Abstract: Anomaly detection is an important data-mining task closely related to specific applications. In recent years, spatio-temporal data deriving from various networks has been collected from many ...

A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference ...

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are ...

Abstract: To mitigate the impact of the halo effect on target detection in backgrounds of strong light, we propose a dim and small target detection algorithm based on spatio-temporal jitter estimation ...

Outlier, an AI company, is looking for expert freelancers to help train AI models, and offers a wide variety of roles, depending on your experience. As part of its mission to develop the ‘world ...

As AI models get more complex, so do the tasks carried out by humans to train them. It’s given $14 billion Scale AI a new focus on U.S.-based labor. Inhis day job, Scott O’Neil’s most recent ...

However, as the technology behind deepfakes has advanced, so too have the tools and techniques designed to detect them. In this blog, we will explore the top five deepfake detection tools and ...

Also: OpenAI pulls its own AI detection tool because it was performing so poorly As such, the plagiarism checkers mentioned above probably won't work because the AI-generated content probably ...