Plotting time: On the usage of CNNs for time series classification

no code implementations • 8 Feb 2021 • Nuno M. Rodrigues, João E. Batista, Leonardo Trujillo, Bernardo Duarte, Mario Giacobini, Leonardo Vanneschi, Sara Silva

We present a novel approach for time series classification where we represent time series data as plot images and feed them to a simple CNN, outperforming several state-of-the-art methods.

Classification General Classification +3

Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP

1 code implementation • 31 Jan 2020 • João E. Batista, Sara Silva

One problem found when working with satellite images is the radiometric variations across the image and different images.

Ensemble Genetic Programming

1 code implementation • 21 Jan 2020 • Nuno M. Rodrigues, João E. Batista, Sara Silva

Ensemble learning is a powerful paradigm that has been usedin the top state-of-the-art machine learning methods like Random Forestsand XGBoost.

Binary Classification Ensemble Learning