Classification in the Presence of Label Noise: A Survey

Estimating mutual information for feature selection in the presence of label noise

(2013) Benoît Frénay et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

A high incidence of species substitution and mislabelling detected in meat products sold in South Africa

(2013) Donna-Mareè Cawthorn et al.   FOOD CONTROL

Fuzzy support vector machine based on within-class scatter for classification problems with outliers or noises

(2013) Wenjuan An et al.   NEUROCOMPUTING

Bagging schemes on the presence of class noise in classification

(2012) Joaquín Abellán et al.   EXPERT SYSTEMS WITH APPLICATIONS

Detection of mislabelling in the fresh potato retail market employing microsatellite markers

(2012) Claudia Lopez-Vizcón et al.   FOOD CONTROL

Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decomposition

(2012) José A. Sáez et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Profiling instances in noise reduction

(2012) Sarah Jane Delany et al.   KNOWLEDGE-BASED SYSTEMS

Noise Tolerance Under Risk Minimization

(2012) N. Manwani et al.   IEEE Transactions on Cybernetics

Species misidentification in mixed hake fisheries may lead to overexploitation and population bottlenecks

(2011) Eva Garcia-Vazquez et al.   FISHERIES RESEARCH

A Spatial–Contextual Support Vector Machine for Remotely Sensed Image Classification

(2011) Cheng-Hsuan Li et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

CoTrade: Confident Co-Training With Data Editing

(2011) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Accounting for Control Mislabeling in Case–Control Biomarker Studies

(2011) Mattias Rantalainen et al.   JOURNAL OF PROTEOME RESEARCH

FISH-BOL and seafood identification: Geographically dispersed case studies reveal systemic market substitution across Canada

(2011) Robert Hanner et al.   Mitochondrial DNA

Identifying mislabeled training data with the aid of unlabeled data

(2010) Donghai Guan et al.   APPLIED INTELLIGENCE

A study of the effect of different types of noise on the precision of supervised learning techniques

(2010) David F. Nettleton et al.   ARTIFICIAL INTELLIGENCE REVIEW

Reduced Reward-punishment editing for building ensembles of classifiers

(2010) Loris Nanni et al.   EXPERT SYSTEMS WITH APPLICATIONS

Knitted fabric defect classification for uncertain labels based on Dempster–Shafer theory of evidence

(2010) Mahdi Tabassian et al.   EXPERT SYSTEMS WITH APPLICATIONS

Label Alteration to Improve Underwater Mine Classification

(2010) David P. Williams   IEEE Geoscience and Remote Sensing Letters

When Does Cotraining Work in Real Data?

(2010) Jun Du et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Supervised Neural Network Modeling: An Empirical Investigation Into Learning From Imbalanced Data With Labeling Errors

(2010) Taghi M Khoshgoftaar et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

The efficiency of logistic regression compared to normal discriminant analysis under class-conditional classification noise

(2010) Yingtao Bi et al.   JOURNAL OF MULTIVARIATE ANALYSIS

Data pre-processing through reward–punishment editing

(2010) Annalisa Franco et al.   PATTERN ANALYSIS AND APPLICATIONS

Correcting for misclassification for a monotone disease process with an application in dental research

(2010) M. J. García-Zattera et al.   STATISTICS IN MEDICINE

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS

Methods for labeling error detection in microarrays based on the effect of data perturbation on the regression model

(2009) C. Zhang et al.   BIOINFORMATICS

Semi-supervised protein subcellular localization

(2009) Qian Xu et al.   BMC BIOINFORMATICS

From Annotator Agreement to Noise Models

(2009) Beata Beigman Klebanov et al.   COMPUTATIONAL LINGUISTICS

Knowledge discovery from imbalanced and noisy data

(2009) Jason Van Hulse et al.   DATA & KNOWLEDGE ENGINEERING

Automatic Ground-Truth Validation With Genetic Algorithms for Multispectral Image Classification

(2009) N. Ghoggali et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled Training Samples

(2009) L. Bruzzone et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A Team of Continuous-Action Learning Automata for Noise-Tolerant Learning of Half-Spaces

(2009) P.S. Sastry et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Noise reduction for instance-based learning with a local maximal margin approach

(2009) Nicola Segata et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

Robust supervised classification with mixture models: Learning from data with uncertain labels

(2009) Charles Bouveyron et al.   PATTERN RECOGNITION

Bayesian analysis of a matched case-control study with expert prior information on both the misclassification of exposure and the exposure-disease association

(2009) Juxin Liu et al.   STATISTICS IN MEDICINE

Nearest Neighbor Classification of Remote Sensing Images With the Maximal Margin Principle

(2008) E. Blanzieri et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection

(2008) Shuiwang Ji et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A Bayesian model for multinomial sampling with misclassified data

(2008) M. Ruiz et al.   JOURNAL OF APPLIED STATISTICS

Class-switching neural network ensembles

(2008) Gonzalo Martínez-Muñoz et al.   NEUROCOMPUTING

Learning from partially supervised data using mixture models and belief functions

(2008) E. Côme et al.   PATTERN RECOGNITION

Fuzzy relevance vector machine for learning from unbalanced data and noise

(2008) Ding-Fang Li et al.   PATTERN RECOGNITION LETTERS