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Keyword

mislabeled data

Description: Mislabeled data are observations assigned incorrect class labels or annotations, a problem addressed in machine learning and statistical classification.
OpenAlex ID: keywords/mislabeled-data
Data Poisoning Attacks Against Federated Learning Systems
2020 · Vale Tolpegin, Stacey Truex, et al. · Lecture notes in computer science · 922
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Learning Deep Networks from Noisy Labels with Dropout Regularization
2016 · Ishan Jindal, Matthew Nokleby, et al. · Proceedings · 185
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A noise-detection based AdaBoost algorithm for mislabeled data
2012 · Jingjing Cao, Sam Kwong, et al. · Pattern Recognition · 143
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
2020 · Feldman, Vitaly, Zhang, Chiyuan · arXiv (Cornell University) · 133
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Statistical Methods for Fighting Financial Crimes
2010 · Agus Sudjianto, Sheela Nair, et al. · Technometrics · 101
Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset
2021 · Siyi Tang, Amirata Ghorbani, et al. · Scientific Reports · 88
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Improving Federated Learning With Quality-Aware User Incentive and Auto-Weighted Model Aggregation
2022 · Yongheng Deng, Feng Lyu, et al. · IEEE Transactions on Parallel and Distributed Systems · 74
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels
2021 · Xia, Xiaobo, Liu, Tongliang, et al. · arXiv (Cornell University) · 69
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A federated transfer learning method with low-quality knowledge filtering and dynamic model aggregation for rolling bearing fault diagnosis
2023 · Ran Wang, Fucheng Yan, et al. · Mechanical Systems and Signal Processing · 62
Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance
2020 · Degan Hao, Lei Zhang, et al. · IEEE Journal of Biomedical and Health Informatics · 55
A noise filtering method using neural networks
2003 · Xinchuan Zeng, T. Martinez · 53
Efficient Detection of Environmental Violators: A Big Data Approach
2020 · Xiangyu Chang, Yinghui Huang, et al. · Production and Operations Management · 52
A graph neural network-based data cleaning method to prevent intelligent fault diagnosis from data contamination
2023 · Shuhui Wang, Yaguo Lei, et al. · Engineering Applications of Artificial Intelligence · 38
BoAu: Malicious traffic detection with noise labels based on boundary augmentation
2023 · Qingjun Yuan, Chang Liu, et al. · Computers & Security · 37
A New Fuzzy Set and Nonkernel SVM Approach for Mislabeled Binary Classification With Applications
2017 · Ye Tian, Miao Sun, et al. · IEEE Transactions on Fuzzy Systems · 37
Auto-weighted Robust Federated Learning with Corrupted Data Sources
2022 · Shenghui Li, Edith Ngai, et al. · ACM Transactions on Intelligent Systems and Technology · 34
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An algorithm for correcting mislabeled data
2001 · Xinchuan Zeng, Tony R. Martinez · Intelligent Data Analysis · 34
CA-GNN: A Competence-Aware Graph Neural Network for Semi-Supervised Learning on Streaming Data
2024 · Hang Yu, Jiahao Wen, et al. · IEEE Transactions on Cybernetics · 33
Graph Neural Networks and Structural Information on Ionic Liquids: A Cheminformatics Study on Molecular Physicochemical Property Prediction
2023 · Karol Baran, Adam Kloskowski · The Journal of Physical Chemistry B · 33
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Learning with Noisy Class Labels for Instance Segmentation
2020 · Longrong Yang, Fanman Meng, et al. · Lecture notes in computer science · 31
Wafer Defect Pattern Labeling and Recognition Using Semi-Supervised Learning
2022 · Katherine Shu-Min Li, Xu-Hao Jiang, et al. · IEEE Transactions on Semiconductor Manufacturing · 30
When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection
2023 · Xin-Cheng Wen, Xinchen Wang, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 29
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Contrastive regularization guided label refurbishment for fault diagnosis under label noise
2024 · Jiankang Zhong, Yongjun Yang, et al. · Advanced Engineering Informatics · 28
Robust support vector data description for novelty detection with contaminated data
2020 · Kunzhe Wang, Haibin Lan · Engineering Applications of Artificial Intelligence · 27
An Outlier Map for Support Vector Machine Classification
2016 · Michiel Debruyne · 26
Works count: 312
Citation count: 3,356
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