no code implementations • 1 Jul 2021 • Renato L. F. Cunha, Lucas V. Real, Renan Souza, Bruno Silva, Marco A. S. Netto
Interactive computing notebooks, such as Jupyter notebooks, have become a popular tool for developing and improving data-driven models.
no code implementations • 15 Aug 2018 • Eduardo R. Rodrigues, Igor Oliveira, Renato L. F. Cunha, Marco A. S. Netto
Running high-resolution physical models is computationally expensive and essential for many disciplines.
1 code implementation • 17 Jul 2018 • Ana Paula Appel, Renato L. F. Cunha, Charu C. Aggarwal, Marcela Megumi Terakado
In this work, we consider the problem of combining link, content and temporal analysis for community detection and prediction in evolving networks.
no code implementations • 25 Jun 2018 • Igor Oliveira, Renato L. F. Cunha, Bruno Silva, Marco A. S. Netto
Yield forecast is essential to agriculture stakeholders and can be obtained with the use of machine learning models and data coming from multiple sources.
no code implementations • 12 Apr 2017 • Renato L. F. Cunha, Evandro Caldeira, Luciana Fujii
We conclude that tf-idf achieves better results than Word2Vec to model the dataset to feature vectors.