The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
Choose your path! This repository prepares you for multiple ML/AI careers. Select your target role to see a customized learning path: Role Focus Est. Time Key Modules ...
A machine learning project to predict loan default risk using financial and credit history data. Built as part of a team capstone project in master degree at Deakin University. BayesCOOP is a scalable ...
In large public multi-site fMRI datasets, the sample characteristics, data acquisition methods, and MRI scanner models vary across sites and datasets. This non-neural variability obscures neural ...
ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
Abstract: Digital pathology, integral to cancer diagnosis, heavily utilizes the analysis of whole slide images (WSIs) to detect cancer cells. Traditionally, WSIs are manually examined—a process that ...
Abstract: The recent development of advanced data analytics and machine learning promoted the introduction of diverse learning techniques designed to alleviate challenges related to two major ...
1 Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh 2 Division of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden ...
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