Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

For each league, the application computes several statistics (features) about the teams, including their form, the performance of the last N matches, etc. The stats are computed for both the home team ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Statisticians from across Europe teamed up to train a competition-predicting, machine learning algorithm. This is what they found.

Abstract: By examining patterns in the text data and metadata linked to job adverts, The use of learning algorithms has grown in popularity in the detection of fraudulent job postings. For this, ...

The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...

Catalina Solorsano, a Klamath Falls mother of two, has crisscrossed southern Oregon and Northern California working in the heat and rain to lessen the risk of megafires. On Monday, she and eight other ...

One of the key issues faced by financial institutions is the prediction of loan default. Two machine learning methods, Random Forest and K-Nearest Neighbors (KNN), are tested in this study, using an ...

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