IEEE

A Federated Learning-Based Data Augmentation Method for Privacy Preservation Under Heterogeneous Data

Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...
Communications of the ACM

Beyond the Pipeline: A Gender Lens on Priorities and Exit Triggers in the High-Tech Industry

Among early- and mid-career computer science graduates, men are more likely than women to report no intentions to leave their ...
GitHub

Orange Data Mining – Advanced Visual Data Analysis Platform

What is Orange Data Mining? Orange data mining software serves as a comprehensive platform for data visualization and machine learning. Professionals utilize this orange data mining tool to create ...
WDIO

Women in Mining lunch gives ladies in the industry a chance to learn from one another

Another successful Women in Mining luncheon is on the books. Over 130 ladies signed up for the event on Monday at the Minnesota Discovery Center. And there were a couple of guys, too. This is the 4th ...
GitHub

PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.

🔍 PDF parser for AI data extraction — Extract Markdown, JSON (with bounding boxes), and HTML from any PDF. #1 in benchmarks (0.907 overall). Deterministic local mode + AI hybrid mode for complex ...
IEEE

Weighted Contrastive Learning With Hard Negative Mining for Positive and Unlabeled Learning

Abstract: Positive and unlabeled (PU) learning aims to train a suitable classifier simply based on a set of positive data and unlabeled data. The state-of-the-art methods usually formulate PU learning ...