Weng-Keen Wong

发表

Automated data verification in a large-scale citizen science project: A case study

Steve Kelling, Jeff Gerbracht, Weng-Keen Wong, 2012, 2012 IEEE 8th International Conference on E-Science.

You Are the Only Possible Oracle: Effective Test Selection for End Users of Interactive Machine Learning Systems

Alex Groce, Weng-Keen Wong, Todd Kulesza, 2014, IEEE Transactions on Software Engineering.

Discriminative Probabilistic Framework for Generalized Multi-Instance Learning

Weng-Keen Wong, Xiaoli Z. Fern, Anh T. Pham, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

TIPR: transcription initiation pattern recognition on a genome scale

Weng-Keen Wong, Taj Morton, Molly Megraw, 2015, Bioinform..

End-user debugging of machine-learned programs : toward principles for baring the logic

Weng-Keen Wong, Todd Kulesza, Simone Stumpf, 2009 .

Distributed Value Functions

Andrew W. Moore, Weng-Keen Wong, Jeff G. Schneider, 1999, ICML.

End-User Feature Labeling via Locally Weighted Logistic Regression

Weng-Keen Wong, Margaret M. Burnett, Simone Stumpf, 2011, AAAI.

Markov Blanket Feature Selection for Support Vector Machines

Weng-Keen Wong, Jianqiang Shen, Lida Li, 2008, AAAI.

Latent dirichlet allocation based diversified retrieval for e-commerce search

Jun Yu, Weng-Keen Wong, Sunil Mohan, 2014, WSDM.

Integrating rich user feedback into intelligent user interfaces

Weng-Keen Wong, Margaret M. Burnett, Simone Stumpf, 2008, IUI '08.

End-user feature engineering in the presence of class imbalance

Weng-Keen Wong, Todd Kulesza, Simone Stumpf, 2009 .

Detecting insider threats in a real corporate database of computer usage activity

Thomas G. Dietterich, Danai Koutra, Christos Faloutsos, 2013, KDD.

Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling

Jun Yu, Weng-Keen Wong, Rebecca A. Hutchinson, 2010, 2010 IEEE International Conference on Data Mining.

End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression

Weng-Keen Wong, Margaret M. Burnett, Simone Stumpf, 2013, Artif. Intell..

CHAPTER 14 – Classical Time-Series Methods for Biosurveillance

Weng-Keen Wong, Weng-Keen Wong, 2006 .

Taming a Fuzzer Using Delta Debugging Trails

Alex Groce, Weng-Keen Wong, Xiaoli Z. Fern, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning

Andrew W. Moore, Weng-Keen Wong, A. Moore, 2003, ICML.

Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach

Alex Groce, Weng-Keen Wong, Todd Kulesza, 2011, IS-EUD.

eBird: A Human/Computer Learning Network for Biodiversity Conservation and Research

Jun Yu, Steve Kelling, Jeff Gerbracht, 2012, IAAI.

An Efficient Quantile Spatial Scan Statistic for Finding Unusual Regions in Continuous Spatial Data with Covariates

Weng-Keen Wong, Travis Moore, Weng-Keen Wong, 2018, UAI.

Discovering Hotspots and Coldspots of Species Richness in eBird Data

Weng-Keen Wong, Travis Moore, 2015, AAAI Workshop: Computational Sustainability.

A special issue of Machine Learning

Weng-Keen Wong, Dragos D. Margineantu, Denver Dash, 2010 .

Sequential Feature Explanations for Anomaly Detection

Thomas G. Dietterich, Weng-Keen Wong, Alan Fern, 2019, ACM Trans. Knowl. Discov. Data.

Too much, too little, or just right? Ways explanations impact end users' mental models

Weng-Keen Wong, Todd Kulesza, Margaret M. Burnett, 2013, 2013 IEEE Symposium on Visual Languages and Human Centric Computing.

Category detection using hierarchical mean shift

Weng-Keen Wong, Pavan Vatturi, Weng-Keen Wong, 2009, KDD.

Discovering Anomalies by Incorporating Feedback from an Expert

Weng-Keen Wong, Shubhomoy Das, Alan Fern, 2020, ACM Trans. Knowl. Discov. Data.

Principles of Explanatory Debugging to Personalize Interactive Machine Learning

Weng-Keen Wong, Todd Kulesza, Margaret M. Burnett, 2015, IUI.

A Sensor Network Approach to Managing Data Quality in Citizen Science

Steve Kelling, Weng-Keen Wong, Carl Lagoze, 2014, AAAI 2014.

Physical Activity Recognition from Accelerometer Data Using a Multi-Scale Ensemble Method

Weng-Keen Wong, Xinze Guan, Stewart Trost, 2013, IAAI.

A Human/Computer Learning Network to Improve Biodiversity Conservation and Research

Jun Yu, Steve Kelling, Jeff Gerbracht, 2012, AI Mag..

Incorporating Feedback into Tree-based Anomaly Detection pdf

Thomas G. Dietterich, Weng-Keen Wong, Shubhomoy Das, 2017, ArXiv.

Taming compiler fuzzers

Alex Groce, Eric Eide, Weng-Keen Wong, 2013, PLDI.

Clustering Species Accumulation Curves to Identify Skill Levels of Citizen Scientists Participating in the eBird Project

Jun Yu, Steve Kelling, Weng-Keen Wong, 2014, AAAI.

CHAPTER 18 – Bayesian Methods for Diagnosing Outbreaks

Weng-Keen Wong, Gregory F. Cooper, Michael M. Wagner, 2006 .

Use of multiple data streams to conduct Bayesian biologic surveillance.

Weng-Keen Wong, G Cooper, D Dash, 2005, MMWR supplements.

Mini-crowdsourcing end-user assessment of intelligent assistants: A cost-benefit study

Alex Groce, Weng-Keen Wong, William Curran, 2011, 2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC).

Implementation of a Gaussian process-based machine learning grasp predictor

Weng-Keen Wong, Ravi Balasubramanian, Alex K. Goins, 2016, Auton. Robots.

Interacting meaningfully with machine learning systems: Three experiments

Thomas G. Dietterich, Weng-Keen Wong, Margaret M. Burnett, 2009, Int. J. Hum. Comput. Stud..

A Meta-Analysis of the Anomaly Detection Problem

Thomas G. Dietterich, Weng-Keen Wong, Shubhomoy Das, 2015 .

End-user feature labeling: a locally-weighted regression approach

Weng-Keen Wong, Margaret M. Burnett, Simone Stumpf, 2011, IUI '11.

QSRA – a quality-value guided de novo short read assembler

Weng-Keen Wong, Douglas W. Bryant, Todd C. Mockler, 2009, BMC Bioinformatics.

Counterfactual States for Atari Agents via Generative Deep Learning pdf

Weng-Keen Wong, Fuxin Li, Lawrence Neal, 2019, ArXiv.

IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2010, Leganés-Madrid, Spain, 21-25 September 2010, Proceedings

Esther Guerra, Weng-Keen Wong, Jordi Cabot, 2010, VL/HCC.

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

Andrew W. Moore, Zhen Liu, Weng-Keen Wong, 2002, AMIA.

IoT Device Type Identification Using Hybrid Deep Learning Approach for Increased IoT Security

Weng-Keen Wong, Bechir Hamdaoui, Jiaqi Bao, 2020, 2020 International Wireless Communications and Mobile Computing (IWCMC).

Machine learning algorithms for event detection

Weng-Keen Wong, Dragos D. Margineantu, Denver Dash, 2010, Machine Learning.

Issues in applied statistics for public health bioterrorism surveillance using multiple data streams: research needs

Gregory F Cooper, Weng-Keen Wong, David Madigan, 2007, Statistics in medicine.

An Ensemble Learning and Problem Solving Architecture for Airspace Management

Santiago Ontañón, James A. Hendler, Thomas G. Dietterich, 2009, IAAI.

Anomaly Detection Meta-Analysis Benchmarks

Thomas G. Dietterich, Weng-Keen Wong, Shubhomoy Das, 2016 .

Rule-based anomaly pattern detection for detecting disease outbreaks

Andrew W. Moore, Weng-Keen Wong, Gregory F. Cooper, 2002, AAAI/IAAI.

Emergent Filters: Automated Data Verification in a Large-Scale Citizen Science Project

Jun Yu, Steve Kelling, Jeff Gerbracht, 2011, 2011 IEEE Seventh International Conference on e-Science Workshops.

An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration

Santiago Ontañón, James A. Hendler, Thomas G. Dietterich, 2012, TIST.

Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model

Weng-Keen Wong, Raviv Raich, Xinze Guan, 2016, ICML.

Artificial neural networks to predict activity type and energy expenditure in youth.

Weng-Keen Wong, Stewart G Trost, Yonglei Zheng, 2012, Medicine and science in sports and exercise.

Taming compiler fuzzers

Alex Groce, Eric Eide, Weng-Keen Wong, 2013, ACM-SIGPLAN Symposium on Programming Language Design and Implementation.

What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks

Andrew W. Moore, Weng-Keen Wong, Gregory F. Cooper, 2005, J. Mach. Learn. Res..

Bayesian Network Anomaly Pattern Detection for Disease Outbreaks

Andrew W. Moore, Weng-Keen Wong, Gregory F. Cooper, 2003, ICML.

Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images?

Weng-Keen Wong, William Curran, Todd Kulesza, 2012, IUI '12.

Open Set Learning with Counterfactual Images

Weng-Keen Wong, Xiaoli Z. Fern, Fuxin Li, 2018, ECCV.

Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs

Weng-Keen Wong, Todd Kulesza, Margaret M. Burnett, 2010, VL/HCC.

End-user interactions with intelligent and autonomous systems

Weng-Keen Wong, Margaret M. Burnett, Simone Stumpf, 2012, CHI Extended Abstracts.

Bayesian Biosurveillance of Disease Outbreaks

Weng-Keen Wong, Gregory F. Cooper, Michael M. Wagner, 2004, UAI.

A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists

Jun Yu, Weng-Keen Wong, Rebecca A. Hutchinson, 2014, AAAI.

Open Set Recognition with Generated Data

Weng-Keen Wong, Xiaoli Z. Fern, Fuxin Li, 2018 .

Gene expression Advance Access publication April 21, 2010 Supersplat—spliced RNA-seq alignment

Weng-Keen Wong, Douglas W. Bryant, Todd C. Mockler, 2009 .

Fixing the program my computer learned: barriers for end users, challenges for the machine

Weng-Keen Wong, Todd Kulesza, Margaret M. Burnett, 2009, IUI.

Incorporating Expert Feedback into Active Anomaly Discovery

Thomas G. Dietterich, Weng-Keen Wong, Shubhomoy Das, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Evaluating the efficacy of grasp metrics for utilization in a Gaussian Process-based grasp predictor

Weng-Keen Wong, Ravi Balasubramanian, Alex K. Goins, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Raw tri-axial acceleration data improves the recognition of physical activity type in children and adolescents

Weng-Keen Wong, Stewart G. Trost, Y. Zheng, 2012 .

Systematic construction of anomaly detection benchmarks from real data pdf

Thomas G. Dietterich, Weng-Keen Wong, Shubhomoy Das, 2013, ODD '13.

Using Crowdsourcing to Generate Surrogate Training Data for Robotic Grasp Prediction

Zhifei Zhang, Weng-Keen Wong, Ravi Balasubramanian, 2014, HCOMP.

Why-oriented end-user debugging of naive Bayes text classification

Weng-Keen Wong, Todd Kulesza, Margaret M. Burnett, 2011, ACM Trans. Interact. Intell. Syst..

Combining Multiple Signals for Biosurveillance

Weng-Keen Wong, Brigham Anderson, Kaustav Das, 2006, Handbook of Biosurveillance.

Logical Hierarchical Hidden Markov Models for Modeling User Activities

Weng-Keen Wong, Kristian Kersting, Sriraam Natarajan, 2008, ILP.

Contrastive Identification of Covariate Shift in Image Data

Weng-Keen Wong, Minsuk Kahng, Gaurav Dixit, 2021, 2021 IEEE Visualization Conference (VIS).

Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning pdf

Weng-Keen Wong, Fuxin Li, Lawrence Neal, 2021, Artif. Intell..

Multi-label Classification for Multi-Species Distribution Modeling

Weng-Keen Wong, Matthew Betts, Jun Yu, 2011 .

Structure Refinement in First Order Conditional Influence Language

Weng-Keen Wong, Prasad Tadepalli, Sriraam Natarajan, 2006 .

Multi-label Classification for Species Distribution Modeling

Weng-Keen Wong, Matthew Betts, Jun Yu, 2011 .

Making intelligent systems understandable and controllable by end users

Weng-Keen Wong, Todd Kulesza, Simone Stumpf, 2012 .

Fixing the program my computer learned: barriers for end users, challenges for the machine

Weng-Keen Wong, Todd Kulesza, Margaret M. Burnett, 2009, IUI.