The human brain extracts complex information from visual inputs, including objects, their spatial and semantic interrelations, and their interactions with the environment. However, a quantitative ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

A MATLAB-based domain adaptation toolbox for medical data analysis. It supports synthetic data generation for rapid validation and benchmarking, and includes a collection of popular, lightweight ...

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

Abstract: Machine learning (ML) has emerged as a transformative tool in laser-based optics, driving advancements in both fundamental research and industrial applications. This review paper provides a ...