Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...
An AI assistant for high-entropy alloy (HEA) electrocatalysis named ChatHEA provided a helping hand not just to extract data ...
Learn how AI engines use and cite brand information, how to measure both, and why traditional SEO still matters.
Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.
📋 Overview HybridStack is a novel two-stage stacked generalization ensemble framework for accurate and explainable inflation forecasting. It combines the complementary strengths of XGBoost (capturing ...
Abstract: Every word or string of words a user types into a search engine has meaning. For example, a user might search for a “hotel” or a “hotel in New York City.” Keywords are the standard focus of ...
When cross-asset correlations break down, which assets decouple first and which follow — and can we identify systemic stress regimes in real time? An end-to-end data engineering project that ingests ...
Abstract: In unsupervised graph anomaly detection, existing methods usually focus on detecting outliers by learning local context information of nodes, while often ignoring the importance of global ...
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