Weng-Keen Wong

According to our database1, Weng-Keen Wong authored at least 53 papers between 1999 and 2017.

Collaborative distances :
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Incorporating Feedback into Tree-based Anomaly Detection.
CoRR, 2017

Implementation of a Gaussian process-based machine learning grasp predictor.
Auton. Robots, 2016

Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Incorporating Expert Feedback into Active Anomaly Discovery.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Sequential Feature Explanations for Anomaly Detection.
CoRR, 2015

Systematic Construction of Anomaly Detection Benchmarks from Real Data.
CoRR, 2015

TIPR: transcription initiation pattern recognition on a genome scale.
Bioinformatics, 2015

Principles of Explanatory Debugging to Personalize Interactive Machine Learning.
Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

Discovering Hotspots and Coldspots of Species Richness in eBird Data.
Proceedings of the Computational Sustainability, 2015

You Are the Only Possible Oracle: Effective Test Selection for End Users of Interactive Machine Learning Systems.
IEEE Trans. Software Eng., 2014

Latent dirichlet allocation based diversified retrieval for e-commerce search.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Evaluating the efficacy of grasp metrics for utilization in a Gaussian Process-based grasp predictor.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Taming a Fuzzer Using Delta Debugging Trails.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Using Crowdsourcing to Generate Surrogate Training Data for Robotic Grasp Prediction.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Clustering Species Accumulation Curves to Identify Skill Levels of Citizen Scientists Participating in the eBird Project.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

A Human/Computer Learning Network to Improve Biodiversity Conservation and Research.
AI Magazine, 2013

End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression.
Artif. Intell., 2013

Too much, too little, or just right? Ways explanations impact end users' mental models.
Proceedings of the 2013 IEEE Symposium on Visual Languages and Human Centric Computing, 2013

Taming compiler fuzzers.
Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2013

Physical Activity Recognition from Accelerometer Data Using a Multi-Scale Ensemble Method.
Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, 2013

An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration.
ACM TIST, 2012

Bayesian Biosurveillance of Disease Outbreaks
CoRR, 2012

Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images?
Proceedings of the 17th International Conference on Intelligent User Interfaces, 2012

eBird: A Human/Computer Learning Network for Biodiversity Conservation and Research.
Proceedings of the Twenty-Fourth Conference on Innovative Applications of Artificial Intelligence, 2012

Automated data verification in a large-scale citizen science project: A case study.
Proceedings of the 8th IEEE International Conference on E-Science, 2012

End-user interactions with intelligent and autonomous systems.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

Why-oriented end-user debugging of naive Bayes text classification.
TiiS, 2011

Mini-crowdsourcing end-user assessment of intelligent assistants: A cost-benefit study.
Proceedings of the 2011 IEEE Symposium on Visual Languages and Human-Centric Computing, 2011

End-user feature labeling: a locally-weighted regression approach.
Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011

Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach.
Proceedings of the End-User Development - Third International Symposium, 2011

Emergent Filters: Automated Data Verification in a Large-Scale Citizen Science Project.
Proceedings of the IEEE 7th International Conference on E-Science, 2011

End-User Feature Labeling via Locally Weighted Logistic Regression.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Machine learning algorithms for event detection.
Machine Learning, 2010

Supersplat - spliced RNA-seq alignment.
Bioinformatics, 2010

Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs.
Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2010

Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling.
Proceedings of the ICDM 2010, 2010

Interacting meaningfully with machine learning systems: Three experiments.
Int. J. Hum.-Comput. Stud., 2009

QSRA - a quality-value guided de novo short read assembler.
BMC Bioinformatics, 2009

Category detection using hierarchical mean shift.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Fixing the program my computer learned: barriers for end users, challenges for the machine.
Proceedings of the 14th International Conference on Intelligent User Interfaces, 2009

Integrating rich user feedback into intelligent user interfaces.
Proceedings of the 13th International Conference on Intelligent User Interfaces, 2008

Logical Hierarchical Hidden Markov Models for Modeling User Activities.
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

Markov Blanket Feature Selection for Support Vector Machines.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks.
Journal of Machine Learning Research, 2005

Bayesian Biosurveillance of Disease Outbreaks.
Proceedings of the UAI '04, 2004

Bayesian Network Anomaly Pattern Detection for Disease Outbreaks.
Proceedings of the Machine Learning, 2003

Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning.
Proceedings of the Machine Learning, 2003

Data, network, and application: technical description of the Utah RODS Winter Olympic Biosurveillance System.
Proceedings of the AMIA 2002, 2002

Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

Distributed Value Functions.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999