2009 |
10 | EE | Todd Kulesza,
Weng-Keen Wong,
Simone Stumpf,
Stephen Perona,
Rachel White,
Margaret M. Burnett,
Ian Oberst,
Andrew J. Ko:
Fixing the program my computer learned: barriers for end users, challenges for the machine.
IUI 2009: 187-196 |
2008 |
9 | | Jianqiang Shen,
Lida Li,
Weng-Keen Wong:
Markov Blanket Feature Selection for Support Vector Machines.
AAAI 2008: 696-701 |
8 | EE | Sriraam Natarajan,
Hung H. Bui,
Prasad Tadepalli,
Kristian Kersting,
Weng-Keen Wong:
Logical Hierarchical Hidden Markov Models for Modeling User Activities.
ILP 2008: 192-209 |
7 | EE | Simone Stumpf,
Erin Sullivan,
Erin Fitzhenry,
Ian Oberst,
Weng-Keen Wong,
Margaret M. Burnett:
Integrating rich user feedback into intelligent user interfaces.
IUI 2008: 50-59 |
2005 |
6 | EE | Weng-Keen Wong,
Andrew W. Moore,
Gregory F. Cooper,
Michael Wagner:
What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks.
Journal of Machine Learning Research 6: 1961-1998 (2005) |
2004 |
5 | EE | Gregory F. Cooper,
Denver Dash,
John Levander,
Weng-Keen Wong,
William R. Hogan,
Michael Wagner:
Bayesian Biosurveillance of Disease Outbreaks.
UAI 2004: 94-103 |
2003 |
4 | | Andrew W. Moore,
Weng-Keen Wong:
Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning.
ICML 2003: 552-559 |
3 | | Weng-Keen Wong,
Andrew W. Moore,
Gregory F. Cooper,
Michael Wagner:
Bayesian Network Anomaly Pattern Detection for Disease Outbreaks.
ICML 2003: 808-815 |
2002 |
2 | | Weng-Keen Wong,
Andrew W. Moore,
Gregory F. Cooper,
Michael Wagner:
Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks.
AAAI/IAAI 2002: 217-223 |
1999 |
1 | | Jeff G. Schneider,
Weng-Keen Wong,
Andrew W. Moore,
Martin A. Riedmiller:
Distributed Value Functions.
ICML 1999: 371-378 |