A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks
A Review for Weighted MinHash Algorithms
A Survey on Large-Scale Machine Learning
Adaptive Lower-Level Driven Compaction to Optimize LSM-Tree Key-Value Stores
An Experimental Study of State-of-the-Art Entity Alignment Approaches
Anomaly Detection in Quasi-Periodic Time Series Based on Automatic Data Segmentation and Attentional LSTM-CNN
Approximate Algorithms for Data-Driven Influence Limitation
AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction
Collaborative List-and-Pairwise Filtering From Implicit Feedback
Deep Learning for Adverse Event Detection From Web Search
Detecting Hierarchical and Overlapping Network Communities Based on Opinion Dynamics
Detecting Statistically Significant Communities
Efficient Algorithms for Kernel Aggregation Queries
Fast Streaming $k$k-Means Clustering With Coreset Caching
Fine-Grained Urban Flow Inference
Hypergraph Partitioning With Embeddings
IncGraph: An Improved Distributed Incremental Graph Computing Model and Framework Based on Spark GraphX
Item Recommendation for Word-of-Mouth Scenario in Social E-Commerce
Iterative Refinement for Multi-Source Visual Domain Adaptation
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Neighborhood Matters: Influence Maximization in Social Networks With Limited Access
Optimal Estimation of Low-Rank Factors via Feature Level Data Fusion of Multiplex Signal Systems
Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels
Representation Learning From Limited Educational Data With Crowdsourced Labels
sCOs: Semi-Supervised Co-Selection by a Similarity Preserving Approach
Semi-Supervised Learning With the EM Algorithm: A Comparative Study Between Unstructured and Structured Prediction
Social Recommendation With Characterized Regularization
Spiral of Silence and Its Application in Recommender Systems
Tensor Canonical Correlation Analysis Networks for Multi-View Remote Sensing Scene Recognition
The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks
Toward Predicting Active Participants in Tweet Streams: A Case Study on Two Civil Rights Events
T-PAIR: Temporal Node-Pair Embedding for Automatic Biomedical Hypothesis Generation
Unsupervised Feature Learning Architecture With Multi-Clustering Integration RBM
Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning
