Deep Dive: How to Add Data Intelligence to a Multi-PSP Payment Stack

For the past decade, the global e-commerce and fintech sectors have operated under a singular directive: maximize payment ...
JD Supra

What The EU's New Code Of Practice Means For AI-Generated Content Transparency

A piece of “family silver” often reveals its most important details on the underside. Tucked away on the back, there is often a row of small ...
2UrbanGirls on MSN

10 data collection techniques for NLP & LLM training

NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain p ...
IEEE

Hierarchy-Aware and Knowledge-Guided Learning for Multi-Label Classification of Retinal Diseases From Fundus Images

Abstract: Retinal diseases (RD) are major causes of global vision impairment. Automated diagnosis using fundus images has significant clinical value, particularly in multi-label classification of RD.
IEEE

Learning Compact Semantic Information and Reliable Pseudo-labels for Incomplete Multi-View Multi-Label Classification

Abstract: Multi-view data encompasses various data types, including multi-feature, multi-sequence, and multi-modal data. Multi-view multi-label classification aims to leverage the rich semantic ...
The Lancet

Development and validation of an interpretable machine learning model for non-invasive screening of precancerous gastric lesions using symptom and lifestyle data: a multicentre ...

aInstitute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing, China ...