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Models, learning algorithms and experiments of "Risk-based Calibration for Probabilistic Classifiers"
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Human Activity Recognition as a Streaming Time Series classification problem.
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This repository collects the material for the JAX courses given at BCAM on late 2022 - early 2023
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LICA is Lithion-ion cluster analysis code. It is a python wrapped c++ code to analyze trajectories of any particular atom from molecular dynamics simulations in many popular formats.
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In this work we have compared and analyzed the uncertainties introduced by different fire-spotting parametrizations in an operational wildfire simulator. To do this, we have reproduced the effects of a real wildfire occurred in Italy, and we have app
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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.
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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.
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Code developed by Xabier Benavides during his internship at BCAM.
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Source code for CTRW simulations for the paper SHOULD I STAY OR SHOULD I GO? ZERO-SIZE JUMPS IN RANDOM WALKS FOR LÉVY FLIGHTS