Identifying forged seal imprints using positive and unlabeled learning

Learning from positive and unlabeled data: a survey

(2020) Jessa Bekker et al.   MACHINE LEARNING

PUMAD: PU Metric learning for anomaly detection

(2020) Hyunjun Ju et al.   INFORMATION SCIENCES

Ensembles of density estimators for positive-unlabeled learning

(2019) T. M. A. Basile et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric

(2019) Yongchan Kwon et al.   MACHINE LEARNING

Large-Margin Label-Calibrated Support Vector Machines for Positive and Unlabeled Learning

(2019) Chen Gong et al.   IEEE Transactions on Neural Networks and Learning Systems

Multi-Manifold Positive and Unlabeled Learning for Visual Analysis

(2019) Chen Gong et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

hPSD: A Hybrid PU-Learning-Based Spammer Detection Model for Product Reviews

(2018) Zhiang Wu et al.   IEEE Transactions on Cybernetics

Bayesian belief network for positive unlabeled learning with uncertainty

(2017) Hongxiao Gan et al.   PATTERN RECOGNITION LETTERS

A Novel Ensemble Method for Imbalanced Data Learning: Bagging of Extrapolation-SMOTE SVM

(2017) Qi Wang et al.   Computational Intelligence and Neuroscience

A robust ensemble approach to learn from positive and unlabeled data using SVM base models

(2015) Marc Claesen et al.   NEUROCOMPUTING

Fast Near-Duplicate Image Detection Using Uniform Randomized Trees

(2014) Yanqiang Lei et al.   ACM Transactions on Multimedia Computing Communications and Applications