01이 칸의 논문
- Interpretable Recommendations and Parameter-Grounded LLM Explanations with Multigraph Attention
- Improving Students’ Argumentation Skills Using Dynamic Machine-Learning–Based Modeling
- Unifying Algorithmic and Theoretical Perspectives: Emotions in Online Reviews and Sales
- The Path of the Righteous: Using Trace Data to Understand Fraud Decisions in Real Time
- Finding People with Emotional Distress in Online Social Media: A Design Combining Machine Learning and Rule-Based Classification
- Text Analytics to Support Sense-Making in Social Media: A Language-Action Perspective
- A Video-Based Screening System for Automated Risk Assessment Using Nuanced Facial Features
02같은 주제, 다른 방법
- SUVA: A Probabilistic Framework for Auditing LLMs with an Application to Social Preferences
- Learning from Earnings Calls: Graph-Based Conversational Modeling for Financial Prediction
- Leveraging Multiview Data Through Discrete and Regularized Deep Learning for Dynamic Financial Risk Prediction
- Forget Me If You Can: Auditing User Data Revocation in Recommendation Systems
- Align Generative Artificial Intelligence with Human Preferences: A Novel Large Language Model Fine-Tuning Method for Online Review Management
- From Lexicons to Large Language Models: A Holistic Evaluation of Psychometric Text Analysis in Social Science Research
- Predicting Consumer In-Store Purchase Through Real-Time Video Analytics: An Advanced Computer Vision and Deep Learning Approach
- Generative AI as an Information Intermediary: A Novel Deep Learning Method for Financial Distress Prediction
- Protecting the Linked Artificial Intelligence Repositories on Open Source Software Platforms: A Graph Self-Supervised Learning Approach
- Predicting Instructor Performance in Online Education: An Interpretable Hierarchical Transformer with Contextual Attention