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Found 5 papers, 2 papers with code
Explainable Product Classification for Customs
The task of assigning internationally accepted commodity codes (aka HS codes) to traded goods is a critical function of customs offices.
Inferring Traffic Models in Terminal Airspace from Flight Tracks and Procedures
For each segment, a Gaussian mixture model is used to learn the deviations of aircraft trajectories from their procedures.
Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand
In this paper, we introduce the conditional approximate normalizing flow (CANF) to make probabilistic multi-step time-series forecasts when correlations are present over long time horizons.
Classification of Goods Using Text Descriptions With Sentences Retrieval
The task of assigning and validating internationally accepted commodity code (HS code) to traded goods is one of the critical functions at the customs office.
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering
While the rules are governed by interpretable parameters of the driver model, these parameters are learned online from driving demonstration data using particle filtering.
