Denver Dash

According to our database, Denver Dash authored at least 26 papers between 1999 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans.

Armen Avetisyan, Tatiana Khanova, Christopher B. Choy, Denver Dash, Angela Dai, Matthias Nießner

Proceedings of the Computer Vision - ECCV 2020, 2020

2015

Opportunities and Challenges of Industry-Academic Collaborations in Multimedia Research.

Shih-Fu Chang, Matthew Cooper, Denver Dash, Funda Kivran-Swaine, Jia Li, David A. Shamma

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

2014

Physical querying with multi-modal sensing.

Iljoo Baek, Taylor Stine, Denver Dash, Fanyi Xiao, Yaser Sheikh, Yair Movshovitz-Attias, Mei Chen, Martial Hebert, Takeo Kanade

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

2013

A Hybrid Anytime Algorithm for the Constructiion of Causal Models From Sparse Data

Denver Dash, Marek J. Druzdzel

CoRR, 2013

Sequences of Mechanisms for Causal Reasoning in Artificial Intelligence.

Denver Dash, Mark Voortman, Martijn de Jongh

Proceedings of the IJCAI 2013, 2013

2012

A Robust Independence Test for Constraint-Based Learning of Causal Structure

Denver Dash, Marek J. Druzdzel

CoRR, 2012

2010

Machine learning algorithms for event detection.

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

Mach. Learn., 2010

Learning Causal Models That Make Correct Manipulation Predictions.

Mark Voortman, Denver Dash, Marek J. Druzdzel

Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Learning Why Things Change: The Difference-Based Causality Learner.

Mark Voortman, Denver Dash, Marek J. Druzdzel

Proceedings of the UAI 2010, 2010

Relational Learning for Collective Classification of Entities in Images.

Anton Chechetka, Denver Dash, Matthai Philipose

Proceedings of the Statistical Relational Artificial Intelligence, 2010

2008

A note on the correctness of the causal ordering algorithm.

Denver Dash, Marek J. Druzdzel

Artif. Intell., 2008

Efficient Inference in Persistent Dynamic Bayesian Networks.

Tomás Singliar, Denver Dash

Proceedings of the UAI 2008, 2008

2007

COD: Online Temporal Clustering for Outbreak Detection.

Tomás Singliar, Denver Dash

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

A distributed host-based worm detection system.

Senthilkumar G. Cheetancheri, John Mark Agosta, Denver Dash, Karl N. Levitt, Jeff Rowe, Eve M. Schooler

Proceedings of the 2006 SIGCOMM Workshop on Large-Scale Attack Defense, 2006

When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions.

Denver Dash, Branislav Kveton, John Mark Agosta, Eve M. Schooler, Jaideep Chandrashekar, Abraham Bachrach, Alex Newman

Proceedings of the Proceedings, 2006

2005

Automatic Excursion Detection in Manufacturing: Preliminary Results.

Branislav Kveton, Denver Dash

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

Restructuring Dynamic Causal Systems in Equilibrium.

Denver Dash

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Model Averaging for Prediction with Discrete Bayesian Networks.

Denver Dash, Gregory F. Cooper

J. Mach. Learn. Res., 2004

Bayesian Biosurveillance of Disease Outbreaks.

Gregory F. Cooper, Denver Dash, John Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner

Proceedings of the UAI '04, 2004

2003

Robust Independence Testing for Constraint-Based Learning of Causal Structure.

Denver Dash, Marek J. Druzdzel

Proceedings of the UAI '03, 2003

Model Averaging with Bayesian Network Classifiers.

Denver Dash, Gregory F. Cooper

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002

A method for evaluating elicitation schemes for probabilistic models.

Haiqin Wang, Denver Dash, Marek J. Druzdzel

IEEE Trans. Syst. Man Cybern. Part B, 2002

Exact model averaging with naive Bayesian classifiers.

Denver Dash, Gregory F. Cooper

Proceedings of the Machine Learning, 2002

2001

A Method for Evaluating Elicitation Schemes for Probabilities.

Haiqin Wang, Denver Dash, Marek J. Druzdzel

Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

Caveats for Causal Reasoning with Equilibrium Models.

Denver Dash, Marek J. Druzdzel

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

1999

A Hybrid Anytime Algorithm for the Construction of Causal Models From Sparse Data.

Denver Dash, Marek J. Druzdzel

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999