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Found 5 papers, 2 papers with code
Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection
On the depression detection task, our method (F1 = 0. 975~0. 978) significantly outperforms traditional supervised learning paradigms, including feature engineering (F1 = 0. 760) and architecture engineering (F1 = 0. 756).
Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model
To prevent widespread consequences, platforms are eager to predict these videos' impact on viewers' mental health.
Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity
This incentivizes developing domain adaptation methods that leverage the knowledge in known domains (source) and adapt to new domains (target) with a different probability distribution.
TopicModel4J: A Java Package for Topic Models
Topic models provide a flexible and principled framework for exploring hidden structure in high-dimensional co-occurrence data and are commonly used natural language processing (NLP) of text.
Deep Learning for Information Systems Research
Related to this broader goal, this paper makes five timely contributions.
