| Predictive analytics with Microsoft Azure machine learning R Barga, V Fontama, WH Tok, L Cabrera-Cordon Apress, 2015 | 213 | 2015 |
| Generative adversarial networks M Salvaris, D Dean, WH Tok Deep Learning with Azure: Building and Deploying Artificial Intelligence …, 2018 | 80 | 2018 |
| Deep learning with azure M Salvaris, D Dean, WH Tok Building and Deploying Artificial Intelligence Solutions on Microsoft AI …, 2018 | 60 | 2018 |
| An adaptable distributed query processing architecture Y Zhou, BC Ooi, KL Tan, WH Tok Data & Knowledge Engineering 53 (3), 283-309, 2005 | 48 | 2005 |
| Introducing microsoft azure machine learning R Barga, V Fontama, WH Tok Predictive Analytics with Microsoft Azure Machine Learning: Build and Deploy …, 2014 | 41 | 2014 |
| Professional Microsoft SQL Server 2012 Integration Services B Knight, E Veerman, JM Moss, M Davis, C Rock John Wiley & Sons, 2012 | 30 | 2012 |
| Microsoft AI platform M Salvaris, D Dean, WH Tok Deep Learning with Azure: Building and Deploying Artificial Intelligence …, 2018 | 29 | 2018 |
| Open and Novel Issues in XML Database Applications: Future Directions and Advanced Technologies: Future Directions and Advanced Technologies E Pardede IGI Global, 2009 | 28 | 2009 |
| Accelerating Markovian analysis of asynchronous systems using string-based state compression A Xie, PA Beerel Proceedings Fourth International Symposium on Advanced Research in …, 1998 | 28* | 1998 |
| Practical automated machine learning on Azure: using Azure machine learning to quickly build AI solutions D Mukunthu, P Shah, WH Tok O'Reilly Media, 2019 | 27 | 2019 |
| Consistent top-k queries over time ML Lee, W Hsu, L Li, WH Tok International Conference on Database Systems for Advanced Applications, 51-65, 2009 | 25 | 2009 |
| Efficient and adaptive processing of multiple continuous queries WH Tok, S Bressan International Conference on Extending Database Technology, 215-232, 2002 | 24 | 2002 |
| Metadata driven real-time analytics framework W Zhang, X Ding, WH Tok, X Wu, R Cao, B Demiroski, X Zhao US Patent 9,251,324, 2016 | 21 | 2016 |
| A stratified approach to progressive approximate joins WH Tok, S Bressan, ML Lee Proceedings of the 11th international conference on Extending database …, 2008 | 21 | 2008 |
| DBNet: A service-oriented database architecture WH Tok, S Bressan 17th International Workshop on Database and Expert Systems Applications …, 2006 | 21 | 2006 |
| Introducing Microsoft Azure HDInsight Technical Overview A Chauhan Microsoft Press, 0 | 21* | |
| Cognitive services and custom vision M Salvaris, D Dean, WH Tok Deep learning with azure: Building and deploying artificial intelligence …, 2018 | 17 | 2018 |
| Metadata driven real-time analytics framework W Zhang, X Ding, WH Tok, X Wu, R Cao, B Demiroski, X Zhao US Patent 10,013,239, 2018 | 17 | 2018 |
| RRPJ: Result-rate based progressive relational join WH Tok, S Bressan, ML Lee International Conference on Database Systems for Advanced Applications, 43-54, 2007 | 17 | 2007 |
| Advanced query processing B Catania Springer, 2013 | 16* | 2013 |
Stephane BressanNational University of SingaporeVerified email at nus.edu.sg
