JSTOR Daily

COVARIANCE-ENGAGED CLASSIFICATION OF SETS VIA LINEAR PROGRAMMING

Set classification aims to classify a set of observations as a whole, as opposed to classifying individual observations separately. To formally understand the unfamiliar concept of binary set ...
Nature

Genetic Programming for Image Classification and Feature Extraction

Genetic programming (GP) has emerged as a potent evolutionary methodology for autonomously designing image classifiers and extracting relevant features. Its capacity to evolve interpretable models by ...
ascopubs.org

Machine learning–based classification of cancer types using genomic profiling data from the Australian Molecular Screening and Therapeutics (MoST) program.

Early detection of lung cancer in smokers using miRNA profiles and a hybrid deep learning framework. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...
CCJ

A program that streamlines the movement of goods, a freight classification tool and more

00:00 In this week’s CCJ Tech Shorts, we’ll take a look at a new program that optimizes freight operations, a data-driven predictive maintenance platform, a freight classification tool and an ...