Editorial Board
Graph neural network for 6D object pose estimation
Normalized neighborhood component feature selection and feasible-improved weight allocation for input variable selection
Consistency and diversity neural network multi-view multi-label learning
Unsupervised cross-modal similarity via Latent Structure Discrete Hashing Factorization
Free-form tumor synthesis in computed tomography images via richer generative adversarial network
Transfer learning for establishment of recognition of COVID-19 on CT imaging using small-sized training datasets
Forgetful experience replay in hierarchical reinforcement learning from expert demonstrations
Rating-boosted abstractive review summarization with neural personalized generation
Semi-supervised two-phase familial analysis of Android malware with normalized graph embedding
Improving knowledge distillation via an expressive teacher
Information aggregation and fusion in deep neural networks for object interaction exploration for semantic segmentation
MOGBO: A new Multiobjective Gradient-Based Optimizer for real-world structural optimization problems
Self-organizing fuzzy inference ensemble system for big streaming data classification
Guiding data-driven design ideation by knowledge distance
A hybrid ensemble learning method for the identification of gang-related arson cases
A new bearing fault diagnosis approach combining sensitive statistical features with improved multiscale permutation entropy method
Semi-supervised anomaly detection algorithms: A comparative summary and future research directions
Extrapolation-enhanced model for travel decision making: An ensemble machine learning approach considering behavioral theory
An integrated approach of Active Incremental fine-tuning, SegNet, and CRF for cutting tool wearing areas segmentation with small samples
Towards link inference attack against network structure perturbation
Sentence representation with manifold learning for biomedical texts
Single-image deraining via a Recurrent Memory Unit Network
Adaptive cross-contextual word embedding for word polysemy with unsupervised topic modeling
Role-based network embedding via structural features reconstruction with degree-regularized constraint
A conditional variational autoencoder based self-transferred algorithm for imbalanced classification
A gravitational search algorithm with hierarchy and distributed framework
Cognitive structure learning model for hierarchical multi-label text classification
DeepCorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation
Squashing activation functions in benchmark tests: Towards a more eXplainable Artificial Intelligence using continuous-valued logic
Time-and-Concept Enhanced Deep Multidimensional Item Response Theory for interpretable Knowledge Tracing
An effective multi-objective evolutionary algorithm for solving the AGV scheduling problem with pickup and delivery
Preference disaggregation method for value-based multi-decision sorting problems with a real-world application in nanotechnology
Few-shot fine-grained classification with Spatial Attentive Comparison
