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 ...

This work by Stephanie J. Woods on display at the Smithsonian’s National Portrait Gallery is part of a competition that recognizes excellence in portraiture. All the works have labels that identify ...

It used to be easy enough to distinguish between human-made and AI-generated imagery — just two years ago, you couldn’t use image models to create a menu for a Mexican restaurant without inventing new ...

Abstract: Text classification (TC) has gained substantial importance across diverse domains due to the increasing proliferation of internet-based and digital technologies. Organizations worldwide ...

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...

Trade groups say proposed labels are misleading, violate First Amendment Texas law requires new warnings for 44 ingredients deemed unsafe by other countries Dec 8 (Reuters) - Food industry trade ...

The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning.

QUINTESSENTIAL-2: A phase 3 study comparing efficacy and safety of arlocabtagene autoleucel (arlo-cel) versus standard regimens in adult patients with relapsed or refractory multiple myeloma (RRMM) ...