Research ML has spent a decade learning that stochastic outputs and undocumented environments make findings unverifiable. Enterprise LLM deployments are quietly making the same mistakes — and ...
The package implements 86 variants of the Synthetic Minority Oversampling Technique (SMOTE). Besides the implementations, an easy to use model selection framework is supplied to enable the rapid ...
This repository contains a complete machine learning research pipeline for predicting student dropout in higher education using demographic, enrollment, and early academic performance data (Semesters ...
Correspondence to Dr Alex Griffiths, London School of Economics and Political Science, Centre for Analysis of Risk and Regulation, London WC2A 2AE, UK; a.griffiths{at}lse.ac.uk Background The Care ...
Artificial Intelligence and Anti-Cancer Drugs: Advancing Discovery, Personalization, and Precision Oncology ...
Highlights Research is conducted on students in rehabilitation education, an understudied population. Three groups of vocational interests in rehabilitation education are identified: The ...
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