A Parametric Model Approach for Structural Reconstruction of Scale-Free Networks
An Approach for Building Efficient and Accurate Social Recommender Systems Using Individual Relationship Networks
Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis
Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration
Deep Learning of Graphs with Ngram Convolutional Neural Networks
Detecting Sudden and Gradual Drifts in Business Processes from Execution Traces
Disambiguation-Free Partial Label Learning
DRIMUX: Dynamic Rumor Influence Minimization with User Experience in Social Networks
Efficient Retrieval of Bounded-Cost Informative Routes
Facilitating Time Critical Information Seeking in Social Media
Fast Parallel Path Concatenation for Graph Extraction
Fusing Complete Monotonic Decision Trees
Manifold Learning by Curved Cosine Mapping
Mining Top-k Co-Occurrence Patterns across Multiple Streams
Nodes' Evolution Diversity and Link Prediction in Social Networks
NoSE: Schema Design for NoSQL Applications
Reducing Uncertainty of Probabilistic Top-$k$ Ranking via Pairwise Crowdsourcing
Temporal Interaction and Causal Influence in Community-Based Question Answering
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
Towards Optimal Connectivity on Multi-Layered Networks
Unsupervised Single and Multiple Views Feature Extraction with Structured Graph
Wellness Representation of Users in Social Media: Towards Joint Modelling of Heterogeneity and Temporality