BIOENGINEER

Reduced-Channel EEG Achieves 92% Seizure Classification Accuracy

A new machine learning framework using reduced-channel EEG and variational mode decomposition achieves 92.16% accuracy in ...
BIOENGINEER

Children referred as victims and alleged offenders for forensic psychiatric evaluation: distinct psychiatric profiles and machine-learning–based classification of post ...

A retrospective study of 420 children in the Turkish forensic psychiatric system revealed distinct clinical profiles between ...

Trying out machine learning using scikit-learn and the Palmer Penguins dataset

IntroductionTo practice and master the machine learning I learned in class, I challenged myself to perform classification ...
The Motley Fool

What Does Classification Mean in Machine Learning?

AI classification sorts data, aiding in tasks like spam detection. Two AI learner types: "lazy" for large, evolving data, "eager" for immediate sorting. In investing, classification helps identify ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
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 ...