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In this work we have developed a procedure to predict fuel types for wildfires simulations. The procedure consists on the pre-processing of satellite imagery, its labeling and the prediction for each pixel with a neural network.

Time Series Classifier Recommendation

The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.

Source code for CTRW simulations for the paper SHOULD I STAY OR SHOULD I GO? ZERO-SIZE JUMPS IN RANDOM WALKS FOR LÉVY FLIGHTS

This software library implements the federated decentralized version of the risk-based calibration algorithm for learning probabilistic classifiers such as naïve Bayes, quadratic discriminant analysis and logistic regression

Models, learning algorithms and experiments of "Risk-based Calibration for Probabilistic Classifiers"