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 repository contains a refactoring of the code used in the paper "Learning Latent Graph Structures and Their Uncertainty" (ICML 2025). The code is designed to be modular and easy to use, allowing ...

Abstract: A methodology for creating self-learning tutorials, including tutorials that use screencast technology, is described in this recommended practice. Methods and practices that are applicable ...

Purpose: We developed a machine learning framework to predict the presence of tertiary lymphoid structures (TLSs) within tumors in patients with hepatocellular carcinoma (HCC). This framework uses ...

Trimble introduced the 2025 version of Tekla Structures, its structural building information modeling (BIM) software. The new version introduces AI-enabled tools to improve productivity and more ...

Greek dramas, the heart of ancient theater, have long been hailed for their sophisticated structures, profound philosophical insights, and emotional depth. They were crafted to not only entertain but ...

Ready to glide on the ice like a pro? This beginner-friendly tutorial breaks down ice skating into three simple steps, helping you gain confidence and balance in no time! Perfect for first-time ...

After receiving his degree in Journalism & Media Communications from CSU in 2019, Erik began building his career in online media, and found his dream job when he joined Game Rant as a staff writer.

Graph generation is an important task across various fields, including molecular design and social network analysis, due to its ability to model complex relationships and structured data. Despite ...

Introduction: Recent advances in 3D structure-based deep learning approaches demonstrate improved accuracy in predicting protein-ligand binding affinity in drug discovery. These methods complement ...

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...