GitHub - vidhig/stock-closing-price-prediction-bayesian-analysis: Using mean filed approximation techniques on time series analysis forecast the closing price of Amazon's stocks.
![A generalized deep learning framework for whole-slide image segmentation and analysis | Scientific Reports A generalized deep learning framework for whole-slide image segmentation and analysis | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-021-90444-8/MediaObjects/41598_2021_90444_Fig1_HTML.png)
A generalized deep learning framework for whole-slide image segmentation and analysis | Scientific Reports
GitHub - jorgearanda/kappa-stats: A little Python script to generate Cohen's Kappa and Weighted Kappa measures for inter-rater reliability
![PDF) Método de concordancia bayesiana y su aplicación en problemas de clasificación multiclase con categorías desequilibradas PDF) Método de concordancia bayesiana y su aplicación en problemas de clasificación multiclase con categorías desequilibradas](https://i1.rgstatic.net/publication/364409281_Metodo_de_concordancia_bayesiana_y_su_aplicacion_en_problemas_de_clasificacion_multiclase_con_categorias_desequilibradas/links/6353de446e0d367d91b701b6/largepreview.png)
PDF) Método de concordancia bayesiana y su aplicación en problemas de clasificación multiclase con categorías desequilibradas
![How can I determine what values of alpha and kappa to use for Bayesian Optimization? - Cross Validated How can I determine what values of alpha and kappa to use for Bayesian Optimization? - Cross Validated](https://i.stack.imgur.com/keny0.png)
How can I determine what values of alpha and kappa to use for Bayesian Optimization? - Cross Validated
![Bayesian log-normal deconvolution for enhanced in silico microdissection of bulk gene expression data | Nature Communications Bayesian log-normal deconvolution for enhanced in silico microdissection of bulk gene expression data | Nature Communications](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-021-26328-2/MediaObjects/41467_2021_26328_Fig1_HTML.png)
Bayesian log-normal deconvolution for enhanced in silico microdissection of bulk gene expression data | Nature Communications
![Rapid parameter estimation for selective inversion recovery myelin imaging using an open-source Julia toolkit [PeerJ] Rapid parameter estimation for selective inversion recovery myelin imaging using an open-source Julia toolkit [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2022/13043/1/fig-2-full.png)