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 ...

One of the most popular Pokémon of all time just set another all-time high sale, this time for a relatively new set. Ascended Heroes is one of the newest sets in the Pokémon TCG, having just been ...

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 ...

Feature selection (FS) for multi-label text classification faces issues such as high dimensionality, strong label correlations, and sparse features, which often lead to suboptimal feature subsets.

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 ...

Multi-label text classification is a critical task in natural language processing, in which each document may belong to multiple categories. This setting is challenging, as it involves complex label ...

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.

At its core, the architecture uses token-level representations to capture the overall meaning of words and sentences, while character-level embeddings are employed to detect fine-grained patterns like ...

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) ...