How two Chinese women turned their Ph.D. theses into machine learning that makes connections between seemingly unrelated ...

In the evolving world of machine learning (ML), the phenomenon of data and concept drift presents both challenges and ...

How the brain feels about the world around it is the subject of a new paper published in Proceedings of the National Academy ...

Thanks to its capacity to detect patterns and stay consistent, machine learning is a great tool for CNS behaviour studies.

Khatun, N. (2025) Evaluations of Machine Learning Algorithms Using Simulation Study. Open Journal of Statistics, 15, 41-52.

Researchers used machine learning models to predict preterm birth risk, identifying linear SVMs as the most accurate, with ...

Machine learning (ML) is one of the most exciting fields in technology today, with applications in everything from ...

Advanced Machine Learning Models for Gender-Specific Antidepressant Response Prediction: Overcoming Data Imbalance for Precision Psychiatry Depressive disorders are complex, multifactorial conditions ...

Glaucoma is characterised by progressive vision loss due to retinal ganglion cell deterioration, leading to gradual visual field (VF) impairment. The standard VF test may be impractical in some cases, ...

Is ML Useful In Integration? You may (still) be wondering whether any of this stuff is actually useful in real-world ...

For the Preeclampsia Integrated Estimate of RiSk (PIERS) Machine Learning (PIERS-ML) model and the logistic regress ...

Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...