Learning from noisy out-of-domain corpus using dataless classification

Toward any-language zero-shot topic classification of textual documents

(2019) Yangqiu Song et al.   ARTIFICIAL INTELLIGENCE

Seed-Guided Topic Model for Document Filtering and Classification

(2018) Chenliang Li et al.   ACM TRANSACTIONS ON INFORMATION SYSTEMS

Multi-label dataless text classification with topic modeling

(2018) Daochen Zha et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Classification in the Presence of Label Noise: A Survey

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

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

A Survey on Transfer Learning

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