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V. Anne Smith
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2020 – today
- 2022
- [j7]Emiliano A. Videla Rodriguez, Fábio Pértille, Carlos Guerrero-Bosagna, John B. O. Mitchell, Per Jensen, V. Anne Smith:
Practical application of a Bayesian network approach to poultry epigenetics and stress. BMC Bioinform. 23(1): 261 (2022) - [j6]Edwin Hui, Richard Stafford, Iain M. Matthews, V. Anne Smith:
Bayesian networks as a novel tool to enhance interpretability and predictive power of ecological models. Ecol. Informatics 68: 101539 (2022)
2010 – 2019
- 2019
- [j5]Athanasios Vogogias, Jessie Kennedy, Daniel Archambault, Benjamin Bach, V. Anne Smith, Hannah Currant:
BayesPiles: Visualisation Support for Bayesian Network Structure Learning. ACM Trans. Intell. Syst. Technol. 10(1): 5:1-5:23 (2019) - 2016
- [c6]Athanasios Vogogias, Jessie Kennedy, Daniel Archambault, V. Anne Smith, Hannah Currant:
MLCut: Exploring Multi-Level Cuts in Dendrograms for Biological Data. CGVC 2016: 1-8 - 2014
- [c5]Marco Grzegorczyk, Andrej Aderhold, V. Anne Smith, Dirk Husmeier:
Inference of Circadian Regulatory Networks. IWBBIO 2014: 1001-1014 - 2013
- [c4]Andrej Aderhold, Dirk Husmeier, V. Anne Smith:
Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes. AISTATS 2013: 75-84 - 2012
- [j4]Andrej Aderhold, Dirk Husmeier, Jack J. Lennon, Colin M. Beale, V. Anne Smith:
Hierarchical Bayesian models in ecology: Reconstructing species interaction networks from non-homogeneous species abundance data. Ecol. Informatics 11: 55-64 (2012) - 2010
- [j3]Christoph Echtermeyer, Tom V. Smulders, V. Anne Smith:
Causal pattern recovery from neural spike train data using the Snap Shot Score. J. Comput. Neurosci. 29(1-2): 231-252 (2010) - [p1]V. Anne Smith:
Revealing Structure of Complex Biological Systems Using Bayesian Networks. Network Science 2010: 185-204
2000 – 2009
- 2008
- [c3]V. Anne Smith:
Evolving an Agent-Based Model to Probe Behavioral Rules in Flocks of Cowbirds. ALIFE 2008: 561-568 - 2006
- [j2]V. Anne Smith, Jing Yu, Tom V. Smulders, Alexander J. Hartemink, Erich D. Jarvis:
Computational Inference of Neural Information Flow Networks. PLoS Comput. Biol. 2(11) (2006) - 2004
- [j1]Jing Yu, V. Anne Smith, Paul P. Wang, Alexander J. Hartemink, Erich D. Jarvis:
Advances to Bayesian network inference for generating causal networks from observational biological data. Bioinform. 20(18): 3594-3603 (2004) - 2003
- [c2]V. Anne Smith, Erich D. Jarvis, Alexander J. Hartemink:
Influence of Network Topology and Data Collection on Network Inference. Pacific Symposium on Biocomputing 2003: 164-175 - 2002
- [c1]V. Anne Smith, Erich D. Jarvis, Alexander J. Hartemink:
Evaluating functional network inference using simulations of complex biological systems. ISMB 2002: 216-224
Coauthor Index
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