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2020 – today
- 2020
[c20]Armen Avetisyan, Tatiana Khanova, Christopher B. Choy, Denver Dash, Angela Dai, Matthias Nießner:
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans. ECCV (22) 2020: 596-612- [i6]Armen Avetisyan, Tatiana Khanova, Christopher B. Choy, Denver Dash, Angela Dai, Matthias Nießner:
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans. CoRR abs/2003.12622 (2020)
2010 – 2019
- 2015
- [c19]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: 45 - 2014
- [c18]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: 183-190 - 2013
- [c17]Denver Dash, Mark Voortman, Martijn de Jongh:
Sequences of Mechanisms for Causal Reasoning in Artificial Intelligence. IJCAI 2013: 839-845 - [i5]Denver Dash, Marek J. Druzdzel:
A Hybrid Anytime Algorithm for the Constructiion of Causal Models From Sparse Data. CoRR abs/1301.6689 (2013) - 2012
- [i4]Mark Voortman, Denver Dash, Marek J. Druzdzel:
Learning Why Things Change: The Difference-Based Causality Learner. CoRR abs/1203.3525 (2012) - [i3]Tomás Singliar, Denver Dash:
Efficient inference in persistent Dynamic Bayesian Networks. CoRR abs/1206.3289 (2012) - [i2]Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner:
Bayesian Biosurveillance of Disease Outbreaks. CoRR abs/1207.4122 (2012) - [i1]Denver Dash, Marek J. Druzdzel:
A Robust Independence Test for Constraint-Based Learning of Causal Structure. CoRR abs/1212.2464 (2012) - 2010
- [j4]Dragos D. Margineantu, Weng-Keen Wong, Denver Dash:
Machine learning algorithms for event detection. Mach. Learn. 79(3): 257-259 (2010) - [c16]Anton Chechetka, Denver Dash, Matthai Philipose:
Relational Learning for Collective Classification of Entities in Images. StarAI@AAAI 2010 - [c15]Mark Voortman, Denver Dash, Marek J. Druzdzel:
Learning Why Things Change: The Difference-Based Causality Learner. UAI 2010: 641-650 - [c14]Mark Voortman, Denver Dash, Marek J. Druzdzel:
Learning Causal Models That Make Correct Manipulation Predictions. NIPS Causality: Objectives and Assessment 2010: 257-266
2000 – 2009
- 2008
- [j3]Denver Dash, Marek J. Druzdzel
:
A note on the correctness of the causal ordering algorithm. Artif. Intell. 172(15): 1800-1808 (2008) - [c13]Tomás Singliar, Denver Dash:
Efficient Inference in Persistent Dynamic Bayesian Networks. UAI 2008: 494-502 - 2007
- [c12]Tomás Singliar, Denver Dash:
COD: Online Temporal Clustering for Outbreak Detection. AAAI 2007: 633-638 - 2006
- [c11]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: 1115-1122 - [c10]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: 107-113 - 2005
- [c9]Denver Dash:
Restructuring Dynamic Causal Systems in Equilibrium. AISTATS 2005: 81-88 - [c8]Branislav Kveton, Denver Dash:
Automatic Excursion Detection in Manufacturing: Preliminary Results. FLAIRS 2005: 375-380 - 2004
- [j2]Denver Dash, Gregory F. Cooper:
Model Averaging for Prediction with Discrete Bayesian Networks. J. Mach. Learn. Res. 5: 1177-1203 (2004) - [c7]Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner:
Bayesian Biosurveillance of Disease Outbreaks. UAI 2004: 94-103 - 2003
- [c6]Denver Dash, Gregory F. Cooper:
Model Averaging with Bayesian Network Classifiers. AISTATS 2003: 72-79 - [c5]Denver Dash, Marek J. Druzdzel:
Robust Independence Testing for Constraint-Based Learning of Causal Structure. UAI 2003: 167-174 - 2002
- [j1]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): 38-43 (2002) - [c4]Denver Dash, Gregory F. Cooper:
Exact model averaging with naive Bayesian classifiers. ICML 2002: 91-98 - 2001
- [c3]Denver Dash, Marek J. Druzdzel:
Caveats for Causal Reasoning with Equilibrium Models. ECSQARU 2001: 192-203 - [c2]Haiqin Wang, Denver Dash, Marek J. Druzdzel:
A Method for Evaluating Elicitation Schemes for Probabilities. FLAIRS 2001: 607-612
1990 – 1999
- 1999
- [c1]Denver Dash, Marek J. Druzdzel:
A Hybrid Anytime Algorithm for the Construction of Causal Models From Sparse Data. UAI 1999: 142-149
Coauthor Index
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