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Found 3 papers, 1 papers with code
Qsnail: A Questionnaire Dataset for Sequential Question Generation
Questionnaires entail a series of questions that must conform to intricate constraints involving the questions, options, and overall structure.
Deep Double-Side Learning Ensemble Model for Few-Shot Parkinson Speech Recognition
To solve these two problems, based on the existing Parkinson speech feature data set, a deep double-side learning ensemble model is designed in this paper that can reconstruct speech features and samples deeply and simultaneously.
Hybrid Embedded Deep Stacked Sparse Autoencoder with w_LPPD SVM Ensemble
For the issue that class representation ability of abstract information is limited by small sample problem, a feature fusion strategy has been designed aiming to combining abstract information learned by HFESAE with original feature and obtain hybrid features for feature reduction.
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