A New Linguistic Petri Net for Complex Knowledge Representation and Reasoning
A Self-Play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario
An Effective Imbalanced JPEG Steganalysis Scheme Based on Adaptive Cost-Sensitive Feature Learning
BrePartition: Optimized High-Dimensional kNN Search With Bregman Distances
Capri: Consensus Accelerated Proximal Reweighted Iteration for A Class of Nonconvex Minimizations
Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction
Database Meets Artificial Intelligence: A Survey
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity
Efficient Regular Expression Matching Based on Positional Inverted Index
Efficient Shapelet Discovery for Time Series Classification
Encoding High-Cardinality String Categorical Variables
Enhanced Discrete Multi-Modal Hashing: More Constraints Yet Less Time to Learn
Evaluating Public Anxiety for Topic-Based Communities in Social Networks
Evolutionary Markov Dynamics for Network Community Detection
Fuzzy K-Means Clustering With Discriminative Embedding
GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification
G-PICS: A Framework for GPU-Based Spatial Indexing and Query Processing
Item Concept Network: Towards Concept-Based Item Representation Learning
Joint Learning of User Representation With Diffusion Sequence and Network Structure
Leveraging Currency for Repairing Inconsistent and Incomplete Data
MAB-Based Reinforced Worker Selection Framework for Budgeted Spatial Crowdsensing
mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations via Metagraph Embedding
Modeling Product’s Visual and Functional Characteristics for Recommender Systems
Multi-Source Spatial Entity Linkage
Noise Removal in Embedded Image With Bit Approximation
Persistence of RDF Data into NoSQL: A Survey and a Reference Architecture
Predicting Hot Events in the Early Period through Bayesian Model for Social Networks
Robust Subspace Clustering With Low-Rank Structure Constraint
SACCOS: A Semi-Supervised Framework for Emerging Class Detection and Concept Drift Adaption Over Data Streams
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey
Spatio-Temporal Capsule-Based Reinforcement Learning for Mobility-on-Demand Coordination
Spatio-Temporal Meta Learning for Urban Traffic Prediction
Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction
The Use of Fuzzy Logic as Augmentation to Quantitative Analysis to Unleash Knowledge of Participants’ Uncertainty When Filling a Survey: Case of Cloud Computing
Unsupervised Entity Resolution With Blocking and Graph Algorithms
