Towards Holistic Concept Representations: Embedding Relational Knowledge, Visual Attributes, and Distributional Word Semantics
Network embeddings for modeling polypharmacy and drug-drug interactions
Multi-task learning in the analysis of phenotypic data
Geographic Information System Basics
Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding
Rule Learning from Knowledge Graphs Guided by Embedding Models
Visualizing qualitative patterns in multivariate time series
Transformative Machine Learning: Explicit is Better than Implicit
Document Embedding Models on Environmental Legal Documents
KADE: Aligning Knowledge Base and Document Embedding Models using Regularized Multi-Task Learning