Abstract: This paper proposes a multi-label text classification algorithm based on causal relationships to address the current challenge of accurately capturing label correlations in multi-label text ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Abstract: Multi-label text classification (MLTC) presents significant challenges due to the need for accurate document representations and the effective modeling of complex label dependencies.

Introduction: Colorectal cancer is the third most common cancer worldwide, and accurate pathological diagnosis is crucial for clinical intervention and prognosis assessment. Although deep learning has ...

A widespread text message phishing campaign impersonating Department of Motor Vehicles (DMV) communications has emerged across multiple U.S. states, prompting officials to issue public advisories. The ...

In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have ...