Applications of Knowledge Discovery
Fuzzy World:A Tool Training Agent from Concept Cognitive to Logic Inference
Collaborative Reinforcement Learning Framework to Model Evolution of Cooperation in Sequential Social Dilemmas
SIGTRAN: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks
VOA*: Fast Angle-Based Outlier Detection Over High-Dimensional Data Streams
Learning Probabilistic Latent Structure for Outlier Detection from Multi-View Data
GLAD-PAW: Graph-based Log Anomaly Detection by Position Aware Weighted Graph Attention Network
CubeFlow: Money Laundering Detection with Coupled Tensors
Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection
Unsupervised Domain Adaptation for 3D Medical Image with High Efficiency
A Hierarchical Structure-Aware Embedding Method for Predicting Phenotype-Gene Associations
Autonomous Vehicle Path Prediction using Conditional Variational Autoencoder Networks
Heterogeneous Graph Attention Network for Small and Medium-sized Enterprises Bankruptcy Prediction
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data
Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-Training
Attack Is the Best Defense: A Multi-Mode Poisoning PUF against Machine Learning Attacks
Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweets
TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions
Lifelong Learning based Disease Diagnosis on Clinical Notes
GrabQC: Graph based Query Contextualization for automated ICD coding
Deep Gaussian Mixture Model on Multiple Interpretable Features of Fetal Heart Rate for Pregnancy Wellness
Adverse Drug Events Detection, Extraction and Normalization from Online Comments of Chinese Patent Medicines
Adaptive Graph Co-Attention Networks for Traffic Forecasting
Dual-Stage Bayesian Sequence to Sequence Embeddings for Energy Demand Forecasting
AA-LSTM: An Adversarial Autoencoder Joint Model for Prediction of Equipment Remaining Useful Life
Data Mining of Specialized Data
Analyzing Topic Transitions in Text-based Social Cascades using Dual-Network Hawkes Process
HiPaR: Hierarchical Pattern-Aided Regression
Improved Topology Extraction using Discriminative Parameter Mining of Logs
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion
A k-MCST based Algorithm for Discovering Core-Periphery Structures in Graphs
Detecting Sequentially Novel Classes with Stable Generalization Ability
Learning-based Dynamic Graph Stream Sketch
Discovering Dense Correlated Subgraphs in Dynamic Networks
Fake News Detection with Heterogenous Deep Graph Convolutional Network
Incrementally Finding the Vertices Absent from the Maximum Independent Sets
Neighbours and Kinsmen: Hateful Users Detection with Graph Neural Network
Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs
A Meta-path based Graph Convolutional Network with Multi-Scale Semantic Extractions for Heterogeneous Event Classification
Noise-Enhanced Unsupervised Link Prediction
Weak Supervision Network Embedding for Constrained Graph Learning
RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment
Graph Attention Networks with Positional Embeddings
Unified Robust Training for Graph Neural Networks against Label Noise
Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs
A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention
Maximizing Explainability with SF-Lasso and Selective Inference for Video and Picture Ads. -Reliably Calibrated Isotonic Regression
Multiple Instance Learning for Unilateral Data
An Online Learning Algorithm for Non-Stationary Imbalanced Data by Extra-Charging Minority Class
Locally Linear Support Vector Machines for Imbalanced Data Classification.
Low-Dimensional Representation Learning from Imbalanced Data Streams
PhotoStylist: Altering the Style of Photos based on the Connotations of Texts
Gazetteer-Guided Keyphrase Generation from Research Papers
Minits-AllOcc: An Efficient Algorithm for Mining Timed Sequential Patterns
T^3N: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection
SCARLET: Explainable Attention based Graph Neural Network for Fake News spreader prediction
Content matters: A GNN-based Model Combined with Text Semantics for Social Network Cascade Prediction
TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting
Traffic Flow Driven Spatio-Temporal Graph Convolutional Network for Ride-hailing Demand Forecasting
A Proximity Forest for Multivariate Time Series Classification
C²-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction
Simultaneous multiple POI population patternanalysis system with HDP mixture regression
Interpretable Feature Construction for Time Series Extrinsic Regression
SEPC: Improving Joint Extraction of Entities and Relations by Strengthening Entity Pairs Connection.