A Hybrid E-Learning Recommendation Approach Based on Learners’ Influence Propagation
A Scalable Multi-Data Sources Based Recursive Approximation Approach for Fast Error Recovery in Big Sensing Data on Cloud
Adversarial Training Towards Robust Multimedia Recommender System
ASCENT: Active Supervision for Semi-Supervised Learning
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning
Control-Flow Modeling with Declare: Behavioral Properties, Computational Complexity, and Tools
Efficient Entity Resolution on Heterogeneous Records
Efficient Process Conformance Checking on the Basis of Uncertain Event-to-Activity Mappings
Generalized Translation-Based Embedding of Knowledge Graph
Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation
Joint Learning of Question Answering and Question Generation
K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks
Quality Control in Crowdsourcing Using Sequential Zero-Determinant Strategies
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data
Trust Relationship Prediction in Alibaba E-Commerce Platform