A Biclustering Method for Heterogeneous and Temporal Medical Data
A Novel Enriched Version of Truncated Nuclear Norm Regularization for Matrix Completion of Inexact Observed Data
CHEER: Rich Model Helps Poor Model via Knowledge Infusion
Cross-Database Micro-Expression Recognition: A Benchmark
Deep Cross-Modal Hashing With Hashing Functions and Unified Hash Codes Jointly Learning
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model
Domain Adaptation on Graphs by Learning Aligned Graph Bases
Effective Keyword Search Over Weighted Graphs
ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering
Evidence Integration for Multi-Hop Reading Comprehension With Graph Neural Networks
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems
Fast and Secure Distributed Nonnegative Matrix Factorization
Gaussian Distribution Based Oversampling for Imbalanced Data Classification
g-Inspector: Recurrent Attention Model on Graph
Hihooi: A Database Replication Middleware for Scaling Transactional Databases Consistently
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation
Information Fusion for (Re)Configuring Bike Station Networks With Crowdsourcing
Linear Approximation of F-Measure for the Performance Evaluation of Classification Algorithms on Imbalanced Data Sets
LookCom: Learning Optimal Network for Community Detection
Maximizing the Utility in Location-Based Mobile Advertising
Multi-Task Learning for Recommendation Over Heterogeneous Information Network
Multi-View Clustering With the Cooperation of Visible and Hidden Views
Multi-View K-Means Clustering With Adaptive Sparse Memberships and Weight Allocation
Neural Text Segmentation and its Application to Sentiment Analysis
Obscure: Information-Theoretically Secure, Oblivious, and Verifiable Aggregation Queries on Secret-Shared Outsourced Data
Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System
PGeoTopic: A Distributed Solution for Mining Geographical Topic Models
Reliability Maximization in Uncertain Graphs
Social Boosted Recommendation With Folded Bipartite Network Embedding
Towards Understanding the Instability of Network Embedding
Unsupervised Discriminative Projection for Feature Selection
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data
Using Randomness to Improve Robustness of Tree-Based Models Against Evasion Attacks
Variable-Length Subsequence Clustering in Time Series
VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers
