From Text To Tables: Why Structured Data Is AI’s Next $600B Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
Frontiers

Machine learning-driven prediction of intratumoral tertiary lymphoid structures in hepatocellular carcinoma using contrast-enhanced CT imaging and integrated clinical data

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 ...
IEEE

Structure Learning of Deep Gaussian and Non-Gaussian Information Fusion Framework for Automated Predictive Data Analytics

Abstract: To combine the strengths of Gaussian and non-Gaussian latent variable models, a novel information fusion strategy has recently been proposed under the deep learning framework. Although ...
GitHub

Data Structures and Algorithms Repository

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...
IEEE

Learning Graph Structures With Autoregressive Graph Signal Models

Abstract: This paper presents a novel approach to graph learning, GL-AR, which leverages estimated autoregressive coefficients to recover undirected graph structures from time-series graph signals ...
Frontiers

A deep learning-based data augmentation method for marine mammal call signals

1 School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, China 2 Shandong Key Laboratory of Deep Sea Equipment Intelligent Networking, Qingdao, Shandong, ...
AOL

CFP for Dummies plan: What college football can learn from March Madness blueprint

They’re making this more difficult than it is, which falls in line of late with just about all things college football. So while we soak in the majesty of the three-week event that is March Madness, ...