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Giuseppe Vinci
Giuseppe Vinci
Assistant Professor, ACMS, University of Notre Dame
Verified email at nd.edu - Homepage
Title
Cited by
Cited by
Year
Adjusted regularization in latent graphical models: Application to multiple-neuron spike count data
G Vinci, V Ventura, MA Smith, RE Kass
The annals of applied statistics 12 (2), 1068, 2018
242018
Separating spike count correlation from firing rate correlation
G Vinci, V Ventura, MA Smith, RE Kass
Neural computation 28 (5), 849-881, 2016
242016
Graph quilting: graphical model selection from partially observed covariances
G Vinci, G Dasarathy, GI Allen
arXiv preprint arXiv:1912.05573, 2019
182019
Adjusted regularization of cortical covariance
G Vinci, V Ventura, MA Smith, RE Kass
Journal of computational neuroscience 45, 83-101, 2018
112018
Correlation imputation for single cell RNA-seq
L Gan, G Vinci, G Allen
Journal of Computational Biology, 2022
62022
Summary and discussion of: Brownian Distance covariance
B Cowley, G Vinci
Statistics Journal Club 36, 825, 2014
62014
Correlation imputation in single cell RNA-seq using auxiliary information and ensemble learning
L Gan, G Vinci, GI Allen
Proceedings of the 11th ACM International Conference on Bioinformatics …, 2020
52020
Automated continuous fields prediction from Landsat time series: application to fractional impervious cover
CR Hakkenberg, MP Dannenberg, C Song, G Vinci
IEEE Geoscience and Remote Sensing Letters 17 (1), 132-136, 2019
52019
Estimating the distribution of galaxy morphologies on a continuous space
G Vinci, P Freeman, J Newman, L Wasserman, C Genovese
Proceedings of the International Astronomical Union 10 (S306), 68-71, 2014
42014
Neuronal functional connectivity graph estimation with the R package neurofuncon
LM Beede, G Vinci
arXiv preprint arXiv:2402.05903, 2024
2024
Covariance matrix completion via auxiliary information
J Steneman, G Vinci
arXiv preprint arXiv:2402.05767, 2024
2024
Neuronal functional connectivity graph estimation with the R package neurofuncon
L Miako Beede, G Vinci
arXiv e-prints, arXiv: 2402.05903, 2024
2024
Linked factor analysis
G Vinci
arXiv preprint arXiv:2401.02953, 2024
2024
Forensic Science and How Statistics Can Help It: Evidence, Hypothesis Testing, and Graphical Models
X Xu, G Vinci
arXiv https://arxiv.org/abs/2312.17735, 2023
2023
Spiral-Elliptical automated galaxy morphology classification from telescope images
M Baumstark, G Vinci
https://arxiv.org/abs/2310.07740, 2023
2023
Unsupervised Learning
G Vinci
Statistical Methods in Epilepsy, 2023
2023
GRAPH QUILTING: GRAPHICAL MODEL SELECTION FROM PARTIALLY OBSERVED COVARIANCES BY GIUSEPPE VINCI, GAUTAM DASARATHY GENEVERA I. ALLEN
G VINCI
arXiv preprint arXiv:1912.05573, 2019
2019
Sequential Monte Carlo Method for Bayesian Multiple Testing of Pairwise Interactions among Large Number of Neurons
B Liu, G Vinci, AC Snyder, RE Kass
2018 14th International Conference on Natural Computation, Fuzzy Systems and …, 2018
2018
A Sequential Scheme for Large Scale Bayesian Multiple Testing
B Liu, G Vinci, AC Snyder, RE Kass
arXiv preprint arXiv:1702.05546, 2017
2017
ADJUSTED REGULARIZATION IN LATENT GRAPHICAL MODELS: APPLICATION TO MULTIPLE-NEURON SPIKE COUNT DATA BY GIUSEPPE VINCI, VALÉRIE VENTURA MATTHEW A. SMITH, AND ROBERT E. KASS
G VINCI
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