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Exploiting Transitive Similarity and Temporal Dynamics for Similarity Search in Heterogeneous Information Networks., , and . DASFAA (2), volume 8422 of Lecture Notes in Computer Science, page 141-155. Springer, (2014)MOOCs Meet Measurement Theory: A Topic-Modelling Approach., , , , , and . AAAI, page 1195-1201. AAAI Press, (2016)Identifying At-Risk Students in Massive Open Online Courses., , , and . AAAI, page 1749-1755. AAAI Press, (2015)Naive Bayes Classifier for Positive Unlabeled Learning with Uncertainty., , , and . SDM, page 361-372. SIAM, (2010)Learning naive Bayes classifiers from positive and unlabelled examples with uncertainty., , , and . Int. J. Syst. Sci., 43 (10): 1805-1825 (2012)Chemformer: a pre-trained transformer for computational chemistry., , , and . Mach. Learn. Sci. Technol., 3 (1): 15022 (2022)An Effective Image Enhancement Method for Color Fundus Images., , , and . ACAI, page 43:1-43:5. ACM, (2021)TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs., , , , and . CoRR, (2016)MOOCs Meet Measurement Theory: A Topic-Modelling Approach., , , , , and . CoRR, (2015)Bayesian Classifiers for Positive Unlabeled Learning., , , and . WAIM, volume 6897 of Lecture Notes in Computer Science, page 81-93. Springer, (2011)