01이 칸의 논문
- 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
- Interpretable Recommendations and Parameter-Grounded LLM Explanations with Multigraph Attention
- 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
- Post-Earnings-Announcement Drift Prediction: Leveraging Postevent Investor Responses with Multitask Learning
- Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model
- Automating in High-Expertise, Low-Label Environments: Evidence-Based Medicine by Expert-Augmented Few-Shot Learning
- Different but the Same? An Event-Driven Approach to Determine Probabilities of Data Duplication
- A Deep Learning Approach for Predicting FDA’s 510(k) Medical Device Recalls Using Device Citation Relationships
- Mitigating Bias in Hate Speech Detection With a Small Number of Expert Annotations: A Prompt-Based Learning Approach
- How a Rotten Apple May Spoil the Barrel: Corporate Fraud Detection via Dynamic Business Networks
- Predicting Consultation Success in Online Health Platforms Using Dynamic Knowledge Networks and Multimodal Data Fusion
- Symptoms and Their Temporal Distributions: An Interpretable AI Approach for Depression Detection in Social Media
- Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach
- KETCH: A Knowledge-Enhanced Transformer-Based Approach to Suicidal Ideation Detection from Social Media Content
- Improving Students’ Argumentation Skills Using Dynamic Machine-Learning–Based Modeling
- Creating Proactive Cyber Threat Intelligence with Hacker Exploit Labels: A Deep Transfer Learning Approach
- Background Music Recommendation on Short Video Sharing Platforms
- An Explainable Artificial Intelligence Approach Using Graph Learning to Predict Intensive Care Unit Length of Stay
- Customer Engagement Prediction on Social Media: A Graph Neural Network Method
- HyperCARS: Using Hyperbolic Embeddings for Generating Hierarchical Contextual Situations in Context-Aware Recommender Systems
- Guided Diverse Concept Miner (GDCM): Uncovering Relevant Constructs for Managerial Insights from Text
- Customer Acquisition via Explainable Deep Reinforcement Learning
- Attending to Customer Attention: A Novel Deep Learning Method for Leveraging Multimodal Online Reviews to Enhance Sales Prediction
02같은 주제, 다른 방법
- SUVA: A Probabilistic Framework for Auditing LLMs with an Application to Social Preferences
- Quality Control for Crowd Workers and for Language Models: A Framework for Free-Text Response Evaluation with No Ground Truth
- Data Valuation for Vertical Federated Learning: A Model-Free and Privacy-Preserving Method
- TM-OKC: An Unsupervised Topic Model for Text in Online Knowledge Communities
- Unifying Algorithmic and Theoretical Perspectives: Emotions in Online Reviews and Sales
- Extracting Actionable Insights from Text Data: A Stable Topic Model Approach
- Augmenting Social Bot Detection with Crowd-Generated Labels
- The Path of the Righteous: Using Trace Data to Understand Fraud Decisions in Real Time
- Discovering Emerging Threats in the Hacker Community: A Nonparametric Emerging Topic Detection Framework
- Know Thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes