• Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks
• Multi-Cast Attention Networks
• Hyperparameter Importance Across Datasets
• Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property P
• NetLSD: Hearing the Shape of a Graph
• Multi-label Learning with Highly Incomplete Data via Collaborative Embedding
• Audience Size Forecasting: Fast and Smart Budget Planning for Media Buyers
• Inferring Metapopulation Propagation Network for Intra-city Epidemic Control and Prevention
• Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs
• Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Beh
• Hyperparameter Importance Across Datasets_2
• Smoothed Dilated Convolutions for Improved Dense Prediction
• Adversarial Attacks on Neural Networks for Graph Data
• Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks
• Large-Scale Learnable Graph Convolutional Networks
• Learning Tree-based Deep Model for Recommender Systems
• Career Transitions and Trajectories: A Case Study in Computing
• Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibi
• Exploring Student Check-In Behavior for Improved Point-of-Interest Prediction
• Rotation-Blended CNNs on a New Open Dataset for Tropical Cyclone Image-to-intensity Regression