Why marketing mix modeling is still hard to get right

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...
GitHub

Hy 2 DL: Hydrological modeling using Deep Learning methods

Hy 2 DL is a python library to create hydrological models for rainfall-runoff prediction using deep learning methods. The repository includes implementations with Large-Sample Hydrology datasets such ...
IEEE

Robust Geometric Model Estimation With Marginal Enhancement and Threshold-Model Co-Optimization

Abstract: Robust geometric model estimation is fundamental to multimodal remote sensing image matching for cross-modal registration, 3D reconstruction, and pose estimation. However, it remains ...
IEEE

MSCT: Addressing Time-Varying Confounding Bias With Marginal Structural Causal Transformer for Counterfactual Post-Crash Traffic Prediction

Abstract: Traffic crashes potentially lead to significant fatalities and injuries, in addition to causing major disruptions to traffic efficiency and substantial economic burdens. Accurate post-crash ...