As scientists use machine learning to decode the sounds of whales, dogs, and dolphins, opinions vary on how best to deploy ...

Researchers developed a machine learning model that can evaluate ... data from approximately one-half of the patients to train the model to identify PPD. They then tested the model by asking ...

As AI becomes more central to enterprise security, ignoring adversarial risks is like leaving the back door wide open.

Online chat rooms and social networking platforms frequently experience harmful behavior as discussions drift from their ...

The core problem tackled by this research is the opaque nature of many high-performing AI models used in fraud detection.

Using a newly developed verification framework, researchers have uncovered safety limitations in open-source self-driving ...

This paper investigates the performance of the four supervised machine learning algorithms: logistic regression, support vector machine, decision tree, and random forest on the highly imbalanced ULB ...

Extensive experiments have been conducted on datasets of covid vaccinations dataset and results show that the support vector machine model achieves excellent ... investigates the performance of ...

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