Editorial Board
Reputation-Based Maintenance in Case-Based Reasoning
Deep multi-granularity graph embedding for user identity linkage across social networks
An image NSCT-HMT model based on copula entropy multivariate Gaussian scale mixtures
A cross-region transfer learning method for classification of community service cases with small datasets
Improving exploration and exploitation via a Hyperbolic Gravitational Search Algorithm
Additional planning with multiple objectives for reinforcement learning
Variable precision rough set based unsupervised band selection technique for hyperspectral image classification
Robust boosting via self-sampling
Community-oriented attributed network embedding
SRQA: Synthetic Reader for Factoid Question Answering
Disagreement based semi-supervised learning approaches with belief functions
Unsupervised feature selection for balanced clustering
An improved CNN framework for detecting and tracking human body in unconstraint environment
Random Balance ensembles for multiclass imbalance learning
Analyses and applications of optimization methods for complex network reconstruction
Modeling sentiment dependencies with graph convolutional networks for aspect-level sentiment classification
LAC: Library for associative classification
Cross-modal recipe retrieval via parallel- and cross-attention networks learning
Siamese attentional keypoint network for high performance visual tracking
Automated detection of atrial fibrillation and atrial flutter in ECG signals based on convolutional and improved Elman neural network
Knowledge based domain adaptation for semantic segmentation
Diversified viral marketing: The power of sharing over multiple online social networks
A deep-learning approach to mining conditions
Data maximum dispersion classifier in projection space for high-dimension low-sample-size problems
Community search for multiple nodes on attribute graphs
Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks
Dense members of local cores-based density peaks clustering algorithm
Interval type-2 fuzzy multi-attribute decision-making approaches for evaluating the service quality of Chinese commercial banks
The bare-bones differential evolutionary for stochastic joint replenishment with random number of imperfect items
Fast discrete factorization machine for personalized item recommendation
A common attribute reduction form for information systems
Minimizing the influence of rumors during breaking news events in online social networks
A temporal-window framework for modelling and forecasting time series
Proximity-aware heterogeneous information network embedding
Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem
On rule acquisition methods for data classification in heterogeneous incomplete decision systems
Deep Collaborative Embedding for information cascade prediction
Multiscale cascading deep belief network for fault identification of rotating machinery under various working conditions
Appearance and shape based image synthesis by conditional variational generative adversarial network
Bag-of-Concepts representation for document classification based on automatic knowledge acquisition from probabilistic knowledge base
Particle filtering methods for stochastic optimization with application to large-scale empirical risk minimization
Multi-view clustering via clusterwise weights learning
GMM: A generalized mechanics model for identifying the importance of nodes in complex networks
Clustering by transmission learning from data density to label manifold with statistical diffusion
Subspace clustering by simultaneously feature selection and similarity learning
Robust neighborhood embedding for unsupervised feature selection
Label propagation-based approach for detecting review spammer groups on e-commerce websites
