WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records

Keyphrases

• Child Poverty 20%
• Court Records 100%
• Data-driven Approach 20%
• Educational Inequality 20%
• Eviction 100%
• Existing Challenges 20%
• Health Inequities 20%
• Income-based 20%
• Labeled Training Data 20%
• Low-income 20%
• Machine Learning Framework 20%
• Neural Network Model 20%
• Novel Machine Learning 20%
• Performance Prediction 20%
• Policy Problems 20%
• Politicians 20%
• Poverty 20%
• Public Policy 20%
• Rent 20%
• Resource Allocation 20%
• Satellite Imagery 40%
• Supervised Neural Network 100%
• Tenants 20%
• U.S. Counties 20%
• Underrepresented Minorities 20%
• United States 60%
• Unlabeled Data 20%
• Weak Supervision 100%

Social Sciences

• Courts 100%
• Crisis 25%
• Data Driven Approach 25%
• Government Policy 25%
• Health Inequity 25%
• Learning System 25%
• Low Income 25%
• Machine Learning 25%
• Minority Groups 25%
• Neural Network 100%
• Nongovernmental Organizations 25%
• Resource Allocation 25%
• Underrepresented Minority 25%
• USA 100%

Computer Science

• Driven Approach 25%
• Experimental Result 25%
• Learning Framework 25%
• Learning System 25%
• Machine Learning 25%
• Neural Network 100%
• Neural Network Model 25%
• Predictive Performance 25%
• Resource Allocation 25%
• Training Data 25%
• United States of America 100%