Tag: Machine learning

Researchers in India have developed BiPC-IFS, a few-shot class-incremental learning framework that lets intrusion detection systems learn new cyberattacks from ...

Researchers at Leiden University have developed EDC, a framework that discovers single readable equations defining decision boundaries, rivaling black-box classifiers ...

Researchers have developed an offline-to-online reinforcement learning framework that uses adversarial action perturbations and an adaptive curriculum to make robot ...

Researchers built a machine learning decision support tool that classifies ARFID risk in children from a nine-item parent questionnaire with ...

A team of environmental chemistry researchers outlines a three-pronged roadmap for the discipline, urging stronger mechanistic research, engineering thinking from ...

Researchers have developed an interpretable hierarchical pipeline combining Gaussian filtering, YCbCr-based CLAHE enhancement, K-means nuclei segmentation, and SVM classification that ...

Researchers at UCLA and Cedars-Sinai developed a computer vision AI that classifies laparoscopic peg transfer performance with 84 percent accuracy, ...

A systematic review finds rapid technological progress in forecasting compound heat and air pollution events but a persistent gap between ...

A machine learning radiomics approach that maps internal tumor habitats on venous-phase CT scans accurately distinguishes retroperitoneal dedifferentiated liposarcoma from ...

A landmark special issue of the Journal of Intelligent Information Systems argues that recommender systems must be redesigned to actively ...