A General Approach for Supporting Time Series Matching Using Multiple-Warped Distances
A Hidden Markov Contour Tree Model for Spatial Structured Prediction
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges
A Unified Framework for User Identification Across Online and Offline Data
Adaptive Temporal-Frequency Network for Time-Series Forecasting
Adaptively Secure and Fast Processing of Conjunctive Queries Over Encrypted Data
Adversarial Deep Embedded Clustering: On a Better Trade-off Between Feature Randomness and Feature Drift
An Efficient Split-Merge Re-Start for the $K$K-Means Algorithm
Analyzing In-Memory NoSQL Landscape
Answer Again: Improving VQA With Cascaded-Answering Model
ChOracle: A Unified Statistical Framework for Churn Prediction
Continuous Monitoring of Maximum Clique Over Dynamic Graphs
Deterministic Inference of Topic Models via Maximal Latent State Replication
Dimensionality Reduction Based on Multilocal Linear Pattern Preservation
Discretization Using Combination of Heuristics for High Accuracy With Huge Noise Reduction
DRprofiling: Deep Reinforcement User Profiling for Recommendations in Heterogenous Information Networks
Efficient Match-Based Candidate Network Generation for Keyword Queries Over Relational Databases
Enabling Time-Centric Computation for Efficient Temporal Graph Traversals From Multiple Sources
Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination
From Anticipation to Action: Data Reveal Mobile Shopping Patterns During a Yearly Mega Sale Event in China
GFocus: User Focus-Based Graph Query Autocompletion
Gradual Machine Learning for Entity Resolution
Improving I/O Complexity of Triangle Enumeration
Large Scale Network Embedding: A Separable Approach
LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks
Magnitude Bounded Matrix Factorisation for Recommender Systems
Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach
Missing Value Imputation via Clusterwise Linear Regression
Modeling Spatial Trajectories With Attribute Representation Learning
Multi Task Mutual Learning for Joint Sentiment Classification and Topic Detection
Online Pricing With Reserve Price Constraint for Personal Data Markets
Personalized Long- and Short-term Preference Learning for Next POI Recommendation
PPD: A Scalable and Efficient Parallel Primal-Dual Coordinate Descent Algorithm
Privacy-Preserving Feature Extraction via Adversarial Training
SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks
Target-Aware Holistic Influence Maximization in Spatial Social Networks
Unsupervised Large Graph Embedding Based on Balanced and Hierarchical K-Means
