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ESGReveal: An LLM-based approach for extracting structured data from ESG reports
ESGReveal is an innovative method proposed for efficiently extracting and analyzing Environmental, Social, and Governance (ESG) data from corporate reports, catering to the critical need for reliable ESG information retrieval.
SleepEGAN: A GAN-enhanced Ensemble Deep Learning Model for Imbalanced Classification of Sleep Stages
Deep neural networks have played an important role in automatic sleep stage classification because of their strong representation and in-model feature transformation abilities.
Context-aware Ensemble of Multifaceted Factorization Models for Recommendation Prediction in Social Networks
This paper describes the solution of Shanda Innovations team to Task 1 of KDD-Cup 2012.
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