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 ...
NextBigFutureOpinion

2026 is The year of the Singularity

2026 is highlighted as the year of the singularity with Elon Musk warning of underestimated impacts; conversations with him ...
GitHub

CausalInferenceLab/awesome-causal-inference-python

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IEEE

CausalSymptom: Learning Causal Disentangled Representation for Depression Severity Estimation on Transcribed Clinical Interviews

Abstract: Depression is one of the most prevalent mental disorders in the world. Although some researchers have applied deep learning to assess depression, understanding its pathogenesis remains ...