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python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
implementing » implemented (Expand Search)
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Table of the database statistical measures.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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102
Tweets information.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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103
Examples of tweets texts (Portuguese).
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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Methodological flowchart.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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Number of tweets collected per query and type.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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Examples of tweets texts (English).
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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107
Users information.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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108
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Data&Codes.zip
Published 2025“…</p><p dir="ltr">To facilitate the widespread use of the proposed framework, we have implemented it as the <b><i>ESLocalIndi</i></b> open-source package in Python, making it easily accessible to geographers. …”
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BSTPP: a python package for Bayesian spatiotemporal point processes
Published 2025“…However, they are sometimes neglected due to the difficulty of implementing them. There is a lack of packages with the ability to perform inference for these models, particularly in python. …”
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Code
Published 2025“…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …”
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Scripts, data and figures underpinning 'Towards the Creation of Legible Octilinear Power Grid Diagrams Using Mixed Integer Linear Programming'
Published 2024“…<p dir="ltr">These Python notebooks implement the techniques described in the paper "Towards the Creation of Legible Octilinear Power Grid Diagrams Using Mixed Integer Linear Programming".…”
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Code and data for reproducing the results in the original paper of DML-Geo
Published 2025“…<p dir="ltr">This asset provides all the code and data for reproducing the results (figures and statistics) in the original paper of DML-Geo</p><h2>Main Files:</h2><p dir="ltr"><b>main.ipynb</b>: the main notebook to generate all the figures and data presented in the paper</p><p dir="ltr"><b>data_generator.py</b>: used for generating synthetic datasets to validate the performance of different models</p><p dir="ltr"><b>dml_models.py</b>: Contains implementations of different Double Machine Learning variants used in this study.…”
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Efficient, Hierarchical, and Object-Oriented Electronic Structure Interfaces for Direct Nonadiabatic Dynamics Simulations
Published 2025“…We present a novel, flexible framework for electronic structure interfaces designed for nonadiabatic dynamics simulations, implemented in Python 3 using concepts of object-oriented programming. …”
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