IEEE

Weakly Supervised Deep Learning for Arabic Tweet Sentiment Analysis on Education Reforms: Leveraging Pre-Trained Models and LLMs With Snorkel

Abstract: This study introduces a novel approach to sentiment classification of Arabic tweets regarding educational reforms in Saudi Arabia. The complexity of the Arabic language, with its numerous ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Analytics Insight

Top 9 Machine Learning Books Every Beginner Should Read in 2026

Machine learning continues to shape AI, automation, and data-driven decision-making. While online courses offer hands-on practice, books provide the deeper understanding needed to master core concepts ...
EurekAlert!

A review of machine learning advances in reliability-based design, integrity assessment, inspection and maintenance of pipelines

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...
GitHub

A high-level machine learning and deep learning library for the PHP language.

Install Rubix ML into your project using Composer: Rubix ML is a free open-source machine learning (ML) library that allows you to build programs that learn from your data using the PHP language. We ...
GitHub

CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection

Most time series anomaly detection models aim to learn normal behavior from unlabelled data, identifying anomalies as deviations from this behavior. However, the lack of labelled data makes it ...
www.cs.cmu.edu

John Wieting

I am a PhD student at Carnegie Mellon University supervised by Taylor Berg-Kirkpatrick and Graham Neubig. I also collaborate with Kevin Gimpel at the Toyota Technological Institute at the University ...
National Bureau of Economic Research

Mining Chinese Historical Sources At Scale: A Machine Learning-Approach to Qing State Capacity

Primary historical sources are often by-passed for secondary sources due to high human costs of accessing and extracting primary information–especially in lower-resource settings. We propose a ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
Nature

Multi-class identification of tonal contrasts in Chokri using supervised machine learning algorithms

This study examines and explores the effectiveness of various Machine Learning Algorithms (MLAs) in identifying intricate tonal contrasts in Chokri (ISO 639-3), an under-documented and endangered ...
Techopedia

Large Language Model (LLM)

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects simply to a non-technical, business audience. Over… The label “large” refers ...