ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...

Tasks enabled by data contribution estimation (DCE) aid model improvement through data improvement. While benchmark DCE evaluation tasks show application across many ML domains, DCE has limited ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

This is a tutorial on using Machine Learning while trying to predict who is going to win the next FIFA World Cup. We're going to use historical information about international football (soccer) ...

Abstract: Sharing intellectual property (IP) blocks in today's competitive market poses significant high security risks. In this paper, we present a tutorial for a watermarking approach based on the ...

OpenAI will become a preferred intelligence capability for enterprises that collectively run more than 80 billion workflows each year on the ServiceNow platform.