Technologies have driven big data collection across many fields, such as genomics and business intelligence. This results in a significant increase in variables and data points …
Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with machine learning systems demonstrating superhuman performance in a significant …
HL Quittkat, AS Hartmann, R Düsing… - Frontiers in …, 2019 - frontiersin.org
Body image disturbance is associated with several mental disorders. Previous research on body image has focused mostly on women, largely neglecting body image in men …
S Hess, D Palma - Journal of choice modelling, 2019 - Elsevier
The community of choice modellers has expanded substantially over recent years, covering many disciplines and encompassing users with very different levels of econometric and …
Tabular data underpins numerous high-impact applications of machine learning from fraud detection to genomics and healthcare. Classical approaches to solving tabular problems …
Abstract In Fused Deposition Modeling (FDM) three-dimensional (3D) printing the printed part is greatly affected by the process parameters, therefore the parameters have to select …
Dose-response analysis can be carried out using multi-purpose commercial statistical software, but except for a few special cases the analysis easily becomes cumbersome as …
El coeficiente de correlación de Pearson es una medida considerablemente utilizada en diversas áreas del quehacer científico, desde estudios técnicos, econométricos o de …