Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm ... Existing algorithms, such as XGBoost, work well with large data sets, but are often ...

The models were especially effective when trained on data encompassing all emotional expressions rather than a limited subset ...

The following is a summary of “Application of interpretable machine learning algorithm to predict lymph node metastasis in cutaneous malignant melanoma,” published in the April 2025 issue of ...

A study published last week used a wave flume to evaluate the effects of waves on small-diameter pipelines. The experimental ...

Swiss researchers use DXA data and machine learning to predict fracture risk in women, with logistic regression delivering ...

A machine learning model using treated astigmatism and other nuanced inputs can significantly improve the accuracy and personalization of arcuate keratotomy planning ...