MCTS-4-SR is a C++20 implementation of Monte Carlo Tree Search for symbolic regression, with Python bindings exposed through pybind11. The repository includes the C++ search core, the imcts Python ...

Abstract: Accurate estimation of drought events is vital for the mitigation of their adverse consequences on water resources, agriculture and ecosystems. Machine learning algorithms are promising ...

As antimicrobial resistance threatens to undo a century of medical progress, AMPIdentifier provides researchers with a rigorous computational framework to accelerate the discovery of next-generation ...

Kidney cancer is a highly heterogeneous oncologic disease with historically poor prognosis. Precise assessment of the risk of distal metastasis can facilitate risk stratification and improve prognosis ...

If you’re a machine learning practitioner, you know this scene well. You’ve spent hours wrangling data, engineering the perfect features, and carefully designing your experiment. Everything is ready.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. When applying machine learning (ML) approaches for the prediction of bioactivity, it ...

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...

The cause and mechanism of non-obstructive azoospermia (NOA) is complicated; therefore, an effective therapy strategy is yet to be developed. This study aimed to analyse the pathogenesis of NOA at the ...

Rare earth elements (REEs) are one of the critical global strategic resources. The sharply increasing demand for REEs leads to their overexploitation and environmental pollution. Recycling REEs from ...