Breaking Into The Black Box: Unlocking Meta’s Product-Level Ad Data

Brands can challenge Meta’s automation by surfacing product-level trends, aligning them with purchase behavior, and ...
Science Mission Directorate

NASA AI Model That Found 370 Exoplanets Now Digs Into TESS Data

Trained on data from NASA's exoplanet-hunting missions, the open-source ExoMiner++ deep learning model uses an advanced ...

Thousands of Companies Are Driving China’s AI Boom. A Government Registry Tracks Them All

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.
IEEE

AdaBoost-LSTM: A Hybrid Ensemble Framework for Sequential Credit Card Fraud Detection

Abstract: Credit card fraud detection is a critical task in financial systems, requiring effective algorithms to accurately classify transactions as fraudulent or non-fraudulent. This paper proposes a ...
Frontiers

Machine learning prediction of feeding intolerance in preterm infants: a pre-feeding risk stratification model

1 Department of Traditional Chinese Medicine, Capital Center for Children's Health, Capital Medical University, Capital Institute of Pediatrics, Beijing, China 2 Department of Neonatology, Capital ...
Healio

Real-world dermatology dataset reveals flaws of some AI diagnostic algorithms

Please provide your email address to receive an email when new articles are posted on . AI algorithms to diagnose skin cancer had lower sensitivity and specificity when tested on a multimodal, ...
Scientific Research Publishing

A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites ()

The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by security ...
Scientific Research Publishing

Alharbi, A.A. (2024) Classification Performance Analysis of Decision Tree-Based Algorithms with Noisy Class Variable. Discrete Dynamics in Nature and Society, 2024, Article ID ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
Frontiers

ADHD detection from EEG signals using GCN based on multi-domain features

Introduction: Attention deficit hyperactivity disorder (ADHD) is a common psychiatric disorder in children during their early school years. While many researchers have explored automated ADHD ...