most citedPrediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN

99 citations · 99 across the 2 of their papers we have counts for

collaborators

2 papers

cs.DC2025

FlashRecovery: Fast and Low-Cost Recovery from Failures for Large-Scale Training of LLMs

Haijun Zhang, Jinxiang Wang, Zhenhua Yu +20

Large language models (LLMs) have made a profound impact across various fields due to their advanced capabilities. However, training these models at unprecedented scales requires e…

cs.HC2022★ 99 cited

Prediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN

Kaining Mao, Wei Zhang, Deborah Baofeng Wang +9

Depression is increasingly impacting individuals both physically and psychologically worldwide. It has become a global major public health problem and attracts attention from vario…