Editorial Board
Multi-population following behavior-driven fruit fly optimization: A Markov chain convergence proof and comprehensive analysis
Joint Topic-Semantic-aware Social Matrix Factorization for online voting recommendation
Paper recommendation based on heterogeneous network embedding
Imbalance accuracy metric for model selection in multi-class imbalance classification problems
Deeply scale aggregation network for object counting
CFSRE: Context-aware based on frame-semantics for distantly supervised relation extraction
A clinical coding recommender system
Incremental learning based multi-domain adaptation for object detection
Modeling Shipment Spot Pricing in the Australian Container Shipping Industry: Case of ASIA-OCEANIA trade lane
Multi-view generalized support vector machine via mining the inherent relationship between views with applications to face and fire smoke recognition
Knowledge Augmented Dialogue Generation with Divergent Facts Selection
SEDNN: Shared and enhanced deep neural network model for cross-prompt automated essay scoring
Weighted objective distance for the classification of elderly people with hypertension
Domain adaptation for regression under Beer–Lambert’s law
Predicting time and location of future crimes with recommendation methods
Balancing Exploration and Exploitation: A novel active learner for imbalanced data
Memory transformation networks for weakly supervised visual classification
Joint event extraction along shortest dependency paths using graph convolutional networks
A deep neural network based multi-task learning approach to hate speech detection
DECAB-LSTM: Deep Contextualized Attentional Bidirectional LSTM for cancer hallmark classification
Bayesian robust multi-extreme learning machine
Exercise recommendation based on knowledge concept prediction
A framework for optimizing extended belief rule base systems with improved Ball trees
Self-supervised representation learning by predicting visual permutations
How to implement MCDM tools and continuous logic into neural computation?: Towards better interpretability of neural networks
FastRCA-Seq: An efficient approach for extracting hierarchies of multilevel closed partially-ordered patterns
Robust energy preserving embedding for multi-view subspace clustering
Apply transfer learning to cybersecurity: Predicting exploitability of vulnerabilities by description
Robust multi-view k-means clustering with outlier removal
A descriptive framework for the field of deep learning applications in medical images
