A modular text classification system that detects misinformation across multiple domains. Each niche has its own dataset, labeling rules, and baseline models (TF-IDF + Logistic Regression / Linear SVM ...

The no-code movement is revolutionizing software development by allowing non-technical users to create applications without coding. Traditionally, software required extensive programming skills and ...

ABSTRACT: A degenerative neurological condition called Parkinson disease (PD) that evolves progressively, making detection difficult. A neurologist requires a clear healthcare history from the ...

When using multinomial logistic regression with warm starts from a previous iteration, the final coefficients in the model are correct, but the intercepts somehow get filled with incorrect numbers ...

A district attorney announced Thursday that Matthew Mire, the suspect in the 2021 multi-parish shooting spree that killed Louisiana State Police Master Trooper Adam Gaubert, will spend the rest of his ...

TMC's investment thesis is built on speculative narratives around deep-sea mining for battery metals in the Clarion-Clipperton Zone. The company faces significant legal and environmental roadblocks, ...

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...

Learn how to classify sleep stages using EEG data with Python, MNE, and Scikit-learn in this step-by-step guide. House GOP fails to pass tax and spending bill after key committee vote Game of Thrones: ...

Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, Faculty of Science and Technology, Beijing Normal University-Hong Kong Baptist University United ...