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Denver Dash
Denver Dash
Amazon Robotics AI
Verified email at amazon.com
Title
Cited by
Cited by
Year
A hybrid anytime algorithm for the constructiion of causal models from sparse data
D Dash, MJ Druzdzel
arXiv preprint arXiv:1301.6689, 2013
1492013
Bayesian biosurveillance of disease outbreaks
GF Cooper, D Dash, J Levander, WK Wong, W Hogan, M Wagner
arXiv preprint arXiv:1207.4122, 2012
1192012
Model averaging for prediction with discrete Bayesian networks
D Dash, GF Cooper
Journal of Machine Learning Research 5 (Sep), 1177-1203, 2004
1042004
When gossip is good: Distributed probabilistic inference for detection of slow network intrusions
D Dash, B Kveton, JM Agosta, E Schooler, J Chandrashekar, A Bachrach, ...
Proceedings of the national conference on Artificial Intelligence 21 (2), 1115, 2006
942006
Robust Independence Testing for Constraint-Based Learning of Causal Structure.
D Dash, MJ Druzdzel
UAI 3, 167-174, 2003
812003
Non-Boolean associative architectures based on nano-oscillators
SP Levitan, Y Fang, DH Dash, T Shibata, DE Nikonov, GI Bourianoff
2012 13th International Workshop on Cellular Nanoscale Networks and their …, 2012
722012
Restructuring dynamic causal systems in equilibrium
D Dash
International Workshop on Artificial Intelligence and Statistics, 81-88, 2005
592005
Scenecad: Predicting object alignments and layouts in rgb-d scans
A Avetisyan, T Khanova, C Choy, D Dash, A Dai, M Nießner
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
562020
Exact model averaging with naive Bayesian classifiers
D Dash, GF Cooper
ICML, 91-98, 2002
562002
A distributed host-based worm detection system
SG Cheetancheri, JM Agosta, DH Dash, KN Levitt, J Rowe, EM Schooler
Proceedings of the 2006 SIGCOMM workshop on Large-scale attack defense, 107-113, 2006
502006
Caveats for causal reasoning with equilibrium models
D Dash, M Druzdzel
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2001
452001
A method for evaluating elicitation schemes for probabilistic models
H Wang, D Dash, MJ Druzdzel
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 32 …, 2002
442002
Learning why things change: the difference-based causality learner
M Voortman, D Dash, MJ Druzdzel
arXiv preprint arXiv:1203.3525, 2012
422012
Evaluation of Bayesian network models for decision support
KW Przytula, D Dash
US Patent 7,650,272, 2010
412010
Evaluation of Bayesian networks used for diagnostics
KW Przytula, D Dash, D Thompson
IEEE Aerospace Conference, Big Sky, Montana, 2003
402003
Machine learning algorithms for event detection
D Margineantu, WK Wong, D Dash
Machine Learning 79 (3), 257, 2010
272010
Estimation of colchicine in tubers of Gloriosa superba L. originated from different agroclimatic zones of Odisha, India
UC Basak, D Dash, AK Mahapatra
International Journal of Pharmacognosy and Phytochemical Research 4 (3), 157-161, 2012
242012
Systems and methods for mapping
MC Falconer, D Choudhury, R Arefi, DJ Dahle, DH Dash, VS Somayazulu, ...
US Patent 10,026,001, 2018
232018
Use of multiple data streams to conduct Bayesian biologic surveillance
WK Wong, G Cooper, D Dash, J Levander, J Dowling, W Hogan, ...
Morbidity and Mortality Weekly Report 54 (suppl), 63-69, 2005
222005
Non-Boolean associative processing: Circuits, system architecture, and algorithms
Y Fang, CN Gnegy, T Shibata, D Dash, DM Chiarulli, SP Levitan
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 1 …, 2015
202015
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Articles 1–20