no code implementations • 23 Jan 2024 • Ruixin Song, Gabriel Spadon, Ronald Pelot, Stan Matwin, Amilcar Soares
Along these lines, this research contributes to a better understanding of invasive species risk assessment.
no code implementations • 29 Oct 2023 • Gabriel Spadon, Jay Kumar, Derek Eden, Josh van Berkel, Tom Foster, Matthew Smith, Sarah Vela, Romina Gehrmann, Amilcar Soares, Ronan Fablet, Stan Matwin, Ronald Pelot
This study explores using AIS data to prevent vessel-to-whale collisions by forecasting long-term vessel trajectories from engineered AIS data sequences.
1 code implementation • 12 Jul 2022 • Martha Dais Ferreira, Gabriel Spadon, Amilcar Soares, Stan Matwin
To this end, we leverage the unsupervised nature of cluster analysis to label the trajectory geometry highlighting the changes in the vessel's moving pattern which tends to indicate fishing activity.
no code implementations • 1 Jun 2022 • Gabriel Spadon, Jose F. Rodrigues-Jr
Graphs have often been used to answer questions about the interaction between real-world entities by taking advantage of their capacity to represent complex topologies.
no code implementations • 24 Feb 2022 • Gabriel Spadon, Martha D. Ferreira, Amilcar Soares, Stan Matwin
The oceans are a source of an impressive mixture of complex data that could be used to uncover relationships yet to be discovered.
no code implementations • 31 Aug 2020 • Bruno Brandoli, Gabriel Spadon, Travis Esau, Patrick Hennessy, Andre C. P. L. Carvalho, Jose F. Rodrigues-Jr, Sihem Amer-Yahia
Pesticide application has been heavily used in the cultivation of major crops, contributing to the increase of crop production over the past decades.
1 code implementation • 28 Aug 2020 • Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, Jose F. Rodrigues-Jr, Jimeng Sun
Time-series forecasting is one of the most active research topics in artificial intelligence.
no code implementations • 10 Sep 2019 • Jose F. Rodrigues-Jr, Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia
Our results demonstrate significant improvements in automated medical prognosis, as measured with Recall@k. We summarize our experience as a set of relevant insights for the design of Deep Learning architectures.
no code implementations • 9 Aug 2019 • Gabriel Spadon, Andre C. P. L. F. de Carvalho, Jose F. Rodrigues-Jr, Luiz G. A. Alves
Here, we propose an alternative approach using machine learning and 22 urban indicators to predict the flow of people and reconstruct the intercity commuters network.
no code implementations • 21 Nov 2017 • Bruno B. Machado, Gabriel Spadon, Mauro S. Arruda, Wesley N. Goncalves, Andre C. P. L. F. Carvalho, Jose F. Rodrigues-Jr
However, their correct use depends on assessment methods that can accurately predict how well the pesticides' spraying covered the intended crop region.