In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

A joint study has evaluated the usability of a compact EEG device (BrainStatus) developed by Bittium Biosignals from Oulu ...

Artificial intelligence (AI) refers to machine-based systems that analyze input data to generate predictions, recommendations, or decisions, 1 AI-based and machine learning (ML)-based technologies ...

In 60% of studies, tree-based solutions provided the highest statistical predictive performance. Random Forest and Extreme Gradient Boosting (XGBoost) were found to provide the highest performance for ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

According to Kelly’s colleague Tobias Moskowitz, machine-learning methods are helping performance, by making the systematic firm nimbler and faster at incorporating fresh research.

Based on this optimized learning rate, we trained a well-fitted model on the training dataset. We further employed an enumeration method to tailor the CPS intake protocol for each individual. Our ...

Arthur Samuel, an AI pioneer, used reinforcement learning to build one of the first machine learning programs, a system capable of playing checkers, in 1955.