Retraction

A taxonomy on impact of label noise and feature noise using machine learning techniques

Paper Information

Citations (24)

24
Total Citations
5
Post-Retraction
(20.8%)
19
Pre-Retraction
0
Same Day
Post-Retraction Citation Analysis
0 Within 30 days
5 Within 1 year
0 After 2+ years
218 Days since retraction (latest)
Prevention of Data Poisonous Threats on Machine Learning Models in e-Health
Etidal Alruwaili, Tarek Moulahi
ACM Transactions on Computing for Healthcare
Published: Apr 2025
218 days after retraction
Finding Potentially Erroneous Entries in METLIN SMRT
Mikhail Khrisanfov, Dmitriy D. Matyushin, А. С. Самохин
Journal of Chromatography A
Published: Feb 2025
164 days after retraction
The ethical dimensions of utilizing Artificial Intelligence in palliative care
Oonjee Oh, George Demiris, Connie M. Ulrich
Nursing Ethics
Published: Nov 2024
5 citations
80 days after retraction
Paper citing A taxonomy on impact of label noise and feature no...
Unknown Authors
Unknown Journal
Published: Oct 2024
61 days after retraction
Paper citing A taxonomy on impact of label noise and feature no...
Unknown Authors
Unknown Journal
Published: Oct 2024
46 days after retraction
Physical frailty identification using machine learning to explore the 5-item FRAIL scale, Cardiovascular Health Study index, and Study of Osteoporotic Fractures index
Chen‐Cheng Yang, Po‐Hung Chen, Cheng-Hong Yang et al. (8 authors)
Frontiers in Public Health Open Access
Published: May 2024
2 citations
112 days before retraction
A general procedure for finding potentially erroneous entries in the database of retention indices
Mikhail Khrisanfov, Dmitriy D. Matyushin, А. С. Самохин
Analytica Chimica Acta
Published: Feb 2024
6 citations
194 days before retraction
Quantifying the impact of uninformative features on the performance of supervised classification and dimensionality reduction algorithms
Weihua Lei, Cleber Zanchettin, Zoey E. Ho et al. (4 authors)
APL Machine Learning Open Access
Published: Dec 2023
1 citation
272 days before retraction
An Evaluation of Feature Selection Robustness on Class Noisy Data
Simone Pau, Alessandra Perniciano, Barbara Pes et al. (4 authors)
Information Open Access
Published: Aug 2023
2 citations
392 days before retraction
Defending the Defender: Adversarial Learning Based Defending Strategy for Learning Based Security Methods in Cyber-Physical Systems (CPS)
Zakir Ahmad Sheikh, Yashwant Singh, Pradeep Kumar Singh et al. (4 authors)
Sensors Open Access
Published: Jun 2023
5 citations
447 days before retraction
Statistical Analysis—Measurement Error
Timo B. Brakenhoff, Maarten van Smeden, Daniel L. Oberski
Springer eBooks
Published: Jan 2023
9 citations
606 days before retraction
A Progressive Deep Neural Network Training Method for Image Classification with Noisy Labels
Xuguo Yan, Xuhui Xia, Lei Wang et al. (4 authors)
Applied Sciences Open Access
Published: Dec 2022
626 days before retraction
On developing deep learning models with particle swarm optimization in the presence of poisoning attacks
Majdi Maabreh, Omar Darwish, Ola Karajeh et al. (4 authors)
2022 International Arab Conference on Information Technology (ACIT)
Published: Nov 2022
3 citations
646 days before retraction
Noise Models in Classification: Unified Nomenclature, Extended Taxonomy and Pragmatic Categorization
José A. Sáez
Mathematics Open Access
Published: Oct 2022
9 citations
688 days before retraction
The robustness of popular multiclass machine learning models against poisoning attacks: Lessons and insights
Majdi Maabreh, Arwa Maabreh, Basheer Qolomany et al. (4 authors)
International Journal of Distributed Sensor Networks
Published: Jul 2022
3 citations
790 days before retraction
On the Suitability of Bagging-Based Ensembles with Borderline Label Noise
José A. Sáez, José L. Romero‐Béjar
Mathematics Open Access
Published: Jun 2022
4 citations
820 days before retraction
The use patterns of novel psychedelics: experiential fingerprints of substituted phenethylamines, tryptamines and lysergamides
Pablo Mallaroni, Natasha L. Mason, Frederick Vinckenbosch et al. (4 authors)
Psychopharmacology Open Access
Published: Apr 2022
11 citations
852 days before retraction
Resilient Biomedical Systems Design Under Noise Using Logic-Based Machine Learning
Tousif Rahman, Rishad Shafik, Ole‐Christoffer Granmo et al. (4 authors)
Frontiers in Control Engineering Open Access
Published: Apr 2022
5 citations
874 days before retraction
Mislabeled Samples Adjustment Based on Self-paced Learning Framework
Zhongtao Huang, Xiaojuan Li, Lingzhu Deng et al. (5 authors)
2021 7th International Conference on Computer and Communications (ICCC)
Published: Dec 2021
1 citation
993 days before retraction
Data sanitization against label flipping attacks using AdaBoost-based semi-supervised learning technology
Ning Cheng, Hongpo Zhang, Zhanbo Li
Soft Computing
Published: Oct 2021
10 citations
1046 days before retraction
An empirical study toward dealing with noise and class imbalance issues in software defect prediction
Sushant Kumar Pandey, Anil Kumar Tripathi
Soft Computing Open Access
Published: Aug 2021
32 citations
1112 days before retraction
A Combined Approach For Collaborative Filtering Based Recommender Systems with Matrix Factorisation and Outlier Detection
P. Venil, G. Arul Freeda Vinodhini, K. Suresh Joseph
Journal of Business Analytics Open Access
Published: Jul 2021
3 citations
1153 days before retraction
Label flipping attacks against Naive Bayes on spam filtering systems
Hongpo Zhang, Ning Cheng, Yang Zhang et al. (4 authors)
Applied Intelligence
Published: Jan 2021
44 citations
1333 days before retraction
Improving prediction of water main failures using statistical and machine learning algorithms
Eric Vaags
Unknown Journal
Published: Jan 2021
1 citation
1336 days before retraction
Quick Stats
Total Citations: 24
Years Since Retraction: 1.2 year
Open Access: Yes
Last Checked: Jul 24, 2025