While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

The prediction of long-term outcomes in ischemic stroke patients may be useful in treatment decisions. Machine learning techniques are being increasingly adapted for use in the medical field because ...

Finally, in order to improve performance even further, we use deep learning to fine-tune the hyperparameters, particularly our proposed weight-tuning one. We perform some experiments on real-world ...

The new research, published in the Journal of Machine Learning Research, takes an innovative “axiomatic approach” to defining ...

Current care in multiple sclerosis (MS) primarily relies on infrequently obtained data such as magnetic resonance imaging, clinical laboratory tests or clinical history, resulting in subtle changes ...

The AI tool used machine learning to outperform current weather simulations, offering faster, cheaper, more accurate forecasts.

What is this book about? Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that ...

One common misstep: assuming bigger models and better benchmarks translate to a better user experience. Accuracy may not be enough. If a system is slow or resistant to correction, it alienates users.

How can artificial intelligence (AI) be used to advance mapping and imaging methods on other planets? This is what a study presented at the 56th Lunar and Planetary Science Conference hopes to ...

Open Molecules 2025, an unprecedented dataset of molecular simulations, has been released to the scientific community, paving ...

data-driven functions enabled by the integration of machine learning (ML) notions across the wireless core and edge infrastructure. In this context, this paper provides a comprehensive tutorial that ...

Researcher Arun Vivek Supramanian explores how big data and machine learning are revolutionizing medical analytics, improving diagnosis accuracy, treatment personalization, and operational efficiency.