IEEE

Automatic EEG Independent Component Classification Using ICLabel in Python

Abstract: ICLabel is an important plug-in function in EEGLAB, the most widely used software for EEG data processing. A powerful approach to automated processing of EEG data involves decomposing the ...
The New York Times

Why the New Cannabis Classification Matters

Moving cannabis to a category of drugs that includes some common medicines will have implications for research, businesses and patients. By Jan Hoffman President Trump on Thursday ordered cannabis to ...
IEEE

Text Classification Techniques: A Holistic Review, Observational Analysis, and Experimental Investigation

Abstract: This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new ...
pulmonologyadvisor

ATS/ERS Issue Interstitial Pneumonia Classification Update

Credit: Getty Images The ATS/ERS 2025 statement on interstitial pneumonia classification, an update of the 2013 statement, reflects new thinking on IP, PPF, molecular pathology, and treatments. The ...
The Daily Hodl

Veles Introduces Enhanced Version of Its Cryptocurrency Backtesting Tools

Veles introduces updated and more accurate strategy testing tools, marking a significant enhancement to its technological ecosystem for traders and algorithmic strategies. The platform has enhanced ...
Hosted on MSN

Sleep Stage Classification with Python: EEG, Scikit-Learn & MNE

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!
Inside Higher Ed

Community College Leaders Ask Carnegie to Pull Its New Classification

Earlier this year, the Carnegie Classification of Institutions of Higher Education came out with a new classification, focused on colleges’ low-income student enrollments and whether their students ...
Morningstar

Option Circle Unveils Next-Gen Backtesting Engine to Turn Market Theory Into Trading Edge

The new integrated toolkit enables traders to historically validate strategies within specific market regimes, a capability once reserved for elite institutions AI-powered backtesting engine brings ...
GitHub

Implementation of "Stockformer: A Price-Volume Factor Stock Selection Model Based on Wavelet Transform and Multi-Task Self-Attention Networks"

This repository is still under development and may contain bugs or incomplete features. It is intended for research purposes and not for production use. StockFormer.py Main model implementation ...
Hosted on MSN

Neural Network python from scratch | MultiClass Classification with Softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
The White House

Fact Sheet: President Donald J. Trump Creates New Classification of Federal Employee to Help Serve the American People

CREATING NEW NON-CAREER, POLICY-ORIENTED EMPLOYEES IN THE FEDERAL GOVERNMENT: Today, President Donald J. Trump signed an Executive Order creating a new classification of non-career federal workers, ...