Researcher discovers that a combination of adversarial learning and sparse modelling techniques improves the performance of an email/spam classifier. Fei Wang CMCRC PhD candidate U. of Sydney Prof Sanjay Chawla CMCRC Research Leader U. of Sydney Classifiers are widely used in many computer-based applications to the bene- fit of virtually all computer users. An
Study looks at combining text data and financial quantitative data to produce a model for predicting a stocks daily return. Tony Zhao Zhao is a PhD student at Macquarie University. He has worked on a wide range of topics including embedded systems, digital signal processing, machine learning, large-scale data processing and natural language processing but
Named-Entity Recognition (NER) is still a challenging task for languages with low digital resources. The main difficulties arise from the scarcity of annotated corpora and the consequent problematic training of an effective NER pipeline. To abridge this gap, in this paper we target the Persian language that is spoken by a population of over a
Researchers produce a new framework, StreamEB, which could revolutionise the visual analysis of data and graph streams. Dr Quan Nguyen CMCRC PhD graduate U. of Sydney Prof Peter Eades CMCRC Research Leader U. of Sydney High velocity data streams such as trading data have become ubiquitous since the 1990s and graph streaming is becoming
Contact CMCRC for this article Author(s): Chayapol Moemeng, Vladimir Gorodetsky, Ziye Zuo, Yong Yang, Chengqi Zhang
Contact CMCRC for this article Author(s): Zhigang Zheng, Yanchang Zhao, Ziye Zuo, Longbing Cao
Contact CMCRC for this article Author(s): Meng Xu, Michael Bain
Contact CMCRC for this article Author(s): Yuming Ou, Longbing Cao, Chao Luo and Li Liu
Contact CMCRC for this article Author(s): Wei Liu, Sanjay Chawla
Contact CMCRC for this article Author(s): Chao Luo, Yanchang Zhao, Dan Luo, Yuming Ou, Li Liu