V. Anne Smith

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 4

Top Topics

Regulatory Networks

Biological Data

Hierarchical Bayesian

Bayesian Network Structure

Top Venues

Publications

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) (2022)
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 (2022)
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) (2019)
Athanasios Vogogias, Jessie Kennedy, Daniel Archambault, V. Anne Smith, Hannah Currant
MLCut: Exploring Multi-Level Cuts in Dendrograms for Biological Data. CGVC (2016)
Marco Grzegorczyk, Andrej Aderhold, V. Anne Smith, Dirk Husmeier
Inference of Circadian Regulatory Networks. IWBBIO (2014)
Andrej Aderhold, Dirk Husmeier, V. Anne Smith
Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes. AISTATS (2013)
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 (2012)
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) (2010)
V. Anne Smith
Evolving an Agent-Based Model to Probe Behavioral Rules in Flocks of Cowbirds. ALIFE (2008)
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)
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) (2004)
V. Anne Smith, Erich D. Jarvis, Alexander J. Hartemink
Influence of Network Topology and Data Collection on Network Inference. Pacific Symposium on Biocomputing (2003)
V. Anne Smith, Erich D. Jarvis, Alexander J. Hartemink
Evaluating functional network inference using simulations of complex biological systems. ISMB (2002)