Jiazhen He
Jiazhen He
Verified email at student.unimelb.edu.au
TitleCited byYear
Identifying at-risk students in massive open online courses
J He, J Bailey, BIP Rubinstein, R Zhang
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
912015
Naive bayes classifier for positive unlabeled learning with uncertainty
J He, Y Zhang, X Li, Y Wang
Proceedings of the 2010 SIAM International Conference on Data Mining, 361-372, 2010
252010
Learning naive Bayes classifiers from positive and unlabelled examples with uncertainty
J He, Y Zhang, X Li, P Shi
International journal of systems science 43 (10), 1805-1825, 2012
162012
Exploiting transitive similarity and temporal dynamics for similarity search in heterogeneous information networks
J He, J Bailey, R Zhang
International Conference on Database Systems for Advanced Applications, 141-155, 2014
102014
Bayesian classifiers for positive unlabeled learning
J He, Y Zhang, X Li, Y Wang
International Conference on Web-Age Information Management, 81-93, 2011
102011
MOOCs meet measurement theory: a topic-modelling approach
J He, BIP Rubinstein, J Bailey, R Zhang, S Milligan, J Chan
Thirtieth AAAI Conference on Artificial Intelligence, 2016
62016
Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums
S Milligan, J He, J Bailey, R Zhang, BIP Rubinstein
proceedings of the sixth international conference on learning analytics …, 2016
22016
TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs
J He, BIP Rubinstein, J Bailey, R Zhang, S Milligan
arXiv preprint arXiv:1607.08720, 2016
2016
Machine learning for feedback in massive open online courses
J HE
2016
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Articles 1–9