Sparse Power-Law Network Model for Reliable Statistical Predictions Based on Sampled Data. [PDF]
Entropy (Basel), 2018 Kartun-Giles AP +4 more
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The stability of memristive multidirectional associative memory neural networks with time-varying delays in the leakage terms via sampled-data control. [PDF]
PLoS One, 2018 Wang W +7 more
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Recovering task fMRI signals from highly under-sampled data with low-rank and temporal subspace constraints. [PDF]
Neuroimage, 2018 Chiew M, Graedel NN, Miller KL.
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Peer effects in bedtime decisions among adolescents: a social network model with sampled data. [PDF]
Econom J, 2017 Liu X, Patacchini E, Rainone E.
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INFERENCE FOR SOCIAL NETWORK MODELS FROM EGOCENTRICALLY SAMPLED DATA, WITH APPLICATION TO UNDERSTANDING PERSISTENT RACIAL DISPARITIES IN HIV PREVALENCE IN THE US. [PDF]
Ann Appl Stat, 2017 Krivitsky PN, Morris M.
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Synchronization of generalized reaction-diffusion neural networks with time-varying delays based on general integral inequalities and sampled-data control approach. [PDF]
Cogn Neurodyn, 2017 Dharani S +3 more
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Image reconstructions from super-sampled data sets with resolution modeling in PET imaging. [PDF]
Med Phys, 2014 Li Y, Matej S, Metzler SD.
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Consensus of Nonlinear Complex Systems with Edge Betweenness Centrality Measure under Time-Varying Sampled-Data Protocol. [PDF]
ScientificWorldJournal, 2015 Park MJ, Kwon OM, Cha EJ.
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Classifying the Progression of Ductal Carcinoma from Single-Cell Sampled Data via Integer Linear Programming: A Case Study. [PDF]
IEEE/ACM Trans Comput Biol Bioinform, 2016 Catanzaro D +3 more
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A reweighted ℓ1-minimization based compressed sensing for the spectral estimation of heart rate variability using the unevenly sampled data. [PDF]
PLoS One, 2014 Chen SW, Chao SC.
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