Cybersecurity roundup: supply chain threats, AI agent risks, browser-cloning malware, mule networks, endpoint bypasses, and ...

Abstract: In this paper, we propose Tree-structured Expectation Propagation (TEP) algorithm to decode finite-length Low-Density Parity-Check (LDPC) codes. The TEP decoder is able to continue decoding ...

Abstract: It has been shown that non-binary LDPC codes have a better error correction performance than binary codes for short block lengths. However, this advantage ...

Physical frailty is a pressing public health issue that significantly increases the risk of disability, hospitalization, and mortality. Early and accurate detection of frailty is essential for timely ...

Embarking on a journey to master Data Structures and Algorithms (DSA) is a crucial step for any aspiring software developer. This guide outlines a 100-day plan to help you build a strong foundation in ...

Important: All the scripts provided are intended for cybersecurity research and training purposes only. Do not use them to attack real-world systems. Deserialization is the process of converting data ...

Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...

With major code and visualization clean up contributions done by Matthew Epland (@mepland). To interopt with these different libraries, dtreeviz uses an adaptor object, obtained from function dtreeviz ...

There are several tools and code libraries that you can use to perform binary classification using a decision tree. The scikit-learn library (also called scikit or sklearn) is based on the Python ...

Classification approaches that allow to extract logical rules such as decision trees are often considered to be more interpretable than neural networks. Also, logical rules are comparatively easy to ...