Previsões

ID

Idioma

Nome do modelo

Autor

Repositório

Descrição

930

Prophet R Example

test for sprint 2025 preds of the Prophet model in DF in R

704

Model 1 - Weekly and yearly (iid) components

This upload represents the epidemic prediction for validation test 2 in the state MG.

656

infodengue_sprint_24_25_hybrid_CNN_LSTM_ensemble_model

infodengue_sprint_24_25_hybrid_CNN_LSTM_ensemble_model Prediction on SP_info_dengue_test_2

221

LSTM model for Infodengue Sprint

Predictions for 2024 in AM using the comb_att_n architecture

786

LSTM model for Infodengue Sprint

Predictions for 2024 in RS using the baseline architecture

748

Model 2 - Weekly and yearly (rw1) components

This upload represents the epidemic prediction for validation test 2 in the state PE.

268

Model 2 - Weekly and yearly (rw1) components

The model is founded on a structural decomposition designed for modeling counting series, employing a Poisson distribution. The log intensity is defined by the sum of weekly and yearly components, where the first one is defined as a AR(1) process and the last one follows a RW(1) process.

204

Model 2 - Weekly and yearly (rw1) components

The model is founded on a structural decomposition designed for modeling counting series, employing a Poisson distribution. The log intensity is defined by the sum of weekly and yearly components, where the first one is defined as a AR(1) process and the last one is assumed to be iid.

194

Model 1 - Weekly and yearly (iid) components

The model is founded on a structural decomposition designed for modeling counting series, employing a Poisson distribution. The log intensity is defined by the sum of weekly and yearly components, where the first one is defined as a AR(1) process and the last one is assumed to be iid.

176

LSTM model with PCA and vaiance threshold

first test preds of the LSTM model in AM