Abstract: Cancer is a pressing public health problem and one of the main causes of mortality worldwide. The development of advanced computational methods for predicting cancer survival is pivotal in ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Skrapper allows you to extract data from websites efficiently, automate web scraping tasks, and process information into usable formats for analysis. Skrapper is a powerful web scraping tool designed ...
Trauma-informed approaches can promote the creation of systems that prioritize safety and empowerment to improve patient well-being. These approaches are especially important in sexual and ...
An intelligent MCP (Model Context Protocol) server that extracts placeholders from PowerPoint templates, uses LLM to extract matching data from PDF documents, and generates filled presentations with ...
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