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Software
Desmarais, P.
,
I. Macdonald
, and
G. Viger
,
Nebulosus Fishbowl
,
, 2012.
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Magazine Article
Castro, R.
,
M. J. Coates
,
R. D. Nowak
, and
B. Yu
,
"
Network tomography: recent developments pp. 499-517.
",
Statistical Science
, vol. 19, issue 3, pp. 499-517, 08/2004.
Abstract
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castro_StatSciMagazine04.pdf
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Conference Proceedings
Lam, N.
,
Z. Dziong
, and
L. G. Mason
,
"
Network capacity allocation in service overlay networks
",
International Teletraffic Congress (ITC)
, Ottawa, ON, Canada, June 2007.
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lam_ITC07.pdf
(207.46 KB)
Coates, M. J.
, and
R. D. Nowak
,
"
Network loss inference using unicast end-to-end measurement
",
ITC Conference on IP Traffic Modelling and Management
, Monterey, California, Sept. 2000.
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coates_ITC00.pdf
(130.93 KB)
Coates, M. J.
, and
R. D. Nowak
,
"
Network tomography for internal delay estimation
",
IEEE International Conference on Acoustics, Speech, and Signal Processing
, Salt Lake City, Utah, May 2001.
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coates_ICASSP01.pdf
(187.36 KB)
Kharratzadeh, M.
, and
T. Shultz
,
"
Neural-network modelling of Bayesian learning and inference
",
35th Annual Conference of the Cognitive Science Society
, Berlin, Germany, Cognitive Science Society, pp. 2686-2691, Aug 2013.
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Tsang, Y.
,
M. J. Coates
, and
R. D. Nowak
,
"
Nonparametric internet tomography
",
IEEE International Conference on Acoustics, Speech, and Signal Processing
, Orlando, Florida, May 2002.
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tsang_ICASSP02.pdf
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Conference Paper
Tsianos, K. I.
,
S. F. Lawlor
,
J. Y. Yu
, and
M. G. Rabbat
,
"
Networked optimization with adaptive communication
",
IEEE Global Conference on Signal and Information Processing
, Austin, TX, USA, 02/2014, 2013.
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Networked optimization with adaptive communication.pdf
(274.67 KB)
Regol, F.
,
S. Pal
, and
M. J. Coates
,
"
Node Copying for Protection Against Graph Neural Network Topology Attacks
",
Proc. IEEE Comput. Adv. in Multi-Sensor Adaptive Process.
, Guadeloupe, West Indies, Dec., 2019.
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2007.06704.pdf
(310.01 KB)
Pal, S.
,
S. Malekmohammadi
,
F. Regol
,
Y. Zhang
,
Y. Xu
, and
M. J. Coates
,
"
Non-Parametric Graph Learning for Bayesian Graph Neural Networks
",
Proc. Uncertainity in Artificial Intell.
, Virtual Conference, Aug., 2020.
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2006.13335.pdf
(796.91 KB)