Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce ...

This paper presents feature extraction, feature selection and machine learning-based classification techniques for pollen recognition from images. The number of images is small compared both to the ...

MATLAB implementation for lie detection using EEG signals. It uses wavelet-based feature extraction, Variational Mode Decomposition (VMD), advanced feature selection, and ensemble classifiers to ...

Lim, J.Z., Mountstephens, J. and Teo, J. (2022) Eye-Tracking Feature Extraction for Biometric Machine Learning. Frontiers in Neurorobotics, 15, Article ID 796895.

Keywords: motor control, machine learning, feature selection, pointing, explainable machine learning Citation: Thomas E, Ali FB, Tolambiya A, Chambellant F and Gaveau J (2023) Too much information is ...

This paper presents feature extraction, feature selection and machine learning-based classification techniques for pollen recognition from images. The number of images is small compared both to the ...

In this work, we implement numerical experiments to classify patterns/images by representing the classifiers as matrix product states (MPS). We show how entanglement can interpret machine learning by ...