Weng-Keen Wong
Weng-Keen Wong
Associate Professor of Computer Science, Oregon State University
Verified email at eecs.oregonstate.edu
Cited by
Cited by
Genome-wide mapping of alternative splicing in Arabidopsis thaliana
SA Filichkin, HD Priest, SA Givan, R Shen, DW Bryant, SE Fox, WK Wong, ...
Genome research 20 (1), 45-58, 2010
The eBird enterprise: an integrated approach to development and application of citizen science
BL Sullivan, JL Aycrigg, JH Barry, RE Bonney, N Bruns, CB Cooper, ...
Biological Conservation 169, 31-40, 2014
Data-intensive science applied to broad-scale citizen science
WM Hochachka, D Fink, RA Hutchinson, D Sheldon, WK Wong, S Kelling
Trends in ecology & evolution 27 (2), 130-137, 2012
Principles of explanatory debugging to personalize interactive machine learning
T Kulesza, M Burnett, WK Wong, S Stumpf
Proceedings of the 20th international conference on intelligent user …, 2015
Bayesian network anomaly pattern detection for disease outbreaks
WK Wong, AW Moore, GF Cooper, MM Wagner
Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003
Distributed value functions
J Schneider, WK Wong, A Moore, M Riedmiller
Carnegie Mellon University, 1999
Too much, too little, or just right? Ways explanations impact end users' mental models
T Kulesza, S Stumpf, M Burnett, S Yang, I Kwan, WK Wong
2013 IEEE Symposium on visual languages and human centric computing, 3-10, 2013
Interacting meaningfully with machine learning systems: Three experiments
S Stumpf, V Rajaram, L Li, WK Wong, M Burnett, T Dietterich, E Sullivan, ...
International journal of human-computer studies 67 (8), 639-662, 2009
Rule-based anomaly pattern detection for detecting disease outbreaks
WK Wong, A Moore, G Cooper, M Wagner
AAAI/IAAI, 217-223, 2002
Machine learning for activity recognition: hip versus wrist data
SG Trost, Y Zheng, WK Wong
Physiological measurement 35 (11), 2183, 2014
Artificial neural networks to predict activity type and energy expenditure in youth
SG Trost, WK Wong, KA Pfeiffer, Y Zheng
Medicine and science in sports and exercise 44 (9), 1801, 2012
Taming compiler fuzzers
Y Chen, A Groce, C Zhang, WK Wong, X Fern, E Eide, J Regehr
Proceedings of the 34th ACM SIGPLAN conference on Programming language …, 2013
Optimal reinsertion: A new search operator for accelerated and more accurate Bayesian network structure learning
A Moore, WK Wong
ICML 3, 552-559, 2003
Detecting insider threats in a real corporate database of computer usage activity
TE Senator, HG Goldberg, A Memory, WT Young, B Rees, R Pierce, ...
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
Systematic construction of anomaly detection benchmarks from real data
AF Emmott, S Das, T Dietterich, A Fern, WK Wong
Proceedings of the ACM SIGKDD workshop on outlier detection and description …, 2013
Open set learning with counterfactual images
L Neal, M Olson, X Fern, WK Wong, F Li
Proceedings of the European Conference on Computer Vision (ECCV), 613-628, 2018
Bayesian biosurveillance of disease outbreaks
GF Cooper, D Dash, J Levander, WK Wong, W Hogan, M Wagner
arXiv preprint arXiv:1207.4122, 2012
WSARE: what’s strange about recent events?
WK Wong, A Moore, G Cooper, M Wagner
Journal of Urban Health 80 (1), i66-i75, 2003
Issues in applied statistics for public health bioterrorism surveillance using multiple data streams: research needs
H Rolka, H Burkom, GF Cooper, M Kulldorff, D Madigan, WK Wong
Statistics in Medicine 26 (8), 1834-1856, 2007
Incorporating expert feedback into active anomaly discovery
S Das, WK Wong, T Dietterich, A Fern, A Emmott
2016 IEEE 16th International Conference on Data Mining (ICDM), 853-858, 2016
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