A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction.
Nguyen ThachPatrick HabeckerBergen JohnstonLillianna CervantesAnika EisenbraunAlex MasonKimberly TylerBilal KhanHau ChanPublished in: CoRR (2024)
Keyphrases
- short term
- tabular data
- long term
- load forecasting
- motion prediction
- short term prediction
- chaotic time series
- arima model
- cell suppression
- statistical disclosure control
- stock market
- forecasting model
- controlled tabular adjustment
- short term and long term
- wind speed
- short and long term
- prediction model
- long term memory
- neural network
- power generation
- differential privacy
- medium term