Bing Hu
Affiliations:- University of California, Riverside
According to our database1,
Bing Hu
authored at least 19 papers
between 2011 and 2017.
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Bibliography
2017
Data Min. Knowl. Discov., 2017
2016
Data Min. Knowl. Discov., 2016
2015
Pattern Anal. Appl., 2015
Data Min. Knowl. Discov., 2015
Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series.
Data Min. Knowl. Discov., 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
PinPlace: associate semantic meanings with indoor locations without active fingerprinting.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015
Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2014
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014
2013
PhD thesis, 2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
A Minimum Description Length Technique for Semi-Supervised Time Series Classification.
Proceedings of the Integration of Reusable Systems [extended versions of the best papers which were presented at IEEE International Conference on Information Reuse and Integration and IEEE International Workshop on Formal Methods Integration, 2013
Towards a minimum description length based stopping criterion for semi-supervised time series classification.
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013
Classification of Multi-dimensional Streaming Time Series by Weighting Each Classifier's Track Record.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Towards Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL.
Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011