Carlo method has proven useful, although the computational cost turns out to be considerably high.
Denny Thaler, M. Stoffel, B. Markert, F. Bamer   +3 more
semanticscholar   +1 more source