Steven J. Phillips

American Museum of Natural History — United States

Environmental Science · Physical Sciences

20h-index50.3kcitations30works0.02yr avg
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Research Topics

Species Distribution and Climate Change(16), Ecology and Vegetation Dynamics Studies(10), Wildlife Ecology and Conservation(8), Data-Driven Disease Surveillance(3), Plant and animal studies(2)

Publications30 total

Opening the black box: an open‐source release of Maxent
Ecography·2017· 2.7k citedOpen Access
Supplement 1. R source code for the statistical methods described in this paper, with a short tutorial describing their use.
Figshare·2016Open Access
Point process models for presence‐only analysis
Methods in Ecology and Evolution·2015· 441 citedOpen Access
Shifts in Arctic vegetation and associated feedbacks under climate change
Nature Climate Change·2013· 805 cited
On estimating probability of presence from use–availability or presence–background data
Ecology·2013· 153 cited
The National Library of Medicine’s Disaster Information Management Research Center
Frontiers in Public Health·2013· 6 citedOpen Access
A statistical explanation of MaxEnt for ecologists
Diversity and Distributions·2010· 6.4k citedOpen Access
POC plots: calibrating species distribution models with presence‐only data
Ecology·2010· 185 cited
Sample selection bias and presence‐only distribution models: implications for background and pseudo‐absence data
Ecological Applications·2009· 2.9k citedOpen Access
Generative and Discriminative Learning with Unknown Labeling Bias
2008· 12 cited
Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
Ecography·2008· 6.6k citedOpen Access
Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
Ecography·2008· 443 cited
Transferability, sample selection bias and background data in presence‐only modelling: a response to Peterson et al. (2007)
Ecography·2008· 360 citedOpen Access
Transferability, sample selection bias and background data in presence-only modelling: a response to Peterson et al. (2007)
Ecography·2008· 38 cited
Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling
Journal of Machine Learning Research·2007· 206 cited
Novel methods improve prediction of species’ distributions from occurrence data
Ecography·2006· 9.0k citedOpen Access
Correcting sample selection bias in maximum entropy density estimation
2005· 205 cited
Maximum entropy modeling of species geographic distributions
Ecological Modelling·2005· 17.1k cited
Efficient Multiclass Implementations of L1-Regularized Maximum Entropy
arXiv (Cornell University)·2005· 5 citedOpen Access
Performance Guarantees for Regularized Maximum Entropy Density Estimation
Lecture notes in computer science·2004· 206 cited
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Frequent Co-authors

Miroslav Dudı́k(11), Robert E. Schapire(8), Jane Elith(7), Robert P. Anderson(3), Catherine H. Graham(2), Simon Ferrier(2), John R. Leathwick(2), Anthony Lehmann(2), Trevor Hastie(2), Anna R. Karlin(2), Prabhakar Raghavan(2), Antoine Guisan(1), Robert J. Hijmans(1), Falk Huettmann(1), Jin Li(1), Lúcia G. Lohmann(1), Bette A. Loiselle(1), Glenn Manion(1), Craig Moritz(1), Miguel Nakamura(1)