Denver Dash

Publication Activity (10 Years)

Years Active: 1999-2020
Publications (10 Years): 2

Top Topics

Complex Objects

Efficient Inference

Disease Outbreaks

Career Development

Top Venues

Publications

Armen Avetisyan, Tatiana Khanova, Christopher Choy, Denver Dash, Angela Dai, Matthias Nießner
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans. ECCV (22) (2020)
Armen Avetisyan, Tatiana Khanova, Christopher Choy, Denver Dash, Angela Dai, Matthias Nießner
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans. CoRR (2020)
Shih-Fu Chang, Matthew Cooper, Denver Dash, Funda Kivran-Swaine, Jia Li, David A. Shamma
Opportunities and Challenges of Industry-Academic Collaborations in Multimedia Research. ACM Multimedia (2015)
Iljoo Baek, Taylor Stine, Denver Dash, Fanyi Xiao, Yaser Sheikh, Yair Movshovitz-Attias, Mei Chen, Martial Hebert, Takeo Kanade
Physical querying with multi-modal sensing. WACV (2014)
Denver Dash, Marek J. Druzdzel
A Hybrid Anytime Algorithm for the Constructiion of Causal Models From Sparse Data CoRR (2013)
Denver Dash, Mark Voortman, Martijn de Jongh
Sequences of Mechanisms for Causal Reasoning in Artificial Intelligence. IJCAI (2013)
Denver Dash, Marek J. Druzdzel
A Robust Independence Test for Constraint-Based Learning of Causal Structure CoRR (2012)
Gregory F. Cooper, Denver Dash, John Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner
Bayesian Biosurveillance of Disease Outbreaks CoRR (2012)
Tomás Singliar, Denver Dash
Efficient inference in persistent Dynamic Bayesian Networks CoRR (2012)
Mark Voortman, Denver Dash, Marek J. Druzdzel
Learning Why Things Change: The Difference-Based Causality Learner CoRR (2012)
Dragos D. Margineantu, Weng-Keen Wong, Denver Dash
Machine learning algorithms for event detection. Mach. Learn. 79 (3) (2010)
Mark Voortman, Denver Dash, Marek J. Druzdzel
Learning Why Things Change: The Difference-Based Causality Learner. UAI (2010)
Anton Chechetka, Denver Dash, Matthai Philipose
Relational Learning for Collective Classification of Entities in Images. Statistical Relational Artificial Intelligence (2010)
Mark Voortman, Denver Dash, Marek J. Druzdzel
Learning Causal Models That Make Correct Manipulation Predictions. NIPS Causality: Objectives and Assessment (2010)
Tomás Singliar, Denver Dash
Efficient Inference in Persistent Dynamic Bayesian Networks. UAI (2008)
Denver Dash, Marek J. Druzdzel
A note on the correctness of the causal ordering algorithm. Artif. Intell. 172 (15) (2008)
Tomás Singliar, Denver Dash
COD: Online Temporal Clustering for Outbreak Detection. AAAI (2007)
Senthilkumar G. Cheetancheri, John Mark Agosta, Denver Dash, Karl N. Levitt, Jeff Rowe, Eve M. Schooler
A distributed host-based worm detection system. LSAD@SIGCOMM (2006)
Denver Dash, Branislav Kveton, John Mark Agosta, Eve M. Schooler, Jaideep Chandrashekar, Abraham Bachrach, Alex Newman
When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions. AAAI (2006)
Branislav Kveton, Denver Dash
Automatic Excursion Detection in Manufacturing: Preliminary Results. FLAIRS Conference (2005)
Denver Dash
Restructuring Dynamic Causal Systems in Equilibrium. AISTATS (2005)
Denver Dash, Gregory F. Cooper
Model Averaging for Prediction with Discrete Bayesian Networks. J. Mach. Learn. Res. 5 (2004)
Gregory F. Cooper, Denver Dash, John Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner
Bayesian Biosurveillance of Disease Outbreaks. UAI (2004)
Denver Dash, Marek J. Druzdzel
Robust Independence Testing for Constraint-Based Learning of Causal Structure. UAI (2003)
Denver Dash, Gregory F. Cooper
Model Averaging with Bayesian Network Classifiers. AISTATS (2003)
Denver Dash, Gregory F. Cooper
Exact model averaging with naive Bayesian classifiers. ICML (2002)
Haiqin Wang, Denver Dash, Marek J. Druzdzel
A method for evaluating elicitation schemes for probabilistic models. IEEE Trans. Syst. Man Cybern. Part B 32 (1) (2002)
Haiqin Wang, Denver Dash, Marek J. Druzdzel
A Method for Evaluating Elicitation Schemes for Probabilities. FLAIRS Conference (2001)
Denver Dash, Marek J. Druzdzel
Caveats for Causal Reasoning with Equilibrium Models. ECSQARU (2001)
Denver Dash, Marek J. Druzdzel
A Hybrid Anytime Algorithm for the Construction of Causal Models From Sparse Data. UAI (1999)