Learning from crowdsourced labeled data: a survey

Multi-Class Ground Truth Inference in Crowdsourcing with Clustering

(2016) Jing Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Segmentation-Based Image Copy-Move Forgery Detection Scheme

(2015) Jian Li et al.   IEEE Transactions on Information Forensics and Security

Multicategory Crowdsourcing Accounting for Variable Task Difficulty, Worker Skill, and Worker Intention

(2015) Aditya Kurve et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Imbalanced Multiple Noisy Labeling

(2015) Jing Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Demographic Estimation from Face Images: Human vs. Machine Performance

(2015) Hu Han et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A rapid learning algorithm for vehicle classification

(2015) Xuezhi Wen et al.   INFORMATION SCIENCES

Incremental learning for ν-Support Vector Regression

(2015) Bin Gu et al.   NEURAL NETWORKS

Incremental Support Vector Learning for Ordinal Regression

(2015) Bin Gu et al.   IEEE Transactions on Neural Networks and Learning Systems

Reliable Crowdsourcing for Multi-Class Labeling Using Coding Theory

(2014) Aditya Vempaty et al.   IEEE Journal of Selected Topics in Signal Processing

Transfer learning for Bayesian discovery of multiple Bayesian networks

(2014) Diane Oyen et al.   KNOWLEDGE AND INFORMATION SYSTEMS

A unified statistical framework for crowd labeling

(2014) Jafar Muhammadi et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Class imbalance revisited: a new experimental setup to assess the performance of treatment methods

(2014) Ronaldo C. Prati et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems

(2014) David R. Karger et al.   OPERATIONS RESEARCH

Classification in the Presence of Label Noise: A Survey

(2014) Benoit Frenay et al.   IEEE Transactions on Neural Networks and Learning Systems

Repeated labeling using multiple noisy labelers

(2013) Panagiotis G. Ipeirotis et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Quality Control in Crowdsourcing Systems: Issues and Directions

(2013) M. Allahbakhsh et al.   IEEE INTERNET COMPUTING

Detecting multiple stochastic network motifs in network data

(2013) Kai Liu et al.   KNOWLEDGE AND INFORMATION SYSTEMS

A probabilistic model of active learning with multiple noisy oracles

(2013) Weining Wu et al.   NEUROCOMPUTING

Learning from multiple annotators: Distinguishing good from random labelers

(2013) Filipe Rodrigues et al.   PATTERN RECOGNITION LETTERS

Efficiently Scaling up Crowdsourced Video Annotation

(2012) Carl Vondrick et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

A survey on instance selection for active learning

(2012) Yifan Fu et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Crowdsourcing systems on the World-Wide Web

(2011) Anhai Doan et al.   COMMUNICATIONS OF THE ACM

The Unreasonable Effectiveness of Data

(2009) Alon Halevy et al.   IEEE INTELLIGENT SYSTEMS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

reCAPTCHA: Human-Based Character Recognition via Web Security Measures

(2008) Luis von Ahn et al.   SCIENCE