Multiscale Feature Fusion for Salient Object Detection of Strip Steel Surface Defects.

Dual convolutional neural network for crowd counting.

Ensemble based on accuracy and diversity weighting for evolving data streams.

Stability-Constraint-Free Solutions to Solve Time-Varying Linear Equation System.

Constructing accuracy and diversity ensemble using Pareto-based multi-objective learning for evolving data streams.

Cost-Sensitive Classification for Evolving Data Streams with Concept Drift and Class Imbalance.

Stacking model of multi-label classification based on pruning strategies.

Two-Stage Cost-Sensitive Learning for Data Streams With Concept Drift and Class Imbalance.

Efficient Ensemble Classification for Multi-Label Data Streams with Concept Drift.

Tracking recurring concepts from evolving data streams using ensemble method.

一种基于树型贝叶斯网络的集成多标记分类算法 (Ensemble Multi-label Classification Algorithm Based on Tree-Bayesian Network).

An effective pattern-based Bayesian classifier for evolving data stream.

A Classifier Graph Based Recurring Concept Detection and Prediction Approach.

基于时间的局部低秩张量分解的协同过滤推荐算法 (Time-based Local Collaborative Filtering Recommendation Algorithm on Tensor Factorization).

Online Ensemble Using Adaptive Windowing for Data Streams with Concept Drift.

A lazy associative classifier for time series.