A Hybrid Discriminative Mixture Model for Cumulative Citation Recommendation
Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning
An Efficient Approach to Finding Dense Temporal Subgraphs
Feature Selection for Neural Networks Using Group Lasso Regularization
GERF: A Group Event Recommendation Framework Based on Learning-to-Rank
Jointly Learning Topics in Sentence Embedding for Document Summarization
Multi-Campaign Oriented Spatial Crowdsourcing
NewMCOS: Towards a Practical Multi-Cloud Oblivious Storage Scheme
On Combining Biclustering Mining and AdaBoost for Breast Tumor Classification
Reducing Web Page Complexity to Facilitate Effective User Navigation
Scalable Spectral Clustering for Overlapping Community Detection in Large-Scale Networks
Similarity Join and Similarity Self-Join Size Estimation in a Streaming Environment
SRA: Secure Reverse Auction for Task Assignment in Spatial Crowdsourcing
Adaptive Consistency Propagation Method for Graph Clustering
Bayesian Networks for Data Integration in the Absence of Foreign Keys
Discrimination-Aware Projected Matrix Factorization
LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection
Nonparametric Density Estimation Using Copula Transform, Bayesian Sequential Partitioning, and Diffusion-Based Kernel Estimator