Optimizing RNA design with AI and an Ising machine: Encoding matters

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
IEEE

Semantic Encoding Supervises LiDAR Semantic Segmentation

Abstract: Semantic segmentation using LiDAR is a fundamental aspect in perception for autonomous driving. Conventional training methodologies commonly employ one-hot encoding for labels, followed by a ...
Frontiers

Demonstrating Quality Control (QC) Procedures in fMRI

Quality control (QC) has long been an important part of FMRI processing, but it is typically underreported and too often underappreciated, whether for small or large, public or local datasets. This ...
Hacker

The Concept Behind "Mean Target Encoding" in AI & ML

Categorical Encoding - Undoubtedly, is an integral part of data pre-processing in machine learning. Although the most common categorical encoding techniques are Label and One-Hot encoding, there are a ...
C&EN

Plasmonic Physical Unclonable Function Labels Based on Tricolored Silver Nanoparticles: Implications for Anticounterfeiting Applications

College of Chemistry, Fujian Provincial Key Laboratory of Advanced Inorganic Oxygenated Materials, Fuzhou University, Fuzhou 350116, P. R. China Fujian Science & Technology Innovation Laboratory for ...
IEEE

Travel Mode Choice Prediction Using Deep Neural Networks With Entity Embeddings

Abstract: The prediction of travel mode preference, like many other choice prediction problems, may depend on categorical features of the choice options or the choice makers. Such categorical features ...