A stealthy Python-based backdoor framework capable of long-term surveillance and credential theft has been identified ...

Python has become the go-to language for data analysis, offering powerful libraries for cleaning, exploring, visualizing, and modeling data. From quick exploratory checks to complex predictive ...

Abstract: Outlier detection is an effective technique for identifying abnormal samples in complex data. Random walks effectively detect outliers by analyzing graph transition patterns. However, ...

We ventured into dangerous waters for some underwater metal detecting, but what we didn’t expect was to be surrounded by crocodiles and a massive python. This video takes you into the wild, where we ...

We propose a framework that combines a complex network approach with visibility graph algorithms. First, a comprehensive financial stress index (FSI) for China is constructed by integrating ...

Walkthroughs, tutorials, guides, and tips. This story will teach you how to do something new or how to do something better. Change point detection is a helpful tool that spots moments when data, such ...

PyOD is a comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. This exciting yet challenging field is commonly referred as Outlier Detection or Anomaly ...

Earnings announcements are one of the few scheduled events that consistently move markets. Prices react not just to the reported numbers, but to how those numbers compare with expectations. A small ...

Abstract: Most existing outlier detection methods rely on a single and fine-grained data representation, making them vulnerable to noise and inefficient in capturing local anomalies. Granular-ball ...