Denver Dash

30 papers A* 5A 8C 1Misc 2Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2020 — conf
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans.
ECCV (22)
Armen Avetisyan, Tatiana Khanova, Christopher B. Choy, Denver Dash, Angela Dai, Matthias Nießner
2020 J jnl
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans.
CoRR
Armen Avetisyan, Tatiana Khanova, Christopher B. Choy, Denver Dash, Angela Dai, Matthias Nießner
2015 A* conf
Opportunities and Challenges of Industry-Academic Collaborations in Multimedia Research.
ACM Multimedia
Shih-Fu Chang, Matthew Cooper, Denver Dash, Funda Kivran-Swaine, Jia Li, David A. Shamma
2014 A conf
Physical querying with multi-modal sensing.
WACV
Iljoo Baek, Taylor Stine, Denver Dash, Fanyi Xiao, Yaser Sheikh, Yair Movshovitz-Attias, Mei Chen, Martial Hebert, Takeo Kanade
2013 J jnl
A Hybrid Anytime Algorithm for the Constructiion of Causal Models From Sparse Data
CoRR
Denver Dash, Marek J. Druzdzel
2013 A* conf
Sequences of Mechanisms for Causal Reasoning in Artificial Intelligence.
IJCAI
Denver Dash, Mark Voortman, Martijn de Jongh
2012 J jnl
A Robust Independence Test for Constraint-Based Learning of Causal Structure
CoRR
Denver Dash, Marek J. Druzdzel
2012 J jnl
Bayesian Biosurveillance of Disease Outbreaks
CoRR
Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner
2012 J jnl
Efficient inference in persistent Dynamic Bayesian Networks
CoRR
Tomás Singliar, Denver Dash
2012 J jnl
Learning Why Things Change: The Difference-Based Causality Learner
CoRR
Mark Voortman, Denver Dash, Marek J. Druzdzel
2010 — conf
Learning Causal Models That Make Correct Manipulation Predictions.
NIPS Causality: Objectives and Assessment
Mark Voortman, Denver Dash, Marek J. Druzdzel
2010 A conf
Learning Why Things Change: The Difference-Based Causality Learner.
UAI
Mark Voortman, Denver Dash, Marek J. Druzdzel
2010 J jnl
Machine learning algorithms for event detection.
Mach. Learn.
Dragos D. Margineantu, Weng-Keen Wong, Denver Dash
2010 — conf
Relational Learning for Collective Classification of Entities in Images.
StarAI@AAAI
Anton Chechetka, Denver Dash, Matthai Philipose
2008 J jnl
A note on the correctness of the causal ordering algorithm.
Artif. Intell.
Denver Dash, Marek J. Druzdzel
2008 A conf
Efficient Inference in Persistent Dynamic Bayesian Networks.
UAI
Tomás Singliar, Denver Dash
2007 A* conf
COD: Online Temporal Clustering for Outbreak Detection.
AAAI
Tomás Singliar, Denver Dash
2006 — conf
A distributed host-based worm detection system.
LSAD@SIGCOMM
Senthilkumar G. Cheetancheri, John Mark Agosta, Denver Dash, Karl N. Levitt, Jeff Rowe, Eve M. Schooler
2006 A* conf
When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions.
AAAI
Denver Dash, Branislav Kveton, John Mark Agosta, Eve M. Schooler, Jaideep Chandrashekar, Abraham Bachrach, Alex Newman
2005 Misc conf
Automatic Excursion Detection in Manufacturing: Preliminary Results.
FLAIRS
Branislav Kveton, Denver Dash
2005 A conf
Restructuring Dynamic Causal Systems in Equilibrium.
AISTATS
Denver Dash
2004 A conf
Bayesian Biosurveillance of Disease Outbreaks.
UAI
Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner
2004 J jnl
Model Averaging for Prediction with Discrete Bayesian Networks.
J. Mach. Learn. Res.
Denver Dash, Gregory F. Cooper
2003 A conf
Model Averaging with Bayesian Network Classifiers.
AISTATS
Denver Dash, Gregory F. Cooper
2003 A conf
Robust Independence Testing for Constraint-Based Learning of Causal Structure.
UAI
Denver Dash, Marek J. Druzdzel
2002 J jnl
A method for evaluating elicitation schemes for probabilistic models.
IEEE Trans. Syst. Man Cybern. Part B
Haiqin Wang, Denver Dash, Marek J. Druzdzel
2002 A* conf
Exact model averaging with naive Bayesian classifiers.
ICML
Denver Dash, Gregory F. Cooper
2001 Misc conf
A Method for Evaluating Elicitation Schemes for Probabilities.
FLAIRS
Haiqin Wang, Denver Dash, Marek J. Druzdzel
2001 C conf
Caveats for Causal Reasoning with Equilibrium Models.
ECSQARU
Denver Dash, Marek J. Druzdzel
1999 A conf
A Hybrid Anytime Algorithm for the Construction of Causal Models From Sparse Data.
UAI
Denver Dash, Marek J. Druzdzel