01이 칸의 논문
- Forget Me If You Can: Auditing User Data Revocation in Recommendation Systems
- Protecting the Linked Artificial Intelligence Repositories on Open Source Software Platforms: A Graph Self-Supervised Learning Approach
- Automating in High-Expertise, Low-Label Environments: Evidence-Based Medicine by Expert-Augmented Few-Shot Learning
- A Deep Learning Approach for Predicting FDA’s 510(k) Medical Device Recalls Using Device Citation Relationships
- Data Valuation for Vertical Federated Learning: A Model-Free and Privacy-Preserving Method
- How a Rotten Apple May Spoil the Barrel: Corporate Fraud Detection via Dynamic Business Networks
- Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach
- Creating Proactive Cyber Threat Intelligence with Hacker Exploit Labels: A Deep Transfer Learning Approach
- Unlocking the Power of Voice for Financial Risk Prediction: A Theory-Driven Deep Learning Design Approach
- Motion Sensor–Based Fall Prevention for Senior Care: A Hidden Markov Model with Generative Adversarial Network Approach
- ROLEX: A Novel Method for Interpretable Machine Learning Using Robust Local Explanations
- Unbox the Black-Box: Predict and Interpret YouTube Viewership Using Deep Learning
- SocioLink: Leveraging Relational Information in Knowledge Graphs for Startup Recommendations
- Getting Personal: A Deep Learning Artifact for Text-Based Measurement of Personality
- Linking Exploits from the Dark Web to Known Vulnerabilities for Proactive Cyber Threat Intelligence: An Attention-based Deep Structured Semantic Model
- Cross-Lingual Cybersecurity Analytics in the International Dark Web with Adversarial Deep Representation Learning
- Augmenting Social Bot Detection with Crowd-Generated Labels
- Wearable Sensor-Based Chronic Condition Severity Assessment: An Adversarial Attention-Based Deep Multisource Multitask Learning Approach
- Assessing and Enhancing Adversarial Robustness of Predictive Analytics: An Empirically Tested Design Framework
- Discovering Emerging Threats in the Hacker Community: A Nonparametric Emerging Topic Detection Framework
- Fall Detection with Wearable Sensors: A Hierarchical Attention-based Convolutional Neural Network Approach
- Unveiling the Hidden Truth of Drug Addiction: A Social Media Approach Using Similarity Network-Based Deep Learning
- A Deep Learning Approach for Recognizing Activity of Daily Living (ADL) for Senior Care: Exploiting Interaction Dependency and Temporal Patterns
- Dynamic, Multidimensional, and Skillset-Specific Reputation Systems for Online Work
- Finding People with Emotional Distress in Online Social Media: A Design Combining Machine Learning and Rule-Based Classification
- Human Identification for Activities of Daily Living: A Deep Transfer Learning Approach
- Text Analytics to Support Sense-Making in Social Media: A Language-Action Perspective
- Healthcare Predictive Analytics for Risk Profiling in Chronic Care: A Bayesian Multitask Learning Approach
- 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
- 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
- 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