Retraction
Robust adversarial uncertainty quantification for deep learning fine-tuning
Paper Information
Record ID:
62435
Author(s):
Publication Date:
February 25, 2023
Retraction Date:
May 06, 2024
(1.5 year years ago)
Subjects:
Country:
š³š“ NorwayArticle Type:
Publisher:
Springer - Nature Publishing Group
Open Access:
Yes
PubMed ID:
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Citations (6)
6
Total Citations4
Post-Retraction(66.7%)
1
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
1
Within 30 days
4
Within 1 year
0
After 2+ years
227
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Paper citing Robust adversarial uncertainty quantification for ...
Unknown Authors
Unknown Journal
Published: Dec 2024
227 days after retraction
Uncertaintyāguided UāNet for soil boundary segmentation using Monte Carlo dropout
Xiaofang Zhou, Brian Sheil, Stephen K. Suryasentana et al. (4 authors)
Computer-Aided Civil and Infrastructure Engineering
Published: Dec 2024
1 citation
1 citation
216 days after retraction
RBNN with Cycle-based Parameter Updates and its Application
Siying Wang, Runxia Guo, Chao Huang
Unknown Journal
Published: Dec 2024
214 days after retraction
Improved Vision Transformer with Lion Optimizer for Lung Diseases Detection
İshak PaƧal
Uluslararası muĢhendislik arasĢ§tırma ve gelisĢ§tirme dergisi
Open Access
Published: May 2024
7 citations
7 citations
8 days after retraction
AUQantO: Actionable Uncertainty Quantification Optimization in deep learning architectures for medical image classification
Zakaria Senousy, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
Applied Soft Computing
Open Access
Published: Jul 2023
5 citations
5 citations
286 days before retraction
Quick Stats
Total Citations:
6
Years Since Retraction:
1.5 year
Open Access:
Yes
Last Checked:
Jul 24, 2025