Editorial Board
Continual learning classification method with constant-sized memory cells based on the artificial immune system
Self-paced learning enhanced neural matrix factorization for noise-aware recommendation
Dynamic evidential clustering algorithm
Identification of multi-layer networks community by fusing nonnegative matrix factorization and topological structural information
Multi-goal multi-agent learning for task-oriented dialogue with bidirectional teacher–student learning
A hybrid deep learning architecture for opinion-oriented multi-document summarization based on multi-feature fusion
Network motifs: A key variable in the equation of dynamic flow between macro and micro layers in Complex Networks
Cross-domain recommendation with user personality
Predict high-frequency trading marker via manifold learning
Damped sliding based utility oriented pattern mining over stream data
A Trustworthy Human–Machine framework for collective decision making in Food–Energy–Water management: The role of trust sensitivity
Optimization of integrated fuzzy decision tree and regression models for selection of oil spill response method in the Arctic
Learning a deep network with cross-hierarchy aggregation for crowd counting
A bi-objective optimization method to produce a near-optimal number of classifiers and increase diversity in Bagging
Combining contextualized word representation and sub-document level analysis through Bi-LSTM+CRF architecture for clinical de-identification
Rolling bearing fault diagnosis using optimal ensemble deep transfer network
Influence of community structure on misinformation containment in online social networks
Top-k star queries on knowledge graphs through semantic-aware bounding match scores
An adaptive deep learning method for item recommendation system
Multi independent latent component extension of naive Bayes classifier
MEdit4CEP-SP: A model-driven solution to improve decision-making through user-friendly management and real-time processing of heterogeneous data streams
Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection
Structural residual learning for single image rain removal
Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence
A deep reinforcement learning based long-term recommender system
Building energy consumption models based on smartphone user’s usage patterns
Federated learning for machinery fault diagnosis with dynamic validation and self-supervision
Classifier chains for positive unlabelled multi-label learning
MapReduce based parallel attribute reduction in Incomplete Decision Systems
A new crude oil price forecasting model based on variational mode decomposition
Photometric transfer for direct visual odometry
A semi-decentralized feudal multi-agent learned-goal algorithm for multi-intersection traffic signal control
A novel progressively undersampling method based on the density peaks sequence for imbalanced data
Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems
A bioinformatic variant fruit fly optimizer for tackling optimization problems
DGC: Dynamic group behavior modeling that utilizes context information for group recommendation
Bidirectional loss function for Label Enhancement and distribution learning
GBK-means clustering algorithm: An improvement to the K-means algorithm based on the bargaining game
TAU: Transferable Attention U-Net for optic disc and cup segmentation
Efficient diversified influence maximization with adaptive policies
An improved approach for estimating social POI boundaries with textual attributes on social media
Kernel-attended residual network for single image super-resolution
Robust hybrid deep learning models for Alzheimer’s progression detection
Towards multi-scale deep features learning with correlation metric for person re-identification
Automatic construction of domain-specific sentiment lexicon for unsupervised domain adaptation and sentiment classification
Neural graph personalized ranking for Top-N Recommendation
Comparative study on the time series forecasting of web traffic based on statistical model and Generative Adversarial model
Competitive and complementary influence maximization in social network: A follower’s perspective
CoRelatE: Learning the correlation in multi-fold relations for knowledge graph embedding
Prior-knowledge and attention based meta-learning for few-shot learning
A deep learning based image enhancement approach for autonomous driving at night
