Bounds on the mean classification error rate of multiple experts

Get another label? improving data quality and data mining using multiple, noisy labelers

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

From active towards InterActive learning: using consideration information to improve labeling correctness

Proceedings of the ACM SIGKDD Workshop on Human Computation

Evaluating classifiers by means of test data with noisy labels

IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence

Collecting high quality overlapping labels at low cost

Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval

Assessing ground truth of glandular tissue

IWDM'06 Proceedings of the 8th international conference on Digital Mammography

Repeated labeling using multiple noisy labelers

Data Mining and Knowledge Discovery