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
AAAI, 1749-1755, 2015
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
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
Bayesian classifiers for positive unlabeled learning
J He, Y Zhang, X Li, Y Wang
International Conference on Web-Age Information Management, 81-93, 2011
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
MOOCs Meet Measurement Theory: A Topic-Modelling Approach.
J He, BIP Rubinstein, J Bailey, R Zhang, S Milligan, J Chan
AAAI, 1195-1201, 2016
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
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
Machine learning for feedback in massive open online courses
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