IEEE

Causal Inference Framework Based on CNN-LSTM-AM-DID: The Impact of Establishing Digital Economy Innovation Development Pilot Zones on Enterprise Digitalization

Abstract: This study presents an innovative causal inference framework, CNN-LSTM-AM-DID, which integrates Convolutional Neural Networks (CNN), Long Short-Term Memory Networks (LSTM), Attention ...
IEEE

Few-Shot SAR Target Recognition via Causal Inference and Deep Metric Learning

Abstract: Deep learning, with large-scale annotated datasets, has demonstrated remarkable success in synthetic aperture radar automatic target recognition (SAR-ATR). However, the collecting of SAR ...
Frontiers

Integrative Causal Inference and Predictive Modeling Reveal the Iron-Related Gene SLC17A4 as a Key Biomarker in Chronic Rhinosinusitis

The First Affiliated Hospital of China Medical University, Shenyang, China The final, formatted version of the article will be published soon. Purpose:To investigate whether iron metabolism exerts a ...
Scientific Research Publishing

Linden, A., & Adams, J. L. (2011). Applying a Propensity Score-Based Weighting Model to Interrupted Time Series Data: Improving Causal Inference in Programme Evaluation ...

ABSTRACT: The objective of this study was to assess the contribution of insurance penetration to economic growth in the Democratic Republic of Congo (DRC) during the ...
GitHub

Causal Inference and Discovery in Python

Causal Inference and Discovery in Python helps you unlock the potential of causality. You’ll start with basic motivations behind causal thinking and a comprehensive introduction to Pearlian causal ...