Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.

Looking at AI-generated art shows that machines may never truly understand the human mind, because there are states of mind ...

ML.NET is a cross-platform open-source machine learning (ML) framework for .NET ... With ML.NET, you can train models for a variety of scenarios, like classification, forecasting, and anomaly ...

Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS. This repository contains an easy and intuitive approach to few-shot NER using most similar ...

To address these challenges, we propose a mixed CNN-transformer network for Mars HSI classification with graph contrastive learning to enhance classification performance. Specifically, we introduce an ...

The University of California, Santa Barbara is a leading research institution that also provides a comprehensive liberal arts learning experience. Our academic community of faculty, students, and ...