Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
Abstract The coronavirus disease 2019 (COVID-19) pandemic has been severely impacting
global society since December 2019. The related findings such as vaccine and drug …
global society since December 2019. The related findings such as vaccine and drug …
Multi-attribute overlapping radar working pattern recognition based on K-NN and SVM-BP
Y Liao, X Chen - The Journal of Supercomputing, 2021 - Springer
A recognition model named the SVM-NP is proposed in this paper to address the multi-
attribute overlap in radar working recognition. The model is based on the K-NN boundary …
attribute overlap in radar working recognition. The model is based on the K-NN boundary …
Is metadata of articles about COVID-19 enough for multilabel topic classification task?
The ever-increasing volume of COVID-19-related articles presents a significant challenge for
the manual curation and multilabel topic classification of LitCovid. For this purpose, a novel …
the manual curation and multilabel topic classification of LitCovid. For this purpose, a novel …
An Adaptive INS/CNS/SMN Integrated Navigation Algorithm in Sea Area
Z Tian, Y Cheng, S Yao, Z Li - Remote Sensing, 2024 - mdpi.com
In this paper, we present an innovative inertial navigation system (INS)/celestial navigation
system (CNS)/scene-matching navigation (SMN) adaptive integrated navigation algorithm …
system (CNS)/scene-matching navigation (SMN) adaptive integrated navigation algorithm …
An improved Author-Topic (AT) model with authorship credit allocation schemes
Authorship credit allocation schemes have attracted considerable research attention.
However, no consensus about which one is the best has been attained until now, and …
However, no consensus about which one is the best has been attained until now, and …
Performance evaluation of seven multi-label classification methods on real-world patent and publication datasets
Purpose Many science, technology and innovation (STI) resources are attached with several
different labels. To assign automatically the resulting labels to an interested instance, many …
different labels. To assign automatically the resulting labels to an interested instance, many …
Ensembled Feature based Multi-Label ECG Arrhythmia Classification
Arrhythmia is one of the major contributors to sudden cardiac death. Compared to single-
label arrhythmia classification, multi-label classification provides the advantage of …
label arrhythmia classification, multi-label classification provides the advantage of …
[PDF][PDF] Sparse coded spatial pyramid matching and multi-kernel integrated SVM for non-linear scene classification
Support vector machine (SVM) techniques and deep learning have been prevalent in object
classification for many years. However, deep learning is computation-intensive and can …
classification for many years. However, deep learning is computation-intensive and can …
An author interest discovery model armed with authorship credit allocation scheme
The author interest discovery can help personalized academic recommendation systems.
However, many topic models for discovering author interest implicitly assume equal …
However, many topic models for discovering author interest implicitly assume equal …
A Comparative Study on Three Multi-Label Classification Tools
Many science, technology and innovation (STI) resources are attached with several different
labels, such as IPC and CPC for patents, and PACS (Physics and Astronomy Classification …
labels, such as IPC and CPC for patents, and PACS (Physics and Astronomy Classification …