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Articles: 2'506'133
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27 April 2024
 
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Results 1 to 20 of 22 for query "S. Tartakovsky". (0.00 sec.)

[    1    2    ]   Next

1.
The Array of Long Baseline Antennas for Taking Radio Observations from the Sub-Antarctic
H. C. Chiang; T. Dyson; E. Egan; S. Eyono; N. Ghazi; J. Hickish; J. M. Jauregui-Garcia; V. Manukha; T. Moso; J. Peterson; L. Philip; J. L. Sievers; S. Tartakovsky;
27 Aug 2020
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2.
Asymptotic Optimality in Bayesian Change-Point Detection Problems Under Global False Alarm Probability Constraint
Alexander G. Tartakovsky;
16 Sep 2006
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3.
Nearly Optimal Change-Point Detection with an Application to Cybersecurity
Aleksey S. Polunchenko; Alexander G. Tartakovsky; Nitis Mukhopadhyay;
13 Feb 2012
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4.
Optimal Design and Analysis of the Exponentially Weighted Moving Average Chart for Exponential Data
Aleksey S. Polunchenko; Grigory Sokolov; Alexander G. Tartakovsky;
26 Jul 2013
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5.
On Optimality of the Shiryaev-Roberts Procedure for Detecting Changes in Distributions
Aleksey S. Polunchenko; Alexander G. Tartakovsky;
22 Apr 2009
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6.
Impact of Airways Geometry on Transport of Gases to Blood
Ali Saab; Leila Issa; Salah Zeineddine; Daniel M. Tartakovsky; Issam Lakkis;
15 Nov 2021
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7.
A Numerical Approach to Performance Analysis of Quickest Change-Point Detection Procedures
George V. Moustakides; Aleksey S. Polunchenko; Alexander G. Tartakovsky;
21 Jul 2009
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8.
Physics-Informed Neural Network Method for Parabolic Differential Equations with Sharply Perturbed Initial Conditions
Yifei Zong; QiZhi He; Alexandre M. Tartakovsky;
18 Aug 2022
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9.
Radio-Frequency Interference at the McGill Arctic Research Station
T. Dyson; H. C. Chiang; E. Egan; N. Ghazi; T. Menard; R. A. Monsalve; T. Moso; J. Peterson; J. L. Sievers; S. Tartakovsky;
11 Dec 2020
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10.
A New Approach For Learning Coarse-Grained Potentials with Application to Immiscible Fluids
Peiyuan Gao; Xiu Yang; Alexandre M. Tartakovsky;
14 Jul 2019
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11.
Approximate Bayesian Model Inversion for PDEs with Heterogeneous and State-Dependent Coefficients
David A. Barajas-Solano; Alexandre M. Tartakovsky;
18 Feb 2019
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12.
Causality and Bayesian network PDEs for multiscale representations of porous media
Kimoon Um; Eric Joseph Hall; Markos A. Katsoulakis; Daniel M. Tartakovsky;
6 Jan 2019
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13.
Asymptotic Exponentiality of the First Exit Time of the Shiryaev-Roberts Diffusion with Constant Positive Drift
Aleksey S. Polunchenko;
6 Mar 2017
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14.
Modeling Temporal Activity Patterns in Dynamic Social Networks
Vasanthan Raghavan; Greg Ver Steeg; Aram Galstyan; Alexander G. Tartakovsky;
9 May 2013
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15.
Limitations on the number of plasmons in nanoparticles
I.A. Fyodorov; V.M. Parfenyev; G.T. Tartakovsky; S.S. Vergeles; A.K. Sarychev;
4 Aug 2013
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16.
Detecting an Intermittent Change of Unknown Duration
Grigory Sokolov; Valentin S. Spivak; Alexander G. Tartakovsky;
31 Oct 2022
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17.
Mutual Information for Explainable Deep Learning of Multiscale Systems
Søren Taverniers; Eric J. Hall; Markos A. Katsoulakis; Daniel M. Tartakovsky;
7 Sep 2020
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18.
State-of-the-Art in Sequential Change-Point Detection
Aleksey S. Polunchenko; Alexander G. Tartakovsky;
13 Sep 2011
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19.
Third-order Asymptotic Optimality of the Generalized Shiryaev-Roberts Changepoint Detection Procedures
Alexander G. Tartakovsky; Moshe Pollak; Aleksey S. Polunchenko;
7 May 2010
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20.
Numerical Comparison of Cusum and Shiryaev-Roberts Procedures for Detecting Changes in Distributions
George V. Moustakides; Aleksey S. Polunchenko; Alexander G. Tartakovsky;
28 Aug 2009
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