IEEE

Multi-label Classification of News Topics Based on Universal Sentence Encoder

Abstract: News topic classification is a topic division of news based on the title or content of the news. Correct news topic classification can improve the efficiency of information retrieval and ...
IEEE

Multi-Label Classification of Complex Power Quality Disturbances via Label-Semantics Fusion and Transformer Encoder

Abstract: The increasing penetration of renewable energy sources and the widespread use of power electronic devices have introduced complex power quality disturbances (PQDs), which are essentially ...
Frontiers

Net2Brain: a toolbox to compare artificial vision models with human brain responses

In cognitive neuroscience, the integration of deep neural networks (DNNs) with traditional neuroscientific analyses has significantly advanced our understanding of both biological neural processes and ...
Scientific Research Publishing

Scikit-Learn User Guide, Release 0.18.2 (2017).

ABSTRACT: Possible changes in the structure and seasonal variability of the subtropical ridge may lead to changes in the rainfall’s variability modes over Caribbean region. This generates additional ...
ascopubs.org

Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning

This diagnostic study recruited 67 patients with I-III GEJ adenocarcinoma from the multicentric nonrandomized MEMORI trial including three German university hospitals TUM (University Hospital Rechts ...