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A COMPARISON OF FORECASTING METHODS: FUNDAMENTALS, POLLING, PREDICTION MARKETS, AND EXPERTS.
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- Journal of Prediction Markets, 2015, v. 9, n. 2, p. 1, doi. 10.5750/jpm.v9i2.1048
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- Article
A statistical explanation of MaxEnt for ecologists.
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- Diversity & Distributions, 2011, v. 17, n. 1, p. 43, doi. 10.1111/j.1472-4642.2010.00725.x
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- Article
Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data.
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- Ecological Applications, 2009, v. 19, n. 1, p. 181, doi. 10.1890/07-2153.1
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- Article
Opening the black box: an open-source release of Maxent.
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- Ecography, 2017, v. 40, n. 7, p. 887, doi. 10.1111/ecog.03049
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- Article
Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation.
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- Ecography, 2008, v. 31, n. 2, p. 161, doi. 10.1111/j.0906-7590.2008.5203.x
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- Article
Novel methods improve prediction of species’ distributions from occurrence data.
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- Ecography, 2006, v. 29, n. 2, p. 129, doi. 10.1111/j.2006.0906-7590.04596.x
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- Article
Fairlearn: Assessing and Improving Fairness of AI Systems.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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- Article
A Reliable Effective Terascale Linear Learning System.
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- Journal of Machine Learning Research, 2014, v. 15, n. 3, p. 1111
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- Article
Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling.
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- Journal of Machine Learning Research, 2007, v. 8, n. 6, p. 1217
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- Article